Release Train Readiness Check
Audit release candidates, verify automated test suites, validate rollback procedures, and log go/no-go decisions in Markdown.
Template Overview
Deploying production software requires disciplined pre-flight auditing across test pass rates, rollback procedures, database migrations, and operational observability. The Release Train Readiness Check template unifies release engineering, QA, and security leads in an objective Go / No-Go decision framework.
Markdown Template Structure
Copy the block below or click Download .md File to add this template directly to your personal vault:
---
title: "Release Train Readiness: v[X.Y.Z]"
date: [YYYY-MM-DD]
release_version: "v[X.Y.Z]"
release_captain: "[[Release Lead Name]]"
qa_lead: "[[QA Lead Name]]"
security_evaluator: "[[Security Lead Name]]"
final_decision: "GO / NO-GO / CONDITIONAL GO"
tags: [release, deployment, devops, sre, testing, qa]
---
# Release Train Readiness Check — v[X.Y.Z]
## 1. Automated Test Suites & Regression Verification
- **Unit & Integration Test Pass Rate:** 1,420 / 1,420 tests passing (100% green).
- **End-to-End Test Suite:** Zero critical path test failures across clean virtual machines.
- **Security Vulnerability Scan:** Snyk and npm audit show 0 high, 0 critical CVEs.
## 2. Pre-Flight Release Audit Checklist
| Verification Item | Required Standard | Observed Result | Status |
|---|---|---|---|
| Database Migrations | Fully backward-compatible | Schema changes verified non-destructive | Pass |
| Rollback Runbook | Automated rollback script tested | Staging rollback verified in <90 seconds | Pass |
| Feature Toggles | Kill-switches operational | Remote flags tested in local staging harness | Pass |
| Egress Guard Tests | Zero network calls during offline mode | Wireshark packet capture verified clean | Pass |
## 3. Known Issues & Non-Blocking Deficiencies
- **DEF-104:** Minor dark-mode color contrast issue on secondary modal footer (Defer to v[X.Y.Z+1]).
- **DEF-108:** Rare tooltip hover flicker on Intel Macs without Metal acceleration (Known issue, documented in release notes).
## 4. Formal Stakeholder Sign-Offs & Go/No-Go Decision
- **Engineering Lead:** APPROVED
- **QA Lead:** APPROVED
- **Infra Lead:** APPROVED
- **Final Consensus Decision:** **GO FOR PRODUCTION RELEASE**
## 5. Deployment Rollout Cadence
- **Phase 1 (Canary):** Deploy to 5% of early beta cohort at 10:00 UTC.
- **Phase 2 (General Availability):** Expand to 100% of production users at 14:00 UTC if error metrics remain baseline.
Filled Real-World Example
Here is a realistic example demonstrating how this template captures actual deliberations:
---
title: "Release Train Readiness: v2.4.0"
date: 2026-10-09
release_version: "v2.4.0"
release_captain: "[[Tarek Mansour]]"
qa_lead: "[[Clara Jensen]]"
security_evaluator: "[[Evelyn Reed]]"
final_decision: "GO"
tags: [release, deployment, devops, sre]
---
# Release Train Readiness Check — v2.4.0
## 1. Verification Highlights
Tarek Mansour reviewed the final release candidate build. All 134 built-in privacy and SEO test suites passed with zero errors. Evelyn Reed confirmed the client binary contains zero tracking SDKs and enforces strict sandbox boundaries.
## 2. Decision
The release team unanimously voted **GO**. Phased canary rollout commences at 10:00 UTC.
When to Use and When to Avoid
When to Use
- Use during formal Go / No-Go release readiness meetings prior to shipping production builds.
- Use to establish documented verification of test suite coverage, rollbacks, and security scans.
- Use to preserve an auditable regulatory record of software deployment compliance.
When to Avoid
- Avoid using for continuous deployment micro-patches that do not alter public contracts.
- Avoid using for early conceptual product brainstorming.
On-Device AI Integration
Summarize your recording in Oyma with this local instruction:
Analyze the release readiness check audio recording:
1. Extract all automated test pass counts, security audit scan results, and regression metrics.
2. Summarize stakeholder evaluations of database migrations, rollback scripts, and known non-blocking bugs.
3. Record the formal Go / No-Go decision, deployment timeline, and canary rollout percentages.
Output in clean, structured Markdown.
Your data remains securely on your Mac with zero cloud exposure.
Frequently Asked Questions
What criteria decide a formal Go / No-Go release decision?
Zero open Sev-1/Sev-2 blocking bugs, 100% green regression test runs, verified database migration rollbacks, and signed security approvals.
Why document release candidate readiness in Markdown?
Markdown files generate an immutable audit trail that can be checked directly into the release tag or Git commit history.
Does Oyma upload deployment audio or release notes to the cloud?
No. Oyma runs locally on macOS, ensuring unreleased software features and build versions remain confidential.
Write release train readiness check in plain Markdown.
Store notes in your local vault, transcribe meetings on-device, and retain 100% data sovereignty.