awsAug 3, 2026

AWS Weekly Roundup: Price reduction of GPT models in Bedrock, CloudWatch managed collectors for Prometheus metrics, and more (August 3, 2026) | Amazon Web Services (opens in new tab)

The AWS Weekly Roundup highlights major updates in AI pricing, observability, multicloud networking, identity resilience, and data lakes. The biggest change is an up to 80% price reduction for OpenAI GPT‑5.6 Luna models in Amazon Bedrock, alongside several managed services that reduce infrastructure and operational overhead. ## Lower Bedrock Pricing for GPT‑5.6 - Effective July 30, GPT‑5.6 Luna inference prices dropped by 80%. - New pricing is: - $0.20 per million input tokens - $1.20 per million output tokens - GPT‑5.6 Terra prices decreased by 20%. - The reductions apply automatically and require no customer action. ## Managed Prometheus Monitoring in CloudWatch - Amazon CloudWatch now provides fully managed Prometheus collectors. - Customers can collect metrics from: - Amazon EKS - Amazon EC2 - Amazon ECS - Amazon MSK - Amazon OpenSearch Service - This removes the need to deploy and maintain custom Prometheus scraping agents. ## Private Multicloud Connectivity with OCI - AWS Interconnect for Oracle Cloud Infrastructure is now generally available. - It enables resilient, scalable private connections between AWS and OCI. - Traffic avoids the public internet, improving security, performance, and reliability for multicloud workloads. ## Multi-Region IAM Identity Center - IAM Identity Center can now replicate its built-in Identity Center directory across Regions. - During a primary-Region disruption, users can continue accessing AWS accounts through provisioned entitlements in additional Regions. - Previously, multi-Region support was limited to deployments using external identity providers. ## Variant Support in S3 Tables - Amazon S3 Tables now supports Apache Iceberg V3’s Variant data type. - Variant provides native, high-performance support for semi-structured data. - Suitable use cases include IoT sensor data, application logs, and schema-flexible payloads without storing everything as JSON blobs. ## Additional AWS Resources - New AWS CLI single-line commands simplify installation and upgrades across platforms and CI environments. - A deployment guide covers running Moonshot AI’s Kimi K3 on SageMaker HyperPod and Amazon EKS. - Amazon MSK Express brokers can deliver Kafka data to Apache Iceberg streaming tables on S3 Tables, with throughput of up to 10 GB/s. - AWS Summits and AWS Community Days offer upcoming opportunities for cloud and AI learning and networking. AWS users should review the new Bedrock pricing, consider managed CloudWatch collectors to reduce monitoring maintenance, and evaluate the multicloud, identity, and Iceberg updates for architectures requiring greater resilience and scalability.

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awsJul 6, 2026

AWS Weekly Roundup: Claude Sonnet 5 on AWS, Amazon WorkSpaces for AI agents, AWS service availability updates, and more (July 6, 2026) | Amazon Web Services (opens in new tab)

The July 6, 2026 AWS roundup highlights new infrastructure, AI, observability, and developer productivity capabilities. Major announcements include Claude Sonnet 5 on AWS, generally available WorkSpaces for AI agents, faster SageMaker inference scaling, and log-query alarms in CloudWatch. It also details AWS service lifecycle changes and upcoming community events. ## Featured AWS Launches - **Claude Sonnet 5 on AWS** - Anthropic’s latest Sonnet model is available for coding, agentic workflows, and professional tasks. - It can navigate large codebases, use tools accurately, and preserve state across long-running tasks. - **Amazon WorkSpaces for AI agents** - AI agents can securely operate desktop applications in managed WorkSpaces environments. - Organizations can use existing applications without modernization or custom integrations. - **OpenSearch log analytics optimization** - A new engine provides up to four times better price-performance in internal benchmarks. - It combines log aggregation with OpenSearch’s full-text search capabilities. - **Faster SageMaker AI inference scaling** - Container image caching can reduce generative AI scale-out time by up to half. - SageMaker supports up to two times faster end-to-end scaling during demand increases. - **CloudWatch alarms from log queries** - Users can create alarms directly from log query results and define thresholds in one workflow. - This removes the need to create metric filters or custom metrics first. ## Additional Infrastructure and Developer Updates - **EC2 C9g and C9gd instances** - Powered by AWS Graviton5 processors. - Offer up to 25% more compute performance than Graviton4 instances, five times more cache, faster memory, and optional local NVMe storage. - **CloudFormation Express mode** - Provides deployment confirmation within seconds. - Helps developers and AI agents iterate more quickly, at no additional cost in commercial Regions. - **Amazon EKS version rollbacks** - Kubernetes upgrades can be reversed within seven days. - Rollbacks avoid rebuilding clusters and reduce the risk of failed upgrades. - **ACME support in AWS Certificate Manager** - Automates issuance and renewal of public TLS certificates using the standard ACME protocol. ## AWS Service Availability Changes AWS updated its lifecycle guidance on June 30, 2026, including alternatives and migration support. - **Moving to maintenance for new customers from July 30** - Amazon Bedrock Agents becomes Bedrock Agents Classic. - Amazon Cognito Sync, Amazon Kendra, Amazon Q Business, Simple AD, and several other services and features will no longer accept new customers. - A number of SageMaker AI features are affected, including Clarify, Debugger, Ground Truth, Model Monitor, and Studio Lab. - AWS IoT Device Defender Detect changes on August 31, 2026. - **Entering sunset** - Amazon WorkSpaces PCoIP and Pool. - AWS Managed Services Advanced. - AWS re:Post Private. - SageMaker AI Profiler. - **End of support** - Amazon Chime SDK Carrier Voice Focus. - SageMaker AI Ground Truth Plus. ## Upcoming AWS Events - AWS Summits will take place throughout the second half of 2026. - AWS Community Day Belo Horizonte is scheduled for August 22. - The AWS Builder Center offers community discussions, technical content, and information about upcoming virtual and in-person events. Organizations using affected AWS services should review the relevant lifecycle documentation and contact AWS Support to plan migrations before availability or support deadlines.

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awsJul 1, 2026

Upgrade Amazon EKS clusters with confidence using Kubernetes version rollbacks | Amazon Web Services (opens in new tab)

Amazon EKS now supports rolling back Kubernetes minor-version upgrades within seven days, providing a safety net that open-source Kubernetes traditionally lacks. The rollback returns a cluster to its previously validated production version rather than placing it in an emulated transitional state. This can help organizations upgrade more confidently, reduce lengthy upgrade cycles, and avoid remaining on outdated versions. ## Kubernetes Version Rollbacks - Rollbacks support one minor version at a time, matching EKS upgrade behavior. - Administrators can revert an upgrade such as Kubernetes 1.35 to 1.34 within the seven-day rollback window. - EKS uses cluster insights to check rollback readiness, including: - Node version compatibility - Add-on dependencies - Other potential upgrade issues - The `--force` option bypasses these checks when administrators need to proceed quickly. - The capability applies to both self-managed-node clusters and clusters using AWS-managed infrastructure. ## EKS Auto Mode Rollbacks - EKS Auto Mode must roll back both the control plane and managed nodes. - Node rollback operations honor pod disruption budgets, so completion time depends on workload configuration. - A cancel API allows administrators to stop an in-progress node rollback. - Disruption budgets are never bypassed automatically; users can modify or remove them if they need to accelerate the process. ## Rollback Experience and Availability - Rollbacks can be initiated from the EKS console after selecting an eligible cluster. - The console displays the remaining rollback window and relevant readiness insights. - In the example, the control plane rollback took about 20 minutes, while Auto Mode nodes rolled back according to their disruption budgets. - Rollbacks are available at no additional cost in all commercial AWS Regions where EKS operates. - Control plane rollbacks support all EKS clusters; node rollbacks are available for EKS Auto Mode. - Supported Kubernetes versions include those under standard or extended EKS support. Administrators can use the EKS console or documentation to begin using rollbacks, making incremental Kubernetes upgrades safer and easier to recover from.

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awsMay 28, 2026

Introducing the next generation of AWS Resilience Hub for generative AI-based SRE resilience journey | Amazon Web Services (opens in new tab)

AWS introduces the next generation of AWS Resilience Hub to help organizations manage application resilience consistently across large portfolios. The update adds a new business-oriented application model, modular resilience policies, dependency discovery, generative AI failure-mode analysis, and organization-wide reporting. Its goal is to help SREs and development teams define expectations, identify weaknesses, implement fixes, and demonstrate resilience through testing. ## Modular Resilience Policies - Policies are built from composable requirements rather than a single fixed policy type. - Requirements can include: - Availability service-level objectives (SLOs) - Multi-AZ and multi-Region disaster recovery - Recovery time objectives (RTOs) - Recovery point objectives (RPOs) - Backup data recovery requirements - Example policies can define 99.95% availability, a 15-minute RTO, and a 5-minute RPO for financial applications. ## Business-Oriented Application Modeling - A **system** represents a business application. - **User journeys** describe critical end-user paths and business outcomes. - **Services** represent deployable units such as microservices, AWS resources, code, and observability components. - Resilience Hub automatically maps resource relationships into a topology showing data flow, containment, and permissions. ## Dependency Discovery - Resilience Hub analyzes VPC DNS query logs to identify dependencies that may not be documented. - It can discover: - AWS services - Internal endpoints - Third-party endpoints - Unexpected cross-Region calls - Critical external dependencies - Dependency discovery can be enabled or disabled for individual services. ## Generative AI Failure-Mode Assessments - Assessments analyze services against: - Configured resilience policies - AWS Well-Architected best practices - The AWS Resilience Analysis Framework - Findings explain the failure mode, its architectural impact, recommended remediation, and related policy requirement. - Users can add or modify assertions to guide the AI agents and improve assessment accuracy. - Findings can be marked as resolved after remediation or irrelevant when they do not apply. ## Getting Started and Enterprise Management - Users must configure an invoker IAM role granting read-only access to AWS resources. - Cross-account roles or AWS Organizations service-linked roles can support multi-account environments. - AWS Organizations integration allows a delegated administrator to assess resilience across the enterprise without signing into individual accounts. - A typical workflow is: - Create a resilience policy. - Create a system and service. - Associate resources through tags, CloudFormation, Terraform, or Amazon EKS. - Enable dependency discovery. - Run a failure-mode assessment. - Review and implement recommendations. ## Migration, Availability, and Pricing - Migration APIs convert older Resilience Hub policies and applications into the new model, including mapping multiple related applications into one system with multiple services. - The new version is generally available in supported AWS commercial Regions. - Pricing uses a service-based model and includes two failure-mode assessments per service per month, with automated dependency assessment available optionally. - AWS offers a free trial. The updated Resilience Hub is most useful for organizations that need consistent resilience standards and evidence across many AWS accounts and applications. Teams should begin by defining reusable policies, modeling critical services and dependencies, and using the AI assessments to prioritize remediation.

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awsMar 2, 2026

AWS Weekly Roundup: OpenAI partnership, AWS Elemental Inference, Strands Labs, and more (March 2, 2026) | Amazon Web Services (opens in new tab)

The March 2, 2026 AWS Weekly Roundup focuses on AWS’s expanding AI ecosystem, including a major strategic partnership with OpenAI and new tools for production AI development. It also highlights services for video transformation, enterprise security, application isolation, and agentic workloads. The broader message is that AWS is moving AI from experimentation toward scalable, enterprise-ready operations. ## OpenAI and AWS Strategic Partnership - Amazon will invest $50 billion in OpenAI: - $15 billion initially. - A further $35 billion subject to conditions. - AWS and OpenAI are developing a Stateful Runtime Environment for OpenAI models through Amazon Bedrock. - The environment allows applications to: - Preserve context and prior work. - Operate across tools and data sources. - Access compute resources. - AWS becomes OpenAI Frontier’s exclusive third-party cloud distribution provider for building and managing AI-agent teams. - The companies are expanding their existing $38 billion agreement by another $100 billion over eight years. - OpenAI plans to consume approximately 2 gigawatts of AWS Trainium capacity, including Trainium3 and Trainium4. ## Major AWS Product Launches - **AWS Security Hub Extended** - Provides integrated procurement and management for partner security products. - Includes vendors such as CrowdStrike, Okta, Splunk, Zscaler, and others. - Offers one AWS bill, pay-as-you-go pricing, unified Security Hub operations, and Level 1 support for Enterprise Support customers. - **AWS Elemental Inference** - Uses AI to transform live and on-demand video for mobile and social platforms. - Automatically creates vertical video for TikTok, Instagram Reels, and YouTube Shorts. - Extracts highlight clips with 6–10 seconds of latency. - Early media customers reported at least 34% savings on AI-powered live video workflows. - **MediaConvert Probe API** - Provides free, rapid media metadata analysis without processing the video. - Returns information such as codecs, pixel formats, and color spaces. - **OpenAI-Compatible Projects API for Amazon Bedrock** - Adds application-level isolation for generative AI workloads. - Improves access control, cost tracking, and organizational observability through OpenAI-compatible APIs. - **Amazon Location Service LLM Context** - Provides curated context for AI agents through Kiro, Claude Code, and the open Agent Skills format. - Helps developers implement location-aware features more accurately. - **Open-Source EKS Node Monitoring Agent** - Makes the agent’s implementation available for inspection, customization, and community contributions. - **AWS AppConfig and New Relic Integration** - Supports automated rollback through New Relic Workflow Automation. - Aims to reduce deployment issue detection and remediation from minutes to seconds. ## Strands Labs and Additional AWS Resources - AWS introduced **Strands Labs**, a separate organization for experimental agentic AI projects. - Its initial projects are: - Robots. - Robots Sim. - AI Functions. - Other highlighted resources cover: - Managing 6,000 AWS accounts with a three-person platform team. - Building event-driven agents with Bedrock AgentCore and Knowledge Bases. - Shifting complexity from application code into platform operations through account-per-tenant architectures. ## AWS Community Highlights - A practical guide for running effective Kiro AI coding workshops. - A comparison of traditional RAG using FAISS with GraphRAG using Neo4j to evaluate hallucination reduction in travel agents. - New AWS CLI v2 output options, including structured error output and the `off` format. ## Upcoming Events - **NVIDIA GTC 2026:** March 16–19 in San Jose, with AWS sessions, demos, and booths. - **AWS Summits:** Paris on April 1, London on April 22, and Bengaluru on April 23–24. - **AWS Community Days:** Events in Tokyo, Chennai, Slovakia, and Pune during March. AWS’s latest announcements point toward a tightly integrated AI platform combining specialized hardware, managed agent infrastructure, enterprise security, and production-focused developer tools. Organizations evaluating AI adoption should watch these services closely, particularly Bedrock’s new stateful and application-isolation capabilities and Elemental Inference’s automated media workflows.

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awsFeb 16, 2026

AWS Weekly Roundup: Amazon EC2 M8azn instances, new open weights models in Amazon Bedrock, and more (February 16, 2026) | Amazon Web Services (opens in new tab)

AWS’s February 16, 2026 roundup highlights the launch of Amazon EC2 M8azn instances, which deliver substantial performance gains for compute-intensive workloads. It also covers expanded Amazon Bedrock model and networking support, improved observability in EKS Auto Mode, more efficient OpenSearch Serverless capacity management, and configurable RDS backup settings during snapshot restoration. The post concludes with upcoming AWS conferences, summits, and community events. ## Amazon EC2 M8azn Instances - Powered by fifth-generation AMD EPYC processors with a maximum frequency of 5 GHz. - Compared with M5zn instances, they provide: - Up to 2× compute performance - 4.3× higher memory bandwidth - 10× larger L3 cache - Up to 2× networking throughput - Up to 3× EBS throughput - Built on the AWS Nitro System with sixth-generation Nitro Cards. - Available in nine sizes, from 2 to 96 vCPUs and up to 384 GiB of memory, including two bare-metal options. - Designed for high-performance workloads such as financial analytics, high-frequency trading, CI/CD, gaming, simulations, and HPC. ## New Open-Weight Models in Amazon Bedrock - Bedrock now supports six fully managed models: - DeepSeek V3.2 - MiniMax M2.1 - GLM 4.7 - GLM 4.7 Flash - Kimi K2.5 - Qwen3 Coder Next - The models target reasoning, agentic intelligence, autonomous coding, and cost-efficient production deployments. - They use Project Mantle and support OpenAI-compatible APIs. - DeepSeek V3.2, MiniMax 2.1, and Qwen3 Coder Next are also available in Kiro. ## Amazon Bedrock PrivateLink Support - AWS PrivateLink now supports the `bedrock-mantle` endpoint in addition to `bedrock-runtime`. - Project Mantle provides serverless inference, quality-of-service controls, automated capacity management, and OpenAI API compatibility. - PrivateLink support for OpenAI-compatible endpoints is available in 14 AWS Regions. ## EKS Auto Mode Logging - EKS Auto Mode now supports CloudWatch Vended Logs for managed capabilities such as: - Compute autoscaling - Block storage - Load balancing - Pod networking - Logs can be delivered to CloudWatch Logs, Amazon S3, or Amazon Data Firehose. - The feature includes AWS authentication and authorization and is offered at a lower price than standard CloudWatch Logs. ## OpenSearch Serverless Collection Groups - Collection Groups allow multiple collections to share OpenSearch Compute Units while retaining separate KMS keys and access controls. - Shared capacity can reduce OCU costs. - Administrators can define both minimum and maximum OCU limits, ensuring baseline capacity for latency-sensitive applications. ## RDS Snapshot Restore Improvements - RDS now lets users view and configure backup retention periods and preferred backup windows before or during snapshot restoration. - Restored databases no longer need post-restore backup configuration changes. - The feature supports all major RDS engines, Aurora editions, commercial AWS Regions, and GovCloud at no additional cost. ## Upcoming AWS Events - AWS Summits in Paris, London, and Bengaluru during April 2026. - AWS AI and Data Conference in Ireland on March 12, focusing on Bedrock, SageMaker, QuickSight, agent deployment, data integration, and governance. - AWS Community Days in Ahmedabad, Slovakia, and Pune. Overall, the announcements emphasize faster specialized compute, broader managed AI model access, stronger private connectivity, and improved operational controls across AWS services.

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