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Gremlin
Proactive reliability and chaos engineering platform for cloud infrastructure.
What it does
- Provides fault injection capabilities to safely test system resilience against real-world failures. - Automates reliability testing and dependency discovery across complex cloud environments. - Validates disaster recovery processes, including zone, region, and datacenter failovers. - Monitors detected risks and supplies actionable reliability insights to prevent outages.
Why it works
Proactively identifies system vulnerabilities before customer-facing outages occur. Automates complex chaos engineering experiments to reduce manual toil and testing overhead. Provides safe, controlled fault injection that isolates testing from production data loss. Integrates seamlessly into modern CI/CD pipelines and cloud architectures.
Category: AI & Automation
Team Size: 26-100
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As of 2026
AI & Automation
Revenue: $1M-$10M ARR
Proactive reliability and chaos engineering platform for cloud infrastructure.
Overview
Gremlin is a reliability platform designed to help engineering teams proactively manage system stability at scale. The platform enables users to uncover infrastructure risks, run automated fault injection tests, and validate disaster recovery processes. By simulating outages safely before they impact customers, teams can prevent downtime and improve application resilience. It is trusted by leading enterprise cloud engineering teams worldwide.
Funding status: Funded
Revenue source: Subscriptions
Customer type: B2B
Pricing: Subscription
Tech stack: Go, Kubernetes, AWS, Microservices
Platform: Web • Cloud
Integrations: Kubernetes, AWS, Dynatrace, Linkerd, Istio, Prometheus, Datadog
Founder story
Gremlin was founded in 2016 by Kolton Andrus and Matthew Fornaciari in San Jose, United States. Drawing from their backgrounds with large-scale distributed systems at companies like Amazon and Netflix, the founders sought to make chaos engineering accessible to all engineering teams. The company has raised $26.8M in venture funding to build a safer, more reliable internet.
What it does
- - Provides fault injection capabilities to safely test system resilience against real-world failures
- - Automates reliability testing and dependency discovery across complex cloud environments
- - Validates disaster recovery processes, including zone, region, and datacenter failovers
- - Monitors detected risks and supplies actionable reliability insights to prevent outages.
Who it's for
- Software Engineers
- DevOps Teams
- Site Reliability Engineers
- Enterprise IT Leaders
Why it works
- Proactively identifies system vulnerabilities before customer-facing outages occur
- Automates complex chaos engineering experiments to reduce manual toil and testing overhead
- Provides safe, controlled fault injection that isolates testing from production data loss
- Integrates seamlessly into modern CI/CD pipelines and cloud architectures.
Growth strategies
- Expanding enterprise partnerships and cloud ecosystem integrations
- Developing advanced AI- driven reliability intelligence and guardrails
- Driving adoption through self- service tiers and community certifications
- Targeting highly regulated industries requiring rigorous disaster recovery compliance
Alternatives
Comparison overview
- PagerDuty primarily focuses on incident response and alert management, whereas Gremlin specializes in proactive chaos engineering and fault injection testing.
- BigPanda offers AI-driven IT infrastructure monitoring, while Gremlin actively induces controlled failures to test system resilience.