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What a finding looks like

HIGHsvc/main.py:4

requests.get has no timeout or deadline

control RC-019 · rvl explain bfyx

How it works → Features →
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Platform

  • Detect Match your code against real incident patterns. Included in every plan.
  • Correlate Find the low risks that combine into one high risk across services.
  • Architect STPA-inspired hazard analysis of your control structure.

Developer tools

  • rvl CLI Open source scanner. Runs locally. Your code stays on your machine.
  • MCP server Incidents, risks, and controls inside your coding agent.
  • Agent plugins /scan, /ask, and /fix in the coding agent you already use.

Capabilities

  • Risk register Classified, scored, and linked to services and teams.
  • Controls catalog 70 reliability controls with evidence tracking.
  • SOC 2 readiness Coverage by criterion, with current evidence.
Solutions

From an early user

“It's not just telling me the problem, but I can already start to see the matrix beyond it as the same failure class is highlighted across multiple disparate repositories.”

Principal Engineer, ex-Amazon/ex-Google

All solutions →

By use case

  • Pre-commit risk gate Block the risky change before it merges.
  • Guardrails for AI-written code Your agent writes the code. Revelara checks it against real outages.
  • SOC 2 reliability evidence Evidence that stays current between audits.
  • Learn from incidents, public and your own Thousands of public incidents, and your own, become findings in the next diff.
  • Reliability design review Find systemic hazards before you build.

By team

  • Developers Findings in your terminal, with the reason attached.
  • Staff engineers and architects See the same failure class across every repo.
  • Platform and SRE Scale your judgment across every team.
  • Engineering leaders Where risk is dense, and which way it moves.
  • Security and compliance Map engineering controls to audit criteria.
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Taxonomy

Reliability, systems thinking, and what we find while building.

The Reliability Top 10, First Edition

Ten of the thirty-eight causal factors, ranked by the number of public incidents each appears in, across 1,287 incidents from 139 organizations. A reference for deciding where reliability effort goes, with the counting rules and the known biases stated alongside it.

Reliability Top 10·Oct 5, 2026

Causal Factor Enumeration v1: The Full Catalog

All 38 contributing conditions in the first edition of the catalog, grouped into seven categories. Every entry has a stable CF identifier and its own link, so you can cite it.

Reliability Top 10·Sep 29, 2026

Building a Causal Factor Enumeration for Reliability

Reliability has had outage taxonomies since 2003 and none became a shared vocabulary. This is an argument about why the earlier attempts didn't take hold, and the method behind a 38-entry catalog of contributing conditions based off of public incident disclosure data.

Reliability Top 10·Sep 29, 2026

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