Michael Friedrich
Michael Friedrich is a Senior Developer Evangelist at GitLab, focussing on Observability, SRE, and Ops. He loves to help educate everyone and regularly speaks at events and meetups. Michael co-founded the #EveryoneCanContribute cafe meetup group to learn cloud-native & DevOps. Michael is a Polynaut advisor at Polywork, created o11y.love as a learning platform for Observability, and shares insights in the opsindev.news newsletter.
Sessions
Collecting Observability data with eBPF aims to help Dev, Ops, and SREs to debug and troubleshoot incidents. 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?
Simulating a production incident is challenging. Chaos engineering enables teams to break things in a controlled environment and verify alerts, SLOs, and data accuracy. Which data retention cycle is best, and which dashboards reduce the mean-time-to-response? Anomaly detection and forecasting would be great too.
This talk dives into the learning steps with eBPF and discusses traditional metrics monitoring and future Observability data collection, storage and visualization. Learn from hands-on examples with chaos experiments that attempt to break eBPF probes, data collection, and policies in unexpected ways … and bring new perspectives into cloud-native reliability.