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You Can't Enforce
What You Can't See.

Put control back in the hands of the Platform team.
No per-team rollouts. No self-reported scorecards.

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10,000 Repos.
No Two Pipelines Alike.

Every team reshapes CI to fit their stack. No single point of insertion for common checks.

Same CI vendor Every pipeline drifts into its own shape
matches template drifted bespoke never adopted
Same org Every team picks their own stack
  • Language
    Python Go Java TypeScript Ruby + 9 more
  • Framework
    Spring Django Rails Express + 12 more
  • Test
    pytest JUnit RSpec Jest Go test + 8 more
  • Build
    Make Bazel Gradle npm scripts ./bin/build.sh + 100s of custom wrappers
  • CI
    GitHub Actions Jenkins CircleCI + 3 more
  • CD
    ArgoCD Spinnaker Flux + 3 more
  • Data
    Postgres MySQL Mongo Redis + 6 more
  • Runtime
    Kubernetes ECS Lambda Cloud Run + 5 more
  • Infra
    Terraform Helm Pulumi CDK + 5 more
  • SCA
    Snyk Black Duck FOSSA + 3 more
  • SAST
    SonarQube Semgrep Checkmarx + 2 more
  • SBOM
    Syft CycloneDX SPDX Anchore + 3 more
  • Monitoring
    Datadog New Relic Prometheus + 4 more
Every repo picks a different combination. There is no default.
Why every enforcement playbook stalls here

Standards as docs

The rules sit in wikis and AGENTS.md files. Nothing verifies anyone follows them.

Tech stack sprawl

Every check binds to a specific language, runtime, or scanner. Org-wide coverage drops every time a team picks something new.

Broadcast mandates

Slack blasts and all-hands slides reach the whole org. Forgotten within weeks.

From Spreadsheets
to Real-Time Enforcement

Central instrumentation captures what's actually happening in every CI pipeline. Then you can enforce.

Real visibility

Real Visibility, Not Self-Reported Scorecards

Lunar instruments your CI pipelines and captures what actually runs: tests, scans, dependencies, deploys. The data you'd never get from a catalog or a survey.

Write once, enforce everywhere

Write Once, Enforce Everywhere

Define a standard once and it applies across every repo. No per-team config, no opt-in, no drift six months later.

Track migrations in real time

Track Every Migration in Real Time

Your AWS SDK v1 removal becomes a live dashboard, not a monthly spreadsheet. See completion percentages, blocked teams, and ignored repos at a glance.

Idea to guardrail in minutes

From Idea to Working Guardrail in Minutes

Describe the standard in plain English. Lunar's AI generates the collector and policy. Deploy centrally and it's enforced across every repo, in about five minutes.

Gradual enforcement

Gradual Enforcement, Not a Top-Down Mandate

Start in visibility mode. Move to PR comments. Then to blocking. Bring teams along instead of triggering an org-wide revolt on launch day.

Works alongside your catalog

Works Alongside Your Catalog

Backstage, Cortex, OpsLevel, Port. Lunar provides the data layer they're missing. Your catalog stays accurate because Lunar checks what teams actually do, not what they registered.

The Initiatives Stuck in Your Backlog,
Ready to Enforce Today

The standards every platform team is trying to enforce. Drop them in, deploy across every repo, watch the dashboard fill in.

Deprecated SDK detection
Deprecated SDK Detection
Track every repo still importing AWS SDK v1, deprecated internal libraries, or old auth helpers. Block new usage, surface the holdouts, watch the migration finally finish.
Language and runtime version enforcement
Language & Runtime Versions
Block Python 3.9 Lambdas. Surface Java 11 holdouts. Track Go version adoption. Stop guessing what's actually running across the org.
CI required steps enforcement
CI Required-Steps Enforcement
Every repo must run tests, security scans, and the linting suite, regardless of CI system. Detect the repos drifting from the template without per-repo rollouts.
Service catalog validation
Service Catalog Validation
Backstage catalog-info.yaml fields validated, CODEOWNERS present and correct, required service metadata enforced. The catalog stays accurate because the data is fresh.
Helm and Kubernetes configuration
Helm & Kubernetes Configuration
Liveness and readiness probes required, PDBs enforced, resource limits set. The reliability checklist your post-mortems keep producing, finally an actual gate.
Container registry migration
Container Registry Migration
Flag repos pulling images from Docker Hub instead of your private registry. Track base image standardization across hundreds of services in one dashboard.
Explore 100+ Built-in Guardrails
Plus Terraform governance, security scanner coverage, branch protection, SBOM generation, dependency pinning, and more.

Trusted by Platform Engineering Teams
Managing Tens of Thousands of Repos

"
The data collection that takes just 30 lines of bash with Lunar, I honestly can't imagine the effort it would require to build that ourselves.
— Platform Engineering Leader, Major Cloud Communications Platform
"
OPA was never the problem. The hard part is the data: collecting it across every CI system, normalizing it, keeping it fresh. Lunar gives the policy engines the structured signals they were always missing.
— Distinguished Engineer, Fortune 500 Financial Services
3
Guardrails deployed in a single day
(historically: a quarter per check)
1afternoon
To replace a tool that took months
of internal platform engineering
100+
Built-in guardrails
ready to deploy

Ready to Automate Your Standards?

See how Lunar can turn your AGENTS.md, engineering wiki, compliance docs, or postmortem action items into automated guardrails with our 100+ built-in guardrails.

Works with any process
check AI agent rules & prompt files
check Post-mortem action items
check Security & compliance policies
check Testing & quality requirements
Automate Now
Paste your AGENTS.md or manual process doc and get guardrails in minutes
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