About Event

Up to this point we have been concentrating on Day 1 operations where applications are packaged, declared and started. Day 2 operations are also important. Once your applications are running you ask the questions about how well they are performing. Are your applications scaling correctly, both up and down? When something goes wrong, how well does the system rebalance itself back to its declared state? We’ll dive into the 3 pillars of observability of logging, tracing and metrics. We’ll explore the 3rd party observability solutions that open alerting rules and dashboards. Lastly, we’ll explore chaos engineering to observe Kubernetes resilience.

About Series

This course is part of the larger 3 part series with a total of 9 weeks of Kubernetes topics. These online trainings get you started then productive with the best and de facto operating system for distributed cloud computing.

Distributed application architectures are hard. The complexity in building containers and designing microservices to work together across a network can be overwhelming. To successfully manage limitations on resources, failing networks, defective software, and fluctuating traffic, you need an orchestrator.

Kubernetes is designed to handle these complexities, so you don’t have to. Essentially a distributed operating system for your data center, you give Kubernetes containers, and it makes sure that they remain available and responsive. As such, Kubernetes is quickly becoming the preferred way to serve distributed, scalable, and resilient applications.

Jonathan Johnson walks you through Kubernetes building blocks to demonstrate how the tool actually works. You may already understand containers—the tricky part is getting a whole set of containers and services to consistently work together and run reliably. In this three-part series, you’ll get comfortable designing, deploying, managing, and updating a coordinated set of applications running on Kubernetes.