awsAug 3, 2026

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

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

amazon-cloudwatchamazon-bedrockapache-kafkaapache-iceberg+4

awsJul 27, 2026

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 (opens in new tab)

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.

amazon-cloudwatchawsamazon-bedrockaws-lambda+4

awsMay 11, 2026

AWS Weekly Roundup: Amazon Bedrock AgentCore payments, Agent Toolkit for AWS, and more (May 11, 2026) | Amazon Web Services (opens in new tab)

The May 11, 2026 AWS roundup highlights growing support for autonomous AI agents, especially through Amazon Bedrock AgentCore’s managed payment capabilities. It also covers new tools for building secure agents on AWS, enhanced WorkSpaces automation, faster EC2 instances, and updates across Valkey, vector search, and agentic SRE operations. ## AgentCore Payments for Autonomous Agents - Amazon Bedrock AgentCore previewed managed payments for AI agents. - Agents can autonomously pay for: - APIs - MCP servers - Web content - Other agents - The service was developed with Coinbase and Stripe to handle billing, credentials, and compliance. - Developers can connect: - Coinbase CDP wallets - Stripe Privy wallets - Session-level spending limits help control agent transactions. - Potential applications include research agents purchasing live market data and coding agents calling paid APIs during execution. ## New Tools for Building AI Agents on AWS - **Agent Toolkit for AWS** provides production-ready tools and guidance at no additional charge. - It aims to reduce coding errors and token usage while adding enterprise security controls. - The toolkit replaces AWS Labs’ earlier MCP servers, plugins, and skills. - **AWS MCP Server** is now generally available as a managed, remote MCP server. - It provides secure, authenticated access to AWS services. - Agents interact through a small, standardized set of tools. - It is included in the Agent Toolkit for AWS. ## AI-Controlled Workspaces and New EC2 Instances - **Amazon WorkSpaces for AI agents** entered preview. - Agents can securely access and operate desktop applications. - Managed WorkSpaces environments provide governance and compliance controls. - The capability targets large-scale automation of everyday workflows. - New **EC2 M8idn/M8idb and R8idn/R8idb instances** use sixth-generation Intel Xeon processors and AWS Nitro cards. - They provide up to 43% better compute performance per vCPU than prior generations. - M8idn and R8idn offer up to 600 Gbps of network bandwidth. - M8idb and R8idb offer up to 300 Gbps of EBS bandwidth. ## Valkey and Vector Search Updates - Valkey, the community-driven Redis alternative, marked its second anniversary. - It has surpassed: - 100 million Docker pulls - 225 contributors - 1,500 pull requests - Valkey’s development pace is described as roughly twice that of Redis over the same period. - Valkey 9.0 is available through Amazon ElastiCache. - Amazon Aurora PostgreSQL-Compatible Edition can query billion-scale Amazon S3 Vectors using standard SQL. - Vector similarity searches can be combined with relational filters, such as price, inventory, or tenant, in a single query. ## Agentic Site Reliability Engineering - AWS DevOps Agent can be configured with “Spaces” that define investigation scopes. - It integrates with Amazon CloudWatch, Splunk, GitHub, and Slack. - Webhooks can trigger automated investigations. - The system can create mitigation plans and produce agent-ready specifications for coding tools such as Kiro. AWS’s latest updates emphasize autonomous agents that can transact, operate software, investigate incidents, and interact with cloud services while remaining governed by enterprise security and spending controls. Teams interested in these capabilities should start with the Agent Toolkit for AWS and explore the related previews and documentation.

amazon-cloudwatchai-agentmodel-context-protocolamazon-ec2+4

awsMay 5, 2026

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

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.

amazon-cloudwatchai-agentmodel-context-protocolamazon-bedrock+4

awsJan 26, 2026

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

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

amazon-cloudwatchgen-aiawsamazon-ec2+4

awsDec 15, 2025

AWS Weekly Roundup: Amazon ECS, Amazon CloudWatch, Amazon Cognito and more (December 15, 2025) (opens in new tab)

The AWS Weekly Roundup for mid-December 2025 highlights a series of updates designed to streamline developer workflows and enhance security across the cloud ecosystem. Following the momentum of re:Invent 2025, these releases focus on reducing operational friction through faster database provisioning, more granular container control, and AI-assisted development tools. These advancements collectively aim to simplify infrastructure management while providing deeper cost visibility and improved performance for enterprise applications. ## Database and Developer Productivity * **Amazon Aurora DSQL** now supports near-instant cluster creation, reducing provisioning time from minutes to seconds to facilitate rapid prototyping and AI-powered development via the Model Context Protocol (MCP) server. * **Amazon Aurora PostgreSQL** has integrated with **Kiro powers**, allowing developers to use AI-assisted coding for schema management and database queries through pre-packaged MCP servers. * **Amazon CloudWatch SDK** introduced support for optimized JSON and CBOR protocols, improving the efficiency of data transmission and processing within the monitoring suite. * **Amazon Cognito** simplified user communications by enabling automated email delivery through Amazon SES using verified identities, removing the need for manual SES configuration. ## Compute and Networking Optimizations * **Amazon ECS on AWS Fargate** now honors custom container stop signals, such as SIGQUIT or SIGINT, allowing for graceful shutdowns of applications that do not use the default SIGTERM instruction. * **Application Load Balancer (ALB)** received performance enhancements that reduce latency for establishing new connections and lower resource consumption during traffic processing. * **AWS Fargate** cost optimization strategies were highlighted in new technical guides, focusing on leveraging Graviton processors and Fargate Spot to maximize compute efficiency. ## Security and Cost Management * **Amazon WorkSpaces Secure Browser** introduced Web Content Filtering, providing category-based access control across 25+ predefined categories and granular URL policies at no additional cost. * **AWS Cost Management** tools now feature **Tag Inheritance**, which automatically applies tags from resources to cost data, allowing for more precise tracking in Cost Explorer and AWS Budgets. * **Amazon Step Functions** integration with Amazon Bedrock was further detailed in community resources, showcasing how to build resilient, long-running AI workflows with integrated error handling. To take full advantage of these updates, organizations should review their Fargate task definitions to implement custom stop signals for better application stability and enable Tag Inheritance to improve the accuracy of year-end cloud financial reporting.

amazon-cloudwatchpostgresqlcloud-computingamazon-ecs+3

awsDec 2, 2025

Amazon CloudWatch introduces unified data management and analytics for operations, security, and compliance (opens in new tab)

Amazon CloudWatch has evolved into a unified platform for managing operational, security, and compliance log data, significantly reducing the need for redundant data stores and complex ETL pipelines. By standardizing ingestion through industry-standard formats like OCSF and OpenTelemetry, the service enables seamless cross-source analytics while lowering operational overhead and storage costs. This update allows organizations to move away from fragmented data silos toward a centralized, Iceberg-compatible architecture for deeper technical and business insights. **Data Ingestion and Schema Normalization** * Automatically collects AWS-vended logs across accounts and regions via AWS Organizations, including CloudTrail, VPC Flow Logs, WAF access logs, and Route 53 resolver logs. * Includes pre-built connectors for a wide range of third-party sources, such as endpoint security (CrowdStrike, SentinelOne), identity providers (Okta, Entra ID), and network security (Zscaler, Palo Alto Networks). * Utilizes managed Open Cybersecurity Schema Framework (OCSF) and OpenTelemetry (OTel) conversion to ensure data consistency across disparate sources. * Provides built-in processors, such as Grok for custom parsing and field-level operations, to transform and manipulate strings during the ingestion phase. **Unified Architecture and Cost Optimization** * Consolidates log management into a single service with built-in governance, eliminating the need to store and maintain duplicate copies of data across different tools. * Introduces Apache Iceberg-compatible access via Amazon S3 Tables, allowing data to be queried in place by external tools. * Removes the requirement for complex ETL pipelines by providing a unified data store that is accessible to Amazon Athena, Amazon SageMaker Unified Studio, and other Iceberg-compatible analytics engines. **Advanced Analytics and Discovery Tools** * Supports multiple query interfaces, allowing users to interact with logs using natural language, SQL, LogsQL, or PPL (Piped Processing Language). * The new "Facets" interface enables intuitive filtering by application, account, region, and log type, featuring intelligent parameter inference for cross-account queries. * Enables the correlation of operational logs with business data from third-party tools like ServiceNow CMDB or GitHub to provide a more comprehensive view of organizational health. Organizations should leverage these unified management features to consolidate their security and operational monitoring into a single source of truth. By adopting OCSF normalization and the new S3 Tables integration, teams can reduce the technical debt associated with managing multiple log silos while improving their ability to run cross-functional analytics.

amazon-cloudwatchlog-managementamazon-s3apache-iceberg+4