Watch as we review what we learned at #KubeCon Europe Virtual in our daily live panel with industry experts and influencers.

Your Kubernetes app is down. Your users start ranting on Twitter. Your boss is standing right behind you. What do you do? This talk walks you through a live debugging session without panicking: We are using the Elastic Stack in this demo with a special focus on its Kubernetes integration with metadata enrichment and autodiscovery in combination with APM / tracing, metrics, logs, and health checks.

So, you want to update the software for your user, be it the nodes in your K8s cluster, a browser on user’s desktop, an app in user’s smartphone or even a user’s car. What can possibly go wrong? In this talk, we’ll analyze real-world software update fails and how multiple DevOps patterns, that fit a variety of scenarios, could have saved the developers. Manually making sure that everything works before sending an update and expecting the user to do acceptance tests before they update is most definitely not on the list of such patterns.

Google Cloud offers many tools that can help you manage your application services. In this video, we teach you how to set up and utilize Cloud Trace, Cloud Profiler, and Cloud Debugger to collect latency data across different services, memory-allocation information, and inspect application code locations without compromising the performance of your web application.

By design Kubernetes applications generate a high volume of log data across what could be hundreds of nodes. Centralized logging becomes critical for production applications, as it is otherwise near-impossible to quickly find the correct log file, and logs can be lost when pods crash.

Stackery CTO Chase Douglas talks about how serverless enables teams to focus on the customer application not server farms, data centers, and networking. Skipping the whole step with AWS means you can focus on your application.