AWS Releases
Amazon Web Services releases and Terraform AWS provider. New features, breaking changes, security advisories and deprecations - each summarised in plain English and updated continuously.
Tracking 681 AWS releases · Updated
- AWS What's New networkingawsgaengineer ·
Amazon MQ for RabbitMQ adds private networking
Amazon MQ for RabbitMQ now supports private networking, allowing brokers to connect to private VPC resources without public exposure. This enhances security and compliance for integrations with services like identity providers or other brokers, eliminating previous complex workarounds. The feature uses AWS VPC Lattice, RAM, and PrivateLink and is available for RabbitMQ brokers in regions with VPC Lattice.
feature - AWS What's New aiawsengineeraws-sagemaker ·
SageMaker AI adds observability for inference endpoints
Amazon SageMaker AI now offers an observability capability for generative AI inference workloads, providing real-time visibility into token performance and infrastructure health. This feature automates the collection and display of key metrics, reducing manual troubleshooting time from hours to minutes. It is designed for engineers and architects managing production AI inference, with a new CloudWatch dashboard and Grafana integration available across multiple AWS regions.
feature announcement - AWS What's New aiawsgaengineeraws-sagemaker ·
Mistral-3-14B-Instruct model available on Amazon SageMaker JumpStart
Amazon SageMaker JumpStart now offers the Mistral-3-14B-Instruct-2512 foundation model, enabling multimodal reasoning and agentic AI capabilities. This compact 14B-parameter model supports advanced AI assistants, vision-enabled applications, and native function calling, with easy deployment via SageMaker Studio or SDK. It is optimized for edge deployment and handles multilingual text and image analysis.
feature announcement - AWS What's New aiawsaws-sagemaker ·
Amazon SageMaker JumpStart adds all-MiniLM-L12-v2 for semantic search
Amazon SageMaker JumpStart now offers the all-MiniLM-L12-v2 model for semantic search and sentence similarity. This allows AWS customers to efficiently build applications like information retrieval and document clustering using dense vector representations. The model is readily deployable via SageMaker Studio or the Python SDK, ideal for production workloads needing fast, high-quality text embeddings.
feature announcement - AWS What's New infraawsengineeraws-ec2 ·
AWS Nested Virtualization Expands to More Intel Instances and GovCloud
AWS has expanded nested virtualization support to more Intel-based EC2 instance types, including C7i, R7i, M7i, and their variants, along with the new X8i instances. This capability is also now available in US GovCloud regions (US-East and US-West), broadening its accessibility. Nested virtualization allows users to run hypervisors like KVM or Hyper-V on EC2 instances, enabling scenarios such as mobile app emulation, automotive hardware simulation, and WSL on Windows.
feature - AWS What's New awsgaengineer ·
Amazon Connect Customer allows interrupting agents for urgent contacts
Amazon Connect Customer now supports interrupting agents for urgent contacts, overriding standard routing to allow callbacks or specific assignments. This feature enhances agent efficiency by enabling immediate attention to critical communications, even when agents are busy or in a custom status. It is available in all regions where Amazon Connect Customer is offered and requires no prerequisites beyond standard configuration.
feature - AWS What's New observabilityawsengineeraws-ec2 ·
AWS Compute Optimizer adds EBS volume performance metrics
AWS Compute Optimizer now analyzes IOPS and throughput spikes for EBS volumes, offering better rightsizing recommendations. This enhancement helps balance cost and performance for workloads with bursty traffic. It applies to most AWS Regions for EBS volumes on Nitro-based EC2 instances, with underlying CloudWatch metrics available at no extra cost.
feature - AWS What's New aiawsgaengineeraws-bedrock ·
Amazon Bedrock AgentCore Harness GA
AWS has launched the managed agent harness in Amazon Bedrock AgentCore, enabling faster development of functional agents. This feature provides the orchestration layer, tool execution, state management, and error recovery, previously requiring significant manual development. It allows customers to define agents via configuration rather than coding the loop, offering flexibility in model selection and integration with tools and knowledge sources. The harness is available today in all commercial AWS Regions where AgentCore is offered.
feature announcement - AWS What's New aisecurityawsengineer ·
AWS Secrets Manager adds secret safety skill to Agent Toolkit
AWS Secrets Manager now includes a secret safety skill within the Agent Toolkit for AWS's aws-core plugin, enhancing security for AI coding agents. This feature prevents sensitive secrets from being exposed to AI models or session logs during agentic workflows. It is available today for all supported agent harnesses and AWS Regions, offering a crucial security upgrade for developers building on AWS.
feature - AWS What's New aiawsengineeraws-s3 ·
Oracle Database@AWS adds Oracle Autonomous AI Database Serverless
Oracle Database@AWS now supports Oracle Autonomous AI Database Serverless (ADB-S), a managed Exadata service. This integration allows provisioning directly from AWS, simplifying operations for AI Transaction Processing, AI Lakehouse, AI JSON Database, and APEX workloads. ADB-S includes automated management, independent scaling, high availability, and integrates with AWS security and monitoring services, launching in US East (N. Virginia) and US West (Oregon) regions.
feature - AWS What's New infraawsgaengineeraws-rds ·
Amazon RDS adds M9g instances with Graviton5 processors
Amazon RDS for PostgreSQL, MySQL, and MariaDB now supports M9g database instances, powered by AWS Graviton5 processors. These instances offer up to 30% performance improvement and up to 23% better price/performance compared to Graviton4 instances. The new instances are available in 24xlarge and 48xlarge sizes and are currently deployed in three AWS regions.
feature patch - AWS What's New aiawsdatabrickssnowflakeengineer ·
Amazon Quick Adds Autonomous Agents and Multi-Dataset Analytics
Amazon Quick has launched new features including autonomous agents, multi-dataset analytics, and a redesigned activity feed. These updates allow Quick to automate recurring tasks and provide unified analytics across multiple data sources, simplifying complex workflows for business users. The changes are particularly beneficial for those managing deals, summarizing regulatory information, or processing orders, and enable natural language querying across diverse data stores like Snowflake and relational databases. Autonomous agents can be configured for varying levels of autonomy, from approvals to goal-based execution, while the activity feed offers a conversational interface for managing updates and requests.
feature - AWS What's New dataawspreviewengineeraws-s3 ·
AWS Glue Data Catalog adds business context and semantic search (Preview)
AWS Glue Data Catalog now supports business context and semantic search in preview, enabling users to discover and understand data based on its meaning. This feature allows enrichment of data catalog entries with glossary terms and custom metadata, improving data discovery and grounding AI agents with trusted definitions. Data analysts and AI agents can now find tables by both technical structure and semantic meaning, with initial availability in select AWS regions.
feature announcement - Terraform AWS Provider Releases terraforminfraawsgadeprecationengineeraws-s3 ·
Terraform AWS Provider v6.51.0: New resources, enhancements, and bug fixes
This release introduces new resources for AWS services like ACM, Bedrock Agent, and SageMaker Hub, along with several enhancements to existing resources, including EKS cluster configurations and CloudFront distributions. Several bug fixes are also included, addressing issues with ACM certificates, DMS S3 endpoints, and Elasticache replication groups, among others. Users should note a deprecation in the DMS S3 endpoint resource for KMS key ARN configurations.
feature patch announcement - AWS What's New infraawsengineeraws-sagemaker ·
AWS Glue Interactive Sessions adds Spark Connect support
AWS Glue Interactive Sessions now supports Apache Spark Connect, enabling developers to run Spark applications from local IDEs and notebooks on AWS Glue's serverless infrastructure. This feature simplifies development workflows by decoupling client applications from the Spark execution environment, improving debugging and iterative development. It is available in specific AWS regions and provides enhanced observability.
feature - AWS What's New awssnowflakeengineerretail ·
Amazon Quick adds 16 new integrations for design, communication, and data tools
Amazon Quick has launched 16 new connectors for tools including Adobe, Figma, Snowflake, and WhatsApp, enabling users to act on data insights without switching applications. This expansion integrates a wider range of productivity, design, analytics, and communication platforms, allowing for combined workflows. The new integrations are available in all AWS Regions where Quick is offered and can be added in minutes to enhance Quick Flows and Chat.
feature - AWS What's New observabilityawsengineerhealthcaremedia ·
AWS HealthOmics streams workflow logs to CloudWatch in real time
AWS HealthOmics now streams workflow engine logs to Amazon CloudWatch in real time, allowing for immediate monitoring of workflow execution. This feature accelerates development and debugging for researchers and bioinformaticians by providing instant access to execution details. The streamed logs include orchestration events, task scheduling, import/export activity, and error stack traces, which can be used for alarms, dashboards, and integration with existing observability tools. This capability is now available for Nextflow, WDL, and CWL workflows in all HealthOmics regions.
feature - AWS What's New infraawsengineermedia ·
AWS Outposts adds AMD-based bmn-cx3a instances with accelerated networking
AWS Outposts now supports bmn-cx3a instances, featuring 5th Gen AMD EPYC processors and NVIDIA ConnectX-7 for up to 800 Gbps network bandwidth. This enables high-throughput workloads like real-time data processing and media distribution for customers with second-generation Outposts racks. The instances are available globally where Outposts racks are supported.
feature - AWS What's New aisecurityawspreviewengineer ·
AWS Security Agent adds AI-powered threat modeling
AWS Security Agent now offers AI-powered threat modeling to automatically generate threat models for applications. This feature analyzes design documents or source code, identifies threats using the STRIDE framework, and suggests mitigations, reducing manual effort and specialized expertise requirements. Available in public preview for all AWS Security Agent regions, it integrates with IDEs and can be used by developers and security teams.
feature announcement - AWS What's New aisecurityawsengineer ·
AWS Security Agent adds Kiro, Claude Code, and simulated validation
AWS Security Agent, now part of AWS Continuum, has added support for Kiro and Claude Code, allowing developers to run security scans from their IDE. The agent now simulates exploits in a sandbox to validate findings, reducing false positives and prioritizing remediation. New integrations with GitLab, GitHub Enterprise, Bitbucket, and Confluence are also included, enhancing its utility for development teams.
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About AWS release tracking on ReleaseBytes
AWS ships hundreds of service updates a month across EC2, Lambda, RDS, S3, EKS and the rest of the catalogue — far more than anyone can follow by reading the official What's New feed. ReleaseBytes ingests announcements from AWS's official release channels and the Terraform AWS provider changelog, summarises each one in plain English, and tags anything that is a breaking change, security advisory or deprecation so you can see at a glance whether it affects your workloads.
Frequently asked questions
How often are AWS release notes updated on ReleaseBytes? ›
Continuously. ReleaseBytes monitors the official AWS release channels around the clock and publishes a plain-English summary of each announcement shortly after it lands.
What kinds of AWS changes does ReleaseBytes track? ›
New features, enhancements, bug fixes, security advisories, breaking changes, deprecations and end-of-life announcements. Every item is tagged by type so you can filter to just the changes that need action.
How can I get alerts for new AWS releases? ›
Set up a free email or Slack alert filtered to AWS, subscribe to the weekly digest, or follow the RSS feed. Teams can also install the ReleaseBytes GitHub App or connect via MCP.
Where does the AWS release data come from? ›
From the official sources: Amazon Web Services releases and Terraform AWS provider. Every item links back to the original vendor announcement.