Can I use this for production migrations?

Yes, it is specifically designed to validate schema consistency and data integrity immediately after migrations to prevent downstream errors.

Which database types are supported by this skill?

The skill currently supports PostgreSQL, MySQL, MongoDB, and Redis, providing specific drivers and validation logic for each.

Does it handle replication checks?

Yes, it can monitor replication lag, verify replica status, and compare row counts across primary and replica nodes to ensure consistency.

How does it measure database performance?

It executes sample queries (simple, join, and write operations) and compares response times against customizable SLA targets defined in your configuration.

Database Smoke Testing

Name: Database Smoke Testing
Author: FortiumPartners

byFortiumPartners

데이터베이스 관리

Automates comprehensive database health checks to validate connectivity, performance, and integrity during release cycles.

소개

This skill enables Claude to perform automated smoke tests on various database systems including PostgreSQL, MySQL, MongoDB, and Redis to ensure stability during critical deployment phases. It provides a standardized framework for validating connection pooling, query latency against defined SLAs, schema consistency, and replication health, making it an essential tool for CI/CD pipelines, post-migration validation, and canary deployment monitoring.

주요 기능

Schema validation and data integrity constraint checking
Automated query performance benchmarking against SLA targets
Cross-database support for PostgreSQL, MySQL, MongoDB, and Redis
Backup recency and restoration capability verification
Real-time replication health and lag monitoring
0 GitHub stars

사용 사례

Validating database health and schema consistency after running migrations
Executing pre-release readiness checks before staging or production deployments
Monitoring connection pooling and performance during canary rollout phases

소개

주요 기능

Schema validation and data integrity constraint checking
Automated query performance benchmarking against SLA targets
Cross-database support for PostgreSQL, MySQL, MongoDB, and Redis
Backup recency and restoration capability verification
Real-time replication health and lag monitoring
0 GitHub stars

사용 사례

Validating database health and schema consistency after running migrations
Executing pre-release readiness checks before staging or production deployments
Monitoring connection pooling and performance during canary rollout phases