starkross

starkross / augur

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🇺🇦🇵🇱 A static analysis tool for OpenTelemetry Collector configurations. Built on OPA/Rego, it validates your pipelines, receivers, processors, and exporters against customizable policy rules – catching misconfigurations before they reach production

ci-cd collector-configuration config-linter configuration-validation devops
11
0
100% credibility
Found Apr 05, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Open Policy Agent
AI Summary

Augur is a policy-driven linter that validates OpenTelemetry Collector configuration files for misconfigurations, security vulnerabilities, and performance issues.

How It Works

1
😕 Spot setup troubles

You notice your data collection system dropping info, crashing, or slowing down in real use.

2
🔍 Discover Augur

You learn about Augur, a handy checker that spots common mistakes in data flow instructions before they cause problems.

3
📥 Get Augur ready

You quickly add Augur to your computer using a simple download or package manager.

4
🕵️‍♂️ Check your file

You point Augur at your data setup file and it scans for errors, risks, and slowdowns in seconds.

5
📋 Review the report

Augur shows a clear list of issues like missing safeguards or bad placements, with easy explanations.

6
🔧 Fix the problems

You update your setup file following the simple advice to make it safer and faster.

✅ All clear!

You run the check again and celebrate as everything passes, ready for smooth production use.

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Star Growth

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AI-Generated Review

What is augur?

augur is a CLI static analysis tool for OpenTelemetry Collector configurations, built in Go with OPA/Rego policies. It scans your YAML configs for misconfigurations like missing memory limiters, misplaced batch processors, or hardcoded secrets that could cause OOM kills, data drops, or security leaks in production. Run `augur config.yaml` to get instant fails, warns, and exit codes for CI integration.

Why is it gaining traction?

Unlike generic YAML validators, augur encodes OTEL-specific best practices into readable Rego rules you can extend or skip with `--policy` or `--skip`. Output formats like JSON or GitHub Actions annotations make it dead simple for pipelines, and Docker/brew installs fit any workflow—similar to other GitHub static code analysis tools but tuned for static analysis code in OTEL pipelines.

Who should use this?

DevOps engineers and SREs deploying OpenTelemetry Collectors to Kubernetes or cloud prod environments. Platform teams validating receiver, processor, and exporter pipelines in CI/CD before merges. Anyone tired of debugging silent OTEL failures like inefficient batching or unencrypted exporters.

Verdict

Grab it if you're deep into OTEL—solid docs, tests, and custom policy support make it production-ready despite 11 stars and 1.0% credibility score signaling early maturity. Test on your configs; extend rules to fit your stack.

(178 words)

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