Today’s distributed, cloud-based environments are incredibly complex. Not only does each component depend on many others, but modern systems are also highly dynamic—changing frequently as teams push new code or make updates to infrastructure. Taming this complexity to ensure reliability requires end-to-end observability to understand how components depend on each other. Additionally, proactive Chaos Engineering combined with AI-driven observability lets you uncover “unknown unknowns” that impact how your system will respond to different failure scenarios.

In this demo, we'll share how you can use ALFI (Application Level Failure Injection) to make AWS RDS unavailable. This enables you to learn how your application handles different failure modes. We'll be using the ALFI Latency attack to perform this Chaos Engineering experiment.

In this presentation, Tammy shares important failure modes to consider when responsible for the reliability of Kubernetes in your organization.

Reliability is a requirement for the modern internet. Ana Medina joins Inés Sombra, Sr. Director of Engineering at Fastly, to discuss their approach to resilience, how the past year has influenced the way they work, and what practices your engineering organization can adopt to become more reliable.

Observability and monitoring are critical to detecting and troubleshooting problems to build more reliable applications. As our systems become increasingly complex, our tools for getting this crucial visibility and the way we respond need to evolve too. We'll sit down with SRE leaders to discuss the processes they use to get the most insight into their applications, how they've increase the speed of detection and response, and what organizations need to do to stay on top of growing complexity.