The Playbook That Went Missing: A Paved-Path Knowledge Platform for Safer, Faster Delivery
How a missing runbook almost sank a peak-season launch—and why a simple, paved-path knowledge system outperforms bespoke tooling every time.
"The playbook vanished, the system stalled, and the customers noticed. The cure was a paved-path knowledge platform that outlived people."Back to all posts
This article isn\u2019t about fancy ai copilots or yet another bespoke wiki. It\u2019s about institutional memory: the tacit knowledge that lets teams ship safely when people move on, scale, or go on vacation. We codified that memory into three domains: Runbooks for operations, Incident Wisdom from postmortems, and the
Architecture Rationale that explains why decisions were made, not just what was decided. We stored all three as docs-as-code in a Git-backed repository, so every decision, every operator checklist, and every rationale travels with the code and changes with the platform. On a typical week, a new on-call engineer can
pull up the current runbook, read the postmortem narrative, and understand the rationale behind the chosen approach, all without paging through a dozen disparate sources. The result is a single source of truth that survives org changes, hiring ramps, and migrations between tooling ecosystems.
In practice, this turned a fragile memory system into a durability feature. For instance, after a incident where refunds were misprocessed due to an out-of-date runbook, the team moved to a strict PR-driven process for all production runbooks and ADRs, with automated consistency checks. The platform began to feel like
the codebase itself: you could ship features, roll back safely, and onboard new engineers in days rather than weeks because the knowledge was anchored to the same cadence as the work.
Related Resources
Key takeaways
- Treat knowledge as a code artifact: store runbooks, postmortems, and ADRs in a Git-backed repository with PR reviews.
- Paved-road defaults beat bespoke tooling: minimal surface area, lower maintenance, faster onboarding, fewer integration points to fail.
- Automate knowledge capture from incidents and deployments to keep institutional memory fresh and trustworthy.
Implementation checklist
- Define 3 core knowledge domains (Runbooks, Incident Wisdom, Architecture Rationale) and map to repos.
- Adopt a docs-as-code workflow (MkDocs or Docusaurus) with PR-based reviews and automated link checks.
- Integrate knowledge into CI/CD: runbooks gated to production changes; ADRs tied to decision logs.
- Run a postmortem-to-knowledge feedback loop after major incidents and seed the vault with templated templates.
Questions we hear from teams
- What is a paved-path knowledge platform?
- It\u2019s a lean, docs-as-code driven knowledge base anchored to Git, with templated runbooks, decision logs, and automated capture from incidents and deployments.
- How long does it take to see impact?
- Expect 6 weeks to seed the vault and integrate with incident workflows; measurable improvements appear in MTTR and onboarding times.
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