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Amazon Bedrock

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aws3 min readCurated summary

AWS Weekly Roundup: AWS Local Zones in Istanbul, open-source ExtendDB, Kiro Web, and more (May 25, 2026) | Amazon Web Services

AWS’s latest updates focus on expanding regional infrastructure, improving developer workflows, and making cloud and AI services more portable. The Istanbul Local Zone strengthens data residency and low-latency capabilities in Türkiye, while tools such as ExtendDB, OpenAI-compatible SageMaker APIs, and Kiro Web reduce migration and development friction. Together, these releases emphasize flexibility, operational resilience, and easier local testing. ## AWS Local Zone in Istanbul - AWS opened a new Local Zone in Istanbul, Türkiye. - It provides nearby compute, storage, and networking with single-digit millisecond latency. - Organizations can keep and process data within Turkish borders to support residency and compliance requirements. - The zone supports latency-sensitive workloads in sectors such as finance, government, telecommunications, and healthcare. - Applications can combine Istanbul infrastructure with the broader AWS Region, enabling hybrid architectures without operating a private data center. ## Security and AI Service Updates - **Security Hub Extended** now integrates with 21 curated partner solutions across nine security categories, including endpoint protection, threat intelligence, and cloud security posture management. - **Amazon SageMaker AI** supports OpenAI-compatible inference APIs, allowing existing OpenAI-based applications to use SageMaker with minimal or no SDK changes. - **Secrets Manager Agent** can pre-fetch secrets at startup, reducing cold-start delays, and can assume IAM roles for workloads with different permission boundaries. - **Amazon Bedrock** introduced tools for advanced prompt optimization and migration across foundation models. ## Open-Source and Local Development Tools - AWS open-sourced **ExtendDB**, a DynamoDB-compatible adapter for alternative storage backends. - It supports local development and testing without a live AWS connection. - It can help teams retain DynamoDB API semantics while controlling the underlying storage layer. - **AWS SAM CLI** now supports CloudFormation Language Extensions locally, improving consistency between local testing and production deployments. ## Developer Experience and Reliability - **Kiro Web** brings AWS’s AI-assisted, spec-driven development environment to browsers, providing access to chat and agent capabilities without installing the desktop IDE. - AWS updated default retry behavior across SDKs and CLI tools. - Improvements include smarter backoff and better throttling handling. - Production applications should become more resilient to transient failures without additional configuration. ## Container Image Changes - Bitnami images are being removed from Amazon ECR Public. - Teams currently using those images should review the migration timeline and update image references to Bitnami’s own registry to avoid interruptions. ## Upcoming AWS Events - AWS Summit Amsterdam: May 27 - AWS Summit Bangkok: May 28 - AWS Summit Milan: May 28 Builders should evaluate the Istanbul Local Zone for residency- or latency-sensitive systems, consider ExtendDB and SAM improvements for local workflows, and review the Bitnami registry change before images are removed from ECR Public.

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Amazon BedrockAIAWSServerless+4
aws3 min readCurated summary

AWS Weekly Roundup: AWS Transform at 1 year, Claude Platform on AWS, EC2 M3 Ultra Mac instances, and more (May 18, 2026) | Amazon Web Services

AWS’s May 18, 2026 roundup highlights the rapid expansion of AI-assisted modernization, cloud infrastructure, and developer tooling. AWS Transform reached its first anniversary after processing billions of lines of code and migrating hundreds of thousands of servers, while new services provide direct Claude access, stronger Mac development hardware, improved analytics, and automated security remediation. The roundup also covers multicloud connectivity, AI research funding, community events, and startup credits. ## AWS Transform Reaches Its First Anniversary - AWS Transform launched a year earlier for modernizing .NET, mainframe, and VMware workloads. - New capabilities include: - Custom AWS-managed or user-defined code transformations - Language and framework upgrades - Performance optimization and code analysis - Full-stack Windows modernization - Mainframe reimagining and automated testing - In its first 12 months, customers: - Migrated hundreds of thousands of servers - Saved more than 1.6 million hours - Processed over 4.5 billion lines of code - AWS Transform agents are now available in Kiro, Claude, Cursor, and Codex. ## Major Product Launches - **Claude Platform on AWS:** Provides Anthropic’s native Claude APIs, console, and beta features through existing AWS accounts and billing. Anthropic operates the service, and customer data is processed outside the AWS security boundary. - **EC2 M3 Ultra Mac instances:** Use Apple M3 Ultra Mac Studio hardware with a 28-core CPU, 60-core GPU, 32-core Neural Engine, and 256 GB of unified memory. Compared with M4 Max instances, they offer more CPU, GPU, Neural Engine cores, and memory for parallel Xcode simulators and on-device machine learning. - **Redshift RG instances:** AWS Graviton-based instances run workloads up to 2.4 times faster than previous RA3 instances while costing 30% less per vCPU. They include a vectorized engine for Apache Iceberg and Parquet data. - **Bedrock Advanced Prompt Optimization:** Compares original and optimized prompts across as many as five models, helping users improve performance or migrate between models. - **AWS Security Agent repository scanning:** The preview feature analyzes entire codebases and generates fixes linked to specific files and lines. It is free for existing Security Agent customers during the preview. - **AWS Interconnect for OCI:** Enables private, resilient multicloud connections to Oracle Cloud Infrastructure. The same open specification already supports Google Cloud and is planned for Azure later in 2026. ## Research, Community, and Startup Updates - AWS is investing $110 million in the Build on Trainium program to give university researchers access to purpose-built AI chips. - Research at institutions including UC Berkeley, MIT, and Carnegie Mellon is open source, allowing improvements to benefit the broader developer community. - AWS Community Days 2026 will take place globally, with agendas organized by local developer communities. - The Kiro Startups Credit program has reopened, offering eligible organizations up to one year of Kiro Pro+ credits applied through AWS accounts. AWS’s latest updates emphasize managed AI tools, faster specialized hardware, automated modernization, and broader support for developers and researchers. Organizations can particularly benefit by evaluating AWS Transform, Bedrock prompt optimization, new Mac instances, and the expanding multicloud connectivity options.

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Amazon BedrockAmazon Ec2ClaudeApache Iceberg+3
aws2 min readCurated summary

Amazon Bedrock introduces new advanced prompt optimization and migration tool | Amazon Web Services

Amazon Bedrock Advanced Prompt Optimization automatically rewrites prompts to improve performance or support migration between models. It compares original and optimized prompts across up to five Bedrock models using example inputs, reference answers, and configurable evaluation methods. The tool supports text and multimodal inputs, then reports quality scores, estimated costs, and latency. ## Prompt Optimization and Model Migration - Users can optimize prompts for their current model or compare a baseline model with up to four alternatives. - Bedrock runs prompts against supplied examples, evaluates the responses, and iteratively rewrites the prompt. - Results include: - Original and optimized prompt templates - Evaluation scores - Cost estimates - Latency information - The process can identify regressions in established use cases and improve weaker tasks. ## Multimodal and Dataset Support - Prompt templates and evaluation examples are supplied in JSONL format. - Each JSON object must appear on a single line. - Supported multimodal inputs include: - PNG and JPG images - PDF documents - Files can be uploaded directly or imported from Amazon S3. - Optimization results and evaluation data can also be written to an S3 location. ## Evaluation Methods Users can select one evaluation approach per prompt template: - **Lambda-based evaluation** - Uses custom Python scoring logic for metrics such as accuracy, F1, execution accuracy, or structured JSON matching. - The function compares model outputs with reference responses. - **LLM-as-a-judge** - Uses a custom rubric with named metrics, structured instructions, and rating scales. - Bedrock’s judge model evaluates responses and provides scores with reasoning. - Claude Sonnet 4.6 is the default judge, though other supported judge models can be selected. - **Natural-language steering criteria** - Describes desired qualities such as brand voice, formatting, or safety constraints. - A default LLM judge evaluates responses holistically against those criteria. ## Getting Started and Availability - Start from **Create prompt optimization** in the Amazon Bedrock console or use the `CreateAdvancedPromptOptimizationJob` API. - Optimization is available in selected AWS Regions across North America, Europe, Asia-Pacific, Canada, and South America. - Pricing is based on Bedrock inference tokens consumed during optimization, using standard per-token inference rates. The tool is most useful when teams need measurable prompt improvements or want to migrate applications to another model. Preparing representative evaluation examples and choosing an appropriate scoring method will be essential for producing reliable optimization results.

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Amazon BedrockLarge Language ModelsMultimodal AIAmazon S3+3
aws2 min readCurated summary

Modernize your workflows: Amazon WorkSpaces now gives AI agents their own desktop (preview) | Amazon Web Services

Amazon WorkSpaces now lets AI agents operate desktop and legacy applications directly, eliminating the need to build APIs or modernize existing software. Agents use managed virtual desktops with IAM authentication, security controls, and auditability through CloudTrail and CloudWatch. The feature is in public preview and supports agent frameworks through the Model Context Protocol (MCP). ## The Challenge of Legacy Applications - Many enterprises depend on applications without modern APIs: - 75% of organizations reportedly run legacy applications. - 71% of Fortune 500 companies rely on mainframe-based processes with limited programmatic access. - Organizations can either delay AI adoption or undertake costly, risky modernization projects. ## AI Agents in Secure WorkSpaces - AI agents operate desktop applications inside managed WorkSpaces environments. - Agents authenticate with AWS Identity and Access Management (IAM). - Existing security and compliance controls remain in place because agents do not run on local machines. - AWS CloudTrail and Amazon CloudWatch provide audit trails. - WorkSpaces supports MCP, making it compatible with frameworks such as LangChain, CrewAI, and Strands Agents. ## Configuring Agent Access - Administrators create a WorkSpaces Applications stack and enable the **Add AI Agents** option. - Agent capabilities can include: - **Computer input:** Clicking, typing, and scrolling. - **Computer vision:** Capturing screenshots so the agent can interpret the interface. - **Screenshot storage:** Saving session images for auditing and debugging. - Administrators define screen resolution and image format. The example uses 1280×720 resolution and PNG images. - Agents connect through a managed MCP endpoint using IAM credentials. ## Automating Unmodified Desktop Workflows - A Strands Agent SDK and Amazon Bedrock example completes a prescription refill by: - Looking up a patient record. - Searching for medication. - Placing the order. - Confirming the refill. - The pharmacy application requires no API, code changes, migration, or awareness that an agent is controlling it. ## Availability - The feature is in public preview at no additional cost. - It is available in selected AWS Regions across the United States, Canada, Europe, and Asia. - Developers can begin with AWS’s GitHub repository or the Amazon WorkSpaces product page. Organizations can use WorkSpaces as a governed execution environment for AI agents, allowing them to automate legacy desktop workflows while postponing or avoiding extensive application modernization.

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Amazon BedrockAI AgentsModel Context ProtocolAmazon Cloudwatch+4
aws4 min readCurated summary

AWS Weekly Roundup: What’s Next with AWS 2026, Amazon Quick, OpenAI partnership, and more (May 4, 2026) | Amazon Web Services

The AWS weekly roundup highlights a major shift toward agentic AI across Amazon’s products and its partnership with OpenAI. The biggest announcements include expanded Amazon Quick capabilities, four specialized Amazon Connect solutions, and OpenAI models and Codex becoming available through Amazon Bedrock. AWS also introduced new EC2 instances, agent optimization tools, Ruby 4.0 support for Lambda, and a transition plan from Amazon Q Developer to Kiro. ## What’s Next with AWS 2026 - AWS and OpenAI executives presented new ways businesses are using AI agents to automate operations. - The announcements centered on Amazon Quick, Amazon Connect, and deeper integration with OpenAI through Amazon Bedrock. ## Amazon Quick Expands Beyond Chat - A new desktop app, currently in preview, connects Quick to local files, calendars, and communications without requiring a browser. - Users can sign up with a personal email or Google, Apple, GitHub, or Amazon credentials; an AWS account is not required. - Quick can generate: - Documents - Presentations - Infographics - Images - New integrations include Google Workspace, Zoom, Airtable, Dropbox, and Microsoft Teams. - The preview “Build custom apps with Quick” feature lets users create intelligent applications, dashboards, and web pages using natural-language instructions. ## Amazon Connect Becomes Four Agentic AI Products - **Amazon Connect Decisions** applies Amazon’s operational expertise and supply-chain tools to help organizations move from reactive crisis management to proactive planning. - **Amazon Connect Talent** provides AI-led interviews, science-backed assessments, and consistent candidate evaluations for large-scale hiring. - **Amazon Connect Customer**, the renamed customer-service product, supports personalized voice, chat, and digital experiences, with conversational AI that can be configured in weeks. - **Amazon Connect Health** supports patient verification, appointment management, patient insights, ambient documentation, and medical coding. ## OpenAI Partnership Expands Through Amazon Bedrock - OpenAI models, including GPT-5.5 and GPT-5.4, are coming to Bedrock in limited preview. - Customers can use existing Bedrock APIs with AWS security, governance, and cost controls, without managing new infrastructure. - **Codex on Amazon Bedrock** brings OpenAI’s coding agent into AWS environments: - Authentication uses AWS credentials. - Inference runs through Bedrock. - Usage can count toward AWS cloud commitments. - Initial access includes the Codex CLI, desktop app, and Visual Studio Code extension. - **Bedrock Managed Agents powered by OpenAI** combines OpenAI models with AWS infrastructure and the OpenAI harness for long-running, production-oriented agent workflows. ## New EC2 Instance Families - **M8in and M8ib** instances are generally available, offering up to 43% higher performance than M6in and M6ib. - M8in provides up to 600 Gbps of network bandwidth. - M8ib provides up to 300 Gbps of EBS bandwidth. - **R8in and R8ib** target memory-intensive workloads such as commercial databases, data lakes, and SAP HANA. - **C8ine and M8ine** provide up to 2.5 times higher packet performance per vCPU and up to twice the internet-gateway throughput of their predecessors. - These network-optimized instances are designed for virtual firewalls, load balancers, security appliances, and 5G user-plane workloads. ## AgentCore and Lambda Updates - Bedrock AgentCore Optimization, in preview, adds: - Production-trace analysis - Recommendations for system prompts and tool descriptions - Batch evaluations - A/B testing against live traffic - Recommendations require human approval before deployment. - AWS Lambda now supports Ruby 4.0 as a managed runtime and container base image. - Ruby 4.0 support includes advanced logging features such as structured JSON logs, configurable log levels, and custom CloudWatch log groups. ## Amazon Q Developer Moves Toward Kiro - Amazon Q Developer IDE plugins and paid subscriptions will reach end of support on April 30, 2027. - New signups will be blocked beginning May 15, 2026. - Existing subscriptions can continue adding users until then. - Opus 4.6 will leave Q Developer Pro on May 29, 2026, while newer coding models such as Opus 4.7 will be exclusive to Kiro. - Q Developer experiences in the AWS Console, documentation, mobile app, Slack, and Microsoft Teams are unaffected. AWS’s direction is increasingly centered on managed AI agents integrated into everyday business workflows. Organizations adopting these services should evaluate the new Bedrock, Quick, and Connect capabilities while also planning migration from Q Developer to Kiro before the announced support deadlines.

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Amazon BedrockAI AgentsAWSAmazon Ec2+3
aws3 min readCurated summary

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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Amazon BedrockKubernetesGenerative AIPostgreSQL+4
gitlab3 min readCurated summary

GitLab + Amazon: Platform orchestration on a trusted AI foundation

GitLab Duo Agent Platform and Amazon Bedrock combine GitLab’s software-lifecycle orchestration with AWS’s governed foundation-model infrastructure. Duo coordinates agents across planning, development, security, pipelines, and remediation, while Bedrock provides secure inference within AWS boundaries. The pairing aims to reduce shadow AI, fragmented tooling, unclear data flows, and unplanned cloud spending. ## The Enterprise AI Governance Problem - Teams often adopt unapproved AI tools, creating unknown prompt and code-data paths. - AI tooling and model choices become fragmented across developers and departments. - Security teams may lack control over logs, data residency, and access policies. - Existing AWS and Amazon Bedrock investments can be underused when teams rely on external point solutions. - The proposed division of responsibility is: - GitLab Duo Agent Platform: workflow and agent orchestration. - Amazon Bedrock: approved models and inference. - The organization: IAM, VPC, regional, security, and policy controls. ## GitLab Duo Agent Platform as the Control Plane - Duo provides specialized agents and flows that operate asynchronously across the software lifecycle. - Agents use shared GitLab context, including: - Issues - Merge requests - Pipelines - Security findings - It extends beyond a single conversational assistant by coordinating multiple agents across continuous workflows. - Potential tasks include planning, code development, merge-pipeline work, security scanning, and vulnerability remediation. ## Amazon Bedrock as the AI Foundation - Bedrock is a managed, serverless foundation-model layer operating within AWS. - Customer inputs and outputs are encrypted, not shared with model providers, and not used to train base models. - It supports compliance requirements including GDPR, HIPAA, and FedRAMP High. - Organizations can use native Bedrock models or import fine-tuned models through Custom Model Import. - Bedrock Guardrails can provide content filtering, hallucination detection, and sensitive-data protection. ## Deployment Options The core Duo capabilities remain consistent, but control and infrastructure ownership vary across three patterns: - **Self-hosted models with Amazon Bedrock** - Intended for GitLab Self-Managed deployments. - Uses a self-hosted AI Gateway. - Keeps inference traffic, prompts, logs, and lifecycle data within the organization’s AWS environment. - **GitLab-operated Bedrock models with GitLab-owned keys** - Intended for GitLab Self-Managed deployments. - Uses GitLab’s hosted AI Gateway. - GitLab operates the model layer while the deployment remains self-managed. - **GitLab.com with GitLab-operated Bedrock models** - Uses GitLab’s hosted AI Gateway and GitLab-owned keys. - Suits organizations that prefer the SaaS GitLab experience while using Bedrock-backed models. ## Practical Enterprise Uses - Platform teams can standardize models for code suggestions, security analysis, and pipeline remediation. - Centralized guardrails and logging reduce independent, unmanaged AI adoption. - Security agents can propose and validate fixes directly within GitLab. - Routing AI workloads through Bedrock helps organizations align usage with existing AWS agreements and spending commitments. The recommended approach is to treat GitLab Duo Agent Platform as the orchestration layer and Amazon Bedrock as the governed inference foundation, selecting the deployment model that matches the organization’s compliance, hosting, and control requirements.

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Amazon BedrockMachine LearningGitlabDevSecOps+4
aws3 min readCurated summary

AWS Weekly Roundup: Claude Opus 4.7 in Amazon Bedrock, AWS Interconnect GA, and more (April 20, 2026) | Amazon Web Services

The roundup highlights major AWS advances in AI, networking, developer tooling, and security. Claude Opus 4.7 is now available through Amazon Bedrock with stronger agentic coding and research capabilities, while AWS Interconnect simplifies private connectivity across clouds and remote locations. Additional launches improve container supply-chain security, application modernization, database access, cost attribution, and quantum-resistant encryption. ## Anthropic Claude Opus 4.7 in Amazon Bedrock - Anthropic’s latest Opus model improves: - Agentic coding and long-running tasks - Complex code reasoning - Document creation, financial analysis, and multi-step research - It scores: - 64.3% on SWE-bench Pro - 87.6% on SWE-bench Verified - Bedrock features include: - Dynamic capacity allocation - Adaptive thinking and request-specific token budgets - A 1-million-token context window - High-resolution image support for charts, documents, and screen interfaces - The model launched in US East, Tokyo, Ireland, and Stockholm, supporting up to 10,000 requests per minute per account and Region. ## AWS Interconnect Reaches General Availability - **AWS Interconnect – Multicloud** provides Layer 3 private connectivity between AWS VPCs and other clouds. - Google Cloud is supported initially; Azure and OCI are planned. - Traffic uses private networks and the AWS global backbone rather than the public internet. - Includes MACsec encryption, multi-facility resilience, and CloudWatch monitoring. - The underlying specification is open source under Apache 2.0. - **AWS Interconnect – Last Mile** connects branches, data centers, and remote sites to AWS through network providers. - Automatically provisions four redundant connections across two physical locations. - Configures BGP, MACsec, and Jumbo Frames. - Supports adjustable bandwidth from 1 to 100 Gbps. - Launches in US East with Lumen. ## Developer, Database, and Modernization Updates - Amazon ECR pull-through cache now discovers and synchronizes OCI referrers such as signatures, SBOMs, and attestations. - AWS Transform is available directly in Kiro and VS Code for migrations such as language-version upgrades and AWS SDK updates. - Aurora DSQL’s PHP connector supports IAM authentication, SSL, connection pooling, and optional optimistic-concurrency retries. - AWS Transform Custom can modernize VB6 applications into C# ASP.NET Core applications, including COM, ADO, and UI migration challenges. ## Security, Access Control, and Cost Management - Amazon Q for Google Drive now enforces document-level permissions using indexed ACLs and real-time access checks. - AWS Secrets Manager supports hybrid post-quantum TLS using ML-KEM through updated agents, Lambda extensions, and CSI drivers. - Amazon Bedrock can attribute inference costs to individual IAM principals, with reporting through CUR 2.0 and aggregation by teams, projects, or cost centers. ## Compute, Kubernetes, and Storage - EC2 C8in and C8ib instances use sixth-generation Intel Xeon processors and AWS Nitro cards. - C8in offers up to 600 Gbps networking. - C8ib provides up to 300 Gbps EBS bandwidth. - Both scale to 384 vCPUs. - EKS Auto Mode automates networking components such as VPC CNI, load balancers, and DNS while retaining enterprise security controls. - EBS Volume Clones provide immediately usable point-in-time copies for development, disaster recovery testing, and CI/CD workflows. ## Additional AWS Guidance - CloudFront Functions and CloudFront KeyValueStore can support zero-downtime API decomposition using user-aware routing and the Strangler Fig pattern. - The roundup also points readers to AWS events, weekly Power Hour training, and Community.aws meetups. The most significant developments are Bedrock’s expanded AI capabilities and Interconnect’s managed private networking. Teams should evaluate Claude Opus 4.7 for complex AI workflows, use Interconnect where multicloud or resilient connectivity is required, and consider the new security and cost-attribution features for stronger governance.

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Amazon BedrockKubernetesPostgreSQLDevOps+4
aws3 min readCurated summary

Introducing Anthropic’s Claude Opus 4.7 model in Amazon Bedrock | Amazon Web Services

Claude Opus 4.7 is now available in Amazon Bedrock as Anthropic’s most capable Opus model for coding, professional knowledge work, long-running agents, and visual tasks. It runs on Bedrock’s new inference engine, which dynamically schedules capacity, improves availability, queues requests during demand spikes, and provides zero operator access to prompts and responses. AWS positions the model as a production-ready upgrade to Opus 4.6, though teams may need to adjust prompts and agent harnesses. ## Model Improvements - **Agentic coding:** Stronger long-horizon autonomy, systems engineering, and complex code reasoning. - 64.3% on SWE-bench Pro - 87.6% on SWE-bench Verified - 69.4% on Terminal-Bench 2.0 - **Knowledge work:** Better document creation, financial analysis, and multi-step research. - Handles underspecified requests by making and explaining reasonable assumptions. - Self-verifies responses to improve first-pass quality. - 64.4% on Finance Agent v1.1. - **Long-running tasks:** Maintains coherence across its full 1-million-token context window while handling ambiguity and verifying results. - **Vision:** High-resolution image support improves analysis of charts, dense documents, and detailed screen interfaces. - **Adaptive thinking:** Dynamically allocates reasoning-token budgets based on request complexity. ## Bedrock Infrastructure and Scaling - The new inference engine uses updated scheduling and scaling logic to allocate capacity dynamically. - It prioritizes steady-state workloads while rapidly scaling capacity for changing demand. - During high demand, requests are queued instead of rejected. - Up to 10,000 requests per minute per account and Region are available immediately, with additional capacity available by request. - Zero operator access prevents AWS and Anthropic operators from viewing customer prompts and responses. ## Ways to Invoke the Model - Test Claude Opus 4.7 in the Amazon Bedrock console through **Playground**. - Use the Anthropic Messages API through: - Anthropic SDK integrations with Bedrock - `bedrock-mantle` endpoints - Use Bedrock-native APIs: - **Converse API** for multi-turn conversations and Guardrails integration - **Invoke API** for direct invocation and lower-level control - Invoke it with the AWS CLI using model ID `anthropic.claude-opus-4-7`. - The Anthropic Bedrock SDK can authenticate with AWS Signature Version 4 and submit Messages API requests programmatically. ## Availability - Initially available in: - US East (N. Virginia) - Asia Pacific (Tokyo) - Europe (Ireland) - Europe (Stockholm) - AWS directs users to the Bedrock model and pricing pages for regional availability updates. Teams seeking stronger coding agents, complex research workflows, or high-volume production inference can try Claude Opus 4.7 in Bedrock, while validating prompt and harness changes before migrating existing Opus 4.6 workloads.

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Amazon BedrockPythonAPIAgentic Coding+4
aws3 min readCurated summary

AWS Weekly Roundup: Claude Mythos Preview in Amazon Bedrock, AWS Agent Registry, and more (April 13, 2026) | Amazon Web Services

AWS’s April 13, 2026 roundup centers on improving governance and visibility as organizations move AI workloads into production. Amazon Bedrock added IAM user and role-based cost allocation, while Claude Mythos Preview and the AWS Agent Registry expanded capabilities for cybersecurity and agent management. The week also brought updates across storage, observability, WorkSpaces, and quantum computing. ## Bedrock Cost Allocation - Organizations can tag IAM users and roles with attributes such as team or cost center. - Activated tags appear in Billing and Cost Management, AWS Cost Explorer, and detailed Cost and Usage Reports. - This enables teams to track foundation model inference costs across departments, agents, and tools such as Claude Code on Bedrock. ## Claude Mythos Preview in Amazon Bedrock - Anthropic’s Claude Mythos is available as a gated research preview through Project Glasswing. - The model is designed for advanced cybersecurity work, including: - Finding sophisticated vulnerabilities - Analyzing large codebases - Handling complex reasoning and coding tasks - Access is limited to allowlisted organizations, with priority given to critical internet companies and open-source maintainers. ## AWS Agent Registry - AgentCore’s new registry provides a private catalog for AI agents, tools, skills, MCP servers, and custom resources. - Features include semantic and keyword search, approval workflows, and CloudTrail auditing. - Teams can access it through the AgentCore Console, AWS CLI, SDKs, or as an MCP server from IDEs. - The goal is to improve reuse and governance instead of having teams independently recreate capabilities. ## Other AWS Launches - **Amazon S3 Files:** Exposes S3 buckets as shared file systems with file-system semantics, caching, and high aggregate read throughput. Applications can use file-system and S3 APIs simultaneously without migration or code changes. - **OpenSearch observability:** Adds Managed Prometheus, PromQL support, RED metrics, agent tracing, and OpenTelemetry GenAI semantic conventions for correlating AI execution with logs and traces. - **WorkSpaces Advisor:** Uses generative AI to diagnose Amazon WorkSpaces Personal configuration issues and recommend fixes. - **Amazon Braket:** Adds Rigetti’s 108-qubit Cepheus-1-108Q processor, supporting Braket SDK, Qiskit, CUDA-Q, Pennylane, and pulse-level control. ## Additional Resources and Upcoming Events - AWS highlighted guidance for regional availability monitoring with S3, Bedrock model lifecycle management, memory-intensive Lambda managed instances, and OpenClaw deployment choices. - Kiro is bringing back startup credits, offering eligible companies one year of Pro+ access across three team-size tiers. - The virtual “What’s Next with AWS” event on April 28 will focus on agentic AI and feature AWS, OpenAI, and industry leaders. Organizations adopting AI at scale should prioritize IAM-based cost attribution, centralized agent governance, and lifecycle planning for foundation models.

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Amazon BedrockDatabase DesignPostgreSQLAws Lambda+4
aws2 min readCurated summary

Amazon Bedrock Guardrails supports cross-account safeguards with centralized control and management | Amazon Web Services

Amazon Bedrock Guardrails now supports cross-account safeguards, allowing organizations to centrally enforce safety controls across AWS accounts and organizational units. Administrators can apply immutable, versioned guardrails to all Bedrock model invocations while still allowing account- or application-specific policies. The capability is generally available across commercial and GovCloud Regions where Bedrock Guardrails is supported. ## Centralized Organization- and Account-Level Enforcement - **Organization-level enforcement** uses an Amazon Bedrock policy created in the AWS Organizations management account. - Policies can attach a specified guardrail and version to: - The organization root - Organizational units - Individual AWS accounts - The selected guardrail is automatically applied to Bedrock inference requests across targeted member entities. - Different policies and guardrails can be assigned to different accounts or organizational units. - **Account-level enforcement** applies a configured guardrail to all Bedrock inference API calls within one account and Region. ## Configuring Guardrail Coverage - Guardrails must use a specific version so their configuration remains immutable and cannot be changed by member accounts. - Administrators can choose whether enforcement: - Includes or excludes specific Bedrock models - Covers all or only selected system and user prompt content - **Comprehensive** mode guards all content, regardless of caller-provided tags. - **Selective** mode relies on callers to identify content requiring protection, reducing processing for pre-validated inputs. ## Testing and Verification - Account-level enforcement can be configured in the Amazon Bedrock Guardrails console. - Enforcement can be tested with: - `InvokeModel` - `InvokeModelWithResponseStream` - `Converse` - `ConverseStream` - Responses include guardrail assessment details and identify the enforced guardrail. - Member accounts can verify organization-level enforcement in the Bedrock console. ## Important Considerations - Organizations must meet prerequisites such as configuring resource-based policies for guardrails. - Incorrect or invalid guardrail ARNs can cause policy violations, prevent safeguards from being enforced, and block model inference. - Automated Reasoning checks are not supported. - Charges apply for each enforced guardrail based on its configured safeguards. ## Availability Cross-account safeguards are generally available in all commercial and GovCloud AWS Regions where Amazon Bedrock Guardrails is available. Organizations can enable the feature through the Amazon Bedrock and AWS Organizations consoles. Overall, the capability gives security teams a centralized way to enforce responsible AI requirements while reducing the need to audit guardrail settings independently in every account and application.

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aws3 min readCurated summary

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: Amazon Connect Health, Bedrock AgentCore Policy, GameDay Europe, and more (March 9, 2026) | Amazon Web Services

The March 9, 2026 AWS Weekly Roundup highlights AWS’s growing focus on agentic AI, healthcare automation, security, and developer productivity. Major updates include Amazon Connect Health, centralized policies for Bedrock agents, private AI assistants on Lightsail, and new tools for troubleshooting and durable Lambda workflows. The roundup also previews community events, including GameDay Europe, NVIDIA GTC, AWS Summits, and regional Community Days. ## Major AWS Product Launches - **Amazon Connect Health** is generally available with five healthcare-focused AI agents: - Patient verification - Appointment management - Patient insights - Ambient documentation - Medical coding - These capabilities are HIPAA-eligible and designed to integrate with existing clinical workflows within days. - **Bedrock AgentCore Policy** provides centralized, fine-grained controls for agent-to-tool interactions. - Policies can be written in natural language. - AWS converts them into Cedar, its open-source policy language. - Controls operate outside application code, supporting security and compliance teams. - **OpenClaw on Amazon Lightsail** enables deployment of private autonomous AI assistants. - Includes sandboxed sessions, security controls, HTTPS, and device-pairing authentication. - Uses Amazon Bedrock by default and supports Slack, Telegram, WhatsApp, and Discord integrations. ## Pricing, Cost Management, and Security - **VPC Encryption Controls** became a paid feature on March 1, 2026. - Monitor mode detects unencrypted traffic. - Enforce mode blocks traffic that does not meet encryption requirements. - Controls apply to traffic within and across VPCs in a region. - **Database Savings Plans** now cover Amazon OpenSearch Service and Amazon Neptune Analytics. - Customers can save up to 35% with a one-year commitment. - Savings apply across engine, instance family, size, and AWS Region. - **Amazon GameLift Servers DDoS Protection** adds a co-located relay network. - Client traffic is authenticated with access tokens. - Per-player traffic limits help mitigate attacks. - The feature adds no cost for GameLift Servers customers. ## Developer and Operations Improvements - **Elastic Beanstalk AI-powered environment analysis** sends events, health data, and logs to Amazon Bedrock when environments degrade. - It returns troubleshooting recommendations tailored to the affected environment. - AWS now allows **IAM roles to be created directly inside service workflows**, reducing the need to switch to the IAM console. Supported services include EC2, Lambda, EKS, ECS, Glue, and CloudFormation. - **Kiro’s new Lambda durable functions power** assists developers with long-running, multi-step applications and AI workflows. - It provides guidance on replay models, waits, concurrency, error handling, and deployment. ## AWS Community Projects - One community project demonstrates a persistent AI memory layer using **MCP, Amazon Bedrock, and a Chrome extension**, allowing agents to retain context across sessions and applications. - Another experimental application treats the AI model as the runtime, generating a complete interactive web application from a single prompt without a conventional codebase, framework, or persistent state. ## Community Events and AWS Activities - **AWS Community GameDay Europe** takes place March 17, offering team-based challenges using real AWS services. - AWS will participate in **NVIDIA GTC 2026** in San Jose from March 16–19, with sessions, demos, booths, and discounted passes. - Upcoming **AWS Summits** include Paris, London, and Bengaluru. - Upcoming **AWS Community Days** include events in Slovakia, Pune, and Mexico City. AWS’s latest announcements show a clear emphasis on practical AI agents, stronger governance, and automation across infrastructure and application development. Developers and cloud teams should review the new security and pricing changes while exploring the AI tools and upcoming hands-on community events.

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Introducing OpenClaw on Amazon Lightsail to run your autonomous private AI agents | Amazon Web Services

Amazon Lightsail now offers a preconfigured OpenClaw instance for running a private, autonomous AI assistant without managing a complex installation. The setup uses Amazon Bedrock by default and supports browser access plus messaging integrations such as WhatsApp, Discord, and Telegram. AWS aims to simplify deployment while addressing the security concerns of running an agent that can access email, files, and the web. ## Launching OpenClaw on Lightsail - In the Lightsail console, create a new instance. - Select: - A preferred AWS Region and Availability Zone - Linux/Unix as the platform - OpenClaw as the blueprint - A 4 GB memory plan is recommended for performance. - The instance typically reaches a running state within minutes. ## Pairing the Browser - Use **Connect using SSH** from the Lightsail Getting Started tab. - Copy the dashboard URL and security credentials shown in the SSH welcome message. - Open the dashboard and enter the access token in the **Gateway Token** field. - Approve the pairing from the terminal by entering `y`, then `a`. - Once pairing succeeds, the dashboard displays an **OK** status. ## Enabling Amazon Bedrock - OpenClaw is preconfigured to use Amazon Bedrock as its AI provider. - Copy the setup script from the Getting Started tab. - Run it in AWS CloudShell to enable Bedrock API access. - After completion, use the **Chat** section of the dashboard to interact with the assistant. ## Messaging Integrations OpenClaw can connect to services such as Telegram and WhatsApp, allowing users to interact with the assistant from a phone or messaging client. It can perform tasks including email management, web browsing, and file organization. ## Permissions and Costs - The setup script creates an IAM role with permissions to access Bedrock. - IAM policies can be customized, but removing required permissions may stop the assistant from generating responses. - Lightsail charges are based on the selected instance plan’s on-demand hourly rate. - Bedrock usage is billed according to tokens processed. - Third-party models offered through AWS Marketplace may add software charges. ## Security Considerations - Do not expose the OpenClaw gateway directly to the public internet. - Treat the gateway authentication token like a password. - Rotate the token regularly. - Store credentials in environment files rather than hardcoding them in configuration. - Review OpenClaw’s gateway security guidance before granting the agent access to sensitive systems. OpenClaw on Lightsail is available in all commercial AWS Regions where Lightsail operates. It provides a convenient deployment path, but users should carefully control IAM permissions, monitor costs, and secure the gateway before connecting personal data or messaging accounts.

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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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