dataops-release-readiness-review

What problem does it solve?

This Skill helps data teams prevent production incidents by systematically verifying that a data platform release is production-ready, including schema compatibility, rollback safety, operational readiness, and post-release validation.

Core Features & Use Cases

• Pre-release readiness checklist: Covers code quality, dbt test coverage, infrastructure sizing, security scan outcomes, and DAG import stability.
• Schema and data compatibility checks: Ensures backward-compatible migrations, validates consumer impact, and performs reconciliation (row counts and key metrics) between old and new pipeline versions.
• Go/No-Go governance with validation checkpoints: Defines automated-style criteria and a structured post-release monitoring plan at 15-minute, 1-hour, and 24-hour intervals, including runbook and communication templates.
• Rollback readiness: Includes documented and tested rollback steps plus a strategy for disabling changes via feature flags when applicable.

Quick Start

Ask the data engineering lead to run a release readiness review using this checklist before deploying a major data platform change to production.