Scale Chaos Engineering with Automation and AI
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Chaos Engineering and Fault Injection testing have been proven to prevent outages, increase availability, and help companies avoid costly downtime.
But without the right processes or tools, they require specialized knowledge, a deep understanding of systems, and manual effort for every test.
To fully realize the benefits of Chaos Engineering, testing needs to be adopted across all engineering teams without causing a lift or investment that takes away from roadmap progress.
The secret? Using automation, standardization, and AI to scale Chaos Engineering.
In this webinar, Philip Gebhardt, Principal Software Engineer at Gremlin, shows you how Gremlin helps you scale Chaos Engineering, the process of running a test to find a resolution, and how we use our own platform to have 5 9s availability.
You’ll learn how to:
- Standardize and automate tests for quicker onboarding
- Make it easier and faster to resolve issues with Reliability Intelligence
- Build a reliability process based on Gremlin’s best practices
Philip Gebhardt
Gavin Cahill
Gavin Cahill is a writer and content creator specializing in cloud-native development. At companies like New Relic, Docker, Redis, and Apptio, he’s written articles, videos, and books covering observability, containerized development, real-time data, FinOps, and more. His passion is helping people make sense of the complex world of modern software development.
Avoid downtime. Use Gremlin to turn failure into resilience.
Gremlin empowers you to proactively root out failure before it causes downtime. See how you can harness chaos to build resilient systems by requesting a demo of Gremlin.
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