AWS Chaos journey - Lets fail fast, forward & often.

Imagine a world where your Amazon EKS applications are so resilient, they can withstand even the most unexpected failures. Fuel your EKS apps with AWS Chaos! Unleash AWS Fault Injection Simulator. Ignite chaos engineering for ultimate resilience and performance! Lets Fail Fast, forward & often.

Prepare for a thrilling exploration of chaos engineering on Amazon EKS, empowered by AWS Fault Injection Simulator. Buckle up as I guide you through the art of orchestrating controlled chaos to scrutinize and boost your system’s resilience.

Gain invaluable insights on optimizing your Amazon EKS applications for the unexpected challenges of the cloud. In this interactive talk, I’ll cover:

1. What is chaos engineering and why is it so important for Amazon EKS applications
2. How to design and run chaos experiments using FIS
3. Chaos engineering Principles & Best practices for using FIS in production environments.
4. Practical tips for improving the resilience and performance of your Amazon EKS applications.
5. Demo of AWS FIS chaos scenarios performed on Application deployed on AWS EKS.
6. I’ll also share real-world customer stories and case studies, showcasing how chaos engineering has helped them build more resilient and scalable systems.

By the end of this talk, you’ll have a solid understanding of chaos engineering and how to use AWS Fault Injection Simulator to transform your Amazon EKS applications into unbreakable bastions of resilience.

Technical Requirements: Basic familiarity with Amazon EKS.

Speaker Expertise: I am a Multi-Cloud Certified architect with extensive hands-on experience in the AWS ecosystem. I have a deep passion for Cloud technology, Operational excellence, chaos engineering and using it to help customers build more resilient and scalable systems. Loves to talk about Cloud Technology, DevOps, Digital Transformation, Analytics, Infrastructure, DevOps Practice & Tools, Cloud Migrations, Cost Optimization, Cloud Networking & Security.

Key Takeaways: Expect practical chaos experiments, supercharged system resilience, optimized application performance, and the mantra of failing fast to learn.