Run reliability checks before every deploy.

The ReliOp API plugs into your CI/CD and incident workflows. Score risk before deploy. Block bad releases. Generate fixes automatically.

No agents. No production access. Runs entirely from config.
Quickstart

From config to first API response in under 60 seconds

ReliOp is self-hosted by default. Once your instance is running, every endpoint below is available on your private network.

# 1. Start reliOp on your own infrastructure python manage.py run --host 0.0.0.0 --port 5000 # 2. Detect: evaluate a service config against the rules engine curl -X POST http://reliop.internal:5000/api/audit \ -H "Content-Type: application/json" \ -d @services.json # 3. Explain: pull the full dashboard payload with incident patterns curl http://reliop.internal:5000/api/dashboard # 4. Remediate: generate a targeted runbook (Enterprise) curl -X POST http://reliop.internal:5000/api/runbook/order-service

Works from any language, any CI runner, any orchestration layer. Your data never leaves your environment.

Where This Fits

Into the workflows you already run

Three touchpoints. Same API. No new tool to operate.

Before deploy

CI/CD risk gate

Every PR that touches a service config is scanned. Builds fail when the risk score breaches your threshold — before merge, not after incident.

During incident

Blast radius + runbooks

When PagerDuty, Rootly, or incident.io fire on a service, ReliOp injects downstream impact and a targeted runbook draft into the incident record.

After incident

Pattern learning

Cluster incidents by root-cause family, cost concentration, and repeat-offender services. Feed the signal back into the next risk score.

The Four Capabilities

Detect. Analyze. Fix. Learn.

Each capability is a first-class surface in the API — wired together, or used independently.

Detect

Find high-risk failure points before deploy

An 8-rule reliability engine scores service configs and produces a 0–100 operational risk score on every pull request.

Analyze

Map blast radius across services

Dependency graph and cascading-failure impact for every service, computed entirely from declared config — no agents, no runtime traces.

Fix

Generate targeted remediation steps

Per-service runbooks that cite the exact violation, downstream risk, and the remediation order that reduces impact fastest.

Learn

Capture incident patterns and prevent repeats

Cluster historical incidents by root-cause family, cost concentration, and temporal signature — surface the recurrences worth fixing.

Workflow

How it works in your pipeline

Five steps. No new tooling to install. Every step emits JSON your existing systems already speak.

1
Commit / PR created

A developer pushes a service config change.

2
ReliOp scans the config

8-rule engine maps dependencies and computes blast radius.

3
Risk score generated

0–100, with per-rule violations and affected services.

4
CI gate passes or fails

Merge is blocked when risk breaches your threshold.

5
Fix suggestions attached

Targeted remediation steps posted to the PR for the developer.

PR Config Scan Risk Score: HIGH Block Deploy
Fix: Add fallback for payment-service
Blast radius reduced: 60%
API

Simple API, fast results

Enterprise

Enterprise-ready when you are

Ready to run this on your stack?