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AZ-900: Microsoft Azure Fundamentals – Top 100 Questions and Answers Dumps
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AZ-900: Microsoft Azure Fundamentals – Top 100 Questions and Answers Dumps
Amazon’s AWS and Microsoft’s Azure are the big boys of the cloud computing world, even though AWS is much bigger than Azure.
Revenue from Microsoft Azure grew 72% from 2018 from $7.56 billion to $13 billion. Azure contributed to almost 10.5% of Microsoft’s total revenue in 2019. It has also been noted that the US defense chose Azure in its tactical operations. The last quarter earnings of 2019 grew by 64%.
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Azure Fundamentals exam is an opportunity to prove knowledge of:
Describing Cloud Concepts (20%),
Describing Azure services (20%),
Describing core solutions and management tools on Azure (10-15%),
Describing general security and network security features (10-15%),
Describing identity, governance, privacy, and compliance features (15-20%),
Describe Azure cost management and Service Level Agreements (10-15%)
This blog also includes Azure Services Cheat Sheet.
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The exam is intended for candidates who are just beginning to work with cloud-based solutions and services or are new to Azure.
Candidates should be familiar with the general technology concepts, including concepts of
networking, storage, compute, application support, and application development.
Azure Fundamentals can be used to prepare for other Azure role-based or specialty
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Below are the top 100 AZ-900 Microsoft Azure fundamentals Certification exam questions and answers dumps.
I- AZ-900 Cloud Concepts – Azure Services
Question 1: Microsoft Office 365 is an example of which cloud deployment model?
A. PaaS
B. IaaS
C. CASB
D. SaaS
Answer1:
Notes:
Question 2: You have an on-premises application that processes incoming Simple Message Submission Service (SMSS) queue messages and records the data to a log file. You migrate this application to an Azure function app. What kind of cloud service would this be considered?
A. Software-as-a-Service (SaaS)
B. Infrastructure-as-a-Service (IaaS)
C. Serverless
D. Platform-as-a-Service (PaaS)
Answer2:
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Notes2:
Question 3: Define “economy of scale”.
A. Spending money on products or services now and being billed for them now. You can deduct this expense from your tax bill in the same year.
B. Spending money on physical infrastructure up front, and then deducting that expense from your tax bill over time.
C. Prices for individual resources and services are provided so you can predict how much you will spend in a given billing period based on your expected usage.
D. The ability to do things more efficiently or at a lower cost per unit when operating at a larger scale.
Answer 3:
Notes 3:
Question 4: Which of the following are characteristic of private clouds?
A. Lower costs
B. High scalability
C. Improved security
D. Limited flexibility
Answer 4:
Notes 4:
Question 5: Which of the following Azure solutions allows you to geographically cache and distribute high-bandwidth content, such as streaming videos, to users in different parts of the world?
A. Content Delivery Network (CDN)
B. Load Balancer
C. Application Gateway
D. Virtual Network Gateway
Answer 5:
Notes 5:
Question 6: You are beginning to extend your on-premises data center into Azure. You have created a new Azure subscription and resource group called RG-One. You deploy two virtual machines into RG-One with the intent of promoting these to Active Directory domain controllers. What kind of cloud service would this be considered?
A. Platform-as-a-Service (PaaS)
B. Infrastructure-as-a-Service (IaaS)
C. Software-as-a-Service (SaaS)
D. Hybrid-as-a-Service (HaaS)
Answer 6:
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Notes 6:
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Question 7: Select the concept that is defined as ensuring that servers are available if a single data center goes offline.
A. Scalability
B. Fault tolerance
C. Elasticity
D. Agility
Answer 7:
Notes 7:
Question 8: In regards to comparing Public Cloud and Private Cloud, which of these best describe the characteristics of a Public Cloud?
A. No-upfront costs
B. More control over the security
C. Less reliability
D. Less maintenance
Answer 8:
Notes 8
Question 9: Which of the following are considered capital expenditures (CapEx)?
A. Storage area network
B. Cloud-based virtual machine
C. Office 365 licenses
D. Hyper-V host server
Answer 9:
Notes 9:
Question 10: You are in the process of migrating your existing on-premises SQL databases to Azure. You will migrate them to Azure SQL databases, as opposed to deploying SQL database servers in Azure. What kind of cloud service would this be considered?
A. Software-as-a-Service (SaaS)
B. Platform-as-a-Service (PaaS)
C. Serverless
D. Infrastructure-as-a-Service (IaaS)
Answer 10:
Notes 10:
Question 11: Which of the following statements are true for IaaS cloud services?
A. The client is responsible for purchasing all Operating System (OS) host licensing.
B. Services can be scaled automatically to support system load.
C. The client has complete control over the host operating system.
D. The client is responsible for all guest OS and application updates.
Answer 11:
Notes 11:
Question 12: Which of the following tools can be used to manage Azure resources on a Google Chromebook?
A. Azure portal
B. PowerShell
C. Azure Cloud Shell
D. Azure CLI
Answer 12:
Notes 12:
Question 13: Which Azure service can provide big data analysis for machine learning?
A. Azure App Service
B. Azure WebJobs
C. Application Insights
D. Azure Databricks
Answer 13:
Notes 13:
Question 14: You need to create an Azure storage solution that will store messages created by an Azure web role. The messages will then be processed by an Azure worker role. What type of storage solution should you create?
A. A Queue service in a storage account
B. A virtual machine data disk
C. A File service in a storage account
D. A Blob service in a storage account
Answer 14:
Notes 14:
Question 15: You have an on-premises application that sends email notifications automatically based on a rule. You plan to migrate the application to Azure. You need to recommend a computing solution for the application that should minimize costs by incurring charges only when it is executed.
Which Azure solution is best for this type of application?
A. Logic App
B. A web app
C. Service Bus App
D. IaaS web server in Azure
Answer 15:
Notes 15:
Question 16: You are the Systems Administrator for a local university. You are deploying several sets of systems that will be used for research and development teams. Each set of systems will be uniform in nature, containing the same number and type of Azure resources.
What should you recommend to automate the creation of these Azure resources?
A. Azure Resource Manager templates
B. Multiple Azure subscriptions
C. Management groups
D. Virtual machine scale sets
Answer 16:
Notes 16:
Question 17: You are deploying a pair of Azure virtual machines. You want to ensure that the application will remain available in the event of a complete data center failure. What Azure technology will help most in this task?
A. Locally redundant storage
B. Zone Redundant Storage
C. Availability zone
D. Availability set
Answer 17:
Notes 17:
Question 18: Which of the following database solutions has the ability to add data concurrently from multiple regions simultaneously?
A. SQL managed instances
B. Cosmos DB
C. SQL Data Warehouses
D. Azure SQL Databases
Answer 18:
Notes 18:
Question 19: Which Azure service can host your web apps without you having to manage underlying infrastructure?
A. Azure App Service
B. Azure WebJobs
C. Azure Databricks
D. Application Insights
Answer 19:
Notes 19:
Question 20: Which of the following components can be used to load balance traffic to web applications, such as Azure App Service web apps using layer 7 of the OSI model?
A. Virtual Network
B. Virtual Network Gateway
C. Route table
D. Load Balancer
E. Application Gateway
Answer 20:
Notes 20:
Question 21: Which Azure service can help you collect, analyze, and act on telemetry from your cloud and on-premises environments?
A. Azure App Service
B. Azure Monitor
C. Azure Analyzer
D. Azure WebJobs
Answer 21:
Notes 21:
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II- Azure workloads, Security, Privacy, Compliance, and Trust
Question 22: Which of the following components are required to establish communication between on-premises resources and resources in Azure?
A. Virtual Network
B. VNet peer
C. Route tables
D. Virtual network gateway
Answer 22:
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Notes 22:
Question 23: Which Azure service should you use to correlate metrics and logs from multiple resources into a centralized repository?
A. Azure Event Grid
B. Azure Event Hubs
C. Azure SQL Data Warehouse
D. Azure Monitor
Answer 23:
Notes 23:
Question 24: You are the Azure Administrator for Radio Gaga, LTD. You have a resource group named RG-RG and need to ensure no other administrators can create virtual networks in this resource group. What can you implement to accomplish this?
A. Access Control (IAM)
B. Azure policy
C. Locks
D. Properties
Answer 24:
Notes 24:
Question 25: Which of the following is the organization that defines standards used by the United States government?
A. NIST
B. ITIL
C. GDPR
D. ISO
Answer 25:
Notes 25:
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Question 26: You have an Azure virtual network named VNet in a resource group named Bob-RG. You assign an Azure policy specifying virtual networks are not an allowed resource type in Bob-RG. What happens to VNet once this policy is applied?
A. VNet is moved to a new resource group.
B. Bob-RG is deleted automatically
C. VNet continues to function normally, but no new subnets can be added.
D. VNet is deleted automatically.
Answer 26:
Notes 26:
Question 27: Which Azure tool allows you to view which user turned off a specific virtual machine during the last 14 days?
A. Azure Event Hubs
B. Azure Activity Log
C. Azure Service Health
D. Azure Monitor
Answer 27:
Notes 27:
Question 28: What kind of information does Azure Information Protection protect?
A. Email messages
B. Office documents
C. Azure Blob Storage
D. Virtual hard disks
E. PDF documents
Answer 28:
Notes 28:
Question 29: Which of the following is true regarding HDInsight?
A. It is an on-demand analytics job service that simplifies big data. Instead of deploying, configuring, and tuning hardware, you write queries to transform your data and extract valuable insights.
B. It is a managed relational cloud database service.
C. It is a cloud-based service that is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics.
D. It is an open-source framework for the distributed processing and analysis of big datasets in clusters.
Answer 29:
Notes 29:
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Question 30: Which of the following website provides information on Azure product updates, roadmaps, and announcements?
A. https://preview.portal.azure.com/
B. https://azure.microsoft.com/en-us/updates/
C. https://portal.azure.com/
D. https://azure.microsoft.com/en-us/services/updates/
Answer 30:
Notes 30:
Questions 31: Azure virtual machines can be moved between which of the following Azure resources?
A. Subscriptions
B. Regions
C. Availability Sets
D. Resource Groups
E. Availability Zones
Answer 31:
Notes 31:
II- Azure Pricing and Support
Question 32: Which Azure support plans can open support cases?
A. Professional Direct
B. Basic
C. Standard
D. Developer
E. Premier
Answer 32:
Notes 32:
Question 33: For any Single Instance virtual machine using premium SSD or Ultra Disk for all Operating System Disks and Data Disks, what is the SLA guarantee for virtual machine connectivity?
A. 99.9%
B. 99.99
C. 99.95%
D. There is no SLA guarantee
Answer 33:
Notes 33:
Question 34: Which of the following Azure services is a cloud-based service that leverages massively parallel processing (MPP) to quickly run complex queries across petabytes of data in a relational database?
A. Azure SQL database
B. Azure HDInsight
C. Azure SQL Data Warehouse (Azure Synapse )
D. Azure Data Lake Analytics
Answer 34:
Notes 34:
Question 35: You have an Azure subscription that contains the following unused resources:
Name | Type | Configuration |
---|---|---|
nic0 | Network Interface | 10.0.0.6 |
pip1 | Public IP | Static |
lb1 | Load Balancer | Standard, 5 rules configured |
VNet2 | Virtual Network | 10.1.0.0/16 |
VM3 | Virtual Machine | Stopped (Deallocated) |
Based on this information, which of the following unused resources should you remove to lower cost?
A. lb1
B. VNet2
C. pip1
D. nic0
E. VM3
Answer 35:
Notes 35:
Question 36: Which of the following recommendations is provided by Azure Advisor?
A. Azure resource costs
B. Azure virtual machine IP configuration
C. Storage performance and reliability
D. Azure App Service security
Answer 36:
Notes 36:
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Question 37: You are planning on purchasing Azure AD Premium for your Azure subscription. What is the SLA for this product?
A. 99.99%
B. 99.9%
C. 99.95%
D. Azure AD products are not covered under an SLA.
Answer 37:
Notes 37:
Question 38: Which of the following Azure support plans offer Severity “A” and “B” cases to be opened?
A. Premier
B. Standard
C. Developer
D. Professional Direct
E. Basic
Answer 38:
Notes 38:
Question 39: This question requires that you evaluate the underlined text to determine if it is correct.
When you are implementing a software as a service (SaaS) solution, you are responsible for configuring high availability.
Instructions: Review the underlined text. If it makes the statement correct, select “No change is needed”. If the statement is incorrect, select the answer choice that makes the statement correct.
A. No change is needed.
B. defining scalability rules
C. installing the SaaS solution
D. configuring the SaaS solution
Answer 39:
Notes 39:
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Question 40: You have an on-premises network that contains several servers.
You plan to migrate all the servers to Azure.
You need to recommend a solution to ensure that some of the servers are available if a single Azure data center goes offline for an extended period.
What should you include in the recommendation?
A. fault tolerance
B. elasticity
C. scalability
D. low latency
Answer 40:
Notes 40:
Question 41: This question requires that you evaluate the underlined text to determine if it is correct.
When planning to migrate a public website to Azure, you must plan to pay monthly usage costs.
Instructions: Review the underlined text. If it makes the statement correct, select “No change is needed”. If the statement is incorrect, select the answer choice that makes the statement correct.
A. No change is needed
B. Deploy a VPN
C. pay to transfer all the website data to Azure
D. reduce the number of connections to the website
Answer 41:
Notes 41:
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Question 42: You have an on-premises network that contains 100 servers.
You need to recommend a solution that provides additional resources to your users. The solution must minimize capital and operational expenditure costs.
What should you include in the recommendation?
A. a complete migration to the public cloud
B. an additional data center
C. a private cloud
D. a hybrid cloud
Answer 42:
Notes 42:
Question 43: Which Azure offering refers to a set of development, testing, and automation tools?
A. Azure Cognitive Services
B. Azure Boards
C. Azure DevOps
D. GitHub
Answer 43:
Question 44: Which of the following are available in the Azure Marketplace?
A. Virtual machine images
B. SaaS applications
C. Solution templates
D. Sample application code
Answer 44:
Question 45: Which of the following regulates data privacy in the European Union (EU)?
A. ITIL
B. GDPR
C. ISO
D. NIST
Answer 45:
Question 46: You currently have two Azure Pay-As-You-Go subscriptions. You would like to transfer billing ownership of the subscriptions to another account while moving the subscriptions into the other accounts Azure AD tenant. How can you accomplish this?
A. Open a support ticket by contacting Microsoft Azure Support
B. In the Azure Portal, under Azure Subscriptions click Change Directory
C. Using Azure CLI, run the az account merge
command
D. In the Azure Portal, under Cost Management + Billing under Azure Subscriptions
Answer 46:
Question 47: Where can you open a new Azure support request?
A. Knowledge Center
C. Azure Portal
D. Security Center
Answer 47:
Question 48: You attempt to create several managed disks in your Azure environment. In the Portal, you receive a message that you must increase your Azure subscription limits. What should you do to increase the limits?
A. Modify an Azure policy.
B. Use Azure PowerShell to create the new managed disks.
C. Create a new support request.
D. Upgrade your support plan.
Answer 48:
Question 49: A company wants to build a new voting kiosk for sales to governments around the world. Which IoT technologies should the company choose to ensure the highest degree of security?
A. IoT Hub
B. IoT Central
C. Azure Sphere
D. Azure IoT
Answer 49:
Question 50: This question requires that you evaluate the underlined text to determine if it is correct.
When you are implementing a software as a service (SaaS) solution, you are responsible for configuring high availability.
Instructions: Review the underlined text. If it makes the statement correct, select “No change is needed”. If the statement is incorrect, select the answer choice that makes the statement correct.
A. No change is needed.
B. defining scalability rules
C. installing the SaaS solution
D. configuring the SaaS solution
Answer 50:
Question 51: A company wants to quickly manage its individual IoT devices by using a web-based user interface. Which IoT technology should it choose?
A. IoT Hub
B. IoT Central
C. Azure Sphere
D. Azure IoT
Question 52: You want to send messages from the IoT device to the cloud and vice versa. Which IoT technology can send and receive messages?
A. IoT Hub
B. IoT Central
C. Azure Sphere
D. Azure IoT
IV- Microsoft Azure Question and Answers
In Azure, every VM – regardless if Linux or Windows – gets a temporary disk assigned automatically. This temporary disk is located on the physical server (the hypervisor) where the Azure VM is hosted and is non-persistent. Disks used by the operating system or additionally added data disks are persistent disks and stored in Azure Storage.
Azure VM’s can be moved from its current host to new host at any time due to maintenance, hardware failures or other reasons. In such an event, the data from the temporary storage will not preserve or moved to the new host. Apart from the hardware failures, there are many other reasons data from the temporary disk will be lost:
- Resizing of the VM
- Restarting of the VM
- Moving from one host to another
- Updating/upgrading of host
Really, the temporary disk should never be used for data that has to be persistent. To avoid misconfiguration, the disk also has the drive label “Temporary Storage” and includes a text file “DATALOSS_WARNING_README.txt”. Read more here…
Does Azure VM include a Windows license?
It depends on the virtual machine type we talk about. Some Azure virtual machines include a Windows operating system license in their price (some even include a SQL Server). Some do not, however, there is an “Azure Hybrid Use Benefit” in certain Microsoft licensing programs, where basically the customer can use its previously acquired software licenses on Azure virtual machines (“bring you own license”). Also, there are Azure virtual machines available with different Linux distributions (both commercial and community), Windows Server license is obviously not included in these. Continue reading here
Please consult the Windows virtual machine pricing guide of Azure for details: Pricing – Windows Virtual Machines | Microsoft Azure
Does Azure VM cost include an OS disk?
What is a data disk in Azure VM?
What are things to look out for when choosing a location for your Microsoft Azure VM?
Could I connect to a Linux Azure VM using SSH and private IP through Putty?
How do I monitor my Azure VM?
- Step 1 − Login to Azure Management Portal.
- Step 2 − Go to Virtual Machine.
- Step 3 − Select the virtual machine you want to monitor.
- Step 4 − Select Monitor from the top menu as shown in following image.
How do we make an Azure VM accessible from outside?
- Open VM instance and run the server on port 80 and checked the localhost is running in the local browse,
- added port 80 in the inbound of Network security group,
- turned off all three types of firewall from the VM windows.
How do you see the memory usage of an Azure VM?
- Click on a Windows VM.
- Select Diagnostics settings from the Azure UI blade.
- Under the Overview tab: Pick a Storage account: Select your storage account so that the metrics stats can be stored. Click on ‘Enable guest level monitoring‘ and wait for the process to complete.
If I change the size of my Azure VM while running a script, will that stop the execution of the script? (Currently using a Linux VM).
How do I make an Azure VM snapshot?
- On the Azure portal, select Create a resource.
- Search for and select Snapshot.
- In the Snapshot window, select Create. …
- Enter a Name for the snapshot.
- Select an existing Resource group or enter the name of a new one.
- Select an Azure datacenter Location.
Can we restrict a developer (on Microsoft Azure VM) to not upload a source code on any website or email?
Can we spin up a Windows Azure VM programmatically from a php page? We can assume that we have valid Microsoft Credentials.
How do you reduce the size of my Azure VM disk?
Your company wants to use Azure to manage all of their IoT devices. They are going to create the infrastructure themselves, but need a backend in Azure to manage the flow of data, and to ensure security as well as ease of deployment of new devices. Which Azure product or solution would be suitable?
Azure IoT Hub is a solution for providing managed services for large IoT projects. It provides secure and reliable communication from devices to the Azure backend. Azure IoT Central is a SaaS solution that provides both managed connections and security as well as the dashboards and applications to use the data. Event Grid is used to connect many Azure services. IoT Hub
Your company has a new Azure virtual network that needs to be secured. What is the best way to only allow specific kinds of outside traffic into this network?
Use an Azure Firewall attached to the virtual network.
Azure Firewall blocks any incoming or outgoing traffic that isn’t specifically allowed on a network. A Network Security Group manages the traffic to specific services, Azure DDoS Protection Service protects against attacks and a load balancer distributes traffic to specific VMs. Azure Firewall FAQ
How is authorization different from authentication?
Authentication is the process of proving that you are who you say you are. Authorization is the act of granting an authenticated party permission to do something.
Authentication is the process of proving that you are who you say you are. It’s sometimes shortened to AuthN. The Microsoft identity platform uses the OpenID Connect protocol for handling authentication. Authorization is the act of granting an authenticated party permission to do something. It specifies what data you’re allowed to access and what you can do with that data. Authorization is sometimes shortened to AuthZ. The Microsoft identity platform uses the OAuth 2.0 protocol for handling authorization. Reference: Authentication vs. authorization
Which minimum costing support plan provides access to general guidance with architecture support?
The Developer support plan provides access to technical support via email in business hours and is the most-effective. The Standard and
Azure Support Plans Comparison
You are looking to build and host your website on Azure without needing to manage the underlying infrastructure. Which type of Cloud service should you choose?
Platform as a service (PaaS) is a complete development and deployment environment in the cloud, with resources that enable you to deliver everything from simple cloud-based apps to sophisticated, cloud-enabled enterprise applications, all without you having to manage any of the underlying infrastructure or services. Reference: What is PaaS? Platform as a Service
You are beginning to extend your on-premises data center into Azure. You have created a new Azure subscription and resource group called RG-One. You deploy two virtual machines into RG-One with the intent of promoting these to Active Directory domain controllers. What kind of cloud service would this be considered?
Infrastructure as a service (IaaS) is the use of on-demand computing infrastructure which is provisioned and managed over the internet. Deploying virtual machines into an Azure subscription would be considered an IaaS service. Reference: What is IaaS? Infrastructure as a Service
Define the concept of “dynamic elasticity.”
Dynamic elasticity is defined as a cloud service that both quickly scales up and also back down in order to serve your changing workload patterns for the lowest cost.
Which Azure service can host your web apps without you having to manage underlying infrastructure?
Azure App Service enables you to build and host web apps, mobile back-ends, and RESTful APIs in the programming language of your choice without managing infrastructure. Azure App Service documentation – Azure App Service
Which Azure service can you use to make sure your virtual machines are running smoothly and without problems?
Azure Monitor collects and analyzes telemetry data from your virtual machines to provide your with alerts and recommendations for how they are running.
Azure Monitor overview – Azure Monitor
Which Azure DevOps tool would you use to share applications and code libraries?
Azure Artifacts is a service in Azure DevOps, which can host code libraries and applications for you to share internally or externally. Azure Boards is for project managers. Azure Repos holds your source code. Azure Test Plans is used to create manual and automatic test scenarios for your application. Azure Pipelines is the process that builds and deploys your application. Azure DevOps Services
What are the main components of an Azure VPN Gateway setup?
The VPN Gateway must be attached to an Azure Virtual Network.
An on-premises network with a complimentary gateway that can accept the encrypted data.
A secure connection, called a tunnel, which encrypts the traffic sent through it.
An Azure VPN Gateway consists of a Virtual Network, a secure connection called a tunnel, and an on-premises network and gateway. A storage account, a backend pool of VMs and a Load Balancer are not needed. About Azure VPN Gateway
Your company has a large amount of documents that are both sensitive and important to a large number of people. How would you secure these documents so you can still share them, but track where they are?
Use Azure Information Protection – Azure Information Protection (AIP) is a cloud-based solution that helps your organization to classify and protect its documents and emails by applying labels. What is Azure Information Protection?
Which Azure solution would you implement to embed a watermark into Office documents that contain social security numbers?
Azure Information Protection (sometimes referred to as AIP) is a cloud-based solution that helps an organization classify and, optionally, protect its documents and emails by applying labels. Labels can be applied automatically by administrators who define rules and conditions, manually by users, or a combination where users are given recommendations. Azure Active Directory. This includes access to resources in Azure AD, Azure resources, and other Microsoft Online Services, like Office 365 or Microsoft Intune. What is Azure Information Protection? – AIP
What are region pairs?
A region that is linked with another region in the same geography) – Azure has the concept of region pairs, these are two or more regions that are at least 300 miles apart within a single Geography. This enables the ability to replicate certain resources such as virtual machine storage across the geography providing protection against such events as natural disasters or civil unrest. Ensure business continuity & disaster recovery using Azure Paired Regions
Which Azure tool allows you to view which user turned off a specific virtual machine during the last 14 days?
The correct answer is the Azure Activity Log – it is a logging service that provides insight into subscription-level events that have occurred in Azure. This includes a range of data, from Azure Resource Manager operational data to updates on Service Health events. Events such as starting and stopping of virtual machines can be found here.
Overview of Azure platform logs – Azure Monitor
What does Azure Information Protection do?
Provides the ability to securely share sensitive data – Azure Information Protection helps control and secure information (including emails and documents) that is shared outside of your organization. Azure information protection
Which of the following can be used to manage governance across multiple Azure subscriptions?
A. Azure initiatives
B. Management groups
C. Resource groups
Which of the following is a logical unit of Azure services that links to an Azure account?
A. Azure subscription
B. Management group
C. Resource group
D. Public cloud
Which of the following features does not apply to resource groups?
A. Resources can be in only one resource group.
B. Role-based access control can be applied to the resource group.
C. Resource groups can be nested.
Which of the following statements is a valid statement about an Azure subscription?
A. Using Azure doesn’t require a subscription.
B. An Azure subscription is a logical unit of Azure services.
You need to process messages from a queue, parse them by using some existing imperative logic written in Java, and then send them to a third-party API. Which serverless option should you choose?
Azure Functions: Azure Functions is the correct choice because you can use existing Java code with minimal modification.
You want to orchestrate a workflow by using APIs from several well-known services. Which is the best option for this scenario?
Azure Logic Apps: Azure Logic Apps makes it easy to create a workflow across well-known services with less effort than writing code and manually orchestrating all the steps yourself.
Your team has limited experience with writing custom code, but it sees tremendous value in automating several important business processes. Which of the following options is your team’s best option?
Azure Logic Apps is best suited for users who are more comfortable in a visual environment that allows them to automate their business processes. Logic Apps is the best option in this scenario.
You need to predict future behavior based on previous actions. Which product option should you select as a candidate?
B. Azure Bot Service
C. Azure Cognitive Services
You need to create a human-computer interface that uses natural language to answer customer questions. Which product option should you select as a candidate?
B. Azure Cognitive Services
C. Azure Bot Service
You need to identify the content of product images to automatically create alt tags for images formatted properly. Which product option is the best candidate?
A. Azure Machine Learning
B. Azure Cognitive Services
C. Azure Bot Service
Your development team is interested in writing Graph-based applications that take advantage of the Gremlin API. Which option would be ideal for that scenario?
B. Azure SQL Database
C. Azure Databricks
D. Azure Database for PostgreSQL
CompanyA uses the LAMP stack for several of its websites. Which option would be ideal for migration?
C. Azure Database for PostgreSQL
CompanyA has millions of log entries that it wants to analyze. Which option would be ideal for analysis?
B. Azure SQL Database
C. Azure Database for PostgreSQL
D. Azure Synapse Analytics
Which of the following options can you use to link virtual networks?
B. Multi-chassis link aggregation
C. Dynamic Host Configuration Protocol
D. Virtual network peering
Which of the following options isn’t a benefit of ExpressRoute?
B. Consistent network throughput
C. Encrypted network communication
D. Access to Microsoft cloud services
Testimonial: Passed my AZ-900 on the second attempt!
Wow, what a difference a couple of days and a different set of questions makes. I took the exam Monday and fell just short of passing (659), and I retook it today and scored 850! The questions on the first attempt were definitely harder, and I could tell from the first few questions I was going to have a rough time.
Today was totally different and I felt like I was getting all the “gimme” questions first and was able to coast through most questions confidently. I flagged exactly half the questions for review and at the end I had 20 minutes leftover after I was done reviewing. Total day and night difference between the two attempts.
For preparation I used:
– Microsoft Learn
– A Cloud Guru AZ-900 course + practice exam
– Tutorials Dojo practice exam
– and of course, John Savill’s YT channel
I bought the TD practice exams because of all the suggestions here, and I can attest they were well worth the price. This morning before the exam I went through all the TD section-based exams and took each one until I scored 90% on every section. I don’t always condone preparing for the exam on the day of but it was certainly a nice confidence booster to help me get mentally prepared.
Testimonial: Passed my AZ-900 on the first attempt!
Pleased to have passed this first time with a score of 775!
For any looking to sit this, I’ve had around 3 years of experience proving 2nd line technical support for an Azure environment. I used the following to prep for this exam:
Scotty Duffy’s Udemy Course – this was a bit of a waste of time and money in my eyes, nowhere near detailed enough. There are some reviews from people saying they passed the exam using this course alone with no experience using Azure but I really do not believe that.
Tim Warner’s YouTube series – this was great bearing in mind it was free. Way more worth the time than Scott’s, I wish I’d have started here.
Tutorials Dojo Practise Exams – I’d only recommend using these exams to test your knowledge and build some confidence, the questions in the exam were more difficult but the format and nature of these give you a good idea of what to expect.
Hope this advice helps some of you – onto the AZ-104!
Testimonial: AZ900 – Passed – some notes
Azure Fundamentals AZ900 Exam Prep on Udemy – 50-% OFF
Just passed with a 970. I used a combination of:
1. ITProTV – good training overviews but useless practice tests. Utterly not even close to the exam.
2. Udemy and Whizlabs – VERY close to what is on the exam, highly recommend this.
3. TutorialsDojo – this was the closest to the actual test – if you can pass these tests you can pass the exam.
ANKI for terms and basic rules.
I studied way too much – make sure you know what each service does and how offerings differ
1. Availability Zones vs. Sets
2. Datacenters vs. Regions vs. Geographies
3. Where Compliance and Security information is done
4. Exactly what Azure Advisor can do, so you know what it can’t do.
5. The Difference between the DB offerings.
6. The difference between SaaS, IaaS and PaaS – really know this, multiple questions on it.
7. When you are charged for data transfer vs. when you are not.
Testimonial: Passed AZ104. Here is how i studied
Azure Fundamentals AZ900 Exam Prep on Udemy – 50-% OFF
So guys im not going to bore you with all the blah-blah-blah. Here is how you pass AZ104.
My background: Only az900 fundamentals ( no IT previous experience)
Learning Path
Step 1) DO all the MS Learn modules.
( if you get stuck on any chapter or portion use this playlist of videos from John Savill … he is amazing at explaining this stuff)
Step 2) Complete all the labs on github for az104
Step 3) Watch this cram video which will cement in the concepts
Study Material
Use tutorials dojo practice tests and do them until you reach 90+% Passing on average, Every question you get wrong make sure to read the explanation as to why you are wrong.
https://tutorialsdojo.com/courses/az-104-microsoft-azure-administrator-practice-exams/
Watch these YOutube follow alongs for 40 more practice questions with good explanations (parts 1-4)
Then you are ready to take the exam. Good luck everyone!
Azure Services Cheat Sheet
Use the following flowchart to select a candidate compute service.
Definitions:
- “Lift and shift” is a strategy for migrating a workload to the cloud without redesigning the application or making code changes. Also called rehosting. For more information, see Azure migration center.
- Cloud optimized is a strategy for migrating to the cloud by refactoring an application to take advantage of cloud-native features and capabilities.
- App Service. A managed service for hosting web apps, mobile app back ends, RESTful APIs, or automated business processes.
- Azure Kubernetes Service (AKS). A managed Kubernetes service for running containerized applications.
- Batch. A managed service for running large-scale parallel and high-performance computing (HPC) applications
- Container Instances. The fastest and simplest way to run a container in Azure, without having to provision any virtual machines and without having to adopt a higher-level service.
- Functions. A managed FaaS service.
- Service Fabric. A distributed systems platform that can run in many environments, including Azure or on premises.
- Virtual machines. Deploy and manage VMs inside an Azure virtual network.
- Infrastructure-as-a-Service (IaaS) lets you provision individual VMs along with the associated networking and storage components. Then you deploy whatever software and applications you want onto those VMs. This model is the closest to a traditional on-premises environment, except that Microsoft manages the infrastructure. You still manage the individual VMs.
- Platform-as-a-Service (PaaS) provides a managed hosting environment, where you can deploy your application without needing to manage VMs or networking resources. Azure App Service is a PaaS service.
- Functions-as-a-Service (FaaS) goes even further in removing the need to worry about the hosting environment. In a FaaS model, you simply deploy your code and the service automatically runs it. Azure Functions are a FaaS service.
There is a spectrum from IaaS to pure PaaS. For example, Azure VMs can autoscale by using virtual machine scale sets. This automatic scaling capability isn’t strictly PaaS, but it’s the type of management feature found in PaaS services.
Azure Data Store:
Use the following flowchart to select a candidate data store.
Which of the following choices isn’t a cloud computing category: NAAS, PAAS, SAAS, IAAS, DAAS?
– Networking-as-a-Service (NaaS)
– NaaS isn’t a cloud computing category.
Download Azure Fundamentals AZ900 Certification Exam Prep
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Updates to AZ-900 Coming May 5th 2022
[AZ-900](Exam AZ-900: Microsoft Azure Fundamentals – Learn)
Under skills measured section:
The English language version of this exam will be updated on May 5, 2022. Please download the exam skills outline below to see what’s changing.
To be honest seems like decent set of changes. In addition to reshuffling existing titles and task #s of several items, there is a redistribution of weight across objectives and removing of following sections:
3.1 Describe core solutions available in Azure
5.3 Describe privacy and compliance resources
6.2 Describe Azure Service Level Agreements (SLAs)
Top-paying Cloud certifications:
- Google Certified Professional Cloud Architect — $175,761/year
- AWS Certified Solutions Architect – Associate — $149,446/year
- Azure/Microsoft Cloud Solution Architect – $141,748/yr
- Google Cloud Associate Engineer – $145,769/yr
- AWS Certified Cloud Practitioner — $131,465/year
- Microsoft Certified: Azure Fundamentals — $126,653/year
- Microsoft Certified: Azure Administrator Associate — $125,993/year
Sources:
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I passed Azure Fundamentals AZ900 Certification Testimonials
AZ-900 Passed today. Score of 835.
Path I took:
Microsoft Learn course
John Savill Study Cram
SkillCertPro Practice Tests (were decent for what they were).
I found this somewhat simple and completed within 15 minutes. I do have some experience with Azure but don’t work in it every day. As always, John Savill’s knowledge was a great watch and the MS Learn course was quite good content wise. Exam was not hard but there were some gotcha questions around resource locks, SLAs, ExpressRoute and storage accounts.
Happy to answer any questions.
Passed AZ-900, SC-900, AI-900, and DP-900 within 6 weeks!
What an exciting journey. I think AZ-900 is the hardest probably because it is my first Microsoft certification. Afterwards, the others are fair enough. AI-900 is the easiest.
I generally used Microsoft Virtual Training Day, Cloud Ready Skills, Measureup and John Savill’s videos. Having built a fundamental knowledge of the Cloud, I am planning to do AWS CCP next. Wish me luck!
Passed Azure Fundamentals
Hi all,
I passed my Azure fundamentals exam a couple of days ago, with a score of 900/1000. Been meaning to take the exam for a few months but I kept putting it off for various reasons. The exam was a lot easier than I thought and easier than the official Microsoft practice exams.
Study materials;
A Cloud Guru AZ-900 fundamentals course with practice exams
Official Microsoft practice exams
MS learning path
John Savill’s AZ-900 study cram, started this a day or two before my exam. (Highly Recommended) https://www.youtube.com/watch?v=tQp1YkB2Tgs&t=4s
Will be taking my AZ-104 exam next
Passed AZ-900 🙂
Found this sub on reddit, thought I’d share.
Literally just passed the exam an hour or so ago 🙂 Not full points but whatever, ~900 is enough.
Have 0 experience with any of it, actually just did it for fun because of the discounts on virtual training days and I thought why not, certification looks good.
Spent half of the virtual day course not listening but you have to log in for the exam discount. Around 4h or so in total watching John Savills content and some of the MS resource sites.
Exam questions were often not directly related to all the stuff talked in the courses so some kinda surprised me. Also I only spent like 25min in total going through them twice, much faster than I thought it was gonna be.
Savills content is gold though, a neat summary of the MS product system. MS resource sites are beneficial to go through as well.
Really doubt any of my future employers will actually take notice or care that much given I won’t go into the sysadmin industry but certification is certification right? And it was free 🙂
Now I just need to figure out how to actually get a pdf of the certificate/badge lol
I’m interested if Microsoft actually gives away discounts for the actual admin courses or if they just restrict it to fundamentals to promote their products? Did anyone do the admin exams with discounts?
Azure Certification Path 2022-2023
Popular: Az900 –> AZ104 –> AZ305 or AZ400 or AZ500 or AI900
Here’s a Microsoft certification for you, whether or not you’re thinking about what Microsoft Azure is and where to start, or where you should go next in your cloud job. There are around 16 Azure cloud assertions open. Here is an overview of current Microsoft Azure assertions.
Nuts and bolts Level Certifications
Microsoft Certified: Azure Fundamentals
Microsoft Certified: Azure Data Fundamentals
Microsoft Certified: Azure AI Fundamentals
Accomplished Level Certifications
Microsoft Certified: Azure Administrator Associate
Microsoft Certified: Azure Developer Associate
Microsoft Certified: Azure Database Administrator Associate
Microsoft Certified: Azure Security Engineer Associate
Microsoft Certified: Azure Data Scientist Associate
Microsoft Certified: Azure Data Engineer Associate
Microsoft Certified: Azure AI Engineer Associate
Microsoft Certified: Azure Stack Hub Operator Associate
Expert Level Certifications
Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: DevOps Engineer Expert
Specialty Certifications
Microsoft Certified: Azure IoT Developer Specialty
Microsoft Certified: Azure for SAP Workloads Specialty
Microsoft Certified: Azure Virtual Desktop Specialty
There are also two other Microsoft assertions that are Azure-related. While we won’t cautiously depict them in this post, dependent upon your master way and limit, they might justify researching.
For security engineers responsible for peril the leaders, checking, and response, the Microsoft Certified: Security Operations Analyst Associate confirmation is required. It requires completing the SC-200 appraisal.
Test SC-300 is required for the Microsoft Certified: Identity and Access Administrator Associate, which is for heads who use Azure AD to manage IAM.
What might be prudent for you to do first?
In particular, you should make certain with regards to what a Microsoft Azure confirmation is and isn’t. Is simply clear? Phenomenal! Then, at that point, we ought to explore three circumstances that can assist you with picking where to start.
“I’m new to development. I’m essentially uninformed in regards to this ‘cloud’ that is quite serious.”
You can sort out some way to cloud in the event that you’re the kind of person who counts “Microsoft Word” as a specific capacity on your resume. On the off chance that you’re just beginning started, a section level certification will outfit you with the language and understanding you’ll need to all the more promptly analyze your ensuing stages. The AZ-900 Azure Fundamentals accreditation is your first stop on the Azure road.
The cloud might be alarming, yet the capacities you’ll get as you seek after this accreditation will help you with understanding it in a way that even an all out beginner can understand — especially if you have the right getting ready. (Look at me as a hotshot, yet I think our Azure Fundamentals getting ready is astonishing.)
“I have a fundamental cognizance of the cloud.”
Perhaps you’ve worked in the IT field beforehand. Perhaps you’ve attempted various things with AWS, GCP, or Azure. Do you accept you’re ready to make a dive? Press the brakes. Start with the Azure Fundamentals affirmation, if you haven’t at this point. In the best circumstance, you’ll see it to be a breeze. Regardless, paying little heed to how far you advance in Azure, this accreditation will give the establishment to future accomplishment. The accompanying crosspiece on the ladder (Azure Administrator Associate) can be an inconvenient one to ascend. Before dealing with it, you’ll need all of the Fundamentals data notwithstanding a huge load of Azure included knowledge.
Here are different Azure Certifications (Microsoft Certified)
AZ-900
For beginners, this is the best Microsoft Azure accreditation. It’s an unprecedented spot to start on the off chance that you’re new to appropriated processing or Microsoft Azure. This one would be Azure 101 if test names appeared to be okay and acceptable.
Test AZ-900: Microsoft Azure Fundamentals ($99 USD) is required.
There are no fundamentals.
For whom this is for?
In a general sense, everyone. Non-particular individuals with a cloud-related calling, similarly as new or cheerful designers or IT experts, could benefit from acknowledging what the cloud is and isn’t. Any person who needs to comprehend the Microsoft Azure environment should have the data expected to complete this evaluation.
Fundamentals DP-900 Microsoft Certified
For inescapable data focused cloud subject matter experts, this is a significant beginning advance assertion.
Test DP-900: Microsoft Azure Data Fundamentals ($99 USD) is required.
There are no fundamentals.
For whom this is for?
This helper is for informational collection draftsmen and data base administrators who are essentially starting with cloud data.
AI Fundamentals AI-900 Microsoft Certified
This Microsoft Azure affirmation exhibits that you appreciate the fundamentals of man-made mental ability (AI) and AI (ML) in Azure for amateurs with both particular and non-specific establishments.
Test AI-900: Microsoft Azure AI Fundamentals ($99 USD) is required.
There are no basics.
For whom this is for?
Reproduced insight Engineers, Data Scientists, Developers, and Solutions Architects with a working data on AL and ML, similarly as Azure organizations related with them. This affirmation, like the others in the Azure Fundamentals series, is normal for those with both specific and non-particular establishments. That proposes data science and PC programming experience aren’t required, but Microsoft recommends making them program data or experience.
Administrator Associate AZ-104 is a Microsoft attestation.
For the IT swarm, this is the rudiments of Azure organization. This takes you from a fundamental perception of the cloud to having the alternative to perform cloud tasks (and get repaid to do them).
Test AZ-104: Microsoft Azure Administrator ($165 USD) is required.
For whom this is for?
This affirmation is for IT specialists and administrators who screen cloud assets and resources and direct cloud system. This test is (mistakenly) seen as an entry level test, yet you’ll need to know an immense heap of anticipated that information should pass and do whatever it takes not to have your AZ denied.
Unlocking Azure Fundamentals AZ900 exam: Testimonials, Tips, and Key Resources to ace the exam and pass the certification
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What are the corresponding Azure and Google Cloud services for each of the AWS services?
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What are the corresponding Azure and Google Cloud services for each of the AWS services?
What are unique distinctions and similarities between AWS, Azure and Google Cloud services? For each AWS service, what is the equivalent Azure and Google Cloud service? For each Azure service, what is the corresponding Google Service? AWS Services vs Azure vs Google Services? Side by side comparison between AWS, Google Cloud and Azure Service?
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1
Category: Marketplace
Easy-to-deploy and automatically configured third-party applications, including single virtual machine or multiple virtual machine solutions.
References:
[AWS]:AWS Marketplace
[Azure]:Azure Marketplace
[Google]:Google Cloud Marketplace
Tags: #AWSMarketplace, #AzureMarketPlace, #GoogleMarketplace
Differences: They are both digital catalog with thousands of software listings from independent software vendors that make it easy to find, test, buy, and deploy software that runs on their respective cloud platform.
2
Category: AI and machine learning
A cloud service to train, deploy, automate, and manage machine learning models.
References:
[AWS]:AWS SageMaker(build, train and deploy machine learning models), AWS DeepComposer (ML enabled musical keyboard), Amazon Fraud Detector (Detect more online fraud faster), Amazon CodeGuru (Automate code reviews and identify expensive lines of code), Contact Lens for Amazon Connect (Contact center analytics powered by ML), Amazon Kendra (Reinvent enterprise search with ML), Amazon Augmented AI (Easily implement human review of ML predictions), Amazon SageMaker Studio (The first visual IDE for machine learning), Amazon SageMaker Notebooks (Quickly start and share ML notebooks), Amazon SageMaker Experiments (Organize, track, and evaluate ML experiments), Amazon SageMaker Debugger (Analyze and debug ML models in real time), Amazon SageMaker Autopilot (Automatically create high quality ML models), Amazon SageMaker Model Monitor (Continuously monitor ML models)
[Azure]:Azure Machine Learning
[Google]:Google Cloud TensorFlow
Tags: #AI, #CloudAI, #SageMaker, #AzureMachineLearning, #TensorFlow
Differences: According to the StackShare community, Azure Machine Learning has a broader approval, being mentioned in 12 company stacks & 8 developers stacks; compared to Amazon Machine Learning, which is listed in 8 company stacks and 9 developer stacks.
3
Category: AI and machine learning
Build and connect intelligent bots that interact with your users using text/SMS, Skype, Teams, Slack, Office 365 mail, Twitter, and other popular services.
References:
[AWS]:Alexa Skills Kit (enables a developer to build skills, also called conversational applications, on the Amazon Alexa artificial intelligence assistant.)
[Azure]:Microsoft Bot Framework (building enterprise-grade conversational AI experiences.)
[Google]:Google Assistant Actions ( developer platform that lets you create software to extend the functionality of the Google Assistant, Google’s virtual personal assistant,)
Tags: #AlexaSkillsKit, #MicrosoftBotFramework, #GoogleAssistant
Differences: One major advantage Google gets over Alexa is that Google Assistant is available to almost all Android devices.
4
Category: AI and machine learning
Description:API capable of converting speech to text, understanding intent, and converting text back to speech for natural responsiveness.
References:
[AWS]:Amazon Lex (building conversational interfaces into any application using voice and text.)
[Azure]:Azure Speech Services(unification of speech-to-text, text-to-speech, and speech translation into a single Azure subscription)
[Google]:Google APi.ai, AI Hub (Hosted repo of plug-and-play AI component), AI building blocks(for developers to add sight, language, conversation, and structured data to their applications.), AI Platform(code-based data science development environment, lets ML developers and data scientists quickly take projects from ideation to deployment.), DialogFlow (Google-owned developer of human–computer interaction technologies based on natural language conversations. ), TensorFlow(Open Source Machine Learning platform)
Tags: #AmazonLex, #CogintiveServices, #AzureSpeech, #Api.ai, #DialogFlow, #Tensorflow
Differences: api.ai provides us with such a platform which is easy to learn and comprehensive to develop conversation actions. It is a good example of the simplistic approach to solving complex man to machine communication problem using natural language processing in proximity to machine learning. Api.ai supports context based conversations now, which reduces the overhead of handling user context in session parameters. On the other hand in Lex this has to be handled in session. Also, api.ai can be used for both voice and text based conversations (assistant actions can be easily created using api.ai).
5
Category: AI and machine learning
Description:Computer Vision: Extract information from images to categorize and process visual data.
References:
[AWS]:Amazon Rekognition (based on the same proven, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images and videos daily. It requires no machine learning expertise to use.)
[Azure]:Cognitive Services(bring AI within reach of every developer—without requiring machine-learning expertise.)
[Google]:Google Vision (offers powerful pre-trained machine learning models through REST and RPC APIs.)
Tags: AmazonRekognition, #GoogleVision, #AzureSpeech
Differences: For now, only Google Cloud Vision supports batch processing. Videos are not natively supported by Google Cloud Vision or Amazon Rekognition. The Object Detection functionality of Google Cloud Vision and Amazon Rekognition is almost identical, both syntactically and semantically.
Differences:
Google Cloud Vision and Amazon Rekognition offer a broad spectrum of solutions, some of which are comparable in terms of functional details, quality, performance, and costs.
6
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Category: Big data and analytics: Data warehouse
Description:Cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data.
References:
[AWS]:AWS Redshift (scalable data warehouse that makes it simple and cost-effective to analyze all your data across your data warehouse and data lake.), Amazon Redshift Data Lake Export (Save query results in an open format),Amazon Redshift Federated Query(Run queries n line transactional data), Amazon Redshift RA3(Optimize costs with up to 3x better performance), AQUA: AQUA: Advanced Query Accelerator for Amazon Redshift (Power analytics with a new hardware-accelerated cache), UltraWarm for Amazon Elasticsearch Service(Store logs at ~1/10th the cost of existing storage tiers )
[Azure]:Azure Synapse formerly SQL Data Warehouse (limitless analytics service that brings together enterprise data warehousing and Big Data analytics.)
[Google]:BigQuery (RESTful web service that enables interactive analysis of massive datasets working in conjunction with Google Storage. )
Tags:#AWSRedshift, #GoogleBigQuery, #AzureSynapseAnalytics
Differences: Loading data, Managing resources (and hence pricing), Ecosystem. Ecosystem is where Redshift is clearly ahead of BigQuery. While BigQuery is an affordable, performant alternative to Redshift, they are considered to be more up and coming
7
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Category: Big data and analytics: Data warehouse
Description: Apache Spark-based analytics platform. Managed Hadoop service. Data orchestration, ETL, Analytics and visualization
References:
[AWS]:EMR, Data Pipeline, Kinesis Stream, Kinesis Firehose, Glue, QuickSight, Athena, CloudSearch
[Azure]:Azure Databricks, Data Catalog Cortana Intelligence, HDInsight, Power BI, Azure Datafactory, Azure Search, Azure Data Lake Anlytics, Stream Analytics, Azure Machine Learning
[Google]:Cloud DataProc, Machine Learning, Cloud Datalab
Tags:#EMR, #DataPipeline, #Kinesis, #Cortana, AzureDatafactory, #AzureDataAnlytics, #CloudDataProc, #MachineLearning, #CloudDatalab
Differences: All three providers offer similar building blocks; data processing, data orchestration, streaming analytics, machine learning and visualisations. AWS certainly has all the bases covered with a solid set of products that will meet most needs. Azure offers a comprehensive and impressive suite of managed analytical products. They support open source big data solutions alongside new serverless analytical products such as Data Lake. Google provide their own twist to cloud analytics with their range of services. With Dataproc and Dataflow, Google have a strong core to their proposition. Tensorflow has been getting a lot of attention recently and there will be many who will be keen to see Machine Learning come out of preview.
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Category: Virtual servers
Description:Virtual servers allow users to deploy, manage, and maintain OS and server software. Instance types provide combinations of CPU/RAM. Users pay for what they use with the flexibility to change sizes.
Batch: Run large-scale parallel and high-performance computing applications efficiently in the cloud.
References:
[AWS]:Elastic Compute Cloud (EC2), Amazon Bracket(Explore and experiment with quantum computing), Amazon Ec2 M6g Instances (Achieve up to 40% better price performance), Amazon Ec2 Inf1 instancs (Deliver cost-effective ML inference), AWS Graviton2 Processors (Optimize price performance for cloud workloads), AWS Batch, AWS AutoScaling, VMware Cloud on AWS, AWS Local Zones (Run low latency applications at the edge), AWS Wavelength (Deliver ultra-low latency applications for 5G devices), AWS Nitro Enclaves (Further protect highly sensitive data), AWS Outposts (Run AWS infrastructure and services on-premises)
[Azure]:Azure Virtual Machines, Azure Batch, Virtual Machine Scale Sets, Azure VMware by CloudSimple
[Google]:Compute Engine, Preemptible Virtual Machines, Managed instance groups (MIGs), Google Cloud VMware Solution by CloudSimple
Tags: #AWSEC2, #AWSBatch, #AWSAutoscaling, #AzureVirtualMachine, #AzureBatch, #VirtualMachineScaleSets, #AzureVMWare, #ComputeEngine, #MIGS, #VMWare
Differences: There is very little to choose between the 3 providers when it comes to virtual servers. Amazon has some impressive high end kit, on the face of it this sound like it would make AWS a clear winner. However, if your only option is to choose the biggest box available you will need to make sure you have very deep pockets, and perhaps your money may be better spent re-architecting your apps for horizontal scale.Azure’s remains very strong in the PaaS space and now has a IaaS that can genuinely compete with AWS
Google offers a simple and very capable set of services that are easy to understand. However, with availability in only 5 regions it does not have the coverage of the other players.
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Category: Containers and container orchestrators
Description: A container is a standard unit of software that packages up code and all its dependencies so the application runs quickly and reliably from one computing environment to another.
Container orchestration is all about managing the lifecycles of containers, especially in large, dynamic environments.
References:
[AWS]:EC2 Container Service (ECS), Fargate(Run containers without anaging servers or clusters), EC2 Container Registry(managed AWS Docker registry service that is secure, scalable, and reliable.), Elastic Container Service for Kubernetes (EKS: runs the Kubernetes management infrastructure across multiple AWS Availability Zones), App Mesh( application-level networking to make it easy for your services to communicate with each other across multiple types of compute infrastructure)
[Azure]:Azure Container Instances, Azure Container Registry, Azure Kubernetes Service (AKS), Service Fabric Mesh
[Google]:Google Container Engine, Container Registry, Kubernetes Engine
Tags:#ECS, #Fargate, #EKS, #AppMesh, #ContainerEngine, #ContainerRegistry, #AKS
Differences: Google Container Engine, AWS Container Services, and Azure Container Instances can be used to run docker containers. Google offers a simple and very capable set of services that are easy to understand. However, with availability in only 5 regions it does not have the coverage of the other players.
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Category: Serverless
Description: Integrate systems and run backend processes in response to events or schedules without provisioning or managing servers.
References:
[AWS]:AWS Lambda
[Azure]:Azure Functions
[Google]:Google Cloud Functions
Tags:#AWSLAmbda, #AzureFunctions, #GoogleCloudFunctions
Differences: Both AWS Lambda and Microsoft Azure Functions and Google Cloud Functions offer dynamic, configurable triggers that you can use to invoke your functions on their platforms. AWS Lambda, Azure and Google Cloud Functions support Node.js, Python, and C#. The beauty of serverless development is that, with minor changes, the code you write for one service should be portable to another with little effort – simply modify some interfaces, handle any input/output transforms, and an AWS Lambda Node.JS function is indistinguishable from a Microsoft Azure Node.js Function. AWS Lambda provides further support for Python and Java, while Azure Functions provides support for F# and PHP. AWS Lambda is built from the AMI, which runs on Linux, while Microsoft Azure Functions run in a Windows environment. AWS Lambda uses the AWS Machine architecture to reduce the scope of containerization, letting you spin up and tear down individual pieces of functionality in your application at will.
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Category: Relational databases
Description: Managed relational database service where resiliency, scale, and maintenance are primarily handled by the platform.
References:
[AWS]:AWS RDS(MySQL and PostgreSQL-compatible relational database built for the cloud,), Aurora(MySQL and PostgreSQL-compatible relational database built for the cloud)
[Azure]:SQL Database, Azure Database for MySQL, Azure Database for PostgreSQL
[Google]:Cloud SQL
Tags: #AWSRDS, #AWSAUrora, #AzureSQlDatabase, #AzureDatabaseforMySQL, #GoogleCloudSQL
Differences: All three providers boast impressive relational database offering. RDS supports an impressive range of managed relational stores while Azure SQL Database is probably the most advanced managed relational database available today. Azure also has the best out-of-the-box support for cross-region geo-replication across its database offerings.
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Category: NoSQL, Document Databases
Description:A globally distributed, multi-model database that natively supports multiple data models: key-value, documents, graphs, and columnar.
References:
[AWS]:DynamoDB (key-value and document database that delivers single-digit millisecond performance at any scale.), SimpleDB ( a simple web services interface to create and store multiple data sets, query your data easily, and return the results.), Managed Cassandra Services(MCS)
[Azure]:Table Storage, DocumentDB, Azure Cosmos DB
[Google]:Cloud Datastore (handles sharding and replication in order to provide you with a highly available and consistent database. )
Tags:#AWSDynamoDB, #SimpleDB, #TableSTorage, #DocumentDB, AzureCosmosDB, #GoogleCloudDataStore
Differences:DynamoDB and Cloud Datastore are based on the document store database model and are therefore similar in nature to open-source solutions MongoDB and CouchDB. In other words, each database is fundamentally a key-value store. With more workloads moving to the cloud the need for NoSQL databases will become ever more important, and again all providers have a good range of options to satisfy most performance/cost requirements. Of all the NoSQL products on offer it’s hard not to be impressed by DocumentDB; Azure also has the best out-of-the-box support for cross-region geo-replication across its database offerings.
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Category:Caching
Description:An in-memory–based, distributed caching service that provides a high-performance store typically used to offload non transactional work from a database.
References:
[AWS]:AWS ElastiCache (works as an in-memory data store and cache to support the most demanding applications requiring sub-millisecond response times.)
[Azure]:Azure Cache for Redis (based on the popular software Redis. It is typically used as a cache to improve the performance and scalability of systems that rely heavily on backend data-stores.)
[Google]:Memcache (In-memory key-value store, originally intended for caching)
Tags:#Redis, #Memcached
<Differences: They all support horizontal scaling via sharding.They all improve the performance of web applications by allowing you to retrive information from fast, in-memory caches, instead of relying on slower disk-based databases.”, “Differences”: “ElastiCache supports Memcached and Redis. Memcached Cloud provides various data persistence options as well as remote backups for disaster recovery purposes. Redis offers persistence to disk, Memcache does not. This can be very helpful if you cache lots of data, since you remove the slowness around having a fully cold cache. Redis also offers several extra data structures that Memcache doesn’t— Lists, Sets, Sorted Sets, etc. Memcache only has Key/Value pairs. Memcache is multi-threaded. Redis is single-threaded and event driven. Redis is very fast, but it’ll never be multi-threaded. At hight scale, you can squeeze more connections and transactions out of Memcache. Memcache tends to be more memory efficient. This can make a big difference around the magnitude of 10s of millions or 100s of millions of keys. ElastiCache supports Memcached and Redis. Memcached Cloud provides various data persistence options as well as remote backups for disaster recovery purposes. Redis offers persistence to disk, Memcache does not. This can be very helpful if you cache lots of data, since you remove the slowness around having a fully cold cache. Redis also offers several extra data structures that Memcache doesn’t— Lists, Sets, Sorted Sets, etc. Memcache only has Key/Value pairs. Memcache is multi-threaded. Redis is single-threaded and event driven. Redis is very fast, but it’ll never be multi-threaded. At hight scale, you can squeeze more connections and transactions out of Memcache. Memcache tends to be more memory efficient. This can make a big difference around the magnitude of 10s of millions or 100s of millions of keys.
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Category: Security, identity, and access
Description:Authentication and authorization: Allows users to securely control access to services and resources while offering data security and protection. Create and manage users and groups, and use permissions to allow and deny access to resources.
References:
[AWS]:Identity and Access Management (IAM), AWS Organizations, Multi-Factor Authentication, AWS Directory Service, Cognito(provides solutions to control access to backend resources from your app), Amazon Detective (Investigate potential security issues), AWS IAM Access Analyzer(Easily analyze resource accessibility)
[Azure]:Azure Active Directory, Azure Subscription Management + Azure RBAC, Multi-Factor Authentication, Azure Active Directory Domain Services, Azure Active Directory B2C, Azure Policy, Management Groups
[Google]:Cloud Identity, Identity Platform, Cloud IAM, Policy Intelligence, Cloud Resource Manager, Cloud Identity-Aware Proxy, Context-aware accessManaged Service for Microsoft Active Directory, Security key enforcement, Titan Security Key
Tags: #IAM, #AWSIAM, #AzureIAM, #GoogleIAM, #Multi-factorAuthentication
Differences: One unique thing about AWS IAM is that accounts created in the organization (not through federation) can only be used within that organization. This contrasts with Google and Microsoft. On the good side, every organization is self-contained. On the bad side, users can end up with multiple sets of credentials they need to manage to access different organizations. The second unique element is that every user can have a non-interactive account by creating and using access keys, an interactive account by enabling console access, or both. (Side note: To use the CLI, you need to have access keys generated.)
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Category: Object Storage and Content delivery
Description:Object storage service, for use cases including cloud applications, content distribution, backup, archiving, disaster recovery, and big data analytics.
References:
[AWS]:Simple Storage Services (S3), Import/Export(used to move large amounts of data into and out of the Amazon Web Services public cloud using portable storage devices for transport.), Snowball( petabyte-scale data transport solution that uses devices designed to be secure to transfer large amounts of data into and out of the AWS Cloud), CloudFront( content delivery network (CDN) is massively scaled and globally distributed), Elastic Block Store (EBS: high performance block storage service), Elastic File System(shared, elastic file storage system that grows and shrinks as you add and remove files.), S3 Infrequent Access (IA: is for data that is accessed less frequently, but requires rapid access when needed. ), S3 Glacier( long-term storage of data that is infrequently accessed and for which retrieval latency times of 3 to 5 hours are acceptable.), AWS Backup( makes it easy to centralize and automate the back up of data across AWS services in the cloud as well as on-premises using the AWS Storage Gateway.), Storage Gateway(hybrid cloud storage service that gives you on-premises access to virtually unlimited cloud storage), AWS Import/Export Disk(accelerates moving large amounts of data into and out of AWS using portable storage devices for transport)
[Azure]:Azure Blob storage, File Storage, Data Lake Store, Azure Backup, Azure managed disks, Azure Files, Azure Storage cool tier, Azure Storage archive access tier, Azure Backup, StorSimple, Import/Export
[Google]:Cloud Storage, GlusterFS, CloudCDN
Tags:#S3, #AzureBlobStorage, #CloudStorage
Differences:Source: All providers have good object storage options and so storage alone is unlikely to be a deciding factor when choosing a cloud provider. The exception perhaps is for hybrid scenarios, in this case Azure and AWS clearly win. AWS and Google’s support for automatic versioning is a great feature that is currently missing from Azure; however Microsoft’s fully managed Data Lake Store offers an additional option that will appeal to organisations who are looking to run large scale analytical workloads. If you are prepared to wait 4 hours for your data and you have considerable amounts of the stuff then AWS Glacier storage might be a good option. If you use the common programming patterns for atomic updates and consistency, such as etags and the if-match family of headers, then you should be aware that AWS does not support them, though Google and Azure do. Azure also supports blob leasing, which can be used to provide a distributed lock.
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Category:Internet of things (IoT)
Description:A cloud gateway for managing bidirectional communication with billions of IoT devices, securely and at scale. Deploy cloud intelligence directly on IoT devices to run in on-premises scenarios.
References:
[AWS]:AWS IoT (Internet of Things), AWS Greengrass, Kinesis Firehose, Kinesis Streams, AWS IoT Things Graph
[Azure]:Azure IoT Hub, Azure IoT Edge, Event Hubs, Azure Digital Twins, Azure Sphere
[Google]:Google Cloud IoT Core, Firebase, Brillo, Weave, CLoud Pub/SUb, Stream Analysis, Big Query, Big Query Streaming API
Tags:#IoT, #InternetOfThings, #Firebase
Differences:AWS and Azure have a more coherent message with their products clearly integrated into their respective platforms, whereas Google Firebase feels like a distinctly separate product.
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Category:Web Applications
Description:Managed hosting platform providing easy to use services for deploying and scaling web applications and services. API Gateway is a a turnkey solution for publishing APIs to external and internal consumers. Cloudfront is a global content delivery network that delivers audio, video, applications, images, and other files.
References:
[AWS]:Elastic Beanstalk (for deploying and scaling web applications and services developed with Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker on familiar servers such as Apache, Nginx, Passenger, and IIS), AWS Wavelength (for delivering ultra-low latency applications for 5G), API Gateway (makes it easy for developers to create, publish, maintain, monitor, and secure APIs at any scale.), CloudFront (web service that speeds up distribution of your static and dynamic web content, such as .html, .css, .js, and image files, to your users. CloudFront delivers your content through a worldwide network of data centers called edge locations.),Global Accelerator ( improves the availability and performance of your applications with local or global users. It provides static IP addresses that act as a fixed entry point to your application endpoints in a single or multiple AWS Regions, such as your Application Load Balancers, Network Load Balancers or Amazon EC2 instances.)AWS AppSync (simplifies application development by letting you create a flexible API to securely access, manipulate, and combine data from one or more data sources: GraphQL service with real-time data synchronization and offline programming features. )
[Azure]:App Service, API Management, Azure Content Delivery Network, Azure Content Delivery Network
[Google]:App Engine, Cloud API, Cloud Enpoint, APIGee
Tags: #AWSElasticBeanstalk, #AzureAppService, #GoogleAppEngine, #CloudEnpoint, #CloudFront, #APIgee
Differences: With AWS Elastic Beanstalk, developers retain full control over the AWS resources powering their application. If developers decide they want to manage some (or all) of the elements of their infrastructure, they can do so seamlessly by using Elastic Beanstalk’s management capabilities. AWS Elastic Beanstalk integrates with more apps than Google App Engines (Datadog, Jenkins, Docker, Slack, Github, Eclipse, etc..). Google App Engine has more features than AWS Elastic BEanstalk (App Identity, Java runtime, Datastore, Blobstore, Images, Go Runtime, etc..). Developers describe Amazon API Gateway as “Create, publish, maintain, monitor, and secure APIs at any scale”. Amazon API Gateway handles all the tasks involved in accepting and processing up to hundreds of thousands of concurrent API calls, including traffic management, authorization and access control, monitoring, and API version management. On the other hand, Google Cloud Endpoints is detailed as “Develop, deploy and manage APIs on any Google Cloud backend”. An NGINX-based proxy and distributed architecture give unparalleled performance and scalability. Using an Open API Specification or one of our API frameworks, Cloud Endpoints gives you the tools you need for every phase of API development and provides insight with Google Cloud Monitoring, Cloud Trace, Google Cloud Logging and Cloud Trace.
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Category:Encryption
Description:Helps you protect and safeguard your data and meet your organizational security and compliance commitments.
References:
[AWS]:Key Management Service AWS KMS, CloudHSM
[Azure]:Key Vault
[Google]:Encryption By Default at Rest, Cloud KMS
Tags:#AWSKMS, #Encryption, #CloudHSM, #EncryptionAtRest, #CloudKMS
Differences: AWS KMS, is an ideal solution for organizations that want to manage encryption keys in conjunction with other AWS services. In contrast to AWS CloudHSM, AWS KMS provides a complete set of tools to manage encryption keys, develop applications and integrate with other AWS services. Google and Azure offer 4096 RSA. AWS and Google offer 256 bit AES. With AWs, you can bring your own key
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Category:Internet of things (IoT)
Description:A cloud gateway for managing bidirectional communication with billions of IoT devices, securely and at scale. Deploy cloud intelligence directly on IoT devices to run in on-premises scenarios.
References:
[AWS]:AWS IoT, AWS Greengrass, Kinesis Firehose ( captures and loads streaming data in storage and business intelligence (BI) tools to enable near real-time analytics in the AWS cloud), Kinesis Streams (for rapid and continuous data intake and aggregation.), AWS IoT Things Graph (makes it easy to visually connect different devices and web services to build IoT applications.)
[Azure]:Azure IoT Hub, Azure IoT Edge, Event Hubs, Azure Digital Twins, Azure Sphere
[Google]:Google Cloud IoT Core, Firebase, Brillo, Weave, CLoud Pub/SUb, Stream Analysis, Big Query, Big Query Streaming API
Tags:#IoT, #InternetOfThings, #Firebase
Differences:AWS and Azure have a more coherent message with their products clearly integrated into their respective platforms, whereas Google Firebase feels like a distinctly separate product.
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Category:Object Storage and Content delivery
Description: Object storage service, for use cases including cloud applications, content distribution, backup, archiving, disaster recovery, and big data analytics.
References:
[AWS]:Simple Storage Services (S3), Import/Export Snowball, CloudFront, Elastic Block Store (EBS), Elastic File System, S3 Infrequent Access (IA), S3 Glacier, AWS Backup, Storage Gateway, AWS Import/Export Disk, Amazon S3 Access Points(Easily manage access for shared data)
[Azure]:Azure Blob storage, File Storage, Data Lake Store, Azure Backup, Azure managed disks, Azure Files, Azure Storage cool tier, Azure Storage archive access tier, Azure Backup, StorSimple, Import/Export
[Google]:Cloud Storage, GlusterFS, CloudCDN
Tags:#S3, #AzureBlobStorage, #CloudStorage
Differences:All providers have good object storage options and so storage alone is unlikely to be a deciding factor when choosing a cloud provider. The exception perhaps is for hybrid scenarios, in this case Azure and AWS clearly win. AWS and Google’s support for automatic versioning is a great feature that is currently missing from Azure; however Microsoft’s fully managed Data Lake Store offers an additional option that will appeal to organisations who are looking to run large scale analytical workloads. If you are prepared to wait 4 hours for your data and you have considerable amounts of the stuff then AWS Glacier storage might be a good option. If you use the common programming patterns for atomic updates and consistency, such as etags and the if-match family of headers, then you should be aware that AWS does not support them, though Google and Azure do. Azure also supports blob leasing, which can be used to provide a distributed lock.
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Category: Backend process logic
Description: Cloud technology to build distributed applications using out-of-the-box connectors to reduce integration challenges. Connect apps, data and devices on-premises or in the cloud.
References:
[AWS]:AWS Step Functions ( lets you build visual workflows that enable fast translation of business requirements into technical requirements. You can build applications in a matter of minutes, and when needs change, you can swap or reorganize components without customizing any code.)
[Azure]:Logic Apps (cloud service that helps you schedule, automate, and orchestrate tasks, business processes, and workflows when you need to integrate apps, data, systems, and services across enterprises or organizations.)
[Google]:Dataflow ( fully managed service for executing Apache Beam pipelines within the Google Cloud Platform ecosystem.)
Tags:#AWSStepFunctions, #LogicApps, #Dataflow
Differences: AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly. AWS Step Functions belongs to \”Cloud Task Management\” category of the tech stack, while Google Cloud Dataflow can be primarily classified under \”Real-time Data Processing\”. According to the StackShare community, Google Cloud Dataflow has a broader approval, being mentioned in 32 company stacks & 8 developers stacks; compared to AWS Step Functions, which is listed in 19 company stacks and 7 developer stacks.
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Category: Enterprise application services
Description:Fully integrated Cloud service providing communications, email, document management in the cloud and available on a wide variety of devices.
References:
[AWS]:Amazon WorkMail, Amazon WorkDocs, Amazon Kendra (Sync and Index)
[Azure]:Office 365
[Google]:G Suite
Tags: #AmazonWorkDocs, #Office365, #GoogleGSuite
Differences: G suite document processing applications like Google Docs are far behind Office 365 popular Word and Excel software, but G Suite User interface is intuite, simple and easy to navigate. Office 365 is too clunky. Get 20% off G-Suite Business Plan with Promo Code: PCQ49CJYK7EATNC
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Category: Networking
Description: Provides an isolated, private environment in the cloud. Users have control over their virtual networking environment, including selection of their own IP address range, creation of subnets, and configuration of route tables and network gateways.
References:
[AWS]:Virtual Private Cloud (VPC), Cloud virtual networking, Subnets, Elastic Network Interface (ENI), Route Tables, Network ACL, Secutity Groups, Internet Gateway, NAT Gateway, AWS VPN Gateway, AWS Route 53, AWS Direct Connect, AWS Network Load Balancer, VPN CloudHub, AWS Local Zones, AWS Transit Gateway network manager (Centrally manage global networks)
[Azure]:Virtual Network(provide services for building networks within Azure.),Subnets (network resources can be grouped by subnet for organisation and security.), Network Interface (Each virtual machine can be assigned one or more network interfaces (NICs)), Network Security Groups (NSG: contains a set of prioritised ACL rules that explicitly grant or deny access), Azure VPN Gateway ( allows connectivity to on-premise networks), Azure DNS, Traffic Manager (DNS based traffic routing solution.), ExpressRoute (provides connections up to 10 Gbps to Azure services over a dedicated fibre connection), Azure Load Balancer, Network Peering, Azure Stack (Azure Stack allows organisations to use Azure services running in private data centers.), Azure Load Balancer , Azure Log Analytics, Azure DNS,
[Google]:Cloud Virtual Network, Subnets, Network Interface, Protocol fowarding, Cloud VPN, Cloud DNS, Virtual Private Network, Cloud Interconnect, CDN interconnect, Cloud DNS, Stackdriver, Google Cloud Load Balancing,
Tags:#VPC, #Subnets, #ACL, #VPNGateway, #CloudVPN, #NetworkInterface, #ENI, #RouteTables, #NSG, #NetworkACL, #InternetGateway, #NatGateway, #ExpressRoute, #CloudInterConnect, #StackDriver
Differences: Subnets group related resources, however, unlike AWS and Azure, Google do not constrain the private IP address ranges of subnets to the address space of the parent network. Like Azure, Google has a built in internet gateway that can be specified from routing rules.
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Category: Management
Description: A unified management console that simplifies building, deploying, and operating your cloud resources.
References:
[AWS]: AWS Management Console, Trusted Advisor, AWS Usage and Billing Report, AWS Application Discovery Service, Amazon EC2 Systems Manager, AWS Personal Health Dashboard, AWS Compute Optimizer (Identify optimal AWS Compute resources)
[Azure]:Azure portal, Azure Advisor, Azure Billing API, Azure Migrate, Azure Monitor, Azure Resource Health
[Google]:Google CLoud Platform, Cost Management, Security Command Center, StackDriver
Tags: #AWSConsole, #AzurePortal, #GoogleCloudConsole, #TrustedAdvisor, #AzureMonitor, #SecurityCommandCenter
Differences: AWS Console categorizes its Infrastructure as a Service offerings into Compute, Storage and Content Delivery Network (CDN), Database, and Networking to help businesses and individuals grow. Azure excels in the Hybrid Cloud space allowing companies to integrate onsite servers with cloud offerings. Google has a strong offering in containers, since Google developed the Kubernetes standard that AWS and Azure now offer. GCP specializes in high compute offerings like Big Data, analytics and machine learning. It also offers considerable scale and load balancing – Google knows data centers and fast response time.
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Category: DevOps and application monitoring
Description: Comprehensive solution for collecting, analyzing, and acting on telemetry from your cloud and on-premises environments; Cloud services for collaborating on code development; Collection of tools for building, debugging, deploying, diagnosing, and managing multiplatform scalable apps and services; Fully managed build service that supports continuous integration and deployment.
References:
[AWS]:AWS CodePipeline(orchestrates workflow for continuous integration, continuous delivery, and continuous deployment), AWS CloudWatch (monitor your AWS resources and the applications you run on AWS in real time. ), AWS X-Ray (application performance management service that enables a developer to analyze and debug applications in aws), AWS CodeDeploy (automates code deployments to Elastic Compute Cloud (EC2) and on-premises servers. ), AWS CodeCommit ( source code storage and version-control service), AWS Developer Tools, AWS CodeBuild (continuous integration service that compiles source code, runs tests, and produces software packages that are ready to deploy. ), AWS Command Line Interface (unified tool to manage your AWS services), AWS OpsWorks (Chef-based), AWS CloudFormation ( provides a common language for you to describe and provision all the infrastructure resources in your cloud environment.), Amazon CodeGuru (for automated code reviews and application performance recommendations)
[Azure]:Azure Monitor, Azure DevOps, Azure Developer Tools, Azure CLI Azure PowerShell, Azure Automation, Azure Resource Manager , VM extensions , Azure Automation
[Google]:DevOps Solutions (Infrastructure as code, Configuration management, Secrets management, Serverless computing, Continuous delivery, Continuous integration , Stackdriver (combines metrics, logs, and metadata from all of your cloud accounts and projects into a single comprehensive view of your environment)
Tags: #CloudWatch, #StackDriver, #AzureMonitor, #AWSXray, #AWSCodeDeploy, #AzureDevOps, #GoogleDevopsSolutions
Differences: CodeCommit eliminates the need to operate your own source control system or worry about scaling its infrastructure. Azure DevOps provides unlimited private Git hosting, cloud build for continuous integration, agile planning, and release management for continuous delivery to the cloud and on-premises. Includes broad IDE support.
SageMaker | Azure Machine Learning Studio
A collaborative, drag-and-drop tool to build, test, and deploy predictive analytics solutions on your data.
Alexa Skills Kit | Microsoft Bot Framework
Build and connect intelligent bots that interact with your users using text/SMS, Skype, Teams, Slack, Office 365 mail, Twitter, and other popular services.
API capable of converting speech to text, understanding intent, and converting text back to speech for natural responsiveness.
Amazon Lex | Language Understanding (LUIS)
Allows your applications to understand user commands contextually.
Amazon Polly, Amazon Transcribe | Azure Speech Services
Enables both Speech to Text, and Text into Speech capabilities.
The Speech Services are the unification of speech-to-text, text-to-speech, and speech-translation into a single Azure subscription. It’s easy to speech enable your applications, tools, and devices with the Speech SDK, Speech Devices SDK, or REST APIs.
Amazon Polly is a Text-to-Speech (TTS) service that uses advanced deep learning technologies to synthesize speech that sounds like a human voice. With dozens of lifelike voices across a variety of languages, you can select the ideal voice and build speech-enabled applications that work in many different countries.
Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to their applications. Using the Amazon Transcribe API, you can analyze audio files stored in Amazon S3 and have the service return a text file of the transcribed speech.
Amazon Rekognition | Cognitive Services
Computer Vision: Extract information from images to categorize and process visual data.
Amazon Rekognition is a simple and easy to use API that can quickly analyze any image or video file stored in Amazon S3. Amazon Rekognition is always learning from new data, and we are continually adding new labels and facial recognition features to the service.
Face: Detect, identy, and analyze faces in photos.
Emotions: Recognize emotions in images.
Alexa Skill Set | Azure Virtual Assistant
The Virtual Assistant Template brings together a number of best practices we’ve identified through the building of conversational experiences and automates integration of components that we’ve found to be highly beneficial to Bot Framework developers.
Big data and analytics
Data warehouse
AWS Redshift | SQL Data Warehouse
Cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data.
Big data processing EMR | Azure Databricks
Apache Spark-based analytics platform.
Managed Hadoop service. Deploy and manage Hadoop clusters in Azure.
Data orchestration / ETL
AWS Data Pipeline, AWS Glue | Data Factory
Processes and moves data between different compute and storage services, as well as on-premises data sources at specified intervals. Create, schedule, orchestrate, and manage data pipelines.
A fully managed service that serves as a system of registration and system of discovery for enterprise data sources
Analytics and visualization
AWS Kinesis Analytics | Stream Analytics
Data Lake Analytics | Data Lake Store
Storage and analysis platforms that create insights from large quantities of data, or data that originates from many sources.
Business intelligence tools that build visualizations, perform ad hoc analysis, and develop business insights from data.
Delivers full-text search and related search analytics and capabilities.
Amazon Athena | Azure Data Lake Analytics
Provides a serverless interactive query service that uses standard SQL for analyzing databases.
Compute
Virtual servers
Elastic Compute Cloud (EC2) | Azure Virtual Machines
Virtual servers allow users to deploy, manage, and maintain OS and server software. Instance types provide combinations of CPU/RAM. Users pay for what they use with the flexibility to change sizes.
Run large-scale parallel and high-performance computing applications efficiently in the cloud.
AWS Auto Scaling | Virtual Machine Scale Sets
Allows you to automatically change the number of VM instances. You set defined metric and thresholds that determine if the platform adds or removes instances.
VMware Cloud on AWS | Azure VMware by CloudSimple
Redeploy and extend your VMware-based enterprise workloads to Azure with Azure VMware Solution by CloudSimple. Keep using the VMware tools you already know to manage workloads on Azure without disrupting network, security, or data protection policies.
Containers and container orchestrators
EC2 Container Service (ECS), Fargate | Azure Container Instances
Azure Container Instances is the fastest and simplest way to run a container in Azure, without having to provision any virtual machines or adopt a higher-level orchestration service.
EC2 Container Registry | Azure Container Registry
Allows customers to store Docker formatted images. Used to create all types of container deployments on Azure.
Elastic Container Service for Kubernetes (EKS) | Azure Kubernetes Service (AKS)
Deploy orchestrated containerized applications with Kubernetes. Simplify monitoring and cluster management through auto upgrades and a built-in operations console.
App Mesh | Service Fabric Mesh
Fully managed service that enables developers to deploy microservices applications without managing virtual machines, storage, or networking.
AWS App Mesh is a service mesh that provides application-level networking to make it easy for your services to communicate with each other across multiple types of compute infrastructure. App Mesh standardizes how your services communicate, giving you end-to-end visibility and ensuring high-availability for your applications.
Serverless
Integrate systems and run backend processes in response to events or schedules without provisioning or managing servers.
AWS Lambda is an event-driven, serverless computing platform provided by Amazon as a part of the Amazon Web Services. It is a computing service that runs code in response to events and automatically manages the computing resources required by that code
Database
Relational database
AWS RDS | SQL Database Azure Database for MySQL Azure Database for PostgreSQL
Managed relational database service where resiliency, scale, and maintenance are primarily handled by the platform.
Amazon Relational Database Service is a distributed relational database service by Amazon Web Services. It is a web service running “in the cloud” designed to simplify the setup, operation, and scaling of a relational database for use in applications. Administration processes like patching the database software, backing up databases and enabling point-in-time recovery are managed automatically. Scaling storage and compute resources can be performed by a single API call as AWS does not offer an ssh connection to RDS instances.
NoSQL / Document
DynamoDB and SimpleDB | Azure Cosmos DB
A globally distributed, multi-model database that natively supports multiple data models: key-value, documents, graphs, and columnar.
Caching
AWS ElastiCache | Azure Cache for Redis
An in-memory–based, distributed caching service that provides a high-performance store typically used to offload non transactional work from a database.
Amazon ElastiCache is a fully managed in-memory data store and cache service by Amazon Web Services. The service improves the performance of web applications by retrieving information from managed in-memory caches, instead of relying entirely on slower disk-based databases. ElastiCache supports two open-source in-memory caching engines: Memcached and Redis.
Database migration
AWS Database Migration Service | Azure Database Migration Service
Migration of database schema and data from one database format to a specific database technology in the cloud.
AWS Database Migration Service helps you migrate databases to AWS quickly and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database. The AWS Database Migration Service can migrate your data to and from most widely used commercial and open-source databases.
DevOps and application monitoring
AWS CloudWatch, AWS X-Ray | Azure Monitor
Comprehensive solution for collecting, analyzing, and acting on telemetry from your cloud and on-premises environments.
Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, developers, site reliability engineers (SREs), and IT managers. CloudWatch provides you with data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services that run on AWS and on-premises servers.
AWS X-Ray is an application performance management service that enables a developer to analyze and debug applications in the Amazon Web Services (AWS) public cloud. A developer can use AWS X-Ray to visualize how a distributed application is performing during development or production, and across multiple AWS regions and accounts.
AWS CodeDeploy, AWS CodeCommit, AWS CodePipeline | Azure DevOps
A cloud service for collaborating on code development.
AWS CodeDeploy is a fully managed deployment service that automates software deployments to a variety of compute services such as Amazon EC2, AWS Fargate, AWS Lambda, and your on-premises servers. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during application deployment, and handles the complexity of updating your applications.
AWS CodePipeline is a fully managed continuous delivery service that helps you automate your release pipelines for fast and reliable application and infrastructure updates. CodePipeline automates the build, test, and deploy phases of your release process every time there is a code change, based on the release model you define.
AWS CodeCommit is a source code storage and version-control service for Amazon Web Services’ public cloud customers. CodeCommit was designed to help IT teams collaborate on software development, including continuous integration and application delivery.
AWS Developer Tools | Azure Developer Tools
Collection of tools for building, debugging, deploying, diagnosing, and managing multiplatform scalable apps and services.
The AWS Developer Tools are designed to help you build software like Amazon. They facilitate practices such as continuous delivery and infrastructure as code for serverless, containers, and Amazon EC2.
AWS CodeBuild | Azure DevOps
Fully managed build service that supports continuous integration and deployment.
AWS Command Line Interface | Azure CLI Azure PowerShell
Built on top of the native REST API across all cloud services, various programming language-specific wrappers provide easier ways to create solutions.
The AWS Command Line Interface (CLI) is a unified tool to manage your AWS services. With just one tool to download and configure, you can control multiple AWS services from the command line and automate them through scripts.
AWS OpsWorks (Chef-based) | Azure Automation
Configures and operates applications of all shapes and sizes, and provides templates to create and manage a collection of resources.
AWS OpsWorks is a configuration management service that provides managed instances of Chef and Puppet. Chef and Puppet are automation platforms that allow you to use code to automate the configurations of your servers.
AWS CloudFormation | Azure Resource Manager , VM extensions , Azure Automation
Provides a way for users to automate the manual, long-running, error-prone, and frequently repeated IT tasks.
AWS CloudFormation provides a common language for you to describe and provision all the infrastructure resources in your cloud environment. CloudFormation allows you to use a simple text file to model and provision, in an automated and secure manner, all the resources needed for your applications across all regions and accounts.
Networking
Area
Cloud virtual networking, Virtual Private Cloud (VPC) | Virtual Network
Provides an isolated, private environment in the cloud. Users have control over their virtual networking environment, including selection of their own IP address range, creation of subnets, and configuration of route tables and network gateways.
Cross-premises connectivity
AWS VPN Gateway | Azure VPN Gateway
Connects Azure virtual networks to other Azure virtual networks, or customer on-premises networks (Site To Site). Allows end users to connect to Azure services through VPN tunneling (Point To Site).
DNS management
AWS Route 53 | Azure DNS
Manage your DNS records using the same credentials and billing and support contract as your other Azure services
Route 53 | Traffic Manager
A service that hosts domain names, plus routes users to Internet applications, connects user requests to datacenters, manages traffic to apps, and improves app availability with automatic failover.
Dedicated network
AWS Direct Connect | ExpressRoute
Establishes a dedicated, private network connection from a location to the cloud provider (not over the Internet).
Load balancing
AWS Network Load Balancer | Azure Load Balancer
Azure Load Balancer load-balances traffic at layer 4 (TCP or UDP).
Application Load Balancer | Application Gateway
Application Gateway is a layer 7 load balancer. It supports SSL termination, cookie-based session affinity, and round robin for load-balancing traffic.
Internet of things (IoT)
AWS IoT | Azure IoT Hub
A cloud gateway for managing bidirectional communication with billions of IoT devices, securely and at scale.
AWS Greengrass | Azure IoT Edge
Deploy cloud intelligence directly on IoT devices to run in on-premises scenarios.
Kinesis Firehose, Kinesis Streams | Event Hubs
Services that allow the mass ingestion of small data inputs, typically from devices and sensors, to process and route the data.
AWS IoT Things Graph | Azure Digital Twins
Azure Digital Twins is an IoT service that helps you create comprehensive models of physical environments. Create spatial intelligence graphs to model the relationships and interactions between people, places, and devices. Query data from a physical space rather than disparate sensors.
Management
Trusted Advisor | Azure Advisor
Provides analysis of cloud resource configuration and security so subscribers can ensure they’re making use of best practices and optimum configurations.
AWS Usage and Billing Report | Azure Billing API
Services to help generate, monitor, forecast, and share billing data for resource usage by time, organization, or product resources.
AWS Management Console | Azure portal
A unified management console that simplifies building, deploying, and operating your cloud resources.
AWS Application Discovery Service | Azure Migrate
Assesses on-premises workloads for migration to Azure, performs performance-based sizing, and provides cost estimations.
Amazon EC2 Systems Manager | Azure Monitor
Comprehensive solution for collecting, analyzing, and acting on telemetry from your cloud and on-premises environments.
AWS Personal Health Dashboard | Azure Resource Health
Provides detailed information about the health of resources as well as recommended actions for maintaining resource health.
Security, identity, and access
Authentication and authorization
Identity and Access Management (IAM) | Azure Active Directory
Allows users to securely control access to services and resources while offering data security and protection. Create and manage users and groups, and use permissions to allow and deny access to resources.
Identity and Access Management (IAM) | Azure Role Based Access Control
Role-based access control (RBAC) helps you manage who has access to Azure resources, what they can do with those resources, and what areas they have access to.
AWS Organizations | Azure Subscription Management + Azure RBAC
Security policy and role management for working with multiple accounts.
Multi-Factor Authentication | Multi-Factor Authentication
Safeguard access to data and applications while meeting user demand for a simple sign-in process.
AWS Directory Service | Azure Active Directory Domain Services
Provides managed domain services such as domain join, group policy, LDAP, and Kerberos/NTLM authentication that are fully compatible with Windows Server Active Directory.
Cognito | Azure Active Directory B2C
A highly available, global, identity management service for consumer-facing applications that scales to hundreds of millions of identities.
AWS Organizations | Azure Policy
Azure Policy is a service in Azure that you use to create, assign, and manage policies. These policies enforce different rules and effects over your resources, so those resources stay compliant with your corporate standards and service level agreements.
AWS Organizations | Management Groups
Azure management groups provide a level of scope above subscriptions. You organize subscriptions into containers called “management groups” and apply your governance conditions to the management groups. All subscriptions within a management group automatically inherit the conditions applied to the management group. Management groups give you enterprise-grade management at a large scale, no matter what type of subscriptions you have.
Encryption
Server-side encryption with Amazon S3 Key Management Service | Azure Storage Service Encryption
Helps you protect and safeguard your data and meet your organizational security and compliance commitments.
Key Management Service AWS KMS, CloudHSM | Key Vault
Provides security solution and works with other services by providing a way to manage, create, and control encryption keys stored in hardware security modules (HSM).
Firewall
Web Application Firewall | Application Gateway – Web Application Firewall
A firewall that protects web applications from common web exploits.
Web Application Firewall | Azure Firewall
Provides inbound protection for non-HTTP/S protocols, outbound network-level protection for all ports and protocols, and application-level protection for outbound HTTP/S.
Security
Inspector | Security Center
An automated security assessment service that improves the security and compliance of applications. Automatically assess applications for vulnerabilities or deviations from best practices.
Certificate Manager | App Service Certificates available on the Portal
Service that allows customers to create, manage, and consume certificates seamlessly in the cloud.
GuardDuty | Azure Advanced Threat Protection
Detect and investigate advanced attacks on-premises and in the cloud.
AWS Artifact | Service Trust Portal
Provides access to audit reports, compliance guides, and trust documents from across cloud services.
AWS Shield | Azure DDos Protection Service
Provides cloud services with protection from distributed denial of services (DDoS) attacks.
Storage
Object storage
Simple Storage Services (S3) | Azure Blob storage
Object storage service, for use cases including cloud applications, content distribution, backup, archiving, disaster recovery, and big data analytics.
Virtual server disks
Elastic Block Store (EBS) | Azure managed disks
SSD storage optimized for I/O intensive read/write operations. For use as high-performance Azure virtual machine storage.
Shared files
Elastic File System | Azure Files
Provides a simple interface to create and configure file systems quickly, and share common files. Can be used with traditional protocols that access files over a network.
Archiving and backup
S3 Infrequent Access (IA) | Azure Storage cool tier
Cool storage is a lower-cost tier for storing data that is infrequently accessed and long-lived.
S3 Glacier | Azure Storage archive access tier
Archive storage has the lowest storage cost and higher data retrieval costs compared to hot and cool storage.
AWS Backup | Azure Backup
Back up and recover files and folders from the cloud, and provide offsite protection against data loss.
Hybrid storage
Storage Gateway | StorSimple
Integrates on-premises IT environments with cloud storage. Automates data management and storage, plus supports disaster recovery.
Bulk data transfer
AWS Import/Export Disk | Import/Export
A data transport solution that uses secure disks and appliances to transfer large amounts of data. Also offers data protection during transit.
AWS Import/Export Snowball, Snowball Edge, Snowmobile | Azure Data Box
Petabyte- to exabyte-scale data transport solution that uses secure data storage devices to transfer large amounts of data to and from Azure.
Web applications
Elastic Beanstalk | App Service
Managed hosting platform providing easy to use services for deploying and scaling web applications and services.
API Gateway | API Management
A turnkey solution for publishing APIs to external and internal consumers.
CloudFront | Azure Content Delivery Network
A global content delivery network that delivers audio, video, applications, images, and other files.
Global Accelerator | Azure Front Door
Easily join your distributed microservice architectures into a single global application using HTTP load balancing and path-based routing rules. Automate turning up new regions and scale-out with API-driven global actions, and independent fault-tolerance to your back end microservices in Azure—or anywhere.
Miscellaneous
Backend process logic
AWS Step Functions | Logic Apps
Cloud technology to build distributed applications using out-of-the-box connectors to reduce integration challenges. Connect apps, data and devices on-premises or in the cloud.
Enterprise application services
Amazon WorkMail, Amazon WorkDocs | Office 365
Fully integrated Cloud service providing communications, email, document management in the cloud and available on a wide variety of devices.
Gaming
GameLift, GameSparks | PlayFab
Managed services for hosting dedicated game servers.
Media transcoding
Elastic Transcoder | Media Services
Services that offer broadcast-quality video streaming services, including various transcoding technologies.
Workflow
Simple Workflow Service (SWF) | Logic Apps
Serverless technology for connecting apps, data and devices anywhere, whether on-premises or in the cloud for large ecosystems of SaaS and cloud-based connectors.
Hybrid
Outposts | Azure Stack
Azure Stack is a hybrid cloud platform that enables you to run Azure services in your company’s or service provider’s datacenter. As a developer, you can build apps on Azure Stack. You can then deploy them to either Azure Stack or Azure, or you can build truly hybrid apps that take advantage of connectivity between an Azure Stack cloud and Azure.
How does a business decide between Microsoft Azure or AWS?
Basically, it all comes down to what your organizational needs are and if there’s a particular area that’s especially important to your business (ex. serverless, or integration with Microsoft applications).
Some of the main things it comes down to is compute options, pricing, and purchasing options.
Here’s a brief comparison of the compute option features across cloud providers:
Here’s an example of a few instances’ costs (all are Linux OS):
Each provider offers a variety of options to lower costs from the listed On-Demand prices. These can fall under reservations, spot and preemptible instances and contracts.
Both AWS and Azure offer a way for customers to purchase compute capacity in advance in exchange for a discount: AWS Reserved Instances and Azure Reserved Virtual Machine Instances. There are a few interesting variations between the instances across the cloud providers which could affect which is more appealing to a business.
Another discounting mechanism is the idea of spot instances in AWS and low-priority VMs in Azure. These options allow users to purchase unused capacity for a steep discount.
With AWS and Azure, enterprise contracts are available. These are typically aimed at enterprise customers, and encourage large companies to commit to specific levels of usage and spend in exchange for an across-the-board discount – for example, AWS EDPs and Azure Enterprise Agreements.
You can read more about the differences between AWS and Azure to help decide which your business should use in this blog post
Source: AWS to Azure services comparison – Azure Architecture
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List of Freely available programming books - What is the single most influential book every Programmers should read
- Bjarne Stroustrup - The C++ Programming Language
- Brian W. Kernighan, Rob Pike - The Practice of Programming
- Donald Knuth - The Art of Computer Programming
- Ellen Ullman - Close to the Machine
- Ellis Horowitz - Fundamentals of Computer Algorithms
- Eric Raymond - The Art of Unix Programming
- Gerald M. Weinberg - The Psychology of Computer Programming
- James Gosling - The Java Programming Language
- Joel Spolsky - The Best Software Writing I
- Keith Curtis - After the Software Wars
- Richard M. Stallman - Free Software, Free Society
- Richard P. Gabriel - Patterns of Software
- Richard P. Gabriel - Innovation Happens Elsewhere
- Code Complete (2nd edition) by Steve McConnell
- The Pragmatic Programmer
- Structure and Interpretation of Computer Programs
- The C Programming Language by Kernighan and Ritchie
- Introduction to Algorithms by Cormen, Leiserson, Rivest & Stein
- Design Patterns by the Gang of Four
- Refactoring: Improving the Design of Existing Code
- The Mythical Man Month
- The Art of Computer Programming by Donald Knuth
- Compilers: Principles, Techniques and Tools by Alfred V. Aho, Ravi Sethi and Jeffrey D. Ullman
- Gödel, Escher, Bach by Douglas Hofstadter
- Clean Code: A Handbook of Agile Software Craftsmanship by Robert C. Martin
- Effective C++
- More Effective C++
- CODE by Charles Petzold
- Programming Pearls by Jon Bentley
- Working Effectively with Legacy Code by Michael C. Feathers
- Peopleware by Demarco and Lister
- Coders at Work by Peter Seibel
- Surely You're Joking, Mr. Feynman!
- Effective Java 2nd edition
- Patterns of Enterprise Application Architecture by Martin Fowler
- The Little Schemer
- The Seasoned Schemer
- Why's (Poignant) Guide to Ruby
- The Inmates Are Running The Asylum: Why High Tech Products Drive Us Crazy and How to Restore the Sanity
- The Art of Unix Programming
- Test-Driven Development: By Example by Kent Beck
- Practices of an Agile Developer
- Don't Make Me Think
- Agile Software Development, Principles, Patterns, and Practices by Robert C. Martin
- Domain Driven Designs by Eric Evans
- The Design of Everyday Things by Donald Norman
- Modern C++ Design by Andrei Alexandrescu
- Best Software Writing I by Joel Spolsky
- The Practice of Programming by Kernighan and Pike
- Pragmatic Thinking and Learning: Refactor Your Wetware by Andy Hunt
- Software Estimation: Demystifying the Black Art by Steve McConnel
- The Passionate Programmer (My Job Went To India) by Chad Fowler
- Hackers: Heroes of the Computer Revolution
- Algorithms + Data Structures = Programs
- Writing Solid Code
- JavaScript - The Good Parts
- Getting Real by 37 Signals
- Foundations of Programming by Karl Seguin
- Computer Graphics: Principles and Practice in C (2nd Edition)
- Thinking in Java by Bruce Eckel
- The Elements of Computing Systems
- Refactoring to Patterns by Joshua Kerievsky
- Modern Operating Systems by Andrew S. Tanenbaum
- The Annotated Turing
- Things That Make Us Smart by Donald Norman
- The Timeless Way of Building by Christopher Alexander
- The Deadline: A Novel About Project Management by Tom DeMarco
- The C++ Programming Language (3rd edition) by Stroustrup
- Patterns of Enterprise Application Architecture
- Computer Systems - A Programmer's Perspective
- Agile Principles, Patterns, and Practices in C# by Robert C. Martin
- Growing Object-Oriented Software, Guided by Tests
- Framework Design Guidelines by Brad Abrams
- Object Thinking by Dr. David West
- Advanced Programming in the UNIX Environment by W. Richard Stevens
- Hackers and Painters: Big Ideas from the Computer Age
- The Soul of a New Machine by Tracy Kidder
- CLR via C# by Jeffrey Richter
- The Timeless Way of Building by Christopher Alexander
- Design Patterns in C# by Steve Metsker
- Alice in Wonderland by Lewis Carol
- Zen and the Art of Motorcycle Maintenance by Robert M. Pirsig
- About Face - The Essentials of Interaction Design
- Here Comes Everybody: The Power of Organizing Without Organizations by Clay Shirky
- The Tao of Programming
- Computational Beauty of Nature
- Writing Solid Code by Steve Maguire
- Philip and Alex's Guide to Web Publishing
- Object-Oriented Analysis and Design with Applications by Grady Booch
- Effective Java by Joshua Bloch
- Computability by N. J. Cutland
- Masterminds of Programming
- The Tao Te Ching
- The Productive Programmer
- The Art of Deception by Kevin Mitnick
- The Career Programmer: Guerilla Tactics for an Imperfect World by Christopher Duncan
- Paradigms of Artificial Intelligence Programming: Case studies in Common Lisp
- Masters of Doom
- Pragmatic Unit Testing in C# with NUnit by Andy Hunt and Dave Thomas with Matt Hargett
- How To Solve It by George Polya
- The Alchemist by Paulo Coelho
- Smalltalk-80: The Language and its Implementation
- Writing Secure Code (2nd Edition) by Michael Howard
- Introduction to Functional Programming by Philip Wadler and Richard Bird
- No Bugs! by David Thielen
- Rework by Jason Freid and DHH
- JUnit in Action
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