9/24/2026, 12:00:00 AM ~ 9/25/2026, 12:00:00 AM (UTC)
Recent Announcements
Amazon EventBridge relaunches event buses for enterprise scale
Amazon EventBridge relaunches event buses with a new enhanced Custom event bus that lets you build event-driven applications that decouple teams and can scale with your organization. Create a custom event bus, share it across accounts, and now teams can publish and consume events with strict ordering, open event formats, built-in retention, and support for advanced event transformations.\nThe EventBridge Custom event bus is a serverless event broker that enables you to create scalable event-driven applications by routing events between your applications, SaaS integrations, and AWS services. It can now be shared with one or more accounts through AWS Resource Access Manager allowing publishers to send events directly to the central event bus. With a new event publishing API, you can now publish events in popular JSON based event formats like CloudEvents and preserve their schema without modification. Custom event buses include 24 hours of built-in retention that can be extended for up to one year allowing you to recover from application errors or hydrate new components from historical data. A new Subscriber resource allows you to filter events and deliver them to over 250 AWS services. Now with native support for strictly ordered use cases, customers can ensure events are processed in the exact order they were received and new event evaluations allow automatic content based deduplication. To get started, you can create and share the new Custom event bus using the AWS Management Console, AWS CLI, AWS SDKs, Serverless Agent skill, and AWS CloudFormation. To help you separate the existing Custom event bus experience from the new enhanced Custom event bus, we have renamed the existing bus to Custom event bus - classic. All existing APIs remain unchanged. The enhanced Custom event bus is available at launch in fourteen AWS Regions: United States (N. Virginia, Ohio, Oregon), Europe (Ireland, Frankfurt, Stockholm, Spain), and Asia Pacific (Tokyo, Singapore, Sydney, Malaysia, Thailand, Mumbai, Hong Kong). We have introduced a new pricing model that charges for data transferred rather than events, and rewards you with lower costs as your workloads scale. To learn more, visit Amazon EventBridge. To learn more, see the AWS News blog, the EventBridge user guide, and the EventBridge product page, or download the agent skills.
AWS Lambda durable functions are now available in AWS European Sovereign Cloud region
AWS Lambda durable functions are now available in the AWS European Sovereign Cloud. Lambda durable functions enable developers to build reliable multi-step applications and AI workflows within the Lambda developer experience.\nLambda durable functions extend the Lambda programming model with new primitives in your event handler, such as “step” and “wait”, allowing you to checkpoint progress, automatically recover from failures, and pause executions without incurring compute charges for on-demand functions. With availability in the AWS European Sovereign Cloud region, customers can orchestrate complex processes such as order workflows, user onboarding, and AI-assisted tasks while meeting compliance and security requirements. You can activate durable functions for new Python (versions 3.13 and 3.14), Node.js (versions 22 and 24), or Java (17+) based Lambda functions using the AWS Lambda API, AWS Management Console, or AWS SDK. You can also use infrastructure as code tools such as AWS CloudFormation, AWS Serverless Application Model (AWS SAM), and the AWS Cloud Development Kit (AWS CDK). For more information on durable functions, visit the AWS Lambda durable functions product page or the AWS Lambda Developer Guide. To learn about pricing, visit AWS Lambda pricing.
Amazon Relational Database Service (RDS) for MySQL announces Amazon RDS Extended Support minor versions 5.7.44-rds.20260902 and 8.0.46-rds.20260908.\nAmazon RDS Extended Support provides up to three additional years of fixes for critical Common Vulnerabilities and Exposures (CVE) and bugs beyond a major version’s end of standard support date, giving you more time to upgrade to a new major version.
Amazon RDS Blue/Green Deployments, in-place upgrade, or restore from a snapshot. Learn more about performing version upgrades in the Amazon RDS for MySQL User Guide. You can also migrate to MySQL 8.4 from external MySQL sources using AWS Database Migration Service. Learn more about pricing details and regional availability at Amazon RDS for MySQL. Amazon RDS for MySQL makes it simple to set up, operate, and scale MySQL deployments in the cloud. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console or by using the AWS Command Line Interface (AWS CLI).
Starting today, Amazon RDS for PostgreSQL 19 Beta 4 is available in the Amazon RDS Database Preview Environment, allowing you to evaluate the pre-release of PostgreSQL 19 on Amazon RDS for PostgreSQL.\nPostgreSQL 19 Beta 4 refines the query performance and autovacuum management capabilities introduced in earlier releases and includes bug fixes and stability improvements since Beta 3. Fixes include pg_stat_autovacuum_scores view reporting for TOAST tables and corrected freeze-score scaling so you can tune autovaccum prioritization effectively. Parallel autovacuum now shares a rebalanced cost limit across its workers to keep maintenance on large tables within your configured limits. Refer to the PostgreSQL community announcement for more details. 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. You can use the PostgreSQL dump and load functionality to import or export your databases from the Preview Environment. Amazon RDS Database Preview Environment database instances are priced as per the pricing in the US East (Ohio) Region.
Amazon RDS for PostgreSQL now supports post-quantum TLS key exchange
Starting today, Amazon RDS for PostgreSQL introduces support for post-quantum TLS (PQ-TLS) key exchange, providing you with post-quantum cryptography options for encrypting your data in-transit.\nRDS for PostgreSQL versions 18 and higher support modification of the ssl_groups parameter. You can select cryptographic groups from the RDS for PostgreSQL allow list to align with your organization’s security standards. Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console or by using the AWS Command Line Interface (AWS CLI).
AWS Network Security Manager is now generally available in US East (N. Virginia) Region
Today, AWS announces the general availability of AWS Network Security Manager, a comprehensive network security management solution designed to simplify security policy deployment and enforcement at scale. Network Security Manager supports AWS WAF and AWS Shield Advanced, with support for AWS Network Firewall soon to follow. AWS Network Security Manager enables security teams to consistently enforce firewall and DDoS protection configurations across their entire AWS organization.\nNetwork Security Manager features always-on security deployment automation that applies AWS WAD and AWS Sheild Advanced security protection to Internet facing assets like AWS Application Load Balancer and Amazon CloudFront. This automated approach helps security teams deploy and manage WAF rules and Shield Advanced protections efficiently, ensuring consistent security posture across targeted accounts and resources. Teams can centrally manage security policies, automatically detect configuration drift, and apply remediation reducing the operational overhead of manual security management while maintaining comprehensive protection. AWS Network Security Manager is generally available in US East (N. Virginia). For pricing information, visit the AWS Network Security Manager Pricing page.
Amazon SageMaker HyperPod Inference Gateway for scalable LLM inference
Amazon SageMaker HyperPod Inference Gateway is a Kubernetes-native, GPU-aware routing system that deploys as a single EKS managed add-on on existing SageMaker HyperPod infrastructure with zero application changes. By replacing unintelligent round-robin load balancing with real-time inference-signal-driven routing, it reduces first-token latency by up to 82% and p99 TTFT reductions of 97–98% in mixed-hardware and burst traffic scenarios.\nThe Gateway is built around 3 core components. The Envoy Endpoint terminates HTTPS traffic and exposes a single private endpoint per cluster. The Body-Based Router reads the model name directly from each incoming request and routes it to the correct GPU pool - enabling one gateway to serve many models from a single endpoint URL with no client-side changes required. The Endpoint Picker continuously scores every model server pod in real time across 6 inference-level signals - KV cache utilization, queue depth, LoRA adapter residency, prefix cache hit rate, predicted latency and running requests - selecting the optimal pod for each individual request. The gateway works with any OpenAI-compatible model server, including vLLM and SGLang, requiring no application code changes. Per-cluster routing is available today in all AWS Regions where the SageMaker HyperPod inference add-on is supported. Coming soon - cross-cluster and cross-region routing with a centralized fleet gateway, global rate limiting, and cost-tier-aware traffic shaping. To learn more, read the launch blog and explore the documentation
Run interactive workloads on Amazon EMR on EKS with Spark Connect
Amazon EMR on EKS now supports interactive Apache Spark sessions with Spark Connect. Data engineers and data scientists can develop and debug Apache Spark applications interactively from managed notebooks in Amazon SageMaker Unified Studio and their own IDEs, such as Jupyter and Visual Studio Code, with Spark running on the Amazon EKS clusters they already operate. \nAn interactive session provides a persistent Spark context that spans across cells and scripts, letting you blend local Python code execution with remote Spark operations. Spark Connect’s client-server architecture decouples your application client from the Spark driver and allows you to maintain your preferred development environment and tooling while Spark runs on your Amazon EKS cluster. This architecture supports workflows including ad hoc data exploration and incremental PySpark job development before deploying to production. Each session runs as pods on a virtual cluster, secured with your AWS Identity and Access Management (IAM) execution role and tagged by project and user. Spark Connect on Amazon EMR on EKS is available with EMR release 7.14 (Apache Spark 3.5) and emr-spark-8.1.0 (Apache Spark 4.1), in all AWS Commercial Regions. The Amazon SageMaker Unified Studio experience is available in supported AWS Regions. To get started, visit the Spark Connect on Amazon EMR on EKS documentation or the Amazon SageMaker Unified Studio Getting Started guide.
Amazon GameLift Servers now available in 5 new regions and 8 Local Zones
Amazon GameLift Servers is a fully managed service for deploying, operating, and scaling dedicated game servers for multiplayer games. High latency caused by geographic distance between players and servers remains one of the most common challenges in multiplayer game development. This expansion helps game developers and studios address that challenge by bringing Amazon GameLift Servers to 5 new AWS Regions and 8 AWS Local Zones worldwide.\nWith this expansion, customers can deploy game server fleets closer to players across Latin America, Southeast Asia, Europe, the Middle East, and South Asia, reducing latency and improving gameplay responsiveness. The 5 new AWS Regions are il-central-1 (Tel Aviv), mx-central-1 (Mexico/Queretaro), eu-south-2 (Spain/Zaragoza), ap-south-2 (Hyderabad), and ap-southeast-3 (Jakarta). The 8 new AWS Local Zones are us-east-1-atl-2 (Atlanta), us-east-1-chi-2 (Chicago), us-east-1-iah-2 (Houston), us-east-1-mia-2 (Miami), us-west-2-phx-2 (Phoenix), sa-east-1-bue-1 (Buenos Aires), us-east-1-nyc-2 (NYC) and sa-east-1-lim-1 (Lima).
documentation.
Amazon RDS supports Multi-AZ for SQL Server Developer Edition
Amazon Relational Database Service (Amazon RDS) for SQL Server now supports Multi-AZ deployments using Always On Availability Groups for SQL Server Developer Edition. Multi-AZ deployments maintain a synchronous standby replica in a different Availability Zone and provide automatic failover during infrastructure failure. You can use this capability to build and test high availability configurations in non-production environments using Developer Edition, which includes all the functionality of Enterprise Edition at no license cost.\n Working with SQL Server Developer Edition on RDS for SQL Server. For pricing details, see Amazon RDS for SQL Server Pricing.
Amazon ElastiCache Global Datastore now supports tagging and tag-based access control
Amazon ElastiCache now supports resource tagging and tag-based access control (TBAC) for Global Datastore. Previously, ElastiCache supported tagging on all resources except Global Datastore, which prevented customers from applying a single, consistent permission and cost-allocation model across their ElastiCache fleet.\nWith this launch, you can use AddTagsToResource, RemoveTagsFromResource, and ListTagsForResource on a Global Datastore, and reference those tags as conditions in IAM policies and Service Control Policies (SCPs) to grant permissions based on tag attributes rather than enumerating individual resources. Tag changes on a Global Datastore propagate automatically to every Region it spans, so access-control and cost-allocation policies stay consistent without per-Region operations. There is no additional cost for this feature, and no change to how you create or manage Global Datastores. This feature is available in all AWS Regions where ElastiCache Global Datastore is available. To learn more, see Tagging your ElastiCache resources and Using condition keys with ElastiCache.
AWS Blogs
AWS Japan Blog (Japanese)
- AWS Weekly — 2026/9/14
- Amazon Timestream for InfluxDB 3 features and workflows
- Weekly Generative AI with AWS - Week of 2026/9/14
- AWS Weekly Roundup: AWS Builder Center Mobile App, Amazon Connect Talent Public Availability Begins, Amazon Corretto 27, etc. (September 21, 2026)
- Implementing mTLS Authentication for SAP S/4HANA with Amazon CloudFront
- SAP ABAP application development with AI-DLC (AI-driven development lifecycle)
AWS News Blog
AWS Big Data Blog
Artificial Intelligence
- Speaker-labeled transcription with WhisperX on SageMaker AI
- Build a multi-account AI agent with AgentCore Gateway and MCP
- Aderant builds intelligent ticket triage with Amazon Nova