Build Reliable Systems with Chaos Engineering - MLOps Podcast #237
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the world of Chaos Engineering in this 47-minute podcast episode featuring Benjamin Wilms, CEO & Co-Founder of Steadybit. Dive into the concept of building reliable systems under unpredictable conditions, understanding how Chaos Engineering can benefit both large corporations and smaller startups. Learn about the emerging trend of Data Chaos Engineering, its comparison to ML Resilience, and how it can be integrated into machine learning systems. Discover the importance of testing system vulnerabilities, addressing data distribution issues across time zones, and the value of expertise in fixing complex systems. Gain insights on implementing Chaos Engineering in pre-CI/CD steps, automating experiments for deployments, and the significance of strong integration with observability tools for repeatable experiments. This comprehensive discussion covers everything from the basics of Chaos Engineering to its practical applications in modern software development and MLOps practices.