Gremlin

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Introduction

Gremlin describes itself as enterprise reliability management and resilience testing. Its message is “Stop guessing about your reliability. Start proving it”: find risks before incidents, get fixes and re-test to prove they worked.

The platform combines chaos engineering style fault injection with reliability guardrails, dependency discovery, reliability scoring and reporting, so teams can show leadership whether reliability investments are working.

New in 2026 is Foresight AI: supervised AI agents grounded in Gremlin’s Failure Atlas, a record of how real systems fail and recover. Gremlin says the agents find your highest risks, deliver fixes for your team to approve and re-run tests to prove the risks are gone.

In the quality loop, Gremlin covers production resilience: scheduled reliability tests, peak-readiness campaigns and verification after fixes.

Features

1. Fault injection: Resource, network and state attacks on hosts, containers and services.
2. Reliability tests and scores: Standardised tests and scoring per service.
3. Dependency discovery: Map and test dependencies.
4. Foresight AI: Supervised agents that find risks and propose fixes.
5. Guardrails: Safety controls and halt conditions.
6. Reporting: Show reliability trends to leadership.
7. Professional services: Reliability Baseline, Peak Readiness Campaign and Continuous Reliability Roadmap.
8. Integrations: Observability and CI integrations; see site.

Pros

1. Enterprise focus: Programme-level reliability management.
2. Safety controls: Guardrails for production testing.
3. Services available: Expert-led engagements.
4. Free trial: 30 days.
5. Mature vendor: Long-established in chaos engineering.

Cons

1. Custom pricing: No public price list.
2. Commercial only: No open-source edition.
3. Agent installation: Requires agents in your environment.
4. Organisational change: Needs a reliability programme to get full value.
5. AI features are vendor claims: Evaluate Foresight AI on your own systems.

Usage and Links (Example)

Typical path:

1. Start the 30-day trial or request a demo.
2. Install the Gremlin agent on hosts or Kubernetes.
3. Run reliability tests (for example dependency latency or host failure) on a non-critical service.
4. Review scores, fix gaps and re-run tests to confirm.

Resources:

• Gremlin website
• Pricing

Pricing

Gremlin offers custom quotes, priced per service, with a 30-day free trial. Professional services are scoped per engagement. See Gremlin’s pricing page.

Recommended for?

1. Enterprises building a formal reliability programme.
2. Teams preparing for peak events.
3. Organisations wanting expert help alongside a platform.
4. Not a fit for teams wanting free, open-source chaos tools.

Conclusion

Gremlin is an enterprise reliability platform that pairs fault injection with scoring, reporting and AI agents.

Use the trial to validate value on real services before committing.