Building Resilience from Architecture to Production with AWS & Gremlin
In this partner webinar with AWS, find out how Gremlin and AWS work together to help you build resilience and reliability into your cloud architecture from initial planning, through your SDLC, and into production.
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Unreliable software can have a painful impact on your customers and your business—something we’ve all seen and felt during high-profile outages. And while building on the cloud with AWS unlocks improved scaling and reliability capabilities, the complexity of modern distributed systems can potentially introduce outage-causing reliability risks. How can you be sure your systems are resilient to failure when they’re based on complex architecture, built by hundreds of teams, and are being updated almost constantly?
In this webinar, you’ll learn how to navigate the complex and ephemeral nature of cloud-based systems to build more reliable, resilient, and available software on AWS. No matter what language or architecture you’re using, these best practice tips will help you build resilience into your systems—and verify that resilience with automated, regular testing.
Includes a demo of how to quickly and easily integrate Gremlin and AWS so you can run your first test in minutes!
You’ll learn:
- Common reliability pitfalls when building on AWS
- How to design resiliency and reliability into your AWS architecture
- How to test resilience throughout your SDLC to uncover issues before they cause outages.
Dylan Souvage
Dylan is a Partner Solutions Architect at Amazon Web Services (AWS) based in Austin, TX. Dylan has spent his career working with ISV and startup customers to understand their business needs and enable them in their cloud journey. In his spare time, he enjoys going out in nature, going on long road trips, and traveling to warm, sunny places.
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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