Runbooks and disaster recovery plans are essential for timely incident resolution, but testing them is critical, especially when new cloud infrastructure is involved. Use Gremlin's Chaos Engineering and reliability testing tools to simulate a variety of fault scenarios and validate the effectiveness of your runbooks. This ensures that they’re actionable, up-to-date, and will reduce the time to resolution (TTR) during real incidents.\ \ This validation process not only builds confidence in your incident response strategy and improves key availability metrics, but also empowers your team to make data-driven updates to their runbooks and disaster recovery plans, keeping them aligned with your evolving system architecture and business needs.

"Do you want to find out about [problems] when you're looking for them during business hours...or do you want to find out about them at 3:00am and you're in this half-asleep haze trying to troubleshoot an issue?"

-Matthew Simons

Director of Engineering, Workiva

Recreating the conditions that led to past incidents and outages is key for ensuring operational resilience to those conditions moving forward. Gremlin allows you to evaluate system reliability by safely injecting failures into services, hosts, containers, and serverless workloads and seeing how systems respond.

With a comprehensive library of common failure conditions at your disposal, you can simulate and evaluate the real-world impact of varying stressors. Experimentation can start small–a single host or a fraction of your traffic—and expand as your confidence in your systems improves. Importantly, Gremlin offers fail-safes that automatically stop and roll-back experiments based on real-time system health, ensuring that if systems do fail, they aren’t down for a moment longer than necessary.

Observability and alerts are critical to incident response, but both the scope and precision need to be dialed in. Gremlin helps ensure you have a monitoring setup that you can trust when it matters most.

Gremlin helps teams validate the completeness and accuracy of your monitoring setup by making sure it captures not just the metrics that are easy to measure, but also those that are crucial for understanding system performance and reliability. Gremlin's fault injection tools allow you to simulate a wide range of fault scenarios, helping you ensure comprehensive and accurate monitoring coverage and fine-tune your SLIs and SLOs.

Additionally, by testing how these simulated faults trigger your monitors, you gain assurance that your system will properly alert you to issues and spot blindspots before they impact users.

Gremlin’s cloud-native platform helps teams improve reliability by identifying risks before they impact users. It is designed for maximum adaptability, able to operate efficiently across multi-cloud, hybrid, or on-premises architectures.

Gremlin supports all public cloud environments, including AWS, Azure, and GCP. It runs on Linux, Windows, Kubernetes and other containerized environments, AWS Lambda and other serverless platforms, and, yes, bare metal, too. It integrates with the CI/CD, observability, and performance testing tools you already use so you can incorporate it with your current tooling and workflows.