Kubernetes Reliability Risks
How to monitor for critical issues at scale
Nearly every organization has reliability risks in their Kubernetes clusters.
If you want to detect and remediate these risks before they impact customers, you need to actively monitor for them at scale.
Learn how to automatically find and fix the most critical Kubernetes reliability risks in enterprise organizations.
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About this webinar
Recent research shows that nearly every organization has reliability risks in their Kubernetes clusters. Many of them are caused by simple misconfiguration, but they can have devastating consequences—including taking critical services offline.
And while you could manually review every Kubernetes deployment, the speed and scale at which most organizations deploy to Kubernetes makes that impractical.
If you want to detect and remediate these risks before they impact customers, you need to actively monitor for them at scale.
Learn how to automatically find and fix the most critical Kubernetes reliability risks in enterprise organizations.
Agenda
- The ten most critical Kubernetes reliability risks to monitor
- Strategies to systematically resolve these issues before they cause an incident or outage
- How to use Gremlin’s Detected Risks feature to automatically scan for Kubernetes risks
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.
Dan Muret
At Gremlin, Dan works closely with organizations to understand, implement, and design Chaos Engineering and reliability testing practices. Prior to Gremlin, he’s worked as a system administrator and solutions architect for companies like IBM, Zerto, and Veeam/Kasten. Dan’s real-world experience in system architecture, cloud migrations, disaster recovery, and resilience testing help him guide companies to make the most out of their reliability and Chaos Engineering efforts.
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