Claude Sonnet 5 is now available on Amazon Bedrock in AWS GovCloud (US)

AWS GovCloud (US) now offers Claude Sonnet 5 on Amazon Bedrock. Claude Sonnet 5 delivers strong performance across coding, professional work, and agentic tasks while maintaining the balance of capability, cost, and speed. For coding, it navigates large codebases, lands multi-file changes, and carries debugging and refactoring tasks through to completion with fewer rounds of correction. For agents, it calls tools precisely, holds state across many steps, and recovers from errors so more runs finish correctly the first time. For knowledge work, it builds spreadsheets, drafts documents, and turns unstructured material into structured analysis. 
With this launch, Claude Opus 4.8 and Claude Sonnet 5 are available on bedrock-runtime endpoints in AWS GovCloud (US-West and US-East) and bedrock-mantle endpoints in AWS GovCloud (US-West) for performing inference. Bedrock Mantle, Amazon Bedorck’s next-generation inference engine, supports the Anthropic Messages API. Amazon Bedrock keeps your data within AWS infrastructure and provides access to Claude Sonnet 5 through a unified service with AWS-managed features like Guardrails, Knowledge Bases, and regional data residency. To learn more, see the Amazon Bedrock documentation and regional availability. 
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Amazon EVS is now available in additional Regions

Today, we’re announcing that Amazon Elastic VMware Service (Amazon EVS) is now available in the Asia Pacific (Seoul), Europe (Zurich), and Europe (Stockholm) Regions. This expansion provides more options to leverage the scale and flexibility of AWS for running your VMware workloads in the cloud. Amazon EVS lets you run VMware Cloud Foundation (VCF) directly within your Amazon Virtual Private Cloud (VPC) on EC2 bare-metal instances, powered by AWS Nitro. You can set up a complete VCF environment in just a few hours, enabling rapid workload migration to AWS to help you eliminate aging infrastructure, reduce operational risks, and meet critical timelines for exiting your data center. This launch supports all existing Amazon EVS features, including VCF 9.0 and 9.1 support to take advantage of the latest VMware features, such as memory tiering. The added availability in these Regions gives your VMware workloads lower latency through closer proximity to your end users, compliance with data residency or sovereignty requirements, and additional high availability and resiliency options for your enhanced redundancy strategy. To get started, visit the Amazon EVS product detail page and user guide. 
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Amazon Bedrock AgentCore now delivers unified observability with traces and logs in a single log group

Amazon Bedrock AgentCore now delivers agent traces and prompts to the same log group as your agent’s logs, giving you unified observability for AI agents in a single Amazon CloudWatch log group.
Previously, AgentCore split agent telemetry across multiple destinations trace spans went to the shared `aws/spans` log group while event logs containing prompts, inputs, and outputs went to a separate resource-specific log group. This meant debugging an agent invocation required searching across multiple log groups, and customers could not apply fine-grained access control or customer-managed key (CMK) encryption at the individual agent level. With today’s launch, all of an agent’s telemetry traces, prompts, structured logs, and standard output is delivered to a single per-agent log group (`/aws/bedrock-agentcore/runtimes/<agent_id>-<endpoint_name>`). You can now correlate traces and logs in one place, scope IAM policies and CMK encryption to individual agents, and export all telemetry by subscribing to a single log group. For multi-agent systems, each agent’s complete execution history stays together, making end-to-end debugging straightforward.
All newly created agents starting July 20, 2026 in supported AWS Regions use unified observability by default starting no configuration needed. For existing agents, set the `UNIFIED_TRACES_DESTINATION_ENABLED=true` environment variable on your agent runtime and upgrade ADOT to version 0.17.1 or later. This feature is available in all AWS commercial regions where AgentCore runtime is supported. Learn more in the AgentCore Developer Guide.
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Amazon RDS for MySQL supports MySQL 9.7 in Amazon RDS Database Preview Environment

Amazon RDS for MySQL now supports version community MySQL 9.7 in the Amazon RDS Database Preview Environment, allowing you to evaluate the latest Release on Amazon RDS for MySQL. This preview environment provides a sandbox where you can test applications and explore new MySQL 9.7 capabilities before they become generally available. MySQL 9.7 is the latest Long-Term Support release for community MySQL. MySQL Long-Term Support releases include bug fixes, security patches, as well as new features. Please refer to the MySQL 9.7 release notes for more details about this release. Amazon RDS Database Preview Environment database instances are retained for a maximum of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots 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. For further information, see Working with the Database Preview Environment.
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AWS Entity Resolution now supports advanced real-time matching

AWS Entity Resolution now supports real-time matching with advanced matching workflows, enabling customers to match records in milliseconds using complex rulesets through the GenerateMatchId API. Previously, real-time matching was limited to simple rule-based workflows, while advanced rulesets—which support operators like Exact and ExactManyToMany combined with AND/OR logic—could only be used for batch processing that took minutes to hours. This created a critical gap for customers needing real-time entity resolution with sophisticated matching logic.
With this launch, customers performing fraud detection, real-time account lookup, or website personalization can define advanced matching rules and get results in real-time without maintaining separate matching infrastructure or re-architecting applications. To enable advanced real-time matching, customers set the enableRealTimeMatching parameter to true on their matching workflow, then call the existing GenerateMatchId API—no new endpoints or migration required.
Advanced real-time matching is available in all AWS Regions where AWS Entity Resolution is available. 
To get started, see Using GenerateMatchId in the AWS Entity Resolution User Guide.  
For more information about AWS Entity Resolution, visit the product page.
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Amazon EC2 M8a instances now available in the Asia Pacific (Hyderabad) region

Starting today, the general-purpose Amazon EC2 M8a instances are available in AWS Asia Pacific (Hyderabad) region. M8a instances are powered by 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to M7a instances. M8a instances deliver 45% more memory bandwidth compared to M7a instances, making these instances ideal for even latency sensitive workloads. M8a instances deliver even higher performance gains for specific workloads. M8a instances are up to 60% faster for GroovyJVM benchmark, and up to 39% faster for Cassandra benchmark compared to Amazon EC2 M7a instances. M8a instances are SAP-certified and offer 12 sizes including 2 bare metal sizes. This range of instance sizes allows customers to precisely match their workload requirements. M8a instances are built using the latest sixth generation AWS Nitro Cards and ideal for applications that benefit from high performance and high throughput such as financial applications, gaming, rendering, application servers, simulation modeling, mid-size data stores, application development environments, and caching fleets. To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information visit the Amazon EC2 M8a instance page.
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Amazon EC2 C7a instances are now available in the US West (N. California) Region

Starting today, the compute optimized Amazon EC2 C7a instances are now available in AWS US West (N. California) Region. C7a instances, powered by 4th Gen AMD EPYC processors (code-named Genoa) with a maximum frequency of 3.7 GHz, deliver up to 50% higher performance compared to C6a instances. C7a instances offer new processor capabilities such as AVX-512, VNNI, and bfloat16. They feature Double Data Rate 5 (DDR5) memory to enable high-speed access to data in memory and 2.25x more memory bandwidth compared to C6a instances, making these instances ideal for even latency sensitive workloads. C7a instances offer 12 sizes from medium to 48xlarge, including a bare-metal size. And with the launch of C7a instances, customers can attach up to 128 EBS volumes to an EC2 instance — by comparison, C6a instances allow up to 28 EBS volume attachments to an EC2 instance. These instances are built on the AWS Nitro System and ideal for high performance, compute-intensive workloads such as batch processing, distributed analytics, high performance computing (HPC), ad serving, highly-scalable multiplayer gaming, and video encoding. C7a instances are available through On-Demand, Spot Instances, and Savings Plans. To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, see C7a instances.
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AWS Secrets Manager now publishes secret update notifications to Amazon EventBridge

AWS Secrets Manager now automatically publishes events to Amazon EventBridge whenever your secret values change, enabling you to build event-driven workflows that respond in real time to secret updates. Until now, you had to rely on AWS CloudTrail events parsed into EventBridge to know when a secret value changed — requiring you to match multiple API events such as rotation success, PutSecretValue, and UpdateSecretValue. With this launch, Secrets Manager publishes events directly into EventBridge whenever your secret value changes. You can use EventBridge rules to detect when the active secret value changes — such as during rotation — and route notifications to targets like AWS Lambda, Amazon SNS, Amazon SQS, or Amazon Step Functions. This enables you to proactively refresh cached credentials in your applications, restart dependent services, or update compliance reports for secret rotation. Secret update notifications are published to your default event bus automatically with no additional configuration or opt-in required. This feature is available in all AWS Regions where AWS Secrets Manager is available at no additional cost. To get started, see secret event notifications in the AWS Secrets Manager User Guide.
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Amazon EKS now supports EFA and placement groups on Amazon EKS Auto Mode and Karpenter

Amazon Elastic Kubernetes Service (EKS) now supports Amazon EC2 placement groups and Elastic Fabric Adapter (EFA) network device configuration for node pools on EKS Auto Mode and the open-source Karpenter project, enabling you to optimize EKS workloads for performance and availability. These capabilities allow you to control EFA network interface configuration and how EC2 instances are physically distributed across AWS infrastructure for distributed training and inference workloads. With EKS Auto Mode and Karpenter’s EFA configuration, you can configure network interfaces as EFA-only or standard ENI on EFA-capable instances with both dynamic and static capacity node pools. EFA-only interfaces do not consume IP addresses, giving you fine-grained control over IP utilization in your VPC while achieving full interconnect bandwidth. With placement group support, you can launch EC2 instances using cluster, spread, or partition strategies directly from your EKS Auto Mode or Karpenter node pool configuration, giving you control over how instances are physically distributed without additional operational workarounds. Together, these capabilities let you optimize for the performance, availability, and fault isolation characteristics your workloads require, whether that’s maximizing throughput for distributed training jobs or minimizing blast radius for critical production services. These features are available in all AWS Regions where Amazon EKS is available. To get started and learn more, see the EKS Auto Mode User Guide and Karpenter documentation.
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Amazon Corretto July 2026 Quarterly Updates

On July 22, 2026, Amazon announced quarterly security and critical updates for Amazon Corretto Long-Term Support (LTS) and Feature Release (FR) versions of OpenJDK. Corretto 26.0.2, 25.0.4, 21.0.12, 17.0.20, 11.0.32, and 8u502 are now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK. Starting with this release, the default Amazon Corretto Docker images are based on Amazon Linux 2023. Amazon Linux 2 images will continue to be provided as non-default options for customers who cannot yet migrate. JavaFX binaries are no longer included with Corretto 8 starting from this release. You can learn more about the migration recommendations at Corretto 8 GitHub. Visit Corretto home page to download Corretto 26, Corretto 25, Corretto 21, Corretto 17, Corretto 11, or Corretto 8. You can also get the updates on your Linux system by configuring a Corretto Apt, Yum, or Apk repo. Feedback is welcomed!
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