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Exporting Rds To S3

aws/agent-toolkit-for-awsOfficial

Handles the full workflow for getting RDS or Aurora snapshots into S3 as Parquet files. Covers the annoying parts like IAM role setup with proper confused deputy protection, KMS encryption configuration, and export task monitoring. Works with MySQL, PostgreSQL, MariaDB, and their Aurora variants, but not Oracle or SQL Server. The troubleshooting section is actually useful, calling out the common gotchas like waiting for IAM role propagation and checking that your KMS key doesn't get disabled mid-export. Good for feeding data into Athena, Glue, or Redshift Spectrum without wrestling with the AWS export API yourself.

skills.sh installs
6.5K
GitHub stars
3.4K
last updated
Aug 21, 2026
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Install

$ npx -y skills add aws/agent-toolkit-for-aws --skill exporting-rds-to-s3 --agent claude-code

Installs into .claude/skills of the current project.

Files

Exporting RDS/Aurora to S3

Overview

Domain expertise for exporting Amazon RDS and Aurora database snapshots to Amazon S3 in Apache Parquet format. Covers the full workflow: snapshot identification or creation, IAM role and KMS encryption setup, S3 bucket preparation, export task initiation, progress monitoring, data verification, and post-export access guidance for analytics services like Athena, Glue, and Redshift Spectrum.

Export an RDS or Aurora snapshot to S3

To export a database snapshot to S3 with proper IAM roles, encryption, and monitoring, follow the procedure exactly. See RDS to S3 export procedure.

Troubleshooting

Database not found

Verify the database identifier spelling, case, and region. For Aurora, use describe-db-clusters instead of describe-db-instances.

Export not supported

Snapshot export supports MySQL, PostgreSQL, MariaDB, Aurora MySQL, and Aurora PostgreSQL only. Oracle and SQL Server are not supported.

SKILL.md on GitHub

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Details

Repository
github.com/aws/agent-toolkit-for-aws
Categories
Backend & APIs, Testing & QA, Security, DevOps & CI/CD, Code Review & Quality, AI & Agent Building, Data Science & ML, Marketing & SEO, Cloud & Infrastructure, Databases
First seen
Jun 3, 2026

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