Build Reliable Systems with Chaos Engineering // Benjamin Wilms // #237

May 31, 2024

Benjamin Wilms, a chaos and resilience engineering expert, discusses integrating Chaos Engineering into the CI/CD pipeline for system resilience. They explore the cultural shift needed to embrace failures as learning opportunities and the transition to structured chaos engineering experiments. The conversation also covers reflection on errors, AWS's Trainium, chaos engineering methods, and the intersection of chaos engineering and observability for reliable systems.

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Introduction

00:00 • 3min

Exploring Chaos Engineering for System Resilience Training

02:30 • 2min

Navigating Chaos: The Role of Chaos Engineering in Reliable Software Development

04:35 • 13min

Insights on Learning from Mistakes, AWS's Trainium, Chaos Engineering Methods

17:49 • 3min

Navigating Chaos Engineering Challenges

20:24 • 4min

The Intersection of Chaos Engineering and Observability

24:27 • 18min

Reliability and Market Impact

42:54 • 4min

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Benjamin Wilms is a developer and software architect at heart, with 20 years of experience. He fell in love with chaos engineering. Benjamin now spreads his enthusiasm and new knowledge as a speaker and author – especially in the field of chaos and resilience engineering. Retrieval Augmented Generation // MLOps podcast #237 with Benjamin Wilms, CEO & Co-Founder of Steadybit. Huge thank you to Amazon Web Services for sponsoring this episode. AWS - https://aws.amazon.com/ // Abstract How to build reliable systems under unpredictable conditions with Chaos Engineering. // Bio Benjamin has over 20 years of experience as a developer and software architect. He fell in love with chaos engineering 7 years ago and shares his knowledge as a speaker and author. In October 2019, he founded the startup Steadybit with two friends, focusing on developers and teams embracing chaos engineering. He relaxes by mountain biking when he's not knee-deep in complex and distributed code. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Website: https://steadybit.com/ --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Benjamin on LinkedIn: https://www.linkedin.com/in/benjamin-wilms/ Timestamps: [00:00] Benjamin's preferred coffee [00:28] Takeaways [02:10] Please like, share, leave a review, and subscribe to our MLOps channels! [02:53] Chaos Engineering tldr [06:13] Complex Systems for smaller Startups [07:21] Chaos Engineering benefits [10:39] Data Chaos Engineering trend [15:29] Chaos Engineering vs ML Resilience [17:57 - 17:58] AWS Trainium and AWS Infecentia Ad [19:00] Chaos engineering tests system vulnerabilities and solutions

[23:24] Data distribution issues across different time zones

[27:07] Expertise is essential in fixing systems

[31:01] Chaos engineering integrated into machine learning systems

[32:25] Pre-CI/CD steps and automating experiments for deployments

[36:53] Chaos engineering emphasizes tool over value

[38:58] Strong integration into observability tools for repeatable experiments

[45:30] Invaluable insights on chaos engineering

[46:42] Wrap up