Navigating the Reliability Minefield
Finding and Fixing Your Hidden Reliability Risks
Reliability risks lurk everywhere in complex cloud architectures, especially when they’re scaled to an enterprise level. But how do you know where all of those risks are? How can you distinguish between minor incident risks with little impact and probability versus risks that are likely to become catastrophic outages? And more importantly, how do you drive conversations with the broader engineering organization about which risks need mitigation now?
Designed by reliability and chaos engineering experts, Gremlin’s Reliability Tracker gives you a working reliability map of the services and most likely failure scenarios in your organization.
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About this webinar
By combining this spreadsheet and methodology with reliability testing, you’ll be able to test your systems, find reliability risks, and know what will happen if they fail—then prioritize your engineering efforts to stop disruptive outages before they happen.
In this webinar, Sam Rossoff, Principal Engineer and one of the creators of Gremlin’s Reliability Tracker, will use it to walk you through performing a Reliability Risk Assessment, and show you how to:
Agenda
- Test your systems
- Find reliability risks
- Know what will happen if they fail
- Prioritize your engineering efforts to stop disruptive outages before they happen
Sam Rossoff
Sam is currently a Principal Engineer at Gremlin, designing and implementing core components of the Gremlin platform. His work enables Gremlin customers to improve the reliability of their applications and infrastructure. Before his time at Gremlin, he held engineering roles at Snapchat, Amazon, Nokia Research and Activision.
Andre Newman
At Gremlin, Andre promotes the benefits of Chaos Engineering and reliability testing to engineering teams around the world, including at some of the largest enterprise organizations. Prior to Gremlin, he created technical content explaining Kubernetes and containerization, the shift to cloud computing, DevOps, observability, and more. His work has been featured in The New Stack, DZone, Software Engineering Daily, TechBeacon, and StatusCode Weekly.
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