AWS/Generative AI

20 posts

aws4 min readCurated summary

AWS Weekly Roundup: NY Summit recap, Local Zone in Hanoi, Grok 4.3 in Bedrock, price reductions, and more (June 22, 2026) | Amazon Web Services

AWS’s June 22, 2026 roundup centers on the New York Summit’s focus on AI agents that continuously create value across work, security, software development, and customer applications. It also highlights new regional infrastructure, developer tools, Bedrock models, data capabilities, performance improvements, and several price reductions. Overall, AWS is emphasizing agent-driven automation while lowering barriers and costs for building and operating cloud workloads. ## New York Summit: Agents Across the AWS Stack - **Agents for working:** Amazon Quick supports autonomous, multi-step agents and provides a prioritized activity feed combining email, Slack, calendars, and tasks. - **Agents for securing:** AWS Continuum is an AI-native security service designed to reason about, validate, and remediate vulnerabilities across the development lifecycle. - AWS Security Agent adds threat modeling, pull-request scanning and remediation, and IDE integrations through Kiro, Claude Code, and MCP. - **Agents for building:** Kiro, AWS DevOps Agent, and AWS Transform support continuous coding, deployment, release assessment, and autonomous modernization. - Kiro now includes a native iOS app. - AWS DevOps Agent can evaluate code changes before production release. - **Agents customers create:** Amazon Bedrock AgentCore adds a generally available infrastructure and orchestration harness, Web Search, Managed Knowledge Base, Guardrails integrations, and AWS Context for mapping organizational data relationships. ## New Infrastructure and Developer Services - **AWS Local Zone in Hanoi:** The new `ap-southeast-1-han-1a` zone supports Amazon S3 and Amazon EBS Local Snapshots, helping customers satisfy local data residency and backup requirements. - **AWS Blocks:** This preview open-source TypeScript framework provides a local environment with Postgres, authentication, and real-time messaging without requiring an AWS account. Applications can later deploy to AWS without code changes, with optional CDK integration. - **AWS Management Console Private Access:** Enterprises can access the AWS Console from isolated VPCs without internet connectivity, supporting air-gapped security models. - **AWS Marketplace Storefront:** Partners can publish branded catalogs of AWS Marketplace solutions on their own websites or applications. ## AI, Data, and Agent Capabilities - **Grok 4.3 in Amazon Bedrock:** xAI’s model is available for reasoning, agentic, and enterprise workflows, with tool calling, structured output, and response streaming. - **Amazon S3 annotations:** Objects can now carry up to 1 GB of mutable, queryable context, reducing the need for separate metadata systems in AI-agent and autonomous workflows. - **Strands Agents:** The open-source toolkit adds improved Harness SDK context management, isolated execution through Strands Shell, and chaos testing and red-team capabilities in Strands Evals. - **NVIDIA-powered EC2 G7:** G7 instances use NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs and sixth-generation Intel Xeon processors, delivering up to 4.6 times the AI inference performance and 2.1 times the graphics performance of G6 instances. ## Performance and Security Improvements - **Faster Amazon ECS auto scaling:** Support for 20-second metrics reduces scale-out trigger time from 363 to 86 seconds and total scaling and task provisioning time from 386 to 109 seconds in AWS benchmarks. - **Palo Alto Networks DNS Security:** Route 53 Resolver DNS Firewall can apply PANW Advanced DNS Security protections directly, without separate firewalls or VPC changes. ## Price Reductions - **Amazon S3 Vectors:** Query charges for large vector indexes fall by up to 80%, with no application changes required. - **Amazon GameLift Servers:** Generation 6 and newer instances now include free inbound and outbound network bandwidth for both On-Demand and Spot usage. - **AWS Marketplace professional services:** Listing fees drop from 2.5% to 0.5%, reducing transaction costs for consulting, managed services, and software partners. AWS’s latest direction is to combine increasingly autonomous agents with faster infrastructure, broader model choice, stronger security, and lower operating costs. Developers and organizations should evaluate Bedrock AgentCore, AWS Blocks, S3 annotations, and the new regional and private-access options where they can simplify agent development or satisfy data and security requirements.

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Introducing Amazon Bedrock Managed Knowledge Base for faster, more accurate enterprise AI applications | Amazon Web Services

Amazon Bedrock Managed Knowledge Base is a managed service for building enterprise generative AI applications over proprietary data. It abstracts storage, retrieval, embeddings, reranking, and model selection while adding native connectors, automated parsing, and agentic retrieval. The result is a faster way to create scalable, accurate RAG-based agents without maintaining the underlying infrastructure. ## Enterprise Knowledge Base Challenges - Enterprise data is distributed across systems with different formats, permissions, and access controls. - RAG accuracy requires ongoing experimentation with parsing, chunking, embedding models, and retrieval behavior. - Organizations must support either massive knowledge bases containing millions of documents or thousands of smaller ones while controlling cost and enforcing security. - These infrastructure tasks divert developers from building application functionality. ## Managed RAG Infrastructure - Managed Knowledge Base combines storage, retrieval, embeddings, reranking, and foundation model selection into one managed primitive. - The service automatically selects and manages default embedding, reranking, and foundation models. - It can scale end-to-end RAG pipelines with only a few lines of code. - Through Amazon Bedrock AgentCore Gateway, it is available as a pre-built target with automatically generated role-based permissions, observability, and evaluation metrics. ## Native Data Connectors - Six built-in connectors ingest enterprise content and permissions directly from: - Amazon S3 - SharePoint - Confluence - Web Crawler - Google Drive - OneDrive - Connectors eliminate the need to build and maintain application-specific ingestion logic. - IAM roles are created automatically, with the option to customize permissions. ## Smart Parsing Smart Parsing automatically chooses ingestion and parsing techniques based on the source and content type. - Connector-specific models preserve important structure: - Web Crawler retains HTML structure, embedded images, and tables. - SharePoint preserves document hierarchies and relationships. - Multimodal processing detects document content types, identifies bounding boxes, and uses foundation models for extraction and captions. - Optimized chunking uses document structure and content type to balance retrieval quality and performance. - Developers can rely on defaults or customize chunking strategies for advanced use cases. ## Agentic Retriever Agentic Retriever is designed for complex questions requiring multi-step reasoning and retrieval. - It decomposes a query into a sequence of subquestions. - It performs multihop retrieval within one knowledge base or across multiple knowledge bases. - It evaluates intermediate results and stops once sufficient relevant passages have been found. - For example, it can connect a team’s cloud budget with an expense policy governing annual prepayments—something a single retrieval step might miss. - Retrieved context can then support more accurate, grounded responses from enterprise agents. ## Getting Started - Create a Managed Knowledge Base from the Amazon Bedrock AgentCore or Amazon Bedrock console. - Choose **Create Managed KB** and select **Unstructured Vector Store KB**. - Select a supported data connector and accept the optimized defaults. - After synchronization, connect the knowledge base to an agent or expose it as a tool for a foundation model. Managed Knowledge Base is best suited to teams that want production-ready enterprise RAG without assembling and operating every component themselves, while retaining customization options for specialized accuracy or governance requirements.

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Anthropic Claude Fable 5 on AWS: Mythos-class capabilities with built-in safeguards now available | Amazon Web Services

Claude Fable 5 is now available through Amazon Bedrock and Claude Platform on AWS, offering Mythos-level performance with safeguards for broader access. Anthropic highlights its ability to perform long-running tasks, analyze complex visual documents, and verify or improve its own work. Access requires specific data-sharing consent, and higher-risk requests may be routed to Claude Opus 4.8. ## Capabilities and Safeguards - Supports extended, asynchronous coding and knowledge-work tasks with minimal intervention. - Interprets diagrams, charts, tables, files, and PDFs for research, finance, legal, analytics, architecture, gaming, and software development. - Uses vision to compare implemented designs with intended goals. - Can update skills, create evaluation harnesses, and perform proactive self-verification. - Cybersecurity, biology, chemistry, and health prompts with elevated misuse risk may be handled by Opus 4.8 instead. - The unrestricted Claude Mythos 5 is limited to a small group of vetted customers. ## Accessing Fable 5 on Amazon Bedrock - Available through: - Anthropic’s Messages API using `bedrock-mantle` or `bedrock-runtime`. - AWS Invoke and Converse APIs through `bedrock-runtime`. - The Amazon Bedrock console Playground. - Model access is being expanded gradually across AWS accounts; customers can contact AWS Support for expedited access. ## Required Data Sharing - Users must opt into data sharing through the Data Retention API by setting `provider_data_share`. - No console interface is available for this setting at launch. - Anthropic requires: - 30-day retention of inputs and outputs. - Human review. - Data retention enables abuse detection across multiple interactions rather than isolated requests. - Example endpoints are provided for both `bedrock-mantle` and `bedrock-runtime`. ## SDK and API Usage - Install the Anthropic Python SDK with `pip install anthropic`. - The Messages API can be called through the Bedrock Mantle endpoint using model ID `anthropic.claude-fable-5`. - Boto3’s Converse API supports unified multi-model access through model ID `global.anthropic.claude-fable-5`. - Users can configure token limits and submit tasks such as designing a multi-region AWS architecture supporting 100,000 requests per second. ## Pricing and Routing - Requests routed to Opus 4.8 because of harmful content are charged at Opus rates. - If a conversation is blocked mid-request, initial tokens are charged at Fable rates and later tokens at Opus rates. - Pricing details are available on the Amazon Bedrock pricing page. Claude Fable 5 is best suited to ambitious, long-running workloads that benefit from advanced reasoning and document or visual understanding. Before using it, organizations should confirm account access, configure the required data-sharing settings, and evaluate whether the 30-day retention and human-review requirements fit their compliance policies.

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Try the new console experience in Amazon Bedrock, optimized for Anthropic- and OpenAI-compatible APIs | Amazon Web Services

Amazon Bedrock introduces a refreshed console centered on the `bedrock-mantle` inference engine, which supports Anthropic Messages, OpenAI Responses, and OpenAI Chat Completions APIs. The experience is designed to streamline model discovery, evaluation, application development, and production setup for GPT, Claude, and open-weight models. It complements the existing console, which remains available for features such as Agents, Knowledge Bases, Guardrails, fine-tuning, and `bedrock-runtime` APIs. ## Model Catalog and Comparison - Browse supported models in a unified catalog. - Compare up to three models by: - Capabilities and modalities - Context window and token limits - Pricing and input/output costs - Service quotas - Regional availability - Use side-by-side evaluations with identical prompts to compare model responses. ## Project-Based Workflow - Create projects that organize model assignments, evaluations, API keys, and application setup. - The project dashboard displays: - Inference requests and errors over selected date ranges - Recently used models - Total token usage - Tokens per minute - Requests per minute - Tokens per inference request - These metrics can guide model selection, prompt optimization, and workload consistency. ## Application Setup and Live Documentation - The console provides project-specific setup instructions for Anthropic and OpenAI SDKs. - Developers can select an SDK, programming language, and authentication method. - It generates terminal commands, `.env` configuration, and sample requests for quick testing. - Live API documentation automatically inserts the project’s model ID, Region, `bedrock-mantle` endpoint, and API key reference. - Documentation updates automatically when project models or settings change. ## AI Coding Agent Integration - Projects can connect coding agents such as Claude Code, Cline, Codex, Cursor, and OpenCode. - Setup instructions cover: - Installing the selected agent - Using AWS IAM credentials or Bedrock API keys - Configuring environment variables - Routing agent requests through Bedrock ## Availability The new console is available in Regions offering `bedrock-mantle`, including locations in the United States, Asia Pacific, Europe, and South America. Users can access it through the existing Bedrock console by selecting **Try the Bedrock Mantle Console**, while the traditional console remains available for fully managed Bedrock capabilities. Developers building with Anthropic- or OpenAI-compatible APIs can use the new console to move from model evaluation to application testing and deployment with less manual configuration.

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Introducing the next generation of AWS Resilience Hub for generative AI-based SRE resilience journey | Amazon Web Services

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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AWS Weekly Roundup: Anthropic & Meta partnership, AWS Lambda S3 Files, Amazon Bedrock AgentCore CLI, and more (April 27, 2026) | Amazon Web Services

This week’s AWS news centers on deeper AI infrastructure partnerships and tools for building production-ready agents. AWS and Anthropic are expanding Claude’s integration with AWS hardware and Amazon Bedrock, while Meta is adopting Graviton for large-scale agentic AI workloads. New services for Lambda, EKS, Aurora, and Bedrock also emphasize simpler data access, hybrid networking, serverless scaling, and faster agent development. ## Anthropic and Meta Expand AWS AI Partnerships - Anthropic is training advanced foundation models on AWS Trainium and Graviton processors. - Anthropic and AWS’s Annapurna Labs are co-engineering at the silicon level to improve efficiency across the stack. - Claude Cowork is now available through Amazon Bedrock, allowing enterprise teams to collaborate with Claude while keeping data within AWS. - A unified Claude Platform on AWS is planned, offering a single experience for building, deploying, and scaling Claude applications. - Meta signed an agreement to deploy tens of millions of AWS Graviton cores for CPU-intensive agentic AI tasks, including reasoning, code generation, search, and orchestration. ## New Lambda and Kubernetes Infrastructure - AWS Lambda can mount Amazon S3 buckets as file systems using S3 Files. - Functions can perform standard file operations without downloading data first. - Built on Amazon EFS, S3 Files combines file-system access with S3’s scalability, durability, and cost model. - Multiple Lambda functions can share the same workspace, supporting AI agents that need persistent memory or shared state. - The Amazon EKS Hybrid Nodes gateway simplifies networking between cloud-based EKS resources and on-premises Kubernetes Pods. - It enables pod-to-pod traffic, control-plane webhook communication, and access to AWS services without making on-premises pod networks routable. - The gateway is available at no additional charge. ## Aurora Serverless and Bedrock Agent Development - Aurora Serverless now offers up to 30% better performance on platform version 4. - Its scaling algorithm better handles competing workloads, including busy APIs and bursty agentic AI applications. - The service continues to scale to zero during idle periods, with no additional charge for the improvements. - Amazon Bedrock AgentCore adds a managed harness in preview, allowing developers to define a model, system prompt, and tools without writing orchestration code. - Harnesses can later be exported as Strands-based code for greater control. - The AgentCore CLI supports governed, auditable deployments through AWS CDK, with Terraform support planned. - The CLI is available in 14 AWS Regions at no additional charge, and AgentCore skills support coding assistants. ## Cost Management, Operations, and Machine Learning - Granular cost attribution for Amazon Bedrock enables teams to track usage by project or organization and support detailed chargeback. - AWS DevOps Agent can work with the Salesforce MCP Server to investigate incidents, diagnose causes, and notify customers through Salesforce Service Cloud. - AWS microcredentials are now free through AWS Skill Builder in supported countries. - These hands-on assessments use simulated business scenarios and live AWS environments rather than traditional multiple-choice testing. - Amazon SageMaker AI can recommend optimized generative AI inference configurations, including instance types, containers, and inference parameters, helping reduce latency and deployment costs. ## Upcoming AWS Events - “What’s Next with AWS” is scheduled as a virtual event on April 28. - AWS Summits continue in May across cities including Singapore, Tel Aviv, Warsaw, Stockholm, Sydney, Hamburg, Seoul, Amsterdam, Bangkok, and Milan. AWS’s latest releases point toward a more integrated AI platform: specialized hardware for model execution, managed agent tooling, shared state through serverless storage, and stronger cost and operational controls. Builders should evaluate S3 Files and AgentCore for AI workflows, while teams running production inference can benefit from SageMaker recommendations and Bedrock’s improved cost attribution.

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AWS Weekly Roundup: NVIDIA Nemotron 3 Super on Amazon Bedrock, Nova Forge SDK, Amazon Corretto 26, and more (March 23, 2026) | Amazon Web Services

This week’s AWS roundup highlights major updates across generative AI, data analytics, Java, serverless, logging, and Kubernetes. Notable announcements include NVIDIA Nemotron 3 Super on Amazon Bedrock, the Nova Forge SDK for customizing models, faster Redshift queries, and expanded EKS scaling and availability guarantees. The roundup also points readers to community initiatives, developer resources, and upcoming AWS events. ## Generative AI and Developer Tools - **NVIDIA Nemotron 3 Super** is now available through Amazon Bedrock. - Supports text generation, reasoning, summarization, and code generation. - Can be invoked through Bedrock’s unified API without managing infrastructure. - **Nova Forge SDK** simplifies fine-tuning and customizing Amazon Nova models. - Enables domain-specific adaptations for enterprise use cases. - Handles much of the underlying customization and deployment complexity. - **Kiro for students** provides free access to AI-powered development tools. - **Strands Steering Hooks** reportedly achieved 100% agent accuracy, outperforming prompt engineering and rigid workflows for controlling agent behavior. ## Data, Java, and Serverless Updates - **Amazon Redshift** now delivers up to 7x faster execution for new, uncached queries in dashboards and ETL workloads. - The improvement is especially useful for workloads with high query variability. - **Amazon Corretto 26** is generally available. - Includes current Java features, performance improvements, and security updates. - Supports Amazon Linux, Windows, macOS, and Docker environments. - **AWS Lambda** now exposes Availability Zone metadata for function invocations. - Helps with observability, troubleshooting, latency analysis, and multi-AZ architecture decisions. - **CloudWatch Logs** supports log ingestion through an HTTP-based protocol, reducing the need for custom agents or SDK integrations. ## Amazon EKS Enhancements - Provisioned Control Plane clusters now receive a **99.99% SLA**, compared with 99.95% for the standard control plane. - A new **8XL scaling tier** doubles Kubernetes API server request-processing capacity compared with the 4XL tier. - The larger tier targets demanding workloads such as AI/ML training, HPC, and large-scale data processing. ## AWS Community and Events - **AWS Builder Center badges** recognize contributions, challenges, and community participation. - AWS promotes community-driven learning through the “Keep Building Together” initiative. - Upcoming events include AWS Summits in cities such as Paris, London, Bengaluru, Singapore, Tel Aviv, and Stockholm; AWS Community Days in San Francisco and Romania; and the AWSome Women Summit LATAM in Mexico City. Overall, the announcements emphasize AWS’s continued investment in enterprise AI customization, higher-performance infrastructure, improved observability, and developer communities. Teams should evaluate the new Bedrock, Redshift, Lambda, and EKS capabilities according to their workload scale, reliability, and customization needs.

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

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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AWS Weekly Roundup: Claude Sonnet 4.6 in Amazon Bedrock, Kiro in GovCloud Regions, new Agent Plugins, and more (February 23, 2026) | Amazon Web Services

AWS’s February 23, 2026 roundup highlights continued investment in AI-assisted development, cloud infrastructure, and production-grade agents. Major launches include Claude Sonnet 4.6 in Amazon Bedrock, Kiro for GovCloud, customizable SageMaker deployments for Nova models, and new EC2 and Aurora capabilities. The post also points developers toward agent tooling, operational best practices, community resources, and upcoming events. ## Developer Conferences and AI Collaboration - AWS teams discussed “renascent software,” where humans and AI work together as co-developers through Kiro. - Developer Week sessions focused on: - Agent memory - Multi-agent architectures - Meta-tooling - Hooks - Production deployment of AI agents - At dev/nexus in Atlanta, AWS speakers will cover AI agents with Spring and MCP, along with AI-assisted Java modernization. ## Major AWS Launches - **Claude Sonnet 4.6 in Amazon Bedrock** - Provides near-Opus 4.6 intelligence at lower cost. - Targets coding, agent workloads, and professional knowledge work. - Designed for fast, high-quality task completion at scale. - **Amazon EC2 Hpc8a instances** - Powered by 5th Gen AMD EPYC processors. - Deliver up to 40% higher performance, increased memory bandwidth, and 300 Gbps Elastic Fabric Adapter networking. - Intended for simulations, engineering, and tightly coupled HPC workloads. - **Custom Amazon Nova models with SageMaker Inference** - Supports configuration of instance types, auto-scaling policies, and concurrency. - Enables deployments to be tuned for specific performance and cost requirements. - **Nested virtualization on EC2** - Allows KVM or Hyper-V virtual machines to run inside virtual EC2 instances. - Supports mobile emulators, automotive hardware simulation, and Windows Subsystem for Linux environments. - **Aurora encryption by default** - New database clusters automatically use server-side encryption with AWS-owned keys. - Encryption is transparent, fully managed, and has no additional cost or performance impact. - **Kiro in AWS GovCloud** - Brings Kiro’s agentic development capabilities to teams working on government missions. - Supports regulated environments requiring stringent security controls. ## Agent Tools and Operational Reliability - AWS introduced open-source **Agent Plugins for AWS** that add AWS-specific skills to coding agents. - The `deploy-on-aws` plugin can generate: - Architecture recommendations - Cost estimates - Infrastructure-as-code - AWS also highlighted automated reasoning research led by Byron Cook, applying formal verification techniques to AI-generated code and critical agent decisions. - Recommended practices for AWS DevOps Agent focus on configuring Agent Spaces to balance broad investigation capabilities with operational efficiency. - AWS reports that DevOps Agent has handled thousands of escalations and achieved an estimated root-cause identification rate above 86% within Amazon. ## Community Projects and Resources - Community content includes: - A practical guide to AWS for developers entering their first job. - An AI agent that automates job searching. - A Kiro Power integrating 25 MCP tools, 10 steering guides, and structured development guidance. - AWS encourages developers to use the AWS Builder Center to exchange knowledge and discover community content. ## Upcoming Events and Hackathons - 2026 AWS Summits are scheduled for Paris, London, and Bengaluru. - The six-week Amazon Nova AI Hackathon runs through March 16, with $40,000 in prizes across areas such as agentic AI, multimodal applications, UI automation, and voice. - Upcoming AWS Community Days include events in Ahmedabad, Tokyo, Chennai, Slovakia, and Pune. Developers interested in AI-assisted coding, agent operations, or high-performance cloud workloads should explore the new Bedrock, Kiro, SageMaker, and Agent Plugin capabilities, while using AWS events and community forums for practical guidance.

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

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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AWS Weekly Roundup: Claude Opus 4.6 in Amazon Bedrock, AWS Builder ID Sign in with Apple, and more (February 9, 2026) | Amazon Web Services

The February 9, 2026 AWS roundup highlights updates across infrastructure, security, databases, and AI. Major announcements include new EC2 instances, cross-account DynamoDB replication, improved identity controls, CloudFront mutual TLS, Claude Opus 4.6 in Bedrock, and structured model outputs. AWS also announced AWS Community Day Romania for April 23–24, 2026. ## Compute, Networking, and Configuration - **New EC2 C8id, M8id, and R8id instances** - Powered by custom Intel Xeon 6 processors. - Deliver up to 43% higher performance and 3.3× more memory bandwidth than previous-generation instances. - **AWS Network Firewall price reductions** - Reduces hourly and data-processing costs for NAT Gateways service-chained with Network Firewall secondary endpoints. - Removes additional data-processing charges for Advanced Inspection and TLS inspection. - **Amazon ECS Network Load Balancer support** - Enables managed linear and canary deployments for applications using NLBs. - Supports TCP/UDP workloads, low-latency services, long-lived connections, and static IP requirements. - **Expanded AWS Config coverage** - Adds support for 30 resource types across services such as Amazon EKS, Amazon Q, and AWS IoT. - Improves resource discovery, auditing, assessment, and remediation. ## Databases and Operations - **Cross-account DynamoDB global table replication** - Allows multi-Region, multi-active tables to replicate across AWS accounts. - Improves resilience, account-level workload isolation, and independent security and governance controls. - **Improved Amazon RDS connection experience** - Generates connection snippets for Java, Python, Node.js, `psql`, and other tools. - Adjusts examples automatically for authentication settings, including IAM token-based authentication. - Adds CloudShell integration for connecting to databases directly from the RDS console. ## Identity and Security - **AWS Builder ID adds Sign in with Apple** - Apple users can access services such as AWS Builder Center, Training and Certification, re:Post, AWS Startups, and Kiro. - Complements the existing Google sign-in option. - **More identity-provider claim validation in AWS STS** - Supports selected claims from Google, GitHub, CircleCI, and OCI. - These claims can be used as condition keys in IAM trust policies and resource control policies for more precise federated-access controls and data perimeters. - **Account names in the AWS Management Console** - Displays the account name in the navigation bar, making it easier to distinguish between authorized AWS accounts. - **CloudFront origin mutual TLS** - Lets CloudFront authenticate to origins using certificates. - Helps restrict backend access to verified CloudFront distributions across AWS, on-premises, third-party cloud, and external CDN environments. ## AI and Amazon Bedrock - **Claude Opus 4.6 available in Amazon Bedrock** - Anthropic’s latest model targets complex coding, agentic tasks, enterprise workflows, and professional work requiring deep reasoning and reliability. - **Structured outputs in Amazon Bedrock** - Models can return responses matching developer-defined JSON schemas. - Reduces the need for prompt-based JSON enforcement and additional validation, making production integrations more predictable. ## Upcoming AWS Event - **AWS Community Day Romania — April 23–24, 2026** - Features more than 10 technical sessions from AWS Heroes, Solutions Architects, and industry experts. - Includes networking opportunities for developers, architects, entrepreneurs, and students. These updates emphasize stronger infrastructure performance, better multi-account governance, more secure authentication, and more reliable AI application development. Teams should evaluate the new services based on their networking, resiliency, identity, and structured-output requirements.

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AWS Weekly Roundup: Amazon Bedrock agent workflows, Amazon SageMaker private connectivity, and more (February 2, 2026) | Amazon Web Services

The AWS Weekly Roundup highlights new capabilities for AI agents, private connectivity, encryption management, and resilience testing. Major launches include Bedrock server-side tools and longer prompt caching, SageMaker Unified Studio support for PrivateLink, and S3 encryption changes without data movement. Additional updates strengthen event-driven architectures, observability, zero-trust access, and AI-assisted AWS deployments. ## AI Agents and Developer Workflows - Amazon Bedrock’s Responses API now supports server-side tools such as web search, code execution, and database updates within AWS security boundaries. - Bedrock also offers a one-hour prompt-cache TTL for select Anthropic Claude models, improving performance and reducing costs for long-running, multi-turn agents. - AWS MCP Server deployment SOPs, currently in preview, let agents deploy applications from natural-language prompts using CDK, CloudFormation, and CI/CD workflows. - The deployment preview supports React, Vue.js, Angular, and Next.js through tools such as Kiro, Cursor, and Claude Code. - CloudWatch Application Signals integration with Kiro provides AI-assisted investigation of service health, SLO compliance, and observability issues. ## Private Connectivity and Zero-Trust Security - SageMaker Unified Studio now supports AWS PrivateLink, allowing VPC traffic to remain within the AWS network instead of traversing the public internet. - IAM policies can govern private SageMaker connectivity for stricter security and compliance requirements. - AWS Verified Access guidance demonstrates centralized zero-trust application access across multi-account environments using IAM Identity Center and AWS RAM. - AWS Network Firewall adds predefined web categories for identifying and controlling generative AI application traffic, with full-URL filtering available alongside TLS inspection. ## Storage, Encryption, and Database Performance - Amazon S3’s `UpdateObjectEncryption` API changes encryption for existing objects without moving or re-uploading data. - Supported operations include switching from SSE-S3 to SSE-KMS, rotating customer-managed KMS keys, and standardizing encryption with S3 Batch Operations. - Amazon Keyspaces table pre-warming prepares tables for predictable high-throughput workloads, reducing throttling and cold-start delays during traffic spikes. - Pre-warming works with on-demand and provisioned capacity, including multi-Region tables. - DynamoDB MRSC global tables now integrate with AWS Fault Injection Service, enabling simulated Regional failures and validation of replication and application resilience. ## Event-Driven Systems and Observability - EventBridge’s event payload limit increased from 256 KB to 1 MB, allowing events to carry richer JSON, telemetry, ML, and generative AI data without external storage or fragmentation. - Lambda’s enhanced observability for Kafka event source mappings adds CloudWatch logs and metrics for polling, scaling, processing state, permissions, and failures. - The feature supports both Amazon MSK and self-managed Apache Kafka sources. ## CloudFormation and Community - AWS’s 2025 CloudFormation review covers improved troubleshooting, drift-aware change sets, stack refactoring, StackSets, the CloudFormation language server, and IaC MCP tooling. - AWS Community Day Romania will take place April 23–24, 2026, featuring technical sessions, AWS experts, and networking opportunities. Together, these updates point toward more private, observable, resilient, and AI-assisted AWS operations. Teams should evaluate the new capabilities against their security, scalability, and automation needs, particularly Bedrock agent tooling, S3 encryption updates, PrivateLink connectivity, and resilience testing.

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AWS Weekly Roundup: Amazon EC2 G7e instances, Amazon Corretto updates, and more (January 26, 2026) | Amazon Web Services

AWS’s January 26, 2026 roundup highlights new GPU infrastructure, Java updates, container optimization, expanded observability, and more flexible Amazon Connect workflows. The main launch is EC2 G7e, powered by NVIDIA Blackwell GPUs and designed for demanding AI inference, spatial computing, and scientific workloads. AWS also announced regional expansions and upcoming community and re:Invent-focused events. ## Amazon EC2 G7e Instances - Generally available in US East (N. Virginia) and US East (Ohio). - Powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. - Deliver up to 2.3× the inference performance of G6e instances. - Provide twice the GPU memory and support configurations with up to eight GPUs and 768 GB of total GPU memory. - Can run medium-sized models of up to 70 billion parameters using FP8 precision on a single GPU. - Target generative AI inference, spatial computing, and scientific computing. ## Amazon Corretto Security Updates - AWS released January 2026 quarterly security and critical updates for supported OpenJDK versions. - New releases include: - Corretto 25.0.2 - Corretto 21.0.10 - Corretto 17.0.18 - Corretto 11.0.30 - Corretto 8u482 - Updates provide current security patches and performance improvements for Java applications. ## Amazon ECR Layer Sharing - Amazon Elastic Container Registry now supports cross-repository layer sharing through blob mounting. - Common image layers can be reused across repositories rather than uploaded repeatedly. - This can speed up image pushes and reduce storage costs by storing shared layers once. ## CloudWatch Database Insights Expansion - On-demand Database Insights is now available in: - Asia Pacific (New Zealand) - Asia Pacific (Taipei) - Asia Pacific (Thailand) - Mexico (Central) - The machine-learning-powered feature helps identify database performance bottlenecks and recommends remediation steps. ## Amazon Connect Guided Experiences - Step-by-Step Guides now support conditional logic and real-time data updates. - Managers can configure interfaces that show or hide fields, change default values, and modify required fields based on earlier inputs. - Automatic refreshes from Amazon Connect resources help agents work with current information. ## Upcoming AWS Events - **Best of AWS re:Invent:** A free virtual event on January 28–29 featuring curated announcements, technical sessions, leadership insights, and live Q&A. - **AWS Community Day Ahmedabad:** A free, community-led conference on February 28, 2026, with technical talks, demos, networking, and real-world use cases. - AWS encourages builders to use the AWS Builder Center to discover additional virtual and in-person events. AWS customers working with AI should consider evaluating G7e instances, while Java teams should apply the latest Corretto updates. ECR users can also benefit from shared layers to improve container delivery efficiency and reduce costs.

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Announcing Amazon EC2 G7e instances accelerated by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs (opens in new tab)

Amazon has announced the general availability of EC2 G7e instances, a new hardware tier powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs designed for generative AI and high-end graphics. These instances deliver up to 2.3 times the inference performance of their G6e predecessors while providing significant upgrades to memory and bandwidth. This launch aims to provide a cost-effective solution for running medium-sized AI models and complex spatial computing workloads at scale. **Blackwell GPU and Memory Advancements** * The G7e instances feature NVIDIA RTX PRO 6000 Blackwell GPUs, which provide twice the memory and 1.85 times the memory bandwidth of the G6e generation. * Each GPU provides 96 GB of memory, allowing users to run medium-sized models—such as those with up to 70 billion parameters—on a single GPU using FP8 precision. * The architecture is optimized for both spatial computing and scientific workloads, offering the highest graphics performance currently available in the EC2 portfolio. **High-Speed Connectivity and Multi-GPU Scaling** * To support large-scale models, G7e instances utilize NVIDIA GPUDirect P2P, enabling direct communication between GPUs over PCIe interconnects with minimal latency. * These instances offer four times the inter-GPU bandwidth compared to the L40s GPUs found in G6e instances, facilitating more efficient data transfer in multi-GPU configurations. * Total GPU memory can scale up to 768 GB within a single node, supporting massive inference tasks across eight interconnected GPUs. **Networking and Storage Performance** * G7e instances provide up to 1,600 Gbps of network bandwidth, a four-fold increase over previous generations, making them suitable for small-scale multi-node clusters. * Support for NVIDIA GPUDirect Remote Direct Memory Access (RDMA) via Elastic Fabric Adapter (EFA) reduces latency for remote GPU-to-GPU communication. * The instances support GPUDirect Storage with Amazon FSx for Lustre, achieving throughput speeds up to 1.2 Tbps to ensure rapid model loading and data processing. **System Specifications and Configurations** * Under the hood, G7e instances are powered by Intel Emerald Rapids processors and support up to 192 vCPUs and 2,048 GiB of system memory. * Local storage options include up to 15.2 TB of NVMe SSD capacity to handle high-speed data caching and local processing. * The instance family ranges from the g7e.2xlarge (1 GPU, 8 vCPUs) to the g7e.48xlarge (8 GPUs, 192 vCPUs). For developers ready to transition to Blackwell-based architecture, these instances are accessible through AWS Deep Learning AMIs (DLAMI). They represent a major step forward for organizations needing to balance the high memory requirements of modern LLMs with the cost efficiencies of the G-series instance family.

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AWS Weekly Roundup: AWS re:Invent keynote recap, on-demand videos, and more (December 8, 2025) (opens in new tab)

The December 8, 2025, AWS Weekly Roundup recaps the major themes from AWS re:Invent, signaling a significant industry transition from AI assistants to autonomous AI agents. While technical innovation in infrastructure remains a priority, the event underscored that developers remain at the heart of the AWS mission, empowered by new tools to automate complex tasks using natural language. This shift represents a "renaissance" in cloud computing, where purpose-built infrastructure is now designed to support the non-deterministic nature of agentic workloads. ## Community Recognition and the Now Go Build Award * Raphael Francis Quisumbing (Rafi) from the Philippines was honored with the Now Go Build Award, presented by Werner Vogels. * A veteran of the ecosystem, Quisumbing has served as an AWS Hero since 2015 and has co-led the AWS User Group Philippines for over a decade. * The recognition emphasizes AWS's continued focus on community dedication and the role of individual builders in empowering regional developer ecosystems. ## The Evolution from AI Assistants to Agents * AWS CEO Matt Garman identified AI agents as the next major inflection point for the industry, moving beyond simple chat interfaces to systems that perform tasks and automate workflows. * Dr. Swami Sivasubramanian highlighted a paradigm shift where natural language serves as the primary interface for describing complex goals. * These agents are designed to autonomously generate plans, write necessary code, and call various tools to execute complete solutions without constant human intervention. * AWS is prioritizing the development of production-ready infrastructure that is secure and scalable specifically to handle the "non-deterministic" behavior of these AI agents. ## Core Infrastructure and the Developer Renaissance * Despite the focus on AI, AWS reaffirmed that its core mission remains the "freedom to invent," keeping developers central to its 20-year strategy. * Leaders Peter DeSantis and Dave Brown reinforced that foundational attributes—security, availability, and performance—remain the non-negotiable pillars of the AWS cloud. * The integration of AI agents is framed as a way to finally realize material business returns on AI investments by moving from experimental use cases to automated business logic. To maximize the value of these updates, organizations should begin evaluating how to transition from simple LLM implementations to agentic frameworks that can execute end-to-end business processes. Reviewing the on-demand keynote sessions from re:Invent 2025 is recommended for technical teams looking to implement the latest secure, agent-ready infrastructure.