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Rank #262
FAILURE PREDICTION ENTERPRISE CLOUD #1 in Failure Prediction State of the Art

Gremlin Review — Failure Injection & Chaos Engineering

Gremlin helps SREs and DevOps safely run chaos engineering experiments to prevent outages.

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Reviewed by Volvenix Editorial
7.5
Volvenix Verdict
AI-powered editorial review
Gremlin
A robust chaos engineering platform ideal for teams focused on reliability and resilience testing.
PROS
  • Safe-by-design failure injection framework
  • Native integrations with observability tools
  • User-friendly interface for chaos experiments
  • Repeatable and controlled chaos testing
  • Strong focus on system reliability
CONS
  • Enterprise pricing limits accessibility
  • No public free tier or detailed pricing info

Is Gremlin Right for You?

A quick checklist to help you decide.

You want to proactively identify and fix system weaknesses before outages occur.
You need a low-cost or free chaos testing tool for small teams or individual use.
You need a controlled, repeatable chaos engineering platform for production environments.
Free-tier limits are a blocker for your experimentation needs.
Your team requires native integrations with monitoring and observability tools.
You require detailed public pricing or self-hosted deployment options.

Ideal for: SRE and DevOps teams aiming to proactively test system failure scenarios and improve uptime.

Less suited for: Small teams or startups without dedicated reliability engineers or budget for enterprise pricing.

Bottom line: The ability to safely inject failures in production with native observability integrations.

Editorial Review AI-generated
Gremlin excels at providing a safe and structured way to perform chaos engineering, helping teams identify vulnerabilities before they impact users. Its native integrations with monitoring tools and a user-friendly interface make it accessible for SREs and DevOps. However, pricing is enterprise-focused and not publicly detailed, which may limit accessibility for smaller teams. It is best suited for organizations with mature DevOps practices seeking to embed chaos testing into their workflows.

AI-assessed from 3 sources.

Pros & Cons

Pros

Safe and controlled chaos engineering framework
Integrates with major observability platforms
Enables repeatable failure injection experiments
Strong focus on production environment safety
User-friendly and well-documented platform

Cons

Pricing is not publicly available and targets enterprises major
No free or trial plan for initial evaluation moderate
Who Is It For & What Can It Do
Best For
Developer / Engineer Product Manager Intermediate curve
AI Capabilities
Failure Injection Observability Integration
Key Features
Failure Injection
Injects CPU, memory, network, and other failures safely
Observability Integrations
Integrates with tools like Datadog, New Relic, Prometheus
Attack Scheduling
Schedule and automate chaos experiments
Role-Based Access Control
Manage user permissions and security
API Access
Programmatic control of chaos experiments
Best Use Cases
Proactively test system resilience in production Validate failover and recovery procedures Identify hidden infrastructure weaknesses Train teams on incident response scenarios Improve uptime by preventing outages
AI Models Used
Proprietary AI Models by Unknown
Available Platforms
Web App
Integrations
Inputs & Outputs
Apiinput Apioutput
Supported Languages
English
Security & Compliance
Compliance Standards
GDPR
Privacy · EU
Encryption
AES-256 at_rest TLS-1.2 in_transit
Pricing Plans

Free

Up to 5 hosts, limited attack types

Free
 
  • Up to 5 hosts
  • Resource and state attacks
  • Basic scenario support
  • Community support

Team

Full attack library for growing engineering teams

$899/mo
 
  • Unlimited attacks
  • GameDay support
  • CI/CD integrations
  • Observability integrations
  • Email and ticket support

Enterprise

Custom pricing for large-scale reliability programs

Custom
 
  • Everything in Team
  • SSO and RBAC
  • Advanced audit logging
  • Dedicated customer success
  • SLA guarantees
  • Custom onboarding

Pricing is enterprise-focused and available upon request, tailored to organizational needs.

Support Channels
Tools using similar AI models

Inferred from shared AI-model tagging — not a confirmed product relationship.

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Frequently Asked Questions
What is this tool?
Gremlin is a chaos engineering platform that safely injects failures to improve system reliability.
How much does it cost?
Pricing is enterprise-based and available upon request from Gremlin's sales team.
Does it have a free plan?
Gremlin does not offer a free or trial plan publicly.
What integrations does it support?
Gremlin integrates natively with observability tools like Datadog, New Relic, and Prometheus.
Who is it best for?
It is best suited for SRE and DevOps teams focused on improving production system resilience.
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