
Gremlin
Find and Fix Your Reliability Risks
Description
Gremlin provides an enterprise-focused reliability platform designed to help organizations enhance the stability and availability of their complex systems. It enables teams to proactively find and address potential reliability risks before they impact users or revenue. The platform centers around safe and secure Chaos Engineering practices, allowing businesses to build trust in their systems even as complexity grows.
Core capabilities include controlled Fault Injection to test system robustness against specific failures, Reliability Scoring to define, measure, and monitor service reliability across the enterprise, and automated Detected Risks monitoring. Gremlin also facilitates Dependency Discovery to map and test system interdependencies and offers Failure Flags for testing application and serverless function resiliency. These tools integrate into development and operations workflows, supporting activities from shift-left testing to validating disaster recovery plans and de-risking cloud migrations.
Key Features
- Fault Injection: Safely and securely test system robustness by injecting failures.
- Reliability Scoring: Define, measure, and monitor service reliability across the enterprise.
- Detected Risks: Continuously monitor systems for critical reliability risks.
- Dependency Discovery: Automatically identify and test your system dependencies.
- Failure Flags: Test the resiliency of applications and serverless functions.
- Chaos Engineering Experiments: Run custom, pre-built, and GameDay chaos experiments safely.
- Reliability Test Suite: Standardized tests to quickly find and remediate unidentified risks.
- Reliability Dashboards & Reporting: Track reliability posture over time and communicate progress.
- Enterprise Security & Performance: Built for demanding enterprise environments.
- Private Edition: Option to deploy an isolated Gremlin instance in a private network.
Use Cases
- Modernize resilience practices in Finance.
- Improve SaaS application reliability without slowing down.
- Eliminate revenue-impacting downtime in Retail.
- Support IT Governance & Compliance.
- Fine-Tune Monitoring & Alerting Systems.
- Build an enterprise-wide Reliability Program.
- Find potential outages before they happen.
- Recreate past incidents and outages for analysis.
- Enhance system resiliency on AWS.
- Implement Shift-Left Reliability Testing.
- Validate Runbooks & Disaster Recovery Plans.
- Improve AI system reliability.
- De-Risk Cloud Migrations.
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