Observability with eBPF aims to help DevSecOps and SRE teams to debug and troubleshoot incidents. New event data requires storage, visualization, and verification: Do the Service Level Objectives (SLOs) match, dashboards visualize useful data correlation, network service maps make sense, and what about security policies?

Learning eBPF is hard, and needs a good approach to reduce complexity. What is the architecture, which benefits and risks are added to production environments? eBPF use cases are observability, security, and debugging production incidents. Chaos engineering helps break production to verify use cases - and can benefit from eBPF too.

This talk dives into the learning steps with eBPF and discusses Observability data collection, storage and visualization. Debug production with hands-on tools, and add chaos experiments that attempt to break eBPF probes, data collection and policies in unexpected ways - and bring new perspectives into cloud-native reliability.