https://aws.amazon.com/dms/ now supports AI agent automation through the AWS MCP Server. You can connect AI coding agents, including Kiro, Claude Code, and Cursor, to DMS Schema Conversion and run complete migration workflows using natural language directly from your IDE. Agents create projects, browse source metadata, convert schemas, generate assessment reports, and export results autonomously. The DMS Schema Conversion skill, dms-schema-conversion, loads on demand and provides agents with predefined procedures, including API patterns, schema exclusions, and operational sequencing rules. Agents follow these procedures rather than improvising from general knowledge, reducing trial-and-error loops. They can also help convert remaining code objects such as stored procedures, functions, and triggers, building on the generative AI capabilities launched at re:Invent 2024. AI agent automation is available for all existing DMS Schema Conversion source and target engine pairs at no additional charge. For regional availability, see the https://docs.aws.amazon.com/dms/latest/userguide/CHAP_SchemaConversion.html#schema-conversion-supported-regions page. To get started, see https://docs.aws.amazon.com/dms/latest/userguide/sc-genai-agents.html in the documentation.

AWS Database Migration Service (DMS) Schema Conversion now supports AI agent automation through the AWS MCP Server. You can connect AI coding agents, including Kiro, Claude Code, and Cursor, to DMS Schema Conversion and run complete migration workflows using natural language directly from your IDE. Agents create projects, browse source metadata, convert schemas, generate assessment reports, and export results autonomously. The DMS Schema Conversion skill, dms-schema-conversion, loads on demand and provides agents with predefined procedures, including API patterns, schema exclusions, and operational sequencing rules. Agents follow these procedures rather than improvising from general knowledge, reducing trial-and-error loops. They can also help convert remaining code objects such as stored procedures, functions, and triggers, building on the generative AI capabilities launched at re:Invent 2024. AI agent automation is available for all existing DMS Schema Conversion source and target engine pairs at no additional charge. For regional availability, see the Supported AWS Regions page. To get started, see Using AI agents with DMS Schema Conversion in the documentation.

This post covers two real migration scenarios using PostgreSQL and AWS RDS: the first is migrating from an on-premises database to AWS RDS using a backup and restore approach, and the second is migrating from one RDS instance to another using AWS Database Migration Service. Both are hands-on, step by step, exactly the way you would do it in a real project.

Groups Conversations All groups and messages Sign in Machine Learning, Deep Learning and AI Conversations About Privacy • Terms     Accelerate database modernization with agentic AI in AWS DMS Schema Conversion 0 views Eyal Estrin unread, 2:38 AM (26 minutes ago)    to https://aws.amazon.com/blogs/database/accelerate-database-modernization-with-agentic-ai-in-aws-dms-schema-conversion/ Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward

Discover more about what's new at AWS with AWS DMS now supports Data Masking

As organizations navigate hybrid cloud environments, reliably moving bulk data from AWS back to on-premises systems becomes critical. This article compares six AWS transfer services—DataSync, Storage Gateway, Snowball Edge, Transfer Family, DMS, and Data Firehose—across architecture, performance, and cost to help you choose the right tool for your workload.

Eyal Estrin unread, 1:16 AM (6 minutes ago)    to https://aws.amazon.com/about-aws/whats-new/2026/07/aws-dms-sc-ai-agent-automation-mcp-server/ https://docs.aws.amazon.com/dms/latest/userguide/sc-genai-agents.html Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com

AWS で終了アナウンスがされたサービスが複数あります。 新規受付終了：Amazon Timestream for LiveAnalytics サービス終了アナウンス：Amazon Pinpoint、AWS IQ、AWS IoT Analytics、AWS IoT Events、AWS SimSpace Weaver、AWS Panorama、Amazon Inspector Classic、Amazon Connect Voice ID、AWS DMS Fleet Advisor 終了済みサービス：AWS Private 5G、AWS DataSync Discovery

AWS の新機能についてさらに詳しく知るには、 AWS Database Migration Service (DMS) が DMS 同種データ移行機能を 29 の AWS リージョンに拡張

AWS Database Migration Service (DMS) Schema Conversion now supports AI agent automation through the AWS MCP Server. You can connect AI coding agents, including Kiro, Claude Code, and Cursor, to DMS Schema Conversion and run complete migration workflows using natural language directly from your IDE. Agents create projects, browse source metadata, convert schemas, generate assessment reports, and export results autonomously. The DMS Schema Conversion skill, dms-schema-conversion, loads on demand and provides agents with predefined procedures, including API patterns, schema exclusions, and operational sequencing rules. Agents follow these procedures rather than improvising from general knowledge, reducing trial-and-error loops. They can also help convert remaining code objects such as stored procedures, functions, and triggers, building on the generative AI capabilities launched at re:Invent 2024. AI agent automation is available for all existing DMS Schema Conversion source and target engine pairs at no additional charge. For regional availability, see the Supported AWS Regions page. To get started, see Using AI agents with DMS Schema Conversion in the documentation.

Zero-downtime MySQL to DynamoDB migration using AWS DMS and a single CDK construct