
Production Master
AI incident investigation platform with evidence-based reports and human approval
MCP serverDevOps & infraSecurityOther1 viewlaunched Oct 24, 2026
Comments
0תמיר כהןMaker
What additional evidence sources would improve your incident investigations?
About Production Master
Production Master is an AI-SRE pipeline for investigating production incidents. It collects and cites production signals such as logs, metrics, deploy diffs, and config changes. Each incident report cites the source of every claim and waits for human approval before any changes are applied.
Users can self-host Production Master via Helm in their Kubernetes cluster or use the managed service. The platform generates replayable evidence dossiers that provide a conclusion with supporting exhibits, ensuring transparency and auditability. Actions are proposed but require manual approval to proceed.
The platform is designed to keep the investigation runtime identical whether self-hosted or managed, ensuring consistent evidence gathering. It currently supports deploy history, metrics, application logs, and cluster events as evidence sources, with air-gapped installs planned for the future.
How it was built with Claude
3 months of claude code max and me, 12 repos, 1.5 millon rows of code - from arcitacture to development, testing, CI/CD, buisness, marketing, everything!
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Overview
Who is it for?
Site reliability engineers and operations teams
Problem
Incidents lack cited, auditable evidence and changes sometimes happen without human approval
Solution
Automates incident analysis with cited evidence and requires human approval before changes
What makes it unique
Gathers, cites, and presents evidence with each claim and provides a human approval gate before acting
The maker
Maker · @tamircohen2468










