Can I archive data to tables within the same database?

Yes, the skill can move historical records to separate archive tables within your existing PostgreSQL or MySQL instance for easier query access.

Does this skill support zero-downtime migrations?

Yes, the skill is designed to implement archival processes that prioritize system availability, moving data in chunks to minimize or eliminate downtime.

How does it handle data integrity during archival?

The skill follows best practices for data validation, verifying that data has been successfully written to the destination before removing it from the primary source.

Which cloud storage providers are supported?

The system supports the major cloud providers including Amazon S3, Azure Blob Storage, and Google Cloud Storage (GCS).

Database Archival System

Name: Database Archival System
Author: intent-solutions-io

byintent-solutions-io

데이터베이스 관리

Automates historical data migration from primary databases to cost-effective cold storage or archive tables while maintaining compliance.

소개

The Database Archival System skill streamlines data lifecycle management by identifying and moving aging records from PostgreSQL and MySQL databases to archive tables or cloud storage providers like S3, Azure Blob, and GCS. It enables developers to significantly reduce primary database size and improve performance while enforcing automated retention policies and ensuring regulatory compliance through zero-downtime migrations and detailed reporting.

주요 기능

Support for PostgreSQL and MySQL database engines
0 GitHub stars
Automated retention policy enforcement and execution
Zero-downtime data migration with built-in compression
Direct migration to S3, Azure Blob, and Google Cloud Storage
Comprehensive verification and compliance reporting

사용 사례

Reducing production database size to lower infrastructure costs
Offloading historical logs or audit trails to cost-effective cold storage
Implementing automated 90-day or yearly data retention workflows

소개

주요 기능

Support for PostgreSQL and MySQL database engines
0 GitHub stars
Automated retention policy enforcement and execution
Zero-downtime data migration with built-in compression
Direct migration to S3, Azure Blob, and Google Cloud Storage
Comprehensive verification and compliance reporting

사용 사례

Reducing production database size to lower infrastructure costs
Offloading historical logs or audit trails to cost-effective cold storage
Implementing automated 90-day or yearly data retention workflows