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Study mode:
on
1
Intro
2
Realtime debugging of Kubernetes
3
Bpftrace
4
Community Support
5
Pixie Overview
6
Relic Architecture
7
Pixie Demo
8
Integration
9
Bpftrace vs Pixie
10
How do we do it
11
Example
12
Community Script
13
Aggregation Scripts
14
Aggregation Script Example
15
Demo
16
Conclusion
Description:
Explore dynamic monitoring of Kubernetes clusters through the integration of bpftrace and Pixie in this conference talk. Learn how to leverage these open-source tools for real-time troubleshooting and performance investigation of applications on Linux systems and Kubernetes. Discover the process of deploying bpftrace programs across cluster nodes, importing existing scripts, and utilizing Pixie's query language for debugging. Witness live demonstrations showcasing the identification of TCP issues and detection of unauthorized bitcoin mining in K8s clusters. Gain insights into Pixie's architecture, community support, and the advantages of combining bpftrace with Pixie's monitoring approach. Understand the differences between bpftrace and Pixie, explore aggregation scripts, and see practical examples of their implementation.

Bpftrace Meets Pixie - Dynamic Monitoring of Kubernetes Clusters

CNCF [Cloud Native Computing Foundation]
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