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Amazon Bedrock

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aws3 min readCurated summary

AWS Weekly Roundup: AWS Heroes Summit, Web Search on Amazon Bedrock, Dogwood, Kiro Crew, and more (August 10, 2026) | Amazon Web Services

The August 10, 2026 AWS Weekly Roundup highlights the AWS Heroes Summit and several launches focused on AI agents, modernization, data retrieval, and developer productivity. Major updates include web search for Amazon Bedrock, vector search in DynamoDB, dedicated AgentCore runtime instances, and faster Lambda networking. AWS also introduced Dogwood for temporal agent governance, portable Agent Plugins, and Kiro Crew for persistent multi-agent development. ## AWS Heroes Summit - AWS Heroes from around the world gathered for technical collaboration, deep dives, and feedback sessions with AWS teams. - The invite-only event featured: - A fireside chat with AWS CEO Matt Garman. - An AMA with James Hamilton. - Breakout sessions led by AWS product teams. - The summit emphasized knowledge sharing, community support, and collaboration between AWS experts and internal teams. ## New Amazon Bedrock and AI Capabilities - **Web Search on Amazon Bedrock** - OpenAI models, including GPT-5.4, GPT-5.5, and GPT-5.6 variants, can browse and retrieve current information from the internet. - Applications can use real-time web content while keeping data within a secured AWS environment with zero data egress. - **Runtime Instances for Bedrock AgentCore** - AI agents can run on dedicated runtime instances. - This provides more predictable performance, execution control, and costs. - **Vector Search for DynamoDB** - Applications can store and query vector embeddings alongside existing DynamoDB data. - This supports semantic retrieval and grounding for AI agents without deploying a separate vector database. ## Modernization and Lambda Networking - **AWS Transform continuous modernization** - Now generally available for analyzing and remediating technical debt across repositories. - Supports ongoing modernization of mainframe and legacy workloads rather than one-time migration projects. - Integrates with the AWS Transform Kiro Power and agent plugins. - **Higher Lambda bandwidth** - Lambda functions configured with at least 2 GB of memory and running outside a VPC can receive proportional network bandwidth increases. - Bandwidth ranges from 625 Mbps at 2 GB to 3,000 Mbps at 10 GB. - The change benefits data-intensive workloads and communication with other AWS services. ## Agent Governance and Portability - **Dogwood** - AWS open-sourced Dogwood, a governance language designed for AI agents. - It extends Cedar policies with temporal conditions. - AgentCore temporal policies can make decisions based on an agent’s prior actions within a session, not only the current request. - **Agent Plugins** - AWS supports an open, vendor-neutral specification for packaging agent extensions. - Developers can package an extension once and use it across compatible tools such as Kiro, VS Code, and Cursor. ## Kiro Crew - Kiro Crew provides a persistent workspace for collaborative, multi-agent development. - It is designed for work spanning multiple repositories, tools, and days rather than a single chat session. - Developers can run several efforts in parallel or delegate tasks to subagents that report results later. AWS’s latest updates point toward more capable, governed, and portable AI-agent workflows, while also improving modernization tools and infrastructure performance. Developers can explore the related documentation, AWS events, and the AWS Builder Center for further resources.

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Amazon BedrockAI AgentsAWSAws Lambda+4
aws2 min readCurated summary

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

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

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Amazon BedrockApache KafkaApache IcebergAmazon Cloudwatch+4
aws3 min readCurated summary

AWS Weekly Roundup: Local Zone in Athens, Claude Opus 5 on AWS, Lambda durable execution for .NET, and more (July 27, 2026) | Amazon Web Services

The week’s AWS updates focus on bringing infrastructure closer to users, expanding AI capabilities, and improving reliability and observability. Highlights include a new Athens Local Zone, Claude Opus 5 availability, durable Lambda workflows for .NET, and unified Amazon Bedrock AgentCore telemetry. The post also points to new data, contact-center, developer-productivity, and community resources. ## AWS Local Zone in Athens - AWS launched its second EMEA Local Zone in Athens, Greece. - It supports: - Amazon EC2 C7i, M7i, and R7i instances - Amazon S3 One Zone-Infrequent Access - Amazon EBS and EBS Local Snapshots - Amazon ECS - Greek organizations can process and store data locally to help satisfy data-residency requirements. - The zone enables single-digit-millisecond latency for workloads such as gaming, media production, and financial services while still connecting to the nearest AWS Region. ## New AI and Serverless Capabilities - **Claude Opus 5 on AWS** is available through Amazon Bedrock and Claude Platform on AWS. - It provides top-tier Opus-level intelligence. - Bedrock enables zero data retention by default, supporting stricter governance requirements. - **Lambda durable execution for .NET** is now generally available. - C# developers can create long-running, multi-step workflows without custom checkpointing or external orchestration. - Workflows can pause for up to one year. - Use cases include payment pipelines, AI agents, and human approvals. ## Improved Agent Observability - Amazon Bedrock AgentCore now stores traces, prompts, inputs, outputs, and application logs in a single CloudWatch log group. - Engineers can investigate individual agent invocations without searching multiple destinations. - Agent-level access controls and customer-managed key encryption are also supported. ## Contact Center, Data, and Developer Updates - Amazon Connect added more natural agentic voice experiences across more than 50 languages. - The service now includes over 100 new voice options and improved handling of tone and sentiment. - SageMaker Unified Studio can query Amazon OpenSearch data alongside Redshift, S3, and relational database assets. - CloudWatch coding agent insights measures the organizational impact of tools such as Claude Code, Codex, and GitHub Copilot using OpenTelemetry telemetry without custom instrumentation. ## Additional Resources and Events - AWS published guidance for evaluating AI agents with Strands Agents and Bedrock AgentCore. - A new guide covers multi-region resiliency for CloudFormation custom resources. - Amazon SES introduced pricing plans intended to make large-scale email costs more predictable. - Upcoming opportunities include AWS Summits and AWS Community Day Belo Horizonte on August 22. Together, these releases suggest AWS is prioritizing lower-latency regional infrastructure, production-ready AI workflows, and better operational visibility. Builders should assess the Athens Local Zone for residency-sensitive workloads, consider durable Lambda execution for complex .NET processes, and adopt the new observability tools as agent deployments grow.

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Amazon BedrockAWSAws LambdaAmazon Sagemaker+4
aws3 min readCurated summary

AWS Weekly Roundup: One-click Lambda setup prompt, OpenAI GPT-5.6 models on Bedrock, and more (July 20, 2026) | Amazon Web Services

The AWS Weekly Roundup highlights new tools for AI-assisted serverless development, including a one-click Lambda setup prompt that configures coding agents with AWS Serverless skills and MCP. It also covers major service updates such as OpenAI models on Bedrock, faster S3 storage-class transitions, self-managed Lambda code storage, and Cognito password-hash imports. Additional stories include SQS’s 20th anniversary, open agent protocols, DynamoDB bulk operations, and a resolved Cost Explorer billing-data incident. ## One-Click Lambda Setup for Coding Agents - The Lambda console now provides a prompt that configures AI coding agents with: - AWS Serverless skills - The Serverless Model Context Protocol (MCP) server - Embedded serverless best practices - The setup guide supports Claude Code, Kiro, Cursor, GitHub Copilot, Codex, Devin Desktop, and OpenCode. - Developers can copy the setup URL into their preferred agent: ```text fetch https://docs.aws.amazon.com/lambda/latest/dg/samples/aws-lambda-agent-setup.md ``` - AWS’s Agent Toolkit can also install the AWS MCP Server, providing current AWS knowledge and controlled resource access. ## Major AWS Service Launches - **OpenAI GPT-5.6 models on Amazon Bedrock** - Sol: flagship reasoning - Terra: balanced performance - Luna: faster, lower-cost inference - All are available through Bedrock’s Responses API and its high-performance inference engine. - **Same-day S3 transitions** - Objects can transition to S3 Standard-IA or S3 One Zone-IA on the day they are created. - The previous 30-day minimum retention period in S3 Standard no longer applies. - These classes can reduce storage costs by up to 40% while retaining millisecond access. - Suitable for backups, log analytics, and compliance data that becomes cold quickly. - **Self-managed Lambda code storage** - Lambda can reference code directly from customer-owned S3 buckets. - Lambda no longer needs to create intermediate copies. - This removes code-storage limits and can shorten activation times after deployments. - **Cognito password-hash imports** - CSV user imports can now include password hashes. - Users can sign in immediately with existing credentials instead of resetting passwords. - Import configuration specifies the source system’s hashing algorithm. ## Additional AWS Updates - **Amazon SQS at 20** - SQS continues to provide scalable decoupling between message producers and consumers, two decades after its public launch. - **Open protocols with Strands Agents SDK** - An example demonstrates how MCP, A2A, UTCP, AG-UI, and x402 can work together when building AI agents. - **Open-source DynamoDB Bulk Executor** - Performs large-scale table operations without custom code. - Supports `count`, `find`, `delete`, and `update` commands. - **Kiro CLI for AWS Support** - MCP integration combines investigation, documentation lookup, and support-case creation. - Examples cover Glue failures, Lambda cold starts, and WAF false positives. ## Cost Explorer Incident - Some customers saw inaccurate estimated billing and usage data in Cost Explorer. - The issue generated erroneous budget and cost-anomaly alerts. - AWS resolved the incident and is conducting a retrospective to improve billing-incident prevention and response. AWS’s latest releases emphasize faster serverless development, more capable AI tooling, lower-cost storage, and easier automation of operational tasks. Developers should explore the Lambda agent setup and Agent Toolkit while reviewing the new storage, identity, and bulk-operation capabilities for relevant workloads.

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Amazon BedrockAI AgentsAmazon S3Aws Lambda+4
aws4 min readCurated summary

AWS Weekly Roundup: AWS Builder Center at 1 year, Network Scanning in Security Hub, Loom for AWS, and more (July 13, 2026) | Amazon Web Services

AWS’s weekly roundup highlights the first anniversary of AWS Builder Center and its expansion into a broader learning and experimentation ecosystem. It also introduces major security, AI, container, database, and developer-tool updates, including internet reachability scanning, Azure support in Security Hub, Hugging Face integration with SageMaker, lower GPU management fees, and Aurora DSQL change data capture. The overall direction is toward more integrated, governed, and accessible cloud development workflows. ## AWS Builder Center Turns One - Launched on July 9, 2025, Builder Center has expanded from a community hub into an ecosystem with: - Sandbox environments - Workshops and the Builders’ Library - Community Spaces, profiles, badges, and streaks - AWS regional capability listings - Saved items, article series, availability notifications, and GitHub/Amazon sign-in - In its first year: - 5,548 authors published 6,448 articles. - Articles received more than 10.4 million page views. - Builders earned 99,226 badges. - The community submitted 565 feature wishes, with 10 already delivered. - The most popular articles covered MCP and Strands Agents, Linux migration with Kiro, and multimodal AI for neurological screening. ## Free AWS Sandbox Environments - Builder Center now offers free, pre-provisioned AWS accounts for workshop exercises. - Each sandbox: - Remains active for eight hours. - Automatically removes the account and resources afterward. - Requires no personal AWS account, credit card, or manual cleanup. - Users can have one active sandbox and request one sandbox per week. ## Security Hub Adds Network and Azure Coverage - Security Hub Network Scanning probes AWS and Azure environments from the public internet. - It identifies: - Public IP addresses, virtual machines, and load balancers. - Reachable ports. - Services operating behind those ports. - Each reachable port produces a finding, which Security Hub Exposures correlates with other configuration and security findings. - Existing customers can enable the feature by account, Region, or organization policy; it is enabled by default for new customers. - Network Scanning is included with Security Hub Essentials at no extra cost. - Security Hub also now evaluates Azure VMs, container images, Function Apps, and identities for vulnerabilities, misconfigurations, and internet exposure. ## SageMaker Studio and Hugging Face Integration - Users can deploy or customize supported Hugging Face models in SageMaker Studio with one click. - New customers receive automatically configured Studio environments for: - Fine-tuning and reinforcement learning with custom reward functions. - Model evaluation. - Deployment to SageMaker or Bedrock endpoints. - Verified customers receive default GPU access to G5, G6, and G4dn instances, while quota usage is visible in Studio. ## Lower GPU Management Fees - Starting July 1, 2026, EKS Auto Mode and ECS Managed Instances reduced accelerated-instance management fees: - G-series: 35% reduction. - P-series and Trainium: 60% reduction. - Existing customers receive the reductions automatically. - EKS adds accelerator-aware node repair and parallel image pulling. - ECS provides GPU metrics through CloudWatch Container Insights and monitors GPU hardware health. ## Aurora DSQL Change Data Capture - Aurora DSQL CDC is generally available and streams insert, update, and delete events to Kinesis Data Streams. - The events can synchronize microservices, invoke Lambda functions, or feed S3, Redshift, and OpenSearch through Firehose. - CDC is designed to avoid database performance impact and requires no infrastructure management. ## Tools for Governed AI Agents - Loom for AWS is an open-source platform for deploying and managing Strands Agents on Bedrock AgentCore Runtime. - It includes: - Identity-provider integration and RBAC/ABAC. - Lifecycle management for agents, memory, MCP servers, and agent-to-agent connections. - Automated tagging for cost attribution. - Agent Registry integration and human approval for sensitive actions. - The Claude apps gateway provides centralized access, policy, and spending controls for Claude Code and Claude Desktop. - It supports OIDC identity providers, per-user and per-group spending caps, managed request settings, and routing through Amazon Bedrock or Claude Platform on AWS. - AWS MCP Server now supports browser-based OAuth using AWS Console or CLI credentials, including IAM federation and IAM Identity Center, with short-lived tokens and automatic refresh. AWS’s updates favor managed services that reduce operational work while strengthening security and governance. Teams should evaluate Builder Center sandboxes for training, enable Security Hub’s broader scanning where appropriate, and consider the new AI-agent controls and managed GPU options for production workloads.

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Amazon BedrockKubernetesModel Context ProtocolPostgreSQL+4
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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Amazon BedrockAI AgentsGenerative AIPostgreSQL+4
aws3 min readCurated summary

Top announcements of the AWS Summit in New York, 2026 | Amazon Web Services

AWS Summit New York 2026 focused on making AI agents more capable, secure, autonomous, and easier to operate in production. Announcements spanned Amazon Bedrock AgentCore, security automation, developer tooling, workplace agents, and S3 data management. The overall direction is toward agents that can access governed knowledge, act independently, and continuously improve while remaining subject to enterprise controls. ## Building More Capable Agents - **Amazon Bedrock Managed Knowledge Base** simplifies enterprise RAG with native data connectors, Smart Parsing for multi-format data, and an Agentic Retriever for complex, multi-step queries. - **Web Search for Bedrock AgentCore** provides managed, current, cited web knowledge while keeping data within the customer’s secured AWS environment. - **Bedrock AgentCore harness** is now generally available, allowing developers to define an agent’s model, tools, skills, and instructions through configuration rather than custom orchestration loops. - **AWS Context**, coming soon, will map relationships across organizational data into a knowledge graph. Agents will be able to use governed relationships, business rules, and domain knowledge at runtime. - **AWS WAF Bot Control** lets publishers and content owners price, meter, and collect payment from AI bots accessing content and APIs, with scoped access enforced at the edge. ## Securing Agents and Applications - **AWS Continuum**, available in gated preview, aggregates vulnerability findings, ranks them by business impact, verifies exploitability, and routes fixes through existing development processes. - **AWS Security Agent**, now part of Continuum, adds: - Threat modeling based on the STRIDE framework - Pull-request code scanning and remediation across major Git platforms - IDE integrations through Kiro, Claude Code, and MCP - These tools are intended to let developers perform security reviews and address vulnerabilities without leaving their normal workflows. ## AI-Assisted Software Development - **Kiro for iOS**, in gated preview, lets developers start, monitor, steer, and approve Kiro sessions from a phone, including reviewing diffs and approving changes without keeping a laptop running. - **AWS DevOps Agent** adds release readiness reviews and autonomous release testing. It evaluates changes against natural-language standards and tests them in production-like environments. - **AWS Transform continuous modernization**, in preview, scans repositories against configurable technical-debt baselines and can autonomously generate remediation pull requests. ## Autonomous Workplace Agents - New **Amazon Quick autonomous agents** can work in the background with defined expertise, tone, permissions, and tools. - Example use cases include: - A finance agent processing incoming orders - A sales agent analyzing CRM, email, and Slack activity - Agents drafting follow-ups, identifying risks, and recommending next steps - A new **activity feed** combines email, messaging, calendars, and tasks into a prioritized view that adapts to the user’s communication and work patterns. ## Richer Metadata for Amazon S3 - **S3 annotations** allow up to 1 GB of mutable, queryable context to be attached directly to an object. - The feature targets AI agents and autonomous workflows that need to discover and interpret data without maintaining separate metadata systems. AWS’s announcements point toward an agent ecosystem that combines managed knowledge retrieval, web access, security automation, autonomous development workflows, and persistent workplace assistance. Organizations adopting these capabilities should pair autonomy with strong governance, scoped permissions, and continuous validation in production.

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Amazon BedrockAI AgentsRAGAmazon S3+4
aws3 min readCurated summary

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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Amazon BedrockAI AgentsGenerative AIRAG+2
aws4 min readCurated summary

AWS Weekly Roundup: AWS FinOps Agent in preview, Gemma 4 on Bedrock, Kiro Pro Max, and more (June 15, 2026) | Amazon Web Services

AWS’s June 15, 2026 roundup highlights rapid adoption of AI-native development, a preview of the AWS FinOps Agent, and major infrastructure and model releases. AWS reports significant productivity gains from agent-assisted engineering, while new services target cost optimization, observability, security, and developer workflows. The overall direction is toward more autonomous, context-aware tools integrated throughout the AWS ecosystem. ## AI-Native Development at AWS - Amazon engineering teams are restructuring development around AI agents. - A six-engineer team rebuilt the Amazon Bedrock inference engine in 76 days, compared with an original estimate of 30 developers over 12–18 months. - Structured Amazon Stores pilots achieved a median 4.5× improvement in normalized deployment velocity, with some teams exceeding 10×. - Recommended practices for “frontier teams” include: - Building steering files, coding standards, and structured repositories to provide agent context. - Expecting an initial productivity slowdown while workflows change. - Maintaining a backlog of well-scoped tasks that agents can execute in parallel. - Writing structured specifications before generating code. - Moving testing earlier so agents can detect and correct issues. - AWS cautions that commit velocity is only one measure; future work will address release management, operations, security, and end-of-life upgrades. ## AWS FinOps Agent Preview - AWS FinOps Agent helps finance and engineering teams: - Answer AWS cost questions and generate reports. - Identify rightsizing, idle-resource, and Savings Plans opportunities. - Investigate cost anomalies automatically. - Schedule recurring FinOps workflows. - Recommendations come from AWS Cost Optimization Hub and AWS Compute Optimizer. - The agent can open Jira tickets and post anomaly-investigation findings to Slack. ## New EC2 M9g and M9gd Instances - M9g and M9gd instances use AWS Graviton5 processors and the sixth-generation Nitro System. - They provide: - Up to 25% better compute performance than Graviton4. - Up to 35% faster web applications and ML inference. - Up to 30% faster database performance. - Up to 15% more network bandwidth and 20% more EBS bandwidth than M8g. - Graviton5 adds PCIe Gen6, DDR5-8800 memory, and a 5× larger L3 cache. - The Nitro Isolation Engine uses formal verification to provide mathematically proven VM isolation. - M9gd adds up to 11.4 TB of local NVMe SSD storage and 30% higher IOPS than M8gd. - Instance Bandwidth Configuration can shift bandwidth between EBS and VPC networking by up to 25%. ## Bedrock Model Updates - Anthropic Claude Fable 5 launched on Bedrock with: - Extended asynchronous task execution. - Advanced vision for diagrams, charts, and PDFs. - Proactive self-verification. - Access required Data Retention API opt-in and 30-day retention for inputs and outputs. - Anthropic later asked AWS to revoke access to Claude Fable 5 and Claude Mythos 5 in response to a U.S. government export-control directive. - Google DeepMind’s Gemma 4 models are available in three versions: - Gemma 4 31B for reasoning and coding, with a 256K-token context window. - Gemma 4 26B-A4B, a mixture-of-experts model for cost- and latency-sensitive use. - Gemma 4 E2B for low-latency interactive applications. - All variants support function calling, structured output, reasoning, streaming, multimodal inputs, and more than 35 languages. ## OpenSearch MCP Apps for Agentic Observability - OpenSearch MCP Apps bring logs, traces, metrics, and alerts into compatible agentic environments such as Claude Desktop and VS Code. - Agents can investigate incidents across OpenSearch and Amazon Managed Service for Prometheus. - Each tool call produces both: - A text summary for the agent. - An interactive visualization displayed in the conversation. - Available tools cover log, metric, and trace analysis; service performance; topology; agent health; cluster health; dynamic visualizations; and instrumentation scoring. ## Additional AWS Updates - AWS CLI v1 is entering maintenance mode: - Dependencies such as `botocore` and `s3transfer` will be vendored into the CLI. - Future releases will focus on critical bugs and security fixes. - AWS recommends migrating to CLI v2. - AWS Workload Credentials Provider provides short-term credentials for applications running outside AWS, including on-premises and third-party environments, without requiring long-term access keys. - Kiro Pro Max adds higher usage limits, access to newer frontier models, and additional agentic development capabilities for professional teams. AWS’s latest releases suggest that teams should prepare for AI agents to handle not only code generation, but also cost management, observability, testing, and operational workflows. Migrating to AWS CLI v2, evaluating Bedrock’s newest models, and establishing strong repository context and specifications are practical next steps.

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Amazon BedrockAI AgentsModel Context ProtocolAmazon Ec2+4
aws3 min readCurated summary

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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Amazon BedrockGenerative AIPythonAws Cli+4
aws3 min readCurated summary

AWS Weekly Roundup: BYOM for Amazon RDS for SQL Server, AWS IoT Device SDK for Swift, and more (June 8, 2026) | Amazon Web Services

The AWS roundup highlights the general availability of the AWS IoT Device SDK for Swift, bringing MQTT 5, Device Shadow, Jobs, and fleet provisioning to Apple platforms and Linux. It also covers major AWS releases involving SQL Server licensing, Cognito resilience, OpenAI models on Bedrock, Kubernetes, AI agents, cost reporting, and location services. Together, the announcements show AWS expanding support for Swift edge computing, enterprise AI, multi-Region architectures, and specialized infrastructure. ## AWS IoT Device SDK for Swift - Now generally available for macOS, iOS, tvOS, and Linux. - Provides production-ready support for: - MQTT 5 connectivity - Device Shadow - IoT Jobs - Fleet provisioning - Reflects Swift’s growing use across server-side development, IoT, and edge computing. - Projects such as WendyOS are also bringing Swift to NVIDIA Jetson and Raspberry Pi hardware. ## Major AWS Headlines ### Amazon RDS for SQL Server BYOM - Amazon RDS for SQL Server now supports Bring Your Own Media. - Customers migrating from on-premises SQL Server can reuse existing licenses, including Software Assurance. - Support is provided through Microsoft’s License Mobility program. - AWS License Manager tracks license usage and compliance. ### Multi-Region Amazon Cognito - Cognito can replicate user and machine identity data to a standby Region in near real time. - Replicated data includes credentials, user pool settings, and federation configurations. - Users can continue using applications without re-authentication after a primary-Region disruption. - Available as an add-on for Essentials and Plus user pools across 16 Regions. ### OpenAI Models on Amazon Bedrock - GPT-5.5, GPT-5.4, and Codex are generally available for production use. - GPT-5.5 targets agentic coding, data analysis, and complex autonomous tasks. - Codex supports the Codex App, CLI, and integrations with VS Code, JetBrains, and Xcode. - AWS governance and security controls remain available, pricing follows OpenAI rates, and usage counts toward existing AWS commitments. ## Recent AWS Launches - **Amazon Bedrock observability:** CloudWatch metrics now cover inference counts, token usage, and client errors for OpenAI- and Anthropic-compatible APIs. - **Redesigned Bedrock console:** Adds model catalogs, side-by-side comparisons, project organization, and pre-filled code examples. - **AgentCore Identity secrets:** Credential providers can reference existing AWS Secrets Manager secret ARNs, supporting custom KMS keys, tagging, and rotation. - **Step Functions agentic reasoning:** Workflows can invoke AgentCore-powered agents sequentially or in parallel, include human approval, and trace decisions. - **Kubernetes 1.36 on EKS:** Adds User Namespaces GA, Mutating Admission Policies, in-place pod resource scaling, and resource health reporting. - **ECS Managed Instances accelerators:** Supports Trainium1, Trainium2, and Inferentia2 instances with automatic accelerator allocation. - **Amazon Quick VPC connectivity:** Enables private connections to MCP servers without exposing internal tools to the public internet. - **Cost and Usage Report 2.0:** Adds Athena and Redshift integrations with generated infrastructure templates, table definitions, and loading guidance. - **Amazon Location Service:** Routes API now supports transit and intermodal journeys across 13 Regions. AWS also directs readers to its What’s New page, Builder Center, and upcoming events for further announcements and community resources.

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Amazon BedrockKubernetesEdge ComputingAmazon Rds+3
aws2 min readCurated summary

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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Amazon BedrockAI AgentsGenerative AIAws Sdk+3
aws3 min readCurated summary

Get started with OpenAI GPT-5.5, GPT-5.4 models, and Codex on Amazon Bedrock | Amazon Web Services

OpenAI GPT-5.5, GPT-5.4, and Codex are now generally available through Amazon Bedrock. GPT-5.5 targets the most demanding coding, reasoning, and agentic workloads, while GPT-5.4 emphasizes price-performance. Customers can access the models through the Responses API and use Codex across CLI, desktop, IDE, and Xcode integrations, with regional processing and token-based pricing. ## Model Access Through Amazon Bedrock - Models are served through Bedrock’s next-generation inference engine and the OpenAI Responses API. - GPT-5.5 is positioned for the hardest workloads; GPT-5.4 offers a balance of capability and cost. - Processing remains within the selected Bedrock Region, supporting data residency requirements. - Pricing is based on token usage, with no seat licenses or per-developer commitments. ## Calling GPT Models Programmatically - The OpenAI Python SDK can be configured with Bedrock’s OpenAI-compatible endpoint: - Install with `pip install -U openai`. - Set `OPENAI_BASE_URL`, `OPENAI_API_KEY`, and `BEDROCK_OPENAI_MODEL_ID`. - Applications can call `client.responses.create()` with: - Developer and user messages - Configurable reasoning effort - Output verbosity controls - The same endpoint can be called directly with `curl`. - The Responses API supports multi-turn state, hosted and function tools, tool orchestration, and background or long-running work. ## Using Codex with Bedrock - Codex is available through the Codex CLI, desktop app, VS Code, JetBrains, and Xcode integrations. - It supports: - A Bedrock API key via `AWS_BEARER_TOKEN_BEDROCK` - The AWS SDK credential chain as a fallback - Configure the model and Region in `~/.codex/config.toml`, for example: - Model: `openai.gpt-5.5` - Provider: `amazon-bedrock` - Region: `us-east-2` - Other supported model IDs include `openai.gpt-5.4`, `openai.gpt-oss-120b`, and `openai.gpt-oss-20b`. - Desktop and VS Code users can place environment variables in `~/.codex/.env`. - Applications must be restarted after configuration changes. ## Latency and Scaling Considerations - Actual latency depends on reasoning effort, response length, tool calls, background execution, Region, quotas, throttling, prompt size, and cache hits. - AWS recommends starting GPT-5.5 with medium reasoning effort. - GPT-5.4 should use an explicitly chosen effort level rather than relying on its default of `none`. - Bedrock’s inference engine is designed to provision capacity dynamically. - During demand spikes, requests may be queued instead of rejected. ## Regional Availability - GPT-5.5 is initially available in the US East (Ohio) Region. - GPT-5.4 is available in US East (Ohio) and US West (Oregon). - Additional Regions may be added over time. Teams needing advanced coding and reasoning capabilities can now use OpenAI models and Codex through Bedrock while retaining AWS authentication, regional processing, and usage-based pricing. Evaluate reasoning effort, latency, quotas, and regional availability before moving workloads into production.

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Amazon BedrockPythonAws SdkCurl+4
aws4 min readCurated summary

AWS Weekly Roundup: Claude Opus 4.8 on AWS, Aurora MySQL with Kiro Powers, and more (June 1, 2026) | Amazon Web Services

AWS’s latest roundup highlights a rapid shift toward AI-augmented software development, illustrated by workshops where 17 teams delivered nearly 20 use cases in two days. The centerpiece is Anthropic Claude Opus 4.8, now available through Amazon Bedrock and the Claude Platform on AWS, alongside tools that improve resilience, agentic search, migration analysis, database management, and desktop streaming. Together, these launches show AWS moving toward real-time, AI-assisted development and operations. ## AI-Driven Development and Claude Opus 4.8 - AI-DLC workshops are helping teams deliver software use cases at unprecedented speed, especially when combined with Claude Code on Amazon Bedrock. - Development roles are increasingly consolidating into smaller, AI-augmented teams. - AWS account teams are shifting from producing advisory documents to building solutions collaboratively with customers. - Claude Opus 4.8 is Anthropic’s most capable generally available model and is designed for: - Agentic coding and extended autonomous tasks - Long-document analysis and knowledge work - Deeper reasoning and error recovery - Maintaining context across lengthy coding sessions - On Amazon Bedrock, it includes AWS features such as Guardrails, Knowledge Bases, and data-residency controls. - The Claude Platform on AWS provides Anthropic’s native APIs with unified AWS billing. ## AWS Resilience Hub - The next-generation Resilience Hub provides a unified way to define resilience standards, assess applications, and demonstrate compliance. - Modular policies cover: - Service-level objectives - Multi-Availability Zone and multi-Region disaster recovery - Data recovery - Generative AI assessments align with AWS Well-Architected and Resilience Analysis Framework guidance. - DNS query-log analysis automatically discovers application dependencies. - AWS Organizations integration enables centralized, organization-wide resilience management. ## OpenSearch Serverless for Agentic AI - Amazon OpenSearch Serverless is now positioned as a managed search and vector engine for agent-based applications. - It scales from zero to thousands of requests per second and is approximately 20 times faster than the previous generation. - AWS claims up to 60% cost savings compared with peak-provisioned clusters. - New capabilities include GPU acceleration and dedicated `SEARCH` and `VECTORSEARCH` collection types. - OpenSearch Agent Skills integrate with Vercel, Kiro, Claude Code, and Cursor. ## AWS Transform Assessment and Modernization Tools - AWS Transform can build migration business cases and estimate total cost of ownership. - It accepts data from RVTools, CMDBs, AWS discovery tools, and third-party discovery platforms. - Users can model what-if scenarios involving regions, utilization, and service mappings for services such as EC2, FSx, S3, SQL Server on EC2, and virtual desktops. - Agentic Readiness Analysis and Modernization Analysis scan repositories in roughly 5–30 minutes. - Findings include severity levels, file-level evidence, and AWS-specific remediation recommendations. ## Aurora MySQL with Kiro Powers - Aurora MySQL now integrates with Kiro Powers, which provide curated MCP servers, steering files, and hooks. - Developers can use natural language for both: - Data-plane tasks such as queries and schema changes - Control-plane tasks such as cluster administration - The integration offers guidance for Serverless scaling, RDS-to-Aurora migrations, and replication. - Kiro generates the relevant API calls, SQL, and configuration for developer review before execution. - Installation is available through the Kiro IDE or website. ## Windows Desktop Streaming with WorkSpaces Applications - Amazon WorkSpaces Applications now supports bring-your-own-license Windows Desktop OS deployments. - Customers can stream complete Windows desktops and applications from dedicated AWS hardware. - BYOL removes operating-system fees, leaving compute and streaming infrastructure charges. - Eligible Microsoft 365 Apps for enterprise are supported. - Users receive a consistent experience across local and streamed desktops. ## Additional AWS News - AWS introduced its May 2026 cohort of AWS Heroes. - A new Vercel and AWS Databases integration allows provisioning Aurora PostgreSQL, DynamoDB, and Aurora DSQL through Vercel or v0. - The H0 hackathon offers $160,000 in prizes for applications built with this stack. - AWS GovCloud customers now receive 24/7 support from US-based, US-citizen engineers automatically, without opting in. AWS’s direction is clear: combine capable AI agents with managed infrastructure, developer tools, and operational automation. Teams evaluating these services should focus on practical agentic use cases while retaining review and governance for generated code, infrastructure changes, and database operations.

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Amazon BedrockAI AgentsAWSClaude Opus+4
aws2 min readCurated summary

Meet Our Newest AWS Heroes – May 2026 | Amazon Web Services

AWS has named four new Heroes for May 2026, recognizing leaders who advance cloud, AI, serverless, and community education. Their work ranges from building Amazon Bedrock-powered tools and contributing to AWS certifications to organizing major user groups and events across Europe and Latin America. Together, they demonstrate how technical expertise and community leadership can help more builders adopt AWS. ## Damiano Giorgi — Pavia, Italy - An Artificial Intelligence Hero and Cloud Solutions Architect specializing in AI. - Helps organize AWS User Groups in Pavia and Milan. - Created the “Unofficial post:Invent Session Suggester,” using Amazon Bedrock and Amazon Nova to recommend re:Invent sessions. - Shares knowledge through his “Bass and Bytes” blog and conferences across Europe. ## Darryl Ruggles — Ottawa, Canada - A Serverless Hero and Cloud Solutions Architect with a background in software development. - Focuses on AWS application architecture, AI/ML, serverless, containers, and FinOps. - Publishes blog posts, LinkedIn content, and open projects. - Participates actively in online communities such as “Believe In Serverless” and in-person AWS events. ## Ricardo Daniel Ceci — Buenos Aires, Argentina - An Artificial Intelligence Hero leading the AWS User Group Buenos Aires, with nearly 2,400 members. - Principal organizer of AWS Community Day Argentina. - Named AWS Community Leader of the Year 2025 for Latin America. - Hosts a podcast with cloud experts, AWS Heroes, and developer advocates. - Works to make cloud and AI more accessible to Spanish-speaking builders across LATAM. ## Matias Kreder — Buenos Aires, Argentina - An Artificial Intelligence Hero and AWS Certification Subject Matter Expert. - Contributed to AI/ML certifications, including the AWS Certified AI Practitioner exam. - Began his community involvement through AWS DeepRacer, qualifying as a finalist three times. - Organizes racing events, ML talks, and AWS community activities across Latin America. - Helped organize AWS Community Day Argentina 2025 and speaks at regional events. These new Heroes illustrate the value of combining AWS expertise with mentorship, content creation, certification work, and community organizing. Builders can learn more or connect with regional leaders through the AWS Heroes program.

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Amazon BedrockAIMachine LearningAWS+4