So happy that I passed the SAA-C03 with a 843! After 4–5 weeks of continuous studying using course material and multiple practice tests, day and night, the hard work finally paid off. Truly grateful to Stéphane Maarek for the incredible course and practice tests, which prepared me for even more than what was required for the exam. 🙏🏼 submitted by /u/Nice-Violinist2142 [link] [comments]

Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G6 instances powered by NVIDIA L4 GPUs are available in AWS European Sovereign Cloud (Germany). G6 instances can be used for a wide range of graphics-intensive and machine learning (ML) use cases. Customers can use G6 instances for deploying ML models for natural language processing, language translation, video and image analysis, speech recognition, and personalization. G6 instances are also well-suited for graphics workloads, such as creating and rendering real-time, cinematic-quality graphics and game streaming. G6 instances feature up to 8 NVIDIA L4 Tensor Core GPUs with 24 GB of memory per GPU and third generation AMD EPYC processors. They also support up to 192 vCPUs, up to 100 Gbps of network bandwidth, and up to 7.52 TB of local NVMe SSD storage. In addition to AWS European Sovereign Cloud (Germany), Amazon EC2 G6 instances are available today in the AWS US East (N. Virginia and Ohio), US West (Oregon), Europe (Frankfurt, London, Paris, Spain, Stockholm and Zurich), Asia Pacific (Mumbai, Tokyo, Malaysia, Seoul and Sydney), South America (Sao Paulo), Middle East (UAE) and Canada (Central) Regions. Customers can purchase G6 instances as On-Demand Instances, Spot Instances, or as part of Savings Plans. To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit the G6 instance page.

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8i instances are available in the Europe (Ireland) and Asia Pacific (Mumbai) regions. These instances are powered by custom Intel Xeon 6 processors available only on AWS. X8i instances are SAP-certified and deliver the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. They deliver up to 43% higher performance, 1.5x more memory capacity (up to 6TB), and 3.3x more memory bandwidth compared to previous generation X2i instances. X8i instances are designed for memory-intensive workloads like SAP HANA, large databases, data analytics, and Electronic Design Automation (EDA). Compared to X2i instances, X8i instances offer up to 50% higher SAPS performance, up to 47% faster PostgreSQL performance, 88% faster Memcached performance, and 46% faster AI inference performance. X8i instances come in 14 sizes, from large to 96xlarge, including two bare metal options. To get started, visit the AWS Management Console. X8i instances can be purchased via Savings Plans, On-Demand instances, and Spot instances. For more information visit X8i instances page.

Amazon SageMaker Unified Studio announces new administration features that give administrators more control over identity configuration and user management for both IAM and Identity Center domain types. In SageMaker IAM domains, administrators can now onboard users through single sign-on by configuring AWS IAM Identity Center. After configuration, administrators can add IAM roles, IAM users, IAM Identity Center users, and IAM Identity Center groups as project members. Teams can collaborate on project data and resources regardless of how individual members authenticate. Administrators can set up IAM Identity Center integration in the SageMaker Unified Studio admin portal. A new domain user management page for SageMaker IAM domains gives administrators a consolidated view of all users active in the domain, where they can manage access and update permissions from a single screen. In SageMaker Identity Center domains, users can now access the SageMaker Unified Studio portal by federating through an IAM role. SageMaker Unified Studio creates a unique user session for each federated user, so users sharing the same role don't overwrite each other's work. Administrators can audit individual actions even when multiple users share a single IAM role. With these features, customers can use IAM identity or IAM Identity Center corporate identity across both domain types, giving teams flexibility to collaborate in SageMaker Unified Studio regardless of their authentication method. These features are available in the following AWS Regions: Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Stockholm), South America (São Paulo), US East (N. Virginia), US East (Ohio), and US West (Oregon). To learn more, visit the SageMaker Unified Studio documentation.

Hey everyone! I would like an honest opinion from everyone. I’m 27 and currently looking into a new career path bc I honestly feel stuck financially and professionally right now. I don’t have a college degree yet (I had to stop school for financial reasons), but I’m trying to figure out a direction that can give me stability and growth Recently I started researching AWS/cloud certifications, specifically the AWS Cloud Practitioner certification, and I’m genuinely interested in it! I’m willing to put in the time and effort to learn I know it’s not “easy money” and that certifications alone don’t guarantee a high paying job. I guess I’m looking for honest advice from people already in the field: - Is AWS/cloud still a good path to get into in 2026? - Can someone without a degree realistically break into this field? - What kinds of entry-level jobs should I realistically expect at first? - How difficult was the learning curve for you starting out? - If you could restart from zero, what would you focus on first? I’m trying to make a smart long-term decision and would really appreciate real experiences/advice from people already working in cloud or tech. Thanks everyone! submitted by /u/Away_Beautiful_8784 [link] [comments]

Starting today, Amazon EC2 G7e instances accelerated by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs are now available in Europe (London) region. G7e instances offer up to 2.3x inference performance compared to G6e. Customers can use G7e instances to deploy large language models (LLMs), agentic AI models, multimodal generative AI models, and physical AI models. G7e instances offer the highest performance for spatial computing workloads as well as workloads that require both graphics and AI processing capabilities. G7e instances feature up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, with 96 GB of memory per GPU, and 5th Generation Intel Xeon processors. They support up to 192 virtual CPUs (vCPUs) and up to 1600 Gbps of networking bandwidth. G7e instances support NVIDIA GPUDirect Peer to Peer (P2P) that boosts performance for multi-GPU workloads. Multi-GPU G7e instances also support NVIDIA GPUDirect Remote Direct Memory Access (RDMA) with EFA in EC2 UltraClusters, reducing latency for small-scale multi-node workloads. You can use G7e instances for Amazon EC2 in the following AWS Regions: US West (Oregon), US East (N. Virginia, Ohio), Europe (Spain, London) and Asia Pacific (Tokyo, Seoul). You can purchase G7e instances as On-Demand Instances, Spot Instances, or as part of Savings Plans. To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit G7e instances.

Today, AWS announces availability notifications for AWS Capabilities by Region in AWS Builder Center, a new subscription-based system that automatically alerts builders when an AWS service(s) and/or features(s) become available in their target Regions. Availability notifications make it easy for builders to track availability of 1,500+ services and features across 37 AWS Regions, accelerating infrastructure planning and deployment decisions. With availability notifications, builders can subscribe at the service level through AWS Builder Center UI, and the subscription automatically covers all underlying features across selected Regions, so there's no need to track each feature individually. Notifications are delivered through two channels: instantaneous in-app alerts within AWS Builder Center, and a consolidated weekly email digest. Subscriptions and notification preferences can be managed through Settings > Notifications in AWS Builder Center. Common use cases include tracking a specific capability launch, monitoring service parity across AWS Regions, and preparing for upcoming migrations or Regional expansions. For example, a solutions architect expanding a generative AI application into new Regions can subscribe to Amazon Bedrock and receive automatic updates as Knowledge Bases, Guardrails, and other features become available.

I went to the docs to bone up on X-Ray as it was coming up a lot on TD practice exams. However, I found that the X-Ray SDKs and daemon have entered maintenance mode and OpenTelemetry is the new standard. Anyone who's taken an exam like DVA or DOP very recently: can you comment on how X-Ray was featured in your exam? EDIT: I guess, I really am not sure what exactly this sunsetting of the SDKs and daemon even means. X-Ray itself doesn't seem to be put into maintenance mode. Is it just the way info is reported to it from applications that is using the OpenTelemetry standard? submitted by /u/LogsOrItDidntHappen [link] [comments]

AWS Elemental MediaTailor now supports monetization functions, a new capability that lets customers customize how MediaTailor builds ad decision server (ADS) requests and manages session data during ad-personalized playback. With monetization functions, customers can call external APIs and run inline data transformations at defined points in the playback session — eliminating the need to build and operate middleware between the player and the ADS. Common use cases include resolving hashed email addresses into privacy-compliant identity envelopes through providers such as LiveRamp, appending contextual metadata from a content management system to every ad request through providers like GraceNote, activate header bidding workflows through providers like The Trade Desk and running A/B tests across multiple ad decision servers. Monetization functions are fail-open by design: if a function encounters an error, exceeds its timeout, or hits a resource limit, MediaTailor discards the output and proceeds with default ad-insertion behavior, so viewers' playback is never interrupted. Monetization functions is available at general availability in all AWS regions where AWS Elemental MediaTailor operates. You are billed per lifecycle hook invocation at a flat rate that does not depend on the number, type, or complexity of functions. For full details, see the MediaTailor pricing page, the Monetization Functions section of the MediaTailor User Guide, and the MediaTailor product page.

The AWS Advanced JDBC Wrapper now provides column-level client-side encryption through its KMS Encryption plugin. The wrapper provides advanced capabilities such as failover handling, AWS authentication integration, and enhanced monitoring for Amazon Aurora and Amazon RDS open source databases. It enables Java applications to encrypt sensitive data before it reaches the database without changing application code. Database encryption at rest and TLS in transit are foundational security controls. However, with these controls decrypt the data within the database engine. A compromised credential, overprivileged administrator, or SQL injection attack can expose sensitive data in plaintext, creating compliance risk under PCI DSS, HIPAA, and GDPR. The KMS Encryption plugin closes this gap by working at the JDBC driver level. When your application writes to an encrypted column, the plugin encrypts the value before it reaches the database. When reading, it decrypts the value before returning it. Plaintext remains visible only to your application, while the database sees encrypted values. The database can verify data integrity through HMAC validation without needing the encryption key. The plugin integrates seamlessly with your existing SQL, Spring, Hibernate, and connection pool setup without requiring code changes. The KMS Encryption plugin works with Amazon RDS and Amazon Aurora PostgreSQL and MySQL-compatible databases. The plugin is available as an open-source project under the Apache 2.0 license. To learn more, see AWS Advanced JDBC Wrapper documentation.

been seeing a lot of posts about passing certs (congrats to everyone btw, DOP is no joke) but not as much about what happens after. so figured I'd share what's worked for me and what I've seen work for others. the honest truth is the cert gets you past the resume filter, but the promotion conversation is a totally different thing. what actually moved the needle was pairing each cert with a visible project. like after finishing SAA, I rebuilt our VPC architecture and wrote up the decision doc. that doc got shared around and suddenly I was the person people asked about networking decisions. that's the stuff that sticks in a manager's head when promo time comes around. certs without that paper trail are easy to dismiss as just passing a test. for anyone aiming at leadership specifically, the path I've seen work is Associate to Professional with a specialization that matches where your org is going. if your company is doing a big migration, the migration tools knowledge from SAP is actually useful in meetings, not just on your resume. Security and ML specialties are also seeing serious demand right now if either of those aligns with your team's direction. and honestly the AI workload skills are becoming hard to ignore if your org is getting pulled that way. the people getting into cloud architect or lead roles aren't necessarily the ones with the most certs. they're the ones who can walk into a room and explain the tradeoffs clearly. the cert just gives you the credibility to be in that room. salary bumps tend to show up six to twelve months post-cert anyway, so the faster, you can attach real proof of impact to your credentials, the better that timeline looks. what's been the actual turning point for people here, the cert itself, a specific project, or something else entirely? submitted by /u/Such_Grace [link] [comments]

Amazon Connect Outbound Campaigns now detects customer time zones using all phone numbers and addresses on a customer profile, not just the primary contact fields. Previously, time zone detection used only the primary phone number, which could miss customers who span multiple time zones. When a profile's contact information spans multiple time zones, the system delivers only during hours that fall within your configured window in every detected time zone, and skips profiles when no overlap exists. For example, if a customer has a mobile number with an Eastern time area code and a business number with a Pacific time area code, and your campaign is configured for 9am–5pm delivery, messages will only be sent between 12pm–5pm ET (9am–2pm PT), when both time zones fall within the allowed window.  This capability is available in all AWS Regions where Amazon Connect Outbound Campaigns is offered at no additional cost. To learn more, see the Amazon Connect Outbound Campaign documentation. 

Amazon SageMaker HyperPod now supports AMI-based configuration that provisions Slurm cluster nodes with the software and configurations needed for a production-ready environment to run AI/ML training workloads. This removes the need to download, configure, or upload lifecycle configuration scripts to Amazon S3. With fewer operational steps to prepare a cluster and no lifecycle configuration scripts executing during node provisioning, cluster creation time is significantly reduced, so you can start running jobs sooner. AMI-based configuration includes required software such as Docker, Enroot, and Pyxis, and configurations such as Slurm accounting, SSH key generation, Slurm log rotation and user home directory setup. To enable AMI-based configuration, omit the LifeCycleConfig block from the instance group configuration when creating clusters using the CreateCluster API, or when using the SageMaker AI console, select "None" under Lifecycle scripts in Custom setup. For additional customization on top of the AMI-based configuration baseline, an extension script can be provided, allowing you to focus only on what capabilities and software to add, such as user configuration, observability, or LDAP integration. Extension scripts can be configured when creating clusters through both the API and the SageMaker AI console. Using the CreateCluster API, specify the new OnInitComplete parameter and SourceS3Uri in the LifeCycleConfig block. Via the console, provide the S3 URI to the extension script in the "Extension script file in S3" field in Custom setup. For advanced use cases that require full control over provisioning, custom lifecycle configuration scripts remain fully supported through both the API and the SageMaker AI console. This feature is available in all AWS Regions where SageMaker HyperPod is available. To get started with creating HyperPod Slurm clusters with AMI-based node lifecycle configuration, see Getting started with SageMaker HyperPod using the AWS CLI or Getting started with SageMaker HyperPod using the SageMaker AI console in the SageMaker AI developer guide.

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M8gn and M8gb instances are available in the AWS Europe (Ireland) region. These instances are powered by AWS Graviton4 processors to deliver up to 30% better compute performance than AWS Graviton3 processors, and feature the latest 6th generation AWS Nitro Cards. M8gn instances offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances. M8gb offer up to 300 Gbps of EBS bandwidth to provide higher EBS performance compared to same-sized equivalent Graviton4-based instances. M8gn are ideal for network-intensive workloads such as high-performance file systems, distributed web scale in-memory caches, caching fleets, real-time big data analytics, and Telco applications such as 5G User Plane Function (UPF). M8gn instances offer instance sizes up to 48xlarge and metal-48xl, up to 768 GiB of memory, up to 600 Gbps of networking bandwidth, and up to 120 Gbps of bandwidth to Amazon Elastic Block Store (EBS). They support EFA networking on the 16xlarge, 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes, enabling lower latency and improved cluster performance for workloads deployed on tightly coupled clusters. M8gb are ideal for workloads requiring high block storage performance such as high performance databases and NoSQL databases. M8gb instances offer sizes up to 48xlarge and metal-48xl, up to 768 GiB of memory, up to 300 Gbps of EBS bandwidth, and up to 400 Gbps of networking bandwidth. They also support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes. The new instances are available in the following AWS Regions: US East (N. Virginia), US West (Oregon), and Europe (Ireland). Metal sizes are available in US East (N. Virginia) region. To learn more, see Amazon EC2 M8gn and M8gb Instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page.

India customers can now use UPI (Unified Payments Interface) Scan and Pay to sign up for AWS or make payments to their invoices. UPI is a popular and convenient payment method in India, which facilitates instant bank-to-bank transfers between two parties through mobile phones with internet. The new Scan and Pay experience simplifies payments by allowing customers to scan a QR code displayed on the AWS Console using their UPI mobile app (such as Google Pay, PhonePe, Paytm, or Amazon Pay), eliminating the need to manually enter a UPI ID. This enhancement makes the UPI payment experience more secure, convenient, and error-free for customers signing up for AWS or making one-time payments. Scan and Pay reduces friction and aligns with how customers commonly use UPI for everyday transactions. Customers can also set up UPI AutoPay using Scan and Pay for automatic monthly payments up to INR 15,000. To use this feature, customers log in to the AWS Console and select UPI as their payment method during signup or when making a payment. A QR code is displayed on screen, which customers scan using their UPI mobile app to verify and authorize the transaction. To learn more, see Managing Payment Methods in India.

AWS is announcing the general availability of Amazon EC2 R8idn and Amazon EC2 R8idb instances, powered by custom sixth generation Intel Xeon Scalable processors, available only on AWS. These instances also feature the latest sixth generation AWS Nitro cards. R8idn and R8idb deliver up to 43% better compute performance per vCPU compared to previous generation R6in instances. Amazon EC2 R8idn instances offer up to 600 Gbps network bandwidth, the highest network bandwidth among enhanced networking EC2 instances, combined with up to 22,800 GB of local NVMe instance storage. Amazon EC2 R8idb instances deliver up to 300 Gbps EBS bandwidth and up to 1,440K IOPS, the highest EBS performance among non-accelerated compute EC2 instances. R8idn instances are ideal for memory-intensive workloads requiring high network throughput and local storage, such as in-memory databases, real-time big data analytics, and large-scale distributed caching layers. R8idb instances are ideal for memory-intensive workloads requiring high block storage performance, such as large-scale commercial databases, high-performance file systems, and enterprise analytics platforms. Amazon EC2 R8idn and R8idb instances are available in US East (N. Virginia, Ohio), US West (Oregon), and Europe (Spain). R8idn and R8idb instances are available via Savings Plans, On-Demand, and Spot instances. For more information, visit the Amazon EC2 R8i instance page.

AWS is announcing the general availability of Amazon EC2 M8idn and Amazon EC2 M8idb instances, powered by custom sixth generation Intel Xeon Scalable processors, available only on AWS. These instances also feature the latest sixth generation AWS Nitro cards. M8idn and M8idb deliver up to 43% better compute performance per vCPU compared to previous generation M6idn instances. Amazon EC2 M8idn instances offer up to 600 Gbps network bandwidth, the highest network bandwidth among enhanced networking EC2 instances. Amazon EC2 M8idb instances deliver up to 300 Gbps EBS bandwidth, the highest EBS performance among non-accelerated compute EC2 instances. M8idn instances are ideal for network-intensive general purpose workloads requiring local storage, such as distributed compute, data analytics, and high-performance file systems. M8idb instances are ideal for storage-intensive general purpose workloads such as large commercial databases, data lakes, and NoSQL databases that benefit from both high EBS throughput and low-latency local NVMe storage. Amazon EC2 M8idn and Amazon EC2 M8idb instances are available in US East (N. Virginia), US West (Oregon), and Europe (Spain). M8idn and M8idb instances are available via Savings Plans, On-Demand, and Spot instances. For more information, visit the Amazon EC2 M8i instance page.

submitted by /u/Suspicious_Twist386 [link] [comments]

Hey everyone, I’m currently in the middle of studying for the SAA-C03, but I’m having one of those "is this even going to work?" moments. I’m hoping to get some honest perspective from people who are already in the field or have successfully "reset" their careers. My situation: I’m 31, and I’m ready to break into the tech industry. I have a Bachelor’s in IT, but because of a 10-year career gap , I haven't had a "landed" job in the field yet. I’ve been self-studying the MERN stack lately so I’m not starting from absolute zero on the tech side, but on paper, I look like a total beginner. My questions for you guys: The "Landed Job" Reality: Does clearing the SAA actually carry weight for someone with a gap like mine? Or is it just a "nice to have" once you already have a job? Alternative Certs: If your goal was to get hired asap, would you stick with AWS, or would you pivot to something else? Is there a "safer" bet for a re-entry role? What roles should I even search for? If I pass, am I a candidate for Junior Cloud Support? Junior SysAdmin? Or should I be looking at something else entirely? Is it worth it? To those who hire or have seen people in my shoes: Is a 31-year-old "junior" with an SAA a realistic hire, or do companies usually pass on people with a decade long gap? I’m willing to do the Cloud Resume Challenge and build out a real portfolio, I just want to make sure I’m not chasing a certificate that won’t actually help me get my first "real" job. Any advice or success stories would mean a lot. Thanks! submitted by /u/ProcedureExisting493 [link] [comments]

Took the Cloud Institute course around last July, but had some personal stuff come up so I ended up rescheduling the exam a few times. I ran through a few online practice tests and used Copilot to help me study. The actual exam took me about 20 minutes, and then I spent another 20 minutes going back through my answers just to be safe. I work in AWS every day, so none of it felt new. I’ve got A+ and Sec+. I work in Cybersecurity and pretty much wear every hat: IT Admin, Sysadmin, Helpdesk, ISSO, and DevSecOps. Which exam should I take next? submitted by /u/CriticalEmployee02 [link] [comments]

We are pleased to announce that AWS Resource Explorer, a managed capability that simplifies the search and discovery of resources, is now available in the AWS GovCloud Regions (US-East) and (US-West). You can search for your AWS resources either using the AWS Resource Explorer console, the AWS Command Line Interface (AWS CLI), the AWS SDKs, or the unified search bar from wherever you are in the AWS Management Console. From the search results displayed in the console, you can go to your resource’s service console and Region with a single step, and take action. To turn on AWS Resource Explorer, visit the AWS Resource Explorer console. Read about getting started in our AWS Resource Explorer documentation, or explore the AWS Resource Explorer product page.

Today, Amazon Bedrock AgentCore announces the preview of AgentCore payments, enabling AI agents to autonomously access and pay for APIs, MCP servers, web content, and other agents. Built in partnership with Coinbase and Stripe, AgentCore payments is the first managed payment capabilities purpose-built for autonomous agents, handling the full payment lifecycle from wallet authentication through transaction execution to spending governance and observability. As AI agents become more capable and services shift to pay-per-use models built for machine consumption, developers need infrastructure that lets their agents transact without building bespoke billing integrations, credential management, orchestration logic, budgeting, and observability from scratch. With AgentCore payments, developers connect a Coinbase CDP wallet or Stripe Privy wallet as a payment connection, set session-level spending limits, and their agent transacts autonomously during execution. When an agent encounters a paid resource and receives an HTTP 402 response, AgentCore handles the x402 protocol negotiation, wallet authentication, stablecoin payment, and proof delivery back to the endpoint, all without interrupting the agent's reasoning loop. Spending limits are enforced deterministically at the infrastructure layer, and every transaction is observable through the same logs, metrics, and traces developers already use in AgentCore. The Coinbase x402 Bazaar MCP server is also available through AgentCore Gateway, providing over 10,000 x402 endpoints that agents can search, discover, and pay for autonomously. AgentCore payments is available in preview in the following AWS Regions: US East (N. Virginia), US West (Oregon), Europe (Frankfurt), and Asia Pacific (Sydney). Learn more about it through the blog, deep dive using the documentation, and get started with the AgentCore CLI.

I am pushing to pass the AWS Cloud Practitioner exam in about a week and I am looking for a small group or one accountability partner to move fast with structure and consistency. I am focusing only on what matters for the exam like core AWS services, IAM, storage, networking, pricing and the shared responsibility model while using practice questions and active recall instead of long theory. I want a very small group of three to four people who actually check in daily, share progress and keep each other honest. No procrastination, no passive learning and no people who are just trying to “see how it goes” because this is a short sprint and not a casual study plan. If you are serious and want to move quickly, DM me or comment and let us get it done and move straight toward Solutions Architect after this. Before you reach out, please self filter using this: If you are not studying for CCP right now or planning to start immediately, this is not for you If you cannot commit to at least a short daily check in, you will slow the group down If you prefer watching content without practice questions or active recall, this will not work If you are unsure about your availability or tend to disappear mid-week, do not join If you are looking for motivation instead of execution, this will create noise not progress I am only interested in a very small group of people who are consistent, fast moving, and focused on passing the exam quickly so we can move on to Solutions Architect level. No procrastination, no filler conversations, just structured progress and accountability. If that aligns, reach out. submitted by /u/Ok_Solution_4666 [link] [comments]

I’m so happy that I passed! I was nervous, was getting tension headaches, couldn’t sleep. I have no actual prior cloud experience, so this was all very new to me. I honestly probably got in under 2 weeks worth of studying. Maybe less. Here’s how I did it: Stephan Maarek Udemy course! You’ll see this a lot going around, and it’s true. I watched his videos on x2 speed because he goes quite in depth. I used Claude to generate questions for me after each section I learned. There is a Quiz after each section but, only about 9-13 I think. I needed more. There are question papers you can buy from Stephan Maarek on Udemy as well. These are very helpful. The questions are much more difficult than the actual exam so, it definitely gives you a leg up. The last 2 days before my exam, I stopped all studying and only did question. I did the Stephan Maarek questions and then also questions from Claude. Which ever question I got wrong, I’d go back to my notes and read over why I got the question wrong. The exam is easier than you think, but you definitely won’t pass if you don’t study. Best of Luck! submitted by /u/NurieD [link] [comments]

Hello everyone, I recently took the AWS Certified DevOps Engineer Professional exam and scored 616. Although I did not pass, I learned a lot from the experience and I am continuing to study and improve my skills. At the moment, I am unfortunately unable to afford the retake fee. I wanted to ask whether anyone knows of any active AWS certification voucher programs, scholarships, community initiatives, student programs, or discounted retake opportunities that could help. I would genuinely appreciate any guidance, advice, or leads. Thank you very much. submitted by /u/sirneverever [link] [comments]

Amazon RDS for SQL Server now supports M8a and R8a instances powered by 5th Generation AMD EPYC processors. On RDS for SQL Server, R8a and M8a instances deliver up to 70% higher throughput than comparable x86 instances for commonly used instance sizes. Each vCPU in M8a and R8a instances corresponds to a physical CPU core, designed to deliver consistent per-core performance. For workloads with high I/O requirements, M8a and R8a instances provide up to 75 Gbps of network bandwidth and 60 Gbps of Amazon EBS bandwidth. Additionally, M8a and R8a instances support the RDS for SQL Server optimize CPU feature, which allows customers to reduce their vCPU-based Microsoft SQL Server licensing charges by adjusting the number of vCPUs enabled on their instance. All instances are built on the AWS Nitro System using sixth-generation Nitro Cards. Amazon RDS for SQL Server M8a and R8a instances are available in all commercial AWS Regions where these instances are offered in Amazon EC2. Customers can purchase these instances using On-Demand pricing or as part of their Database Savings Plan. To learn more, visit the Amazon RDS for SQL Server pricing page and Amazon RDS User Guide.

Amazon SES Mail Manager is now available in AWS GovCloud (US) regions, expanding Mail Manager coverage to 30 AWS regions. Amazon SES Mail Manager provides a centralized gateway to manage all inbound and outbound email traffic with advanced routing, filtering, and archiving capabilities. It simplifies complex email infrastructure by replacing the need for multiple third-party tools with a single, scalable solution integrated directly into AWS. This gives organizations greater visibility and control over their email flows while reducing operational overhead and cost. The new Mail Manager regions include AWS GovCloud (US-East) and AWS GovCloud (US-West). The full list of Mail Manager region availability is here. To learn more, visit the SES Mail Manager documentation.

I am a software developer with about 8 yrs of experience. I took the cloud practitioner certification and planning to take another one as I try to get more qualifications in my resume. I really want to start looking for a new job after 3 1/2 years at my current one. Which certificate to do next, AI practitioner, developer, or Solutions Architect? I want to get more into AI but I worry that the AI practitioner is too low level and won’t really help me get a job submitted by /u/Silly_Store_3016 [link] [comments]

Amazon Redshift now scales data ingestion automatically with concurrency scaling for batch workloads Posted on: May 7, 2026 Amazon Redshift now extends concurrency scaling to support high-volume data ingestion workloads, enabling concurrency scaling for Amazon Redshift COPY queries from Amazon S3. This means your data pipelines no longer have to choose between ingestion speed and query performance—even during peak demand. Organizations running time-sensitive data operations—real-time analytics, continuous ETL, or high-frequency reporting—often face ingestion bottlenecks during traffic spikes. Until now, concurrency scaling supported read queries, but write-heavy workloads could still experience resource contention with concurrent queries. With this launch, Amazon Redshift automatically provisions additional compute capacity to absorb burstiness in ingestion workloads, delivering: Faster COPY performance – For batch workloads, concurrency scaling now supports COPY for Parquet and ORC file formats from Amazon S3. Load multiple files concurrently without queuing delays, even under heavy concurrent workloads by enabling concurrency scaling for Amazon Redshift COPY queries. Zero operational overhead – No manual cluster resizing or workload scheduling required. Concurrency scaling is enabled and disabled automatically on Amazon Redshift Serverless based on the demand or based on a pre-set configurations in Amazon Redshift Provisioned. This feature is generally available across all AWS commercial regions and AWS GovCloud (US) regions for both Amazon Redshift Serverless and provisioned data warehouses. No migration or configuration changes are required — enable concurrency scaling and your ingestion workloads will benefit immediately. To learn more, visit the Amazon Redshift concurrency scaling documentation.

I am planning to take SAP-C02 in next 3 months and would like to know the best material available to clear it. Clearing exam is not the only motive but also gaining knowledge too. I am SAA certified already and it is going to expire this year. submitted by /u/RK-AWS [link] [comments]

I took two exams, both were associate level, both were at home with virtual proctor via pearson vue. There are no labs or written responses on the exam, just 65 multiple choice questions. But I now see Professional level exams are $300 not $150. so are pro exams a different format? submitted by /u/GheeCome [link] [comments]

Amazon OpenSearch Service now supports the VPC egress option, which allows your virtual private cloud (VPC) domain to establish private network connections to resources in your VPC, such as ML models, AWS services, and custom applications, without exposing traffic to the public internet. When you enable the VPC egress option, OpenSearch Service adds network interfaces to the subnets you selected for the domain and routes outbound traffic into your VPC. You can enable or disable the VPC egress option using the Amazon OpenSearch Service console, AWS CLI, or the CreateDomain and UpdateDomainConfig API operations. VPC egress is now supported in all AWS Regions where Amazon OpenSearch Service is available. To get started, refer to Routing domain egress traffic through your VPC.

Warning, quite lengthy for average posts in this sub, this is my first post on reddit to share my situation, not in environment for daily EN exposure so expect some errors in my writing (Q as abbr for Question) Passed DOP-C02, ofc with this score range I had very negative feeling when walked out of exam room. Exact feeling when I walked out of SAA room last year Bit background: .NET MVC dev with ~2y of exp. NO hands-on AWS Exp at company. NO daily devops exposure, docker below basic, "what is" Kubernetes, no CI/CD familiarity like GitLab, jenkins (yup can bash me, I accept my low profile) Going on DOP to raise company's cert allowance and prep for future job hopping opportunity too. Material: 1. Cantrill DOP course. I did read and knew about his drama, but still took a shot, bought on 60% sale with 40$. I chose it since it did give me broader AWS knowledge beyond the DOP scope, so ofc it's not focused on exam prep. I see he did re-record some of his videos. 2. Tutorial Dojos (TD) DOP set, a KEY differentiator, as seen in some past post that few Q in real exam did match exactly in Jon's mock, for difficulty I would say real exam is minorly harder, there are ~15 Q which spans entire vertical screen and some even overflowed, I still vote TD set as a platinum reference, especially if you are not having daily exposure on AWS. You can abandon Cantrill/Maarek course, but I did recommend to expose every TD item inside, at least once is OK, timed mode, review mode, section based, can skim flashcard part 1 and skip part 2, no need to 100% pass I only grind all timed mode set once, failed all, but still going anyway, ways to study this mock set has been discussed quite clear if you surf this sub frequently 3. Claude pro 😄 + I ask it when Cantrill slides are somewhat hard to follow + I make it "cook up" some complex hands on labs to let me get familiar more with services on console, yes sometimes I need to swear at it 🙂 + I made it generate ~22 guides on distinct services, more focus on DOP context, use opus 4.7 + AWS MCP doc + instruct it to validate official docs + search web to make content as less mistake/hallu/deprecated/outdated as possible, I encourage you if learning with AI, always ask follow-ups to understand services better (will drop the html visual guide prompt format if asked) + Even stated above as distinct guides, I do instruct Claude to chain them in other services which could come commonly in DOP context, I encountered very few Q in exam that ask only about 1 specific service, most of them are scenario-based Q with huge chain, answers listing 4-5 services as steps to resolve the scenario Core services: (at least as I encountered in real exam, yours can vary, like have few Q for Macie or Rekognition) - Cloudformation - Config - System Manager (SSM) - Secret Manager - Organization/Control Tower - CloudTrail - Cloudwatch - ECR/ECS/EKS - CodeSuite (Heavy CodePipeline, CodeBuild, CodeDeploy, CodeArtifact as expected, no mention on CodeCommit & CodeGuru, but worth some lookup time) Less common, ofc chained in scenarios: - S3 - EC2 - ALB/NLB/IGW/VPC endpoints - CloudFront - EventBridge - Lambda - Route53 - SNS/SQS - Beanstalk - Kinesis - X-ray - KMS - DynamoDB/Aurora/RDS (did have DocumentDB but mentioned only once as distractor) - Inspector/Guarduty/Health (I encountered no Detective mention) Mentioned very few: - Step Functions (only mentioned 1-2, more like distractor) - QuickSight - Redshift - Glue - FSx/EFS - FIS 🙂 (It DID appear in 1 Q, chained with CodeBuild, can skip if no plan for 1000) Personal experience in exam: - I took exam on around 9:20 AM, breakfast with 2.5 redbull cans - Not too nervous when encountering first couple of Q, but did discouraged in around 40~50th Q, lengthy Qs just keep showing up, I tried instinct mode to pass this stage. - Gone through all 75 Q when 60min remaining, with 29 FLAGGED Q 🙂 Exclusion method not enough since these flagged Q usually leave me with 2 seems both correct with 50/50 case - First review round with flagged, down to 18 Q in 30 min left, (stomach start growling stronger, feeling colder in exam room) - Skim through all 75 Q for around 20 mins - Focus on 18 flagged on 10 mins left, cannot review 1 last flag => Walked out accepting my destiny to lose $165 AND 50% voucher (and no plan to retake even if having discount) After exam experience: Texted my mentor about exam difficulty He encouraged me that I should have more faith Go home, skip lunch, nap And yeah, cannot describe feeling when score report appeared as pass when I periodically f5 on aws cert dashboard like a zombie (~5h after exam). Same 43 points above passing (SAA I scored 763) Time prepared: - After SAA pass on May last year, I did target DOP, but after some online search I decided to go around and start DVA first with Maarek course (did use Maarek + TD for SAA), but not serious and consistent like SAA prep (~2 months), abandoned on Nov with 60%, no plan to schedule DVA - Purchased Cantrill DOP course on 50% sale (most of the time sale is 50%, but rarely you can catch 60% off). Also in first 3 months I watch videos and practicing hands-on not serious and consistent - On beginning of March, when course is 50%, I start full focus prep mode, being more consistent and spent more time on weekdays and weekends - Book exam, chose morning cause last year I book SAA I go on afternoon around 2PM, and it rained very heavy, small disadvantage with even colder exam room 🙂 - Abandon Cantrill course on 96%. And last 3 weeks I paired with Claude and TD set, day by day gone grinding guides and mocks endlessly - I took last week fully off (only sacrifice 3 annual leaves since this is holiday phase), instead of enjoying holiday or going outside, I stayed at home alone try hard ~8h/day (only when my colleagues ask that I knew I'm growing older in only 1 holiday week xD) My advice For next first-time DOP examinees: - Prepare well, a stated in some post, this exam is not a joke, if you pity your potential lost exam fees then try at peak performance to worth that money you spent - Have faith, don't walk out of exam room regretting that you didn't try your best. Pass or fail, you took the Pro level exam, that alone worth the praise Sharing my advice here so some of you can reference what it could look like to prep for DOP exam, not served as textbook ref, could be more helpful for those with no daily DevOps/Cloud exposure like me ---------- P/s: Exam content sharing done, now allow me to spare a bit remaining space to ask back about my next steps and career advice, may be this is not a suitable sub to gather advice, but it didn't kill so why not: Sooner or later, I will have to get familiar fast with DevOps/Cloud aspect to live up to my badge (and to not be marked as cert chaser), what recommendations/materials/courses I can start with? Assume I will start with DevOps nearly fresh, did ref some materials like roadmap.sh but want more of your guys opinions from real experience. Ofc I knew myself that personal projects must be weighted too. (Option to ask my boss for DevOps switch is nearly impossible since tasks like these are extremely few in my company) I do aim to evolve to Architect, should I start leaning more on microservice (.NET) and auto test (my current working project is monolith and not considered big enough to start caring on microservice factors, and yup there are manual testers in my project, so not much space for auto test, AND project deployed on IIS, so no room for cloud either), or I drive to frontend side like Angular, Typescript (I did MVC so I knew vanilla html, css, for js I used jquery), learn Go as second backend language? Thank you for reading to this line. Have a nice day. submitted by /u/Curious-Chip6271 [link] [comments]

AWS Site-to-Site VPN now supports modifying tunnel bandwidth between standard (up to 1.25 Gbps) and large (up to 5 Gbps) on existing connections, making it easier to update your VPN connections’ bandwidth per your organization’s need. Previously, changing tunnel bandwidth required deleting and recreating the connection, which generated new tunnel IP addresses and meant updating your on-premises VPN device configuration and firewall rules. With this launch, tunnels are upgraded while preserving your IP addresses, CIDR blocks, pre-shared keys, and all configuration settings, eliminating the need to make any changes to your on-premises device. This feature is available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California), AWS GovCloud (US-West), Europe (Frankfurt, London, Paris, Spain, Stockholm), Asia Pacific (Hong Kong, Hyderabad, Jakarta, Malaysia, Mumbai, New Zealand, Osaka, Seoul, Sydney, Taipei, Thailand, Tokyo), Africa (Cape Town), Mexico (Central), and South America (São Paulo). To learn more and get started, visit the AWS Site-to-Site VPN documentation.

submitted by /u/Human-Blueberry1917 [link] [comments]

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) P6-B200 instances accelerated by NVIDIA Blackwell GPUs are available in AWS GovCloud (US-West) Region. These instances offer up to 2x performance compared to P5en instances for AI training and inference. P6-B200 instances feature 8 Blackwell GPUs with 1440 GB of high-bandwidth GPU memory and a 60% increase in GPU memory bandwidth compared to P5en, 5th Generation Intel Xeon processors (Emerald Rapids), and up to 3.2 terabits per second of Elastic Fabric Adapter (EFAv4) networking. P6-B200 instances are powered by the AWS Nitro System, so you can reliably and securely scale AI workloads within Amazon EC2 UltraClusters to tens of thousands of GPUs. P6-B200 instances are now available in p6-b200.48xlarge size in the following AWS Regions: US West (Oregon), US East (N. Virginia, Ohio) and AWS GovCloud (US-West). To learn more about P6-B200 instances, visit Amazon EC2 P6 instances.

Amazon Bedrock AgentCore Runtime now supports bring-your-own file system, enabling developers to attach their Amazon S3 Files and Amazon EFS access points directly to agent runtimes. AgentCore Runtime mounts the file system into every session at a path you specify, and your agent reads and writes files using standard file operations  - no custom mount code, no privileged containers, and no download orchestration before the agent can start working is needed. This complements the existing managed session storage (in public preview), which AgentCore Runtime can automatically provision. Bring-your-own file system is for the data you already own and want to share: skills, tool libraries, reference datasets, knowledge bases, and project files that should be available across sessions, across microVM lifecycles, or across multiple agents. Developers can mount an Amazon S3 Files file system to access data through both standard file operations and S3 APIs, with changes automatically synchronized between the file system and the S3 bucket. Alternatively, they can mount an Amazon EFS access point for a purpose-built, shared NFS file system. Both options deliver sub-millisecond latency for active data and support NFS close-to-open consistency. This unlocks patterns that were previously difficult to build. Agents can load shared skills, prompt templates, or curated datasets at session start without re-downloading at every new session initialization. Long-running workflows can persist intermediate results and resume work in future sessions. Multiple agents, or multiple sessions of the same agent, can collaborate on the same dataset, with one producing outputs that another consumes as inputs. To get started, developers provide an access point ARN, and the agent runtime must be configured with a VPC. Bring-your-own file system is available across all 15 AWS Regions where AgentCore Runtime is supported. For the full list, see Supported AWS Regions. To learn more, see File system configurations in AgentCore Runtime.

Starting today, Amazon Elastic Cloud Compute (Amazon EC2) P6-B300 instances are available in the US East (N. Virginia) Region. P6-B300 instances provide 8xNVIDIA Blackwell Ultra GPUs with 2.1 TB high bandwidth GPU memory, 6.4 Tbps EFA networking, 300 Gbps dedicated ENA throughput, and 4 TB of system memory. P6-B300 instances deliver 2x networking bandwidth, 1.5x GPU memory size, and 1.5x GPU TFLOPS (at FP4, without sparsity) compared to P6-B200 instances, making them well suited to train and deploy large trillion-parameter foundation models (FMs) and large language models (LLMs) with sophisticated techniques. The higher networking and larger memory deliver faster training times and more token throughput for AI workloads.  P6-B300 instances are now available in p6-b300.48xlarge size in the following AWS Regions: US West (Oregon), AWS GovCloud (US-East) and US East (N. Virginia). To learn more about P6-B300 instances, visit Amazon EC2 P6 instances.

Amazon ElastiCache now supports real-time hybrid search that combines vector similarity with full-text search in a single query, without a separate search service. Applications can combine semantic meaning with exact keyword matching that captures both intent and precise terms to deliver more relevant results than either method alone. Customers can use ElastiCache to combine full-text and vector similarity search across billions of embeddings from popular providers like Amazon Bedrock, Amazon SageMaker, Anthropic, and OpenAI with latency as low as microseconds and up to 99% recall. ElastiCache makes data searchable as soon as writes complete, so applications always search the most current vectors and text. Developers can use hybrid search to build AI agent memory and RAG systems that retrieve relevant context by exact terms and meaning to improve generative AI responses while reducing token costs. E-commerce and streaming platforms can use hybrid search to surface relevant matches, whether users search by exact product name, description, or both. ElastiCache for Valkey delivers the lowest latency vector search with the highest throughput and best price-performance at 95%+ recall rate among popular vector databases on AWS. Hybrid search is available in all commercial AWS Regions, AWS GovCloud (US) Regions, and China Regions, for node-based clusters running ElastiCache version 9.0 for Valkey at no additional cost. Valkey is the most permissive open source and vendor-neutral alternative to Redis and the recommended engine on ElastiCache. To get started, create a new Valkey 9.0 or above cluster or upgrade an existing cluster using the AWS Management Console, AWS SDK, or AWS CLI. To learn more, read this blog and see the ElastiCache documentation.

Amazon ElastiCache now supports real-time full-text, exact-match, and numeric range search directly in your cache without a separate search service. Applications can use ElastiCache to search terabytes of data with latency as low as microseconds and throughput up to millions of search operations per second. Developers can combine any of these search types in a single query to power real-time, scalable search across frequently changing data. ElastiCache makes data searchable as soon as writes complete, so applications always search the most current data. This is ideal for frequently updated datasets such as user session details, product inventory, and transaction records. Exact-match search enables instant lookup of records by precise values such as usernames, content IDs, or genres across streaming and gaming applications. Numeric range queries enable filtering by transaction amounts, date ranges, or player scores in financial applications and leaderboards. Developers can use full-text search with prefix, suffix, and fuzzy matching to power product discovery in e-commerce platforms, or combine search types to filter by category, price, and ratings. Full-text, exact-match, and numeric range search is available in all commercial AWS Regions, AWS GovCloud (US) Regions, and China Regions, for node-based clusters running ElastiCache version 9.0 for Valkey at no additional cost. Valkey is the most permissive open source and vendor-neutral alternative to Redis and the recommended engine on ElastiCache. To get started, create a new Valkey 9.0 or above cluster or upgrade an existing cluster using the AWS Management Console, AWS SDK, or AWS CLI. To learn more, read this blog and see the ElastiCache documentation. 

Amazon ElastiCache now supports aggregation queries, making it easier to filter, group, transform, and summarize data directly in your cache with a single query. Developers can use aggregation queries to build real-time application experiences with latencies as low as microseconds over terabytes of data and results reflecting completed writes. By running aggregations directly in-memory within ElastiCache, developers can reduce architectural complexity and improve response times without a separate analytics engine. Applications can use aggregations to power faceted navigation, category counts, rollups, and leaderboards. Applications can aggregate over the most up-to-date data to deliver real-time insights such as trending content, popular categories, and top-performing items in e-commerce marketplaces and streaming services. Aggregations can drive AI-powered personalization applications that need fast summaries over search results, and operational dashboards for live monitoring and business analytics. Aggregations are available in all commercial AWS Regions, AWS GovCloud (US) Regions, and China Regions, for node-based clusters running ElastiCache version 9.0 for Valkey at no additional cost. Valkey is the most permissive open source and vendor-neutral alternative to Redis and the recommended engine on ElastiCache. To get started, create a new Valkey 9.0 or above cluster or upgrade an existing cluster using the AWS Management Console, AWS SDK, or AWS CLI. To learn more, read the aggregations blog and see the ElastiCache documentation. 

Today, AWS Marketplace announces the Agreements API, enabling you to procure AWS Marketplace products and manage agreements programmatically. With this launch, you can generate estimates, accept offers, track charges and entitlements, update purchase orders and manage agreements all within your existing tools and workflows. Combined with the Discovery API, the Agreements API provides an end-to-end procurement journey from product discovery to purchase. You can integrate these APIs into your procurement systems to build custom workflows and streamline operations across your organization. Partners can also use these APIs to build custom storefronts that deliver unified procurement experiences for their customers.  The AWS Marketplace Agreements APIs is available in the US East (N. Virginia) Region. To get started, configure AWS Identity and Access Management (IAM) permissions for your AWS account and call the API through the AWS SDK. To learn more, see the AWS Marketplace Agreement APIs documentation.

Amazon Bedrock AgentCore Memory now supports metadata on long-term memory (LTM) records, enabling agents to tag, filter, and retrieve memories using structured attributes alongside semantic search. You can define up to ten indexed keys per memory resource - with support for STRING, NUMBER, and STRING_LIST types - and use different operator types to filter retrieval results. Metadata can be attached to events at ingestion time or inferred automatically by the LLM based on extraction instructions you define on the memory resource. During ingestion, the LLM processes all events and determines how metadata is applied to the resulting memory records. You define a metadata schema on the memory resource that includes indexed key definitions (key name, type, and optional allowed values) along with extraction instructions that guide the LLM on how to generate metadata from conversation content. With metadata filters on retrieval - agents can retrieve records by structured attributes like ticket number, priority, or date - eliminating irrelevant context and improving response accuracy. To get started, see the Amazon Bedrock AgentCore Memory documentation. This feature is available today in all AWS Regions where Amazon Bedrock AgentCore Memory is supported.

Amazon Neptune now offers 1-click connect capability, enabling you to quickly connect to Neptune Database and Neptune Analytics using CloudShell. Previously, connecting to Neptune resources required manual configuration network settings and access permissions, taking time from database administrators, developers, and data analysts who needed to query their graph databases. With 1-click connect, you can immediately start querying your Neptune resources without manual network configuration, significantly reducing setup time and technical complexity. This streamlined approach works across different network configurations, including VPC only resources. 1-click connect is particularly valuable for testing and development workflows, troubleshooting, and for customers new to Neptune who want to quickly explore and experiment with their graph data. 1-click connect is available at no additional charge in all regions where Amazon Neptune is currently offered. To learn more and how to get started, visit https://aws.amazon.com/neptune/.

I've been doing Infra/DevOps for about 3 years now, a lot of EKS, Serverless etc. When i was starting I was just given the opportunity to try it and I just studied as much as possible and managed to completely at this point now multiple projects as Infra engineer. How would me taking the certificate communicate to future employer? My purpose is to fill the gaps in my knowledge submitted by /u/monarchyofthedead [link] [comments]

AWS Elastic Beanstalk now supports TLS listeners for environments configured with a Network Load Balancer. You can configure a TLS listener with an SSL certificate and security policy, allowing the load balancer to handle secure connections and forward decrypted traffic to your instances. You can configure TLS listeners through the Elastic Beanstalk console or CLI.   Previously, Elastic Beanstalk did not support TLS listeners for NLB environments as a managed configuration option. With this launch, you can configure TLS listener settings directly through Elastic Beanstalk.   This feature is available in all AWS regions that support Elastic Beanstalk and Network Load Balancers.   To get started, see Configuring a Network Load Balancer in the AWS Elastic Beanstalk Developer Guide. For more information about SSL certificates and security policies, see the Elastic Load Balancing documentation.

Right now I am working in L2 Technical Support in ISP company One year experience so now I am looking for a job related to cloud support or junior cloud associate so I am very knowledge in a troubleshooting as a network engineer and I am going to directly do AWS saa . Is that ok to get a job in cloud roles submitted by /u/Full-Context-3089 [link] [comments]

AWS Elemental MediaTailor now enhances streaming ad personalization with support for trickplay features in HLS and DASH formats. This update also introduces compact DASH manifests for more efficient manifest delivery. Previously, these capabilities required a custom transcode profile. They are now supported natively through dynamic transcoding, eliminating that requirement. MediaTailor provides server-side ad insertion (SSAI) to personalize ads in video streams. As streaming platforms increasingly support trickplay navigation, ensuring that advertisements are properly transcoded with trickplay variants and associated image streams is critical for a seamless viewer experience. These variants must match the specifications of the origin content. With this update: Ad Trickplay Personalization: Trickplay personalization matching is now fully supported for both HLS and DASH workflows via dynamic transcoding. MediaTailor ensures that advertisements include trickplay variants and associated image streams that align with origin content specifications. This delivers a consistent experience when viewers fast-forward or rewind through content. A custom transcode profile is no longer required to enable this capability. Compact DASH Manifest Support: MediaTailor now supports compact DASH manifests via dynamic transcoding. This optimization elevates the SegmentTemplate element from individual Representation elements to the AdaptationSet level, reducing overall manifest size. Thise results ins more efficient manifest delivery and improved compatibility with players and workflows that rely on compact manifest structures. A custom transcode profile is no longer required to enable this capability.  AWS Elemental MediaTailor’s ad trickplay personalization and compact DASH manifest optimization are available in all AWS Regions where MediaTailor is available, including US East (Ohio), US East (N. Virginia), US West (Oregon); Africa (Cape Town); Asia Pacific (Hyderabad, Malaysia, Melbourne, Mumbai, Osaka, Seoul, Singapore, Sydney, Tokyo); Canada (Central); Europe (Frankfurt, Ireland, London, Paris, Stockholm); Middle East (UAE); and South America (São Paulo). There is no additional cost for this feature. To learn more, visit the AWS Elemental MediaTailor User Guide. 

Today, AWS is launching the Agent Toolkit for AWS, a production-ready suite of tools and guidance that helps AI coding agents build on AWS with fewer errors, lower token costs, and enterprise-grade security controls. The Agent Toolkit for AWS is the successor to the MCP servers, plugins, and skills available on AWS Labs. Developers using coding agents to build on AWS often find that their agents struggle with complex multi-service workflows, rely on outdated knowledge of AWS services, and are difficult to govern — leading to wasted time, wasted tokens, and a reluctance to deploy agents in production. The Agent Toolkit for AWS addresses these challenges through agent skills, a fully-managed MCP server, and easy-to-install plugins. Agent skills give agents validated, up-to-date procedures for tasks like authoring CloudFormation templates, configuring data pipelines, and building serverless applications — so agents follow best practices rather than improvising from general knowledge. Today, we are launching more than 40 skills across infrastructure-as-code, storage, analytics, serverless, containers, and AI services, and we plan to release more in the coming weeks: including for databases, networking, and IAM. Each skill has been rigorously evaluated to ensure that it helps agents complete tasks more accurately and reliably. The AWS MCP Server, now generally available, is a fully-managed MCP server that allows coding agents to interact with any AWS service. It offers IAM-based guardrails on which actions agents can perform, Amazon CloudWatch and AWS CloudTrail observability, and sandboxed code execution for multi-step operations. The AWS MCP server also equips agents with tools to efficiently search and retrieve documentation, so they always have the latest knowledge and guidance. Agent plugins bundle the AWS MCP server and curated sets of skills into a single install. Today, we are releasing three agent plugins: AWS Core, to help application developers build and manage full-stack applications on AWS, AWS Data Analytics, which helps data analysts and business intelligence engineers create data pipelines and load and query data, and AWS Agents, which helps AI engineers build production-ready agents using Amazon Bedrock AgentCore. The MCP servers, skills, and plugins available on AWS Labs will continue to be available, and over time the best of AWS Labs will be transitioned to the Agent Toolkit for AWS to ensure that customers can access the broadest array of tooling and guidance for their agents. The Agent Toolkit for AWS is available at no additional charge; you pay only for the AWS resources your agents use. To learn more, see Agent Toolkit for AWS. To get started, visit the Quick Start guide or browse the available skills and plugins on GitHub.

Today, AWS announces the general availability of the AWS MCP Server, a managed server that gives AI coding agents secure, auditable access to AWS services through the Model Context Protocol (MCP). The AWS MCP Server is a core component of the Agent Toolkit for AWS, which helps coding agents build on AWS more effectively. With the AWS MCP Server, organizations can let coding agents interact with AWS while maintaining visibility and control through IAM-based guardrails, Amazon CloudWatch metrics, and AWS CloudTrail logging. Since the preview launch at re:Invent 2025, the AWS MCP Server has added several capabilities. Agents can now call any AWS API through a single tool, including operations that require file uploads or long-running execution. Sandboxed script execution lets agents run Python code against AWS services for multi-step operations, without access to your local filesystem or shell tools. Agent skills replace agent SOPs with a more flexible format: agents discover and load curated guidance on demand, keeping context window usage low while providing tested procedures for complex tasks. Additionally, documentation search and skill discovery no longer require AWS credentials, removing a common barrier to getting started. The AWS MCP Server is available at no additional charge; you pay only for the AWS resources your agents use. To learn more, see Agent Toolkit for AWS. To get started, visit the Agent Toolkit for AWS Quick Start guide.