aws·May 28, 2026·2 min readCurated summary

Introducing the next generation of Amazon OpenSearch Serverless for building your agentic AI applications | Amazon Web Services

Amazon’s next-generation OpenSearch Serverless is a managed search and vector engine optimized for agentic AI applications. It scales from zero to thousands of requests per second, creates resources in seconds, and can reduce costs by up to 60% compared with clusters provisioned for peak demand. The release is generally available across supported AWS commercial Regions and integrates with tools such as Vercel, Kiro, Claude Code, and Cursor. ## Elastic Scaling and Cost Optimization - Scales capacity up to 20 times faster than the previous generation. - Supports scale-to-zero when idle, minimizing compute costs. - Charges separately for compute through OpenSearch Compute Units (OCUs), storage in GB-month, and GPU acceleration where applicable. - Supports capacity limits for indexing and search, with minimum capacity set to zero and configurable maximums. ## Creating Next-Generation Collections - Collections can be created through the Amazon OpenSearch Service console, AWS CLI, or SDKs. - The console’s **Express create** option automatically applies default settings and matching security policies. - At launch, supported collection types are: - Full-text search (`SEARCH`) - Vector search (`VECTORSEARCH`) - Users who need the existing infrastructure can select the classic OpenSearch Serverless generation. - Collections inherit their generation from a parent collection group. Example CLI workflows create a next-generation collection group with standby replicas and then create a search collection within it. ## Integrations for Agent Development - Vercel users can create or connect OpenSearch Serverless collections directly from the Vercel console. - OpenSearch Agent Skills bring search-specific knowledge, best practices, and multi-step workflows into agents using Claude Code, Cursor, and Kiro. - Kiro’s OpenSearch Launchpad provides guided architecture planning for building search applications. ## Availability - The next generation is generally available in all AWS commercial Regions where OpenSearch Serverless is currently offered. - AWS recommends consulting the OpenSearch Serverless documentation and pricing information for configuration and cost details. The release is intended to let developers deploy production-ready search and vector backends quickly, while avoiding the infrastructure management and peak-capacity costs associated with provisioned OpenSearch clusters.

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Amazon Opensearch ServerlessAI AgentsClaude CodeVector Db+4

aws·Feb 16, 2026·3 min readCurated summary

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

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

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Amazon Opensearch ServerlessKubernetesGenerative AIAmazon Bedrock+4