Bpftrace is an essential tool for developers investigating the workings and performance of applications on Linux systems; Pixie is an eBPF-based observability platform for real-time troubleshooting of applications on Kubernetes. What if you could bring these two open-source projects together and combine the power of bpftrace with Pixie's approach to monitoring Kubernetes? This session presents Pixie's bpftrace integration and how it enables dynamic monitoring of Kubernetes clusters. This talk will show how Pixie can deploy a bpftrace program across all the nodes of your cluster, and make the collected data available for querying and visualization. Topics include (1) an overview of how the Pixie bpftrace integration works, (2) how to import existing bpftrace scripts (or write new ones) into Pixie, and (3) how to use the Pixie's query language to perform real-time debugging of Kubernetes applications. The talk will include a number of live demonstrations, including how bpftrace + Pixie can identify TCP issues, and even how to discover patterns of unauthorized bitcoin mining in your K8s cluster.
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