You can now split your tests and run them across multiple, parallel-running compute environments. Based on your sharding strategy, CodeBuild will divide your tests and run them across the specified number of parallel environments. AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces ready-to-deploy software packages. As the number of tests in a project grows, the total testing time also increases when using a single compute resource. Running tests in parallel across multiple compute resources reduces the overall testing duration in your CI/CD pipeline. This leads to faster feedback cycles and improved developer productivity. The parallel testing feature is available in all regions where CodeBuild is offered. For more information about the AWS Regions where CodeBuild is available, see the AWS Regions page. To learn more about CodeBuild’s test splitting, please visit our documentation. To learn more about how to get started with CodeBuild, visit the AWS CodeBuild product page.

Amazon S3 Tables are now available in five additional AWS Regions: Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Stockholm), and Asia Pacific (Tokyo). S3 Tables deliver the first cloud object store with built-in Apache Iceberg support, and the easiest way to store tabular data at scale. S3 Tables are specifically optimized for analytics workloads, resulting in up to 3x faster query performance through continual table optimization compared to unmanaged Iceberg tables, and up to 10x higher transactions per second compared to Iceberg tables stored in general purpose S3 buckets. S3 Tables integration with AWS Glue Data Catalog is in preview, allowing you to stream, query, and visualize data using AWS Analytics services such as Amazon Data Firehose, Athena, Redshift, EMR, and QuickSight. Additionally, S3 Tables perform continual table maintenance to automatically expire old snapshots and related data files to reduce storage cost over time. S3 Tables are now generally available in eight AWS Regions. For pricing details, visit the S3 pricing page. To learn more, visit the product page, documentation, and AWS News Blog.

Amazon Connect outbound campaigns can now be configured to connect a customer who has picked up a campaign call to an available agent in under two seconds while also supporting automatic call classification. This enhancement helps organizations support regulatory compliance with telemarketing laws such as the U.S. Telephone Consumer Protection Act (TCPA), while increasing customer engagement and agent productivity. Call classification automatically categorizes the outcome of a call using machine learning (ML), rather than requiring agent input, helping improve agent productivity and drive efficient customer engagement. To optimize outbound call performance, customers are encouraged to follow Amazon Connect's best practices to reduce connection latency. With Amazon Connect outbound campaigns, companies only pay-as-they-go for outbound campaigns processing and for associated channels usage. Amazon Connect outbound campaigns is available in US East (N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Sydney), Canada (Central), Europe (Frankfurt) and Europe (London) AWS regions. To learn more, visit our webpage.

Amazon Redshift extends support for Hexagonal Hierarchical Geospatial Indexing System, H3 for short, by adding two new H3 functions to Amazon Redshift’s previously announced H3 Indexing support in February 2024. H3 Indexing increases the performance of spatial queries at scale since the location information is pre-indexed. See this Amazon Big Data Blog on Amazon Redshift H3 Indexing for more information on the benefits and use-cases of H3 Indexing. H3_Center returns the centroid of an H3 cell ID from an input index, which can be used to compute the geometric center of an arbitrary area that can be represented by H3 indexed cells, for example by finding the H3 cell with the smallest average distance to all other cells in the set representing the arbitrary area. While, H3_Boundary returns the boundary of an H3 cell ID from an input index. With this announcement, Amazon Redshift now supports two new H3 Indexing related spatial functions: H3_Center, H3_Boundary, which are now available in all AWS regions where Amazon Redshift is available. For more information or to get started with Amazon Redshift spatial analytics, see the documentation and the tutorial.

Amazon Connect now offers the ability to maintain an open communication channel between your agents and Amazon Connect, helping reduce the time it takes to establish a connection with a customer. Contact center administrators can configure an agent’s user profile to maintain a persistent connection after a conversation ends, allowing for subsequent calls to connect faster. Amazon Connect persistent agent connection makes it easier to support compliance requirements with telemarketing laws such as the U.S. Telephone Consumer Protection Act (TCPA) for outbound campaigns’ calling by reducing the time it takes for a customer to connect with your agents. Amazon Connect persistent connection preview is now available in all AWS regions where Amazon Connect is offered, and there is no additional charge beyond standard pricing for the Amazon Connect service usage and associated telephony charges. To learn more, visit our product page or refer to our Admin Guide. Sign up for the preview here.  

Today, we are excited to announce that Amazon Connect screen recording is now available in AWS GovCloud (US-West), expanding its reach to government and public sector customers. This feature, which enables customers to record their agent screens during customer interactions for quality assurance purposes, was previously available in all commercial AWS regions where Amazon Connect is live. With this launch, we're bringing the same powerful capabilities to our AWS GovCloud (US) customers. Amazon Connect screen recording is a valuable tool for contact centers looking to enhance their quality assurance processes. By capturing agent desktop activities during customer interactions, supervisors and quality assurance teams can gain deeper insights into agent performance, adherence to procedures, and opportunities for improvement. This feature helps organizations maintain high standards of customer service, ensure compliance with regulations, and identify areas for agent training and development. To get started with Amazon Connect screen recording in AWS GovCloud (US-West) or any supported region, visit the Amazon Connect console or refer to our documentation. For more information about Amazon Connect and its features, please visit the Amazon Connect product page.  

AWS User Notifications is now supported on AWS CloudFormation, allowing you to easily provision and manage User Notification resources as part of your application's infrastructure-as-code (IaC). You can easily use User Notification to Configure Notifications to be sent via the Console Notifications Center, email, AWS Chatbot, or mobile push notifications to the AWS Console Mobile App to keep you informed about important events like Amazon CloudWatch Alarms. With this new capability, you can define Notification Configurations as part of your IaC practices. Specify notification configurations for specific resource types within your CloudFormation templates. For example, set up notifications to trigger when an Auto Scaling group scales out, an ELB is provisioned, or an RDS database is modified. You have granular control over which events will trigger notifications and who should receive them. This integration simplifies cloud operations by consolidating monitoring configuration right alongside your IaC templates. No more context switching between services - your notifications are defined declaratively within your infrastructure code. Setting up stack notifications is easy - just add the Notifications or NotificationContacts resource type (e.g., AWS::Notifications::NotificationConfiguration) in your CloudFormation template to configure the desired events and channels. For more information, visit the Notifications and NotificationsContacts resource type reference. To learn more about User Notifications, visit the product page and documentation.  

Developers can now use the AWS Encryption SDK for Go to help protect their data. This open-source release makes it easier for developers to encrypt and decrypt their data when building applications using the Go programming language. The AWS Encryption SDK is a client-side encryption library designed to make it easy to encrypt and decrypt data based on industry standards and best practices. The AWS Encryption SDK is available in multiple languages and all implementations of the SDK are interoperable, allowing you to encrypt data in one programming language and decrypt it with any other. The AWS Encryption SDK is developed under open source projects on GitHub where you can inspect the code and contribute to the project. You can get started by visiting the AWS Encryption SDK for Go on GitHub. To learn more, see What is AWS Encryption SDK in the developer guide.  

AWS CodePipeline now offers an enhanced debugging experience in the AWS Management Console, enabling you to identify and resolve pipeline failures more efficiently. The new debugging interface introduces a dedicated debugging page, accessible through the left navigation bar's "Action details" button. This page presents a simplified pipeline view with execution and action details displayed in a side panel. This streamlined layout allows you to easily monitor the pipeline process and quickly debug action failures. This feature is now available in all AWS Regions where CodePipeline is supported, excluding AWS GovCloud (US) Regions and China Regions. For more information about AWS CodePipeline, visit our product page.

Today, AWS announces multi-session support, which enables AWS customers to access multiple AWS accounts simultaneously in the AWS Console. AWS Customers can sign-in to up to 5 sessions in a single browser, and this can be any combination of root, IAM, or federated roles in different accounts or in the same account. Customers scale their applications using multiple accounts following AWS best-practice guidelines. They use accounts for different environments such as development, testing, production, and compare resource configurations and statuses across multiple accounts for troubleshooting application issues and other application related jobs. Using multi-session capability in the AWS Console, customers can now sign-in to multiple AWS accounts and manage their resources in a single browser. Multi-session support is available in all Commercial Regions. Try it today by signing in to the AWS Console, selecting the account menu, and selecting “Turn on multi-session”. You can opt out at any time from the account menu. Visit AWS Console documentation to learn more.

Amazon Connect Contact Lens dashboards now allow you to define widget level filters and groupings, re-order and re-size columns, and delete or add new metrics. With these dashboards, you can view and compare real-time and historical aggregated performance, trends, and insights using custom-defined time periods (e.g., week over week), summary charts, time-series chart, etc. Now, you can further customize specific widgets to create dashboards that best fit your business needs. For example, you can create a single line chart that combines contacts queued, average queue answer time, and abandoned contacts, filtered for your most important queues, so you can quickly see how increasing contact volumes impact both wait time and customer abandonment rates. These dashboards are available in all commercial AWS regions where Amazon Connect is offered. To learn more about dashboards, see the Amazon Connect Administrator Guide. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website.  

Amazon GuardDuty is now available in the Asia Pacific (Malaysia) Region. You can now use this additional Region to continuously monitor and detect anomalous behavior, security threats, and sophisticated multi-stage attack sequences targeting your AWS accounts to help protect your AWS accounts, workloads, and data. Tens of thousands of customers across many industries and geographies use GuardDuty. GuardDuty can identify unusual or unauthorized activity like cryptocurrency mining, access to data stored in Amazon Simple Storage Service (Amazon S3) from unusual locations, or unauthorized access to Amazon Elastic Kubernetes Service (Amazon EKS) clusters. GuardDuty Malware Protection adds file scanning for workloads using Amazon Elastic Block Store (Amazon EBS) volumes or Amazon S3 to detect the presence of malware. GuardDuty continually evolves its techniques to identify indicators of compromise, such as regularly updating machine learning (ML) models, adding new anomaly detections, and growing integrated threat intelligence to identify and prioritize potential threats to your AWS resources. You can begin your 30-day free trial of Amazon GuardDuty with a single click in the AWS Management Console. To receive programmatic updates on new GuardDuty features and threat detections, subscribe to the Amazon GuardDuty SNS topic.  

Amazon Connect Contact Lens now offers a new dashboard that lets you monitor real-time agent activity and take immediate actions such as listen-in to a contact, barge (take over) a contact, or change an agent state in a few clicks from a single interface. With this dashboard, you can view and compare real-time and historical aggregated performance, trends, and insights using custom-defined time periods (e.g., week over week), summary charts, time-series chart, etc. Now, you can track how long an agent has been on after contact work, color code time in specific statuses, and listen into live contacts that need immediate attention. For example, you can automatically highlight in red if an agent is an error state to give a quick visual indicator of where agents might need additional help to change their status back to available. This dashboard is available in all commercial AWS regions where Amazon Connect is offered. To learn more about dashboards, see the Amazon Connect Administrator Guide. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website.  

AWS announces the general availability of two new larger sizes (12xlarge and 16xlarge) on Amazon EC2 Flex (C7i-flex, M7i-flex) instances. The new sizes expand the EC2 Flex portfolio, providing additional compute options to scale-up existing workloads or run larger sized applications that need additional memory. These instances are powered by custom 4th Gen Intel Xeon Scalable processors, that are available only on AWS, and offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers. Flex instances are the easiest way to get price performance benefits and lower prices for a majority of compute-intensive and general-purpose workloads. They deliver up to 19% better price performance than comparable previous generation instances and are a great first choice for applications that do not fully utilize the compute resources. Flex instances are ideal for web and application servers, batch processing, enterprise applications, databases, and more. For compute-intensive and general-purpose workloads that need even larger instance sizes (up to 192 vCPUs and 768 GiB memory) or continuous high CPU usage, you can leverage Amazon EC2 C7i and M7i instances. The new C7i-flex sizes are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Europe (Frankfurt, Ireland, London, Paris, Spain, Stockholm), Canada (Central), Asia Pacific (Malaysia, Mumbai, Singapore, Sydney, Tokyo), South America (São Paulo), and AWS GovCloud (US-West). The new M7i-flex sizes are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Europe (Frankfurt, Ireland, Paris, Spain, Stockholm), Canada (Central), Asia Pacific (Malaysia, Mumbai, Singapore, Sydney, Tokyo), South America (São Paulo), and AWS GovCloud (US-East, US-West).  

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8g instances are available in AWS Asia Pacific (Sydney) and AWS Europe (Spain) regions. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 R8g instances are ideal for memory-intensive workloads such as databases, in-memory caches, and real-time big data analytics. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. AWS Graviton4-based R8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 1.5TB) than Graviton3-based R7g instances. These instances are up to 30% faster for web applications, 40% faster for databases, and 45% faster for large Java applications compared to AWS Graviton3-based R7g instances. R8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). To learn more, see Amazon EC2 R8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.  

AWS Resource Explorer now supports 29 more resource types across all AWS commercial Regions from services including Amazon FSx, Amazon Route 53, and AWS Glue. With this release, customers can now search for the following resource types in AWS Resource Explorer: acm:certificate codepipeline:webhook comprehend:document-classifier comprehend:entity-recognizer databrew:job databrew:project dataexchange:data-sets dms:es dms:subgrp elasticmapreduce:cluster emr-containers:virtualclusters frauddetector:external-model frauddetector:model fsx:file-system glacier:vaults glue:crawler greengrass:connectorsDefinition greengrass:coresDefinition greengrass:devicesDefinition greengrass:functionsDefinition greengrass:loggersDefinition greengrass:resourcesDefinition greengrass:subscriptionsDefinition mq:broker route53:domain ses:contact-list ses:configuration-set ses:identity storagegateway:gateway To view a complete list of all supported types, see the supported resource types page.

Starting today, Amazon EC2 I8g instances are available in Europe (Frankfurt) region. I8g instances offer the best performance in Amazon EC2 for storage-intensive workloads. I8g instances are powered by AWS Graviton4 processors, delivering up to 60% better compute performance compared to previous generation I4g instances. I8g instances use the latest third generation AWS Nitro SSDs, local NVMe storage that deliver up to 65% better real-time storage performance per TB while offering up to 50% lower storage I/O latency and up to 60% lower storage I/O latency variability. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software enhancing the performance and security for your workloads. I8g instances offer instance sizes up to 24xlarge, 768 GiB of memory, and 22.5 TB instance storage. They are ideal for real-time applications like relational databases, non-relational databases, streaming databases, search queries and data analytic. To learn more, see Amazon EC2 I8g instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.  

Hi everyone, I’m developing a project and need advice on how to configure AWS to deploy my machine learning workflow efficiently and affordably. Project Overview: I’ve trained an ML model to predict video performance by analyzing: Textual elements (OCR from video frames) Audio elements (transcription from video audio) Visual elements (embeddings using SlowFast for video features) Proposed Workflow: Video Upload: A user uploads a video via an API Gateway endpoint. S3 Storage: The video is stored in an S3 bucket. Step Functions: The bucket triggers a Step Function, which coordinates: Lambda 1: Preprocess the video. Lambda 2: Extract and analyze text (OCR). Lambda 3: Extract and transcribe audio. Lambda 4: Extract visual features. ML Inference: The results are combined and sent to the ML model for prediction. Output: A JSON file with predictions and metadata is returned. The Problem: I’ve run into size limitations with Lambda. For example: My textual pipeline uses EasyOCR, which requires heavy dependencies like PyTorch and OpenCV, exceeding the 250 MB deployment package limit for Lambda. My audio pipeline uses Whisper and FFmpeg, which are similarly large. My visual pipeline uses SlowFast, another resource-intensive framework. Potential Solution: I’m considering using Amazon EFS to mount these heavy dependencies (e.g., PyTorch, Whisper, EasyOCR, joblib, etc.) into my Lambda functions. This way, I wouldn’t need to include them in the deployment package. Questions: Would this workflow with EFS for dependencies be efficient and scalable? Is there a better alternative for handling these heavy dependencies? Should I consider offloading specific steps (e.g., SlowFast processing) to Amazon SageMaker or AWS Batch instead? Are there other best practices I should consider for this kind of setup? Any suggestions to improve this workflow or tackle the dependency issue would be MUCH appreciated! Thank you in advance. Hi everyone, I’m developing a project and need advice on how to configure AWS to deploy my machine learning workflow efficiently and affordably. Project Overview: I’ve trained an ML model to predict video performance by analyzing: Textual elements (OCR from video frames) Audio elements (transcription from video audio) Visual elements (embeddings using SlowFast for video features) Proposed Workflow: Video Upload: A user uploads a video via an API Gateway endpoint. S3 Storage: The video is stored in an S3 bucket. Step Functions: The bucket triggers a Step Function, which coordinates: Lambda 1: Preprocess the video. Lambda 2: Extract and analyze text (OCR). Lambda 3: Extract and transcribe audio. Lambda 4: Extract visual features. ML Inference: The results are combined and sent to the ML model for prediction. Output: A JSON file with predictions and metadata is returned. The Problem: I’ve run into size limitations with Lambda. For example: My textual pipeline uses EasyOCR, which requires heavy dependencies like PyTorch and OpenCV, exceeding the 250 MB deployment package limit for Lambda. My audio pipeline uses Whisper and FFmpeg, which are similarly large. My visual pipeline uses SlowFast, another resource-intensive framework. Potential Solution: I’m considering using Amazon EFS to mount these heavy dependencies (e.g., PyTorch, Whisper, EasyOCR, joblib, etc.) into my Lambda functions. This way, I wouldn’t need to include them in the deployment package. Questions: Would this workflow with EFS for dependencies be efficient and scalable? Is there a better alternative for handling these heavy dependencies? Should I consider offloading specific steps (e.g., SlowFast processing) to Amazon SageMaker or AWS Batch instead? Are there other best practices I should consider for this kind of setup? Additionally, I know that slowfast will require a GPU, and whisper and easyOCR could benefit from them as well. I know of both SageMaker and EC2, I am a small startup funding everything myself, so what would be the best option to balance performance and cost for this? Any suggestions to improve this workflow or tackle the dependency issue would be MUCH appreciated! Thank you in advance. Edit: Forgot about GPU question oops. submitted by /u/StrictFlight3115 [link] [comments]

Today, AWS Partner Central announces the general availability of Partner Connections, which allows AWS Partners to discover and connect with other Partners for collaboration on shared customer opportunities. With Partner Connections, Partners can co-sell joint solutions, accelerate deal progression, and expand their reach by teaming with other AWS Partners. At the core of Partner Connections are two key capabilities: connections discovery and multi-partner opportunities. The connections discovery feature uses AI-powered recommendations to streamline Partner matchmaking, making it easier for Partners to find suitable collaborators and add them to their network. With multi-partner opportunities, Partners can work together seamlessly to create and manage joint customer opportunities in APN Customer Engagements (ACE). This integrated approach allows Partners to work seamlessly with AWS and other Partners on shared opportunities, reducing the operational overhead of managing multi-partner opportunities. Partners can also create, update, and share multi-partner opportunities using the Partner Central API for Selling. Our CRM integration Partners can also enable this capability, allowing their customers to collaborate with other Partners and AWS on joint sales opportunities from their own customer relationship management (CRM) system. Partner Connections is available to all eligible AWS Partners who have signed the ACE Terms and Conditions and have linked their AWS account to their Partner Central account. To get started, log in to AWS Partner Central and review the ACE user guide for more information.  

AWS Elastic Beanstalk is expanding its Spot allocation strategy options to include capacity-optimized-prioritized, lowest-price and price-capacity-optimized, in addition to the existing default capacity-optimized strategy. AWS Elastic Beanstalk is a service that provides the ability to deploy and manage applications in AWS without worrying about the infrastructure that runs those applications. Customers can now enjoy additional allocation strategy options for Spot instances on Elastic Beanstalk such as capacity-optimized-prioritized, lowest-price, and price-capacity-optimized strategies. The capacity-optimized-prioritized strategy allows users to prioritize instance types while still focusing on available capacity, ideal for workloads with specific instance preferences. The lowest-price strategy requests your Spot Instances using the lowest priced pools to maximize cost savings. The price-capacity-optimized strategy balances both price and capacity availability, offering a middle ground for users seeking to optimize costs without compromising too much on the likelihood of interruptions. These strategies are available in commercial regions where Elastic Beanstalk is available including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions. For more information on Spot allocation strategies and Elastic Beanstalk please see our developer guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.  

Today, Amazon ElastiCache announces support for Service Quotas. This enhancement provides customers with improved visibility and control over their ElastiCache service quotas, streamlining the quota management process and reducing the need for manual interventions. With Service Quotas, customers can now view and manage their ElastiCache quota limits directly through the AWS Service Quotas console. This integration enables automated limit increase approvals for eligible requests, improving response times and reducing the number of support tickets. Customers will also benefit from visibility into quota usage for all on-boarded quotas via Amazon CloudWatch usage metrics, allowing for better resource planning and management. Service Quotas for ElastiCache is available in all commercial regions and the AWS GovCloud (US) Regions. To learn more about Service Quotas and how to manage your ElastiCache quotas, visit the Service Quotas User Guide or the Amazon ElastiCache product page.

Today, Amazon MSK announced the availability of four additional instance sizes of Graviton3-based M7g instances for Express Brokers. With this launch, you now have seven different instance sizes to choose from to host Express Brokers in Amazon Managed Streaming for Apache Kafka (Amazon MSK), ranging from large to 16xlarge. Express brokers are a new broker type for Amazon MSK Provisioned designed to deliver up to 3x more throughput per broker, scale up to 20x faster, and reduce recovery time by 90% as compared to standard Apache Kafka brokers. Express brokers come preconfigured with Kafka best practices by default, support all Kafka APIs, and provide the same low-latency performance that Amazon MSK customers expect, so they can continue using existing client applications without any changes. Learn more here.  

Today, Amazon MemoryDB announces support for Service Quotas. This enhancement provides customers with improved visibility and control over their MemoryDB service quotas, streamlining the quota management process and reducing the need for manual interventions. With Service Quotas, customers can now view and manage their MemoryDB quota limits directly through the AWS Service Quotas console. This integration enables automated limit increase approvals for eligible requests, improving response times and reducing the number of support tickets. Service Quotas for MemoryDB is available in all commercial regions and the AWS GovCloud (US) Regions where MemoryDB is available. To learn more about Service Quotas and how to manage your MemoryDB quotas, visit the Service Quotas User Guide or the Amazon MemoryDB product page.

Today, AWS is announcing the availability of AWS Backup Audit Manager support for cross-account, cross-Region reports in the AWS GovCloud (US) Regions. Now, you can use your AWS Organizations’ management or delegated administrator account to generate aggregated cross-account and cross-Region reports on your data protection policies and retrieve operational data about your backup and recovery activities. AWS Backup enables you to centralize and automate data protection policies across AWS services based on organizational best practices and regulatory standards, and AWS Backup Audit Manager is a feature within the AWS Backup service that allows you to audit and report on the compliance of your data protection policies to help you meet your business and regulatory needs. AWS Backup Audit Manager is available today in the US East (Ohio, N. Virginia), US West (N. California, Oregon), Canada (Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Stockholm), South America (Sao Paulo), Africa (Cape Town), Asia Pacific (Hong Kong, Mumbai, Osaka, Seoul, Singapore, Sydney, Tokyo), Middle East (Bahrain), and AWS GovCloud (US-East, US-West) Regions. To learn more about AWS Backup Audit Manager, visit the product page and documentation. To get started, visit the AWS Backup console.  

We are excited to announce that Amazon OpenSearch Serverless is expanding availability to the Amazon OpenSearch Serverless to Asia Pacific (Hong Kong) region. OpenSearch Serverless is a serverless deployment option for Amazon OpenSearch Service that makes it simple to run search and analytics workloads without the complexities of infrastructure management. OpenSearch Serverless’ compute capacity used for data ingestion, search, and query is measured in OpenSearch Compute Units (OCUs). To control costs, customers can configure maximum number of OCUs per account. Please refer to the AWS Regional Services List for more information about Amazon OpenSearch Service availability. To learn more about OpenSearch Serverless, see the documentation.

AWS Marketplace now supports the collection of Swiss Value Added Tax (VAT) on sales by Independent Software Vendors (ISVs) to customers located in Switzerland. This allows ISVs registered for Swiss VAT to simplify and streamline their tax operations on AWS Marketplace in Switzerland. In addition, AWS Marketplace now supports Multiple Tax Profiles for Switzerland, a new feature that enables ISVs to associate multiple VAT registrations with a single seller account. These features make it easier for global ISVs to do business in Switzerland by simplifying their tax management. With this launch, ISVs will no longer be required to manually manage the Swiss VAT for their sales in Switzerland. ISVs can now also add a new supplemental Swiss VAT registration number to their seller account which will be taken into account in connection with their sales to customers in Switzerland. AWS Marketplace will calculate, collect and remit the Swiss VAT to the ISVs, and provide a detailed tax report to help ISVs meet their tax obligations. Tax Collection for Switzerland is available for all ISVs registered with Swiss VAT and when transacting via the AWS Europe, Middle East, and Africa (EMEA) Marketplace Operator. For Multiple Tax Profiles, ISVs can opt-in to add, update, view and manage their supplemental Swiss VAT registration associated with their account using the AWS Marketplace Management portal or the API operations for Tax Settings. To learn more, please visit the AWS Marketplace Seller Guide.  

AWS announces GeneralPurpose.4xlarge and GeneralPurpose.8xlarge bundles for Amazon WorkSpaces Personal and Amazon WorkSpaces Core, providing customers with powerful cloud desktops for resource-intensive Windows workloads. GeneralPurpose.4xlarge bundles offer 16vCPUs and 64 GB RAM, while GeneralPurpose.8xlarge bundles provide 32vCPUs and 128 GB RAM. Both bundles include a 175GB root volume and a 100GB user volume and are available on WorkSpaces Personal and WorkSpaces Core. These new large bundles are designed to allow developers, scientists, financial analysts, and engineers to run demanding applications with ease. Developers can handle large compilation and development tasks with tools like Visual Studio, IntelliJ, and Eclipse, while engineers and scientists can run complex simulations with MatLab, GNU Octave, R, and Stata. With pay-as-you-go pricing and on-demand scaling, these bundles offer an efficient alternative to costly physical workstations. The new General Purpose bundles are available today in AWS Regions where WorkSpaces Personal and WorkSpaces Core are offered, except Africa (Cape Town) and Israel (Tel Aviv). They support Windows Server 2022 and Windows 11 through BYOL options. You can launch these bundles through the Amazon WorkSpaces Console, or via APIs. To get started, sign in to the Amazon WorkSpaces Management Console. For pricing details, visit Amazon WorkSpaces Personal pricing or Amazon WorkSpaces Core pricing.

AWS Elemental MediaTailor now lets you filter which logs you want to capture. You can choose specific log types like Ad Server Interactions or individual events like Ad Server Responses, helping reduce costs and complexity by only collecting the data you need. To enable this feature, you add filtering parameters to your session requests to customize logging for each playback session. Please see the MediaTailor User Guide for further details. Visit the AWS region table for a full list of AWS Regions where AWS Elemental MediaTailor is available. To learn more about MediaTailor, please visit the product page.  

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i-flex instances that deliver up to 19% better price performance compared to C6i instances, are available in the AWS GovCloud (US-West) Region. C7i-flex instances expand the EC2 Flex instances portfolio to provide the easiest way for you to get price performance benefits for a majority of compute intensive workloads. The new instances are powered by the 4th generation Intel Xeon Scalable custom processors (Sapphire Rapids) that are available only on AWS, and offer 5% lower prices compared to C7i. C7i-flex instances offer the most common sizes, from large to 8xlarge, and are a great first choice for applications that don't fully utilize all compute resources. With C7i-flex instances, you can seamlessly run web and application servers, databases, caches, Apache Kafka, and Elasticsearch, and more. For compute-intensive workloads that need larger instance sizes (up to 192 vCPUs and 384 GiB memory) or continuous high CPU usage, you can leverage C7i instances. C7i-flex instances are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Europe (Frankfurt, Ireland, London, Paris, Spain, Stockholm), Canada (Central), Asia Pacific (Malaysia, Mumbai, Seoul, Singapore, Sydney, Tokyo), South America (São Paulo) and AWS GovCloud (US-West). To learn more, visit Amazon EC2 C7i-flex instances.  

Today's launch extends the abilities of Amazon Q Developer to access CloudZero's cloud cost optimization platform without leaving the AWS Management Console. Administrators on the Q Developer Pro Tier can enable the new CloudZero plugin in the AWS Management Console by configuring the credentials to access these third party services. Builders can now easily get cost insights, billing information and learn more about CloudZero directly in the console using Q Developer. For example, customers can ask about insights and cost information using natural language by asking “@cloudzero list my top cost insights”. When working with Amazon Q Developer in the AWS Management Console, prefix your questions with “@cloudzero”. Q Developer will call out to CloudZero’s APIs, assemble a natural language response, and return a summary with deep links to CloudZero. Access to CloudZero information directly in the Console allows builders avoid context switching and deep links let them investigate further as needed. CloudZero is a leader in proactive cloud cost efficiency, enabling engineers to build cost-efficient software without slowing down innovation. CloudZero’s next-generation cloud cost optimization platform automates the collection, allocation, and analysis of cloud costs to uncover savings opportunities and improve unit economics. CloudZero enables companies to understand their operational cloud spend and take an engineering-led approach to optimizing that spend. To learn more about Amazon Q Developer, visit the service overview page.  

AWS Step Functions expands its AWS SDK integrations with support for 36 additional AWS services including AWS End User Messaging and Amazon Q Apps, an Amazon Q Business capability. You can leverage our breadth and depth of services in your workflow, without writing additional integration code. AWS Step Functions is a visual workflow service capable of orchestrating over 14,000+ API actions from over 220 AWS services to help customers build distributed applications at scale. By directly invoking AWS services or their API actions from AWS Step Functions, customers can write less code, simplify their architecture, and save costs. In addition to the 36 newly added services, Step Functions also added support for over 1,000 new API actions from new and existing AWS services such as AWS Transfer Family, Amazon EC2, AWS Lambda, and AWS Glue. For the full list of added services, visit AWS SDK service integrations. These enhancements are now generally available in all regions where AWS Step Functions is available. Specific services and API actions are subject to the availability of the target services in the AWS Region. To learn more about AWS SDK integrations, visit the Developer Guide, or build a state machine using our AWS SDK integration tutorial.  

The Customer Carbon Footprint Tool is now available on a dedicated page in the AWS Billing console, under Cost and Usage Analysis. It is no longer in the Cost and Usage Reports page, as this page is being deprecated. The Customer Carbon Footprint Tool supports customers on their sustainability journey. When signed into the AWS Billing console, customers can view their carbon emissions data for the past 36 months by geographical location and by AWS services, including Amazon Elastic Compute Cloud (EC2) and Amazon Simple Storage Service (S3). All other services are reported as Other. They can also measure changes in their carbon footprint over time, as they deploy new resources in the cloud. To learn more about the Customer Carbon Footprint tool, visit the product page or review the User Guide. Current AWS customers can visit the AWS Billing console to start using this tool as they progress on their sustainability journey.  

Today, we are announcing the availability of AWS Backup in the Asia Pacific (Thailand) Region. AWS Backup is a fully-managed, policy-driven service that allows you to centrally automate data protection across multiple AWS services spanning compute, storage, and databases. Using AWS Backup, you can centrally create and manage backups of your application data, protect your data from inadvertent or malicious actions with immutable recovery points and vaults, and restore your data in the event of a data loss incident. You can get started with AWS Backup using the AWS Backup console, SDKs, or CLI by creating a data protection policy and then assigning AWS resources to it using tags or Resource IDs. For more information on the features available in the Asia Pacific (Thailand) Region, visit the AWS Backup product page and documentation. To learn about the Regional availability of AWS Backup, see the AWS Regional Services List.

Amazon EC2 Image Builder now supports direct conversion of Microsoft Windows ISO files to Amazon Machine Images (AMIs), streamlining the process of using your own Windows AMIs. This also simplifies the process of leveraging your existing Windows licenses (BYOL) with Amazon WorkSpaces. The existing process for converting Windows ISO files into AMIs involves time-consuming manual steps and familiarity with multiple tools, increasing operational overhead. EC2 Image Builder now enables you to seamlessly import your Windows ISO files. This enhancement simplifies the workflow for Windows 11 ISO to AMI conversion and reduces time and complexity in creating custom Windows AMIs. These AMIs can be used to launch EC2 instances and can be easily imported to Amazon WorkSpaces. This capability is present in all commercial AWS Regions. You can use this functionality using the AWS CLI, SDKs, or Console. For more information on how to use this feature, please refer to documentation.

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M8g instances are available in AWS Europe (Stockholm) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 M8g instances are built for general-purpose workloads, such as application servers, microservices, gaming servers, midsize data stores, and caching fleets. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes with up to 3x more vCPUs and memory compared to Graviton3-based Amazon M7g instances. AWS Graviton4 processors are up to 40% faster for databases, 30% faster for web applications, and 45% faster for large Java applications than AWS Graviton3 processors. M8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). To learn more, see Amazon EC2 M8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.  

Today, AWS announced the opening of a new AWS Direct Connect location within the Equinix MX1, Querétaro, Mexico data center near Mexico City. By connecting your network to AWS at the new location, you gain private, direct access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones. This site is the second AWS Direct Connect location within Mexico. The new Direct Connect location offers dedicated 10 Gbps and 100 Gbps connections with MACsec encryption available. AWS also announced the addition of 10Gbps and 100Gbps MACsec services in the existing KIO Networks data center in Querétaro, Mexico. The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet. For more information on the over 145 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.

s3.ap-east-1.amazonaws.com is blocked Your organization doesn’t allow you to view this site Im trying to download an object via "download" button, object url, and presigned link but all of them are blocked. I am the owner of the bucket. please help submitted by /u/No_Wedding2551 [link] [comments]

Non-developer here! If I want to understand how to integrate the Connect agent workspace into our in-house CRM. Are there any Trainings in Skull builder that I can do that will give me a basic understanding of the steps that need to be taken? - anything super tailored to developers will be wasted on me. Or if someone could explain what steps we'd need to take, in a nin-techue way, that'd be awesome Thanks! submitted by /u/Odd-Blood4362 [link] [comments]

In addition to the currencies already supported, AWS US customers can choose to pay in Chilean Peso (CLP), Colombian Peso (COP), and Uruguayan Peso (UYU). Similarly, AWS Europe customers can pay in Egyptian Pound (EGP), Nigerian Naira (NGN), Polish Zloty (PLN), Romanian Leu (RON), Ukrainian Hryvnia (UAH). Local currencies are important in localizing the payment experience for customers. With payments in their local currencies, customers can avoid foreign exchange costs associated making foreign currency payments. Also, it removes payment friction for customers in countries where local regulations put limits on the foreign currency amount a customer can access. Log in to your AWS account, go to the “Billing and Cost Management“ page, and select “Payment Preferences” under Preferences and Settings“ from the left navigation menu . Click ”Edit“ to change your default payment preferences, and select your preferred currency from the ”Payment currency“ drop down. Once you save your changes, AWS will generate your future invoices in the selected currency. Learn more about managing your AWS payments.

Amazon MSK Connect (Amazon Managed Streaming for Apache Kafka Connect) now supports updating connector configuration of existing connectors. With this launch, you can change the configuration of your connector using a single, UpdateConnector API call. You can make changes to your connector settings, such as updating source or sink destinations, or processing configurations. Amazon MSK Connect allows you to deploy and operate Apache Kafka Connect connectors in a fully managed environment. You can modify the connector configuration parameters of your existing connector when you have changes in your source or sink settings such as source database tables or topics to deliver to S3 bucket. You can update the connector configuration using the Amazon MSK Console, AWS CLI, SDK, or CloudFormation. After you update the connector, you can also check the update operation status in the MSK console or using API. The MSK Connect update connector feature is available in all AWS Regions where Amazon MSK Connect is supported. To learn more, visit Amazon MSK Connect developer guide.  

AWS Security Hub now supports Amazon Route 53 Resolver DNS Firewall, allowing you to receive security findings for DNS queries made from your Amazon VPCs for domains suspected as malicious or identified as low-reputation. Route 53 Resolver DNS Firewall is a managed firewall that enables you to block DNS queries made for malicious domains and to allow queries for trusted domains. Today, AWS Security Hub gives you a comprehensive view of your security alerts and compliance status across your AWS accounts. This integration allows you to enable three new finding types for Security Hub. You can now receive security findings for queries blocked or alerted on for domains associated with AWS Managed Domain Lists, customer domain lists, and threats identified by Route 53 Resolver DNS Firewall Advanced. With this launch, you now have a single place to view security findings for your accounts that may be associated with malicious DNS queries, alongside findings from multiple AWS services, such as Amazon GuardDuty, Amazon Inspector, and Amazon Macie. The feature is available in all AWS Regions where Amazon Route 53 Resolver DNS Firewall is available. See here for the list of AWS Regions where Route 53 Resolver DNS Firewall is available. To learn more about AWS Security Hub capabilities, see the AWS Security Hub documentation. To learn more about Route 53 Resolver DNS Firewall, see the product page or documentation.  

Hey everyone! I’m from Ranchi and looking to learn AWS Solution Architect skills. I’ve been doing a lot of research online and came across Eduleem multiple times on Google and Quora. It seems like they’re offering AWS training, but I’m not sure if anyone here has personal experience with them. Has anyone taken AWS Solution Architect training from Eduleem in Bangalore? What was your experience like? How effective was the training in terms of hands-on experience and preparing you for the certification? I’ve seen positive feedback online, but I’m curious to know if anyone here can share more about their programs and how they compare to other options available in Bangalore. Also, are there any other AWS training institutes in Bangalore that you would recommend based on your experience? I’m particularly looking for courses that offer a lot of practical, real-world training and help with certification prep. Thanks for any insights or suggestions! submitted by /u/Dear-Exercise-8228 [link] [comments]

First of all a big thanks to this entire group. From being confused to what certification to take to passing the exam within a week of preparations without having any prior knowledge about cloud concepts. This group has helped me a lot in terms of getting right resource, getting discount vouchers, practice papers and study course. I would like to share my experience with the course and how did I passed within a week of study. Go for a study prep course which has lectures as well as labs(for hands-on). I enrolled for Stephen maarek's udemy video series. Watched in 1.5x Get a practice test set on aws skill builder for free. Get a practice test on Tutorialdojo. I felt Tutorialdojo has questions for each topic in detail and the real exam had much more easier questions than those on TD. Review your performance sectionwise and make pointers for sections where yoir performance is not good Try solving the flashcards before giving full set of practice questions. Practice test helped me to understand the concept better than the actual video series. So I would recommend try to finish the video lecture as soon as possible and take up practice test, you'll make mistakes a lot of them but it will help you get deeper understanding about the concept. Lastly, enrolle for exam before you start preparing. This you help you have a timeframe in mind and you would have a dedication/obligationto work towards it since you've paid and you don't want to risk it. If you're planning for an associate or speciality certification, I'd recommend you to get a foundational level course and get a benefit voucher which can be used to get 50% discount on your associate or speciality certification. This will save you some bucks. For foundational level course only, use AWS50Retake2025 voucher and get 50% off and a free retake. This is valid only if you schedule and clear exam before 25th Feb 2025. All the best submitted by /u/Familiar_Target3988 [link] [comments]

Planning to take training cum certification in Chennai but I am new to cloud will it be fine to take the course as beginner. As I have IT associate consultant with 15+ yrs exp will it be easier to understand the course as it’s a new topic for me. Kindly share some thoughts on it Also suggest some good training center for AWS Solution Architect Associate training in Chennai submitted by /u/Jaysen-007 [link] [comments]

You can now evaluate agent performance on emails in Amazon Connect, enabling managers to assess agent performance across contact channels (voice, chat, email, and tasks) in a single easy-to-use web interface, and get aggregated insights across cohorts of agents over time. With this launch, managers can evaluate agent performance by reviewing email threads and additional details of the email interaction (e.g., handle time) in a single UI. Contact centers can also use public APIs to incorporate data from third-party systems (e.g., CSAT, sales volumes, customer retention, etc.) into performance evaluations of email contacts, providing managers with comprehensive insights on agent performance. This feature is available in all regions where Contact Lens performance evaluations is already available. To learn more, please visit our documentation and our webpage. For information about Contact Lens pricing, please visit our pricing page.

AWS CodeBuild has expanded its batch build capabilities to include support for reserved capacity fleets and Lambda compute. This enhancement allows you to select a mix of on-demand instances, reserved capacity fleets, or Lambda compute resources for your build batches. AWS CodeBuild is a fully managed continuous integration service that compiles source code, runs tests, and produces software packages ready for deployment. Batch builds in CodeBuild enable the simultaneous execution of multiple, coordinated builds within a project. This feature is particularly beneficial for developers working on multi-platform projects or those with interdependent build processes. You can define the build sequence using various methods, such as a build list, a build matrix, or a dependency graph of build definitions. CodeBuild then manages the orchestration of these builds, streamlining the overall development and integration process. The new compute options are now available in US East (N. Virginia), US East (Ohio), US West (Oregon), South America (Sao Paulo), Asia Pacific (Singapore), Asia Pacific (Tokyo), Asia Pacific (Sydney), Asia Pacific (Mumbai), Europe (Ireland), and Europe (Frankfurt). For more information about the AWS Regions where CodeBuild is available, see the AWS Regions page. To learn more about running batch builds in CodeBuild, please visit our documentation. To learn more about how to get started with CodeBuild, visit the AWS CodeBuild product page.  

Amazon RDS for MariaDB now supports MariaDB Innovation Release 11.7 in the Amazon RDS Database Preview Environment, allowing you to evaluate the latest Innovation Release on Amazon RDS for MariaDB. You can deploy MariaDB 11.7 in the Amazon RDS Database Preview Environment that has the benefits of a fully managed database, making it simpler to set up, operate, and monitor databases. MariaDB 11.7 is the latest Innovation Release from the MariaDB community, and includes support for vector datatype, indexing, and search capabilities. MariaDB Innovation releases are supported by the community until the next Innovation release, whereas MariaDB Long Term Maintenance Releases, such as MariaDB 10.11 and MariaDB 11.4, are supported by the community for up to five years. Please refer to the MariaDB 11.7 release notes for more details about this release. The Amazon RDS Database Preview Environment supports both Single-AZ and Multi-AZ deployments on the latest generation of instance classes. Amazon RDS Database Preview Environment database instances are retained for a maximum period of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots that are created in the preview environment can only be used to create or restore database instances within the preview environment. Amazon RDS Database Preview Environment database instances are priced the same as production RDS instances created in the US East (Ohio) Region.

Today, AWS End User Messaging launched self-service Sender ID registrations for 19 additional countries, helping developers correctly configure SMS messaging for their applications. The new countries include Australia, Belarus, Egypt, India, Indonesia, Jordan, Kenya, Kuwait, Kazakhstan, Philippines, Qatar, Russia, Saudi Arabia, Singapore, Sri Lanka, Thailand, Turkey, United Arab Emirates, Vietnam, and Zambia. Phone numbers and sender IDs act as an extension of a business's brand, and mobile carriers and governments worldwide have implemented SMS registrations as a form of "know your customer" check to protect end-users from unwanted and spam messages. By registering, application developers ensure a higher level of deliverability and ensure their use-cases comply with local rules and regulations, avoiding message filtering. Previously, customers needed to open a support case to request these sender IDs, but now they can self-service via the AWS Management Console or programmatically via the APIs, saving time-to-onboard. The registration support is available in all commercial regions where AWS End User Messaging is generally available.  

So I am preparing for a certification and was taking the prep exam and noticed that this answer was marked incorrect. To me, -0.85 is strongly (negatively) correlated since you would take the absolute values from the results. Am I missing something here? Just want to make sure I get these questions right when I take the certification. Thanks guys. See screenshot https://preview.redd.it/flziff29v2ce1.png?width=1642&format=png&auto=webp&s=80639cb6387b4a2b9838489e8ddfc67c75aaac56 submitted by /u/upmyyouknowwhat [link] [comments]

AWS Marketplace launched email notification and Amazon EventBridge event that informs AWS Marketplace selling partners, including ISVs and Channel Partners, when their disbursements have been paused due to invalid bank account information. With this launch, selling partners can be alerted to these events and take immediate action to update their banking details so they receive their disbursements promptly. Until now, AWS Marketplace selling partners had to check disbursement status in Insights tab in AMMP. With this release, disbursement paused events that are caused by invalid bank accounts will be sent to Amazon EventBridge and AWS Marketplace sellers can subscribe to these events by defining appropriate rule patterns. Each event will contain a failure reason, payment instrument ARN that is invalid, and a link to the remediation steps. The source for these EventBridge events is aws.marketplace and the possible detail-type value is Disbursement Paused. To learn more about this new email notification, see Managing email notifications for AWS Marketplace events - AWS Marketplace and to get started with creating event rules in Amazon EventBridge, see Amazon EventBridge events - AWS Marketplace.