5 essential resilience tests for a successful cloud migration
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Migrating to the cloud usually means faster deployments and easier scalability, but it also means latency. Cloud applications communicate over distributed networks, and while these networks are fast, little bits of latency can quickly add up.
In this webinar, we’ll talk about the latency problem inherent to cloud computing and how it can impact your applications. We’ll discuss the network-centric design of cloud platforms, how to build applications to best use this design, and how to ensure your services are resilient and fault-tolerant.
We'll cover:
- Why you should account for latency when migrating applications to the cloud
- The difference between monolithic and microservice design in cloud environments
- Using Gremlin to simulate cloud latency and test your applications in your current environment
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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