🚧 This platform open-source and is in early development. We welcome feature requests and pull requests! 🚀
Hands-on Introduction to Pixie
In this episode, we take a look at observability within Kubernetes with Pixie.🍿 Rawkode LiveHosted by David McKay / 🐦 https://twitter.com/rawkodeWebsite: https://rawkode.liveDiscord Chat: https://rawkode.live/chat#RawkodeLive🕰 Timeline00:00 - Holding screen00:51 - Introductions02:50 - What is Pixie?04:15 - How eBPF Powers Pixie06:28 - CNCF Sandbox Project09:13 - Deploying Pixie17:18 - Running Scripts in the CLI & UI21:59 - Pixie Stores Data on the Cluster24:40 - Inspect a Script28:44 - Flamegraph (Continuous Profiling)32:27 - Protocols Traced by Pixie35:35 - Network Flow Graph Script39:56 - HTTP Data Script (Full Request & Response Body)40:50 - Editing a Script: Filter HTTP Requests for Errors49:08 - Using the Pixie API to Create Slack Alerts59:01 - Data Source Tables1:04:16 - Wrap Up👥 About the GuestsNatalie Serrino Natalie is a Principal Engineer and Tech Lead at New Relic. She works on the Pixie auto-telemetry observability platform, which was acquired and open sourced by New Relic. She focuses primarily on Pixie’s data layer, including its query language, compiler, and query execution engine.🐦 https://twitter.com/nserrino🧩 https://github.com/nserrino🔨 About the TechnologiesPixiePixie gives you instant visibility by giving access to metrics, events, traces and logs without changing code. Instantly troubleshoot your applications on Kubernetes. No instrumentation. Debug with scripts. All inside Kubernetes.🌏 https://pixielabs.ai/🐦 https://twitter.com/pixie_run🧩 https://github.com/pixie-labs/pixie#Observability #Monitoring #Logging #Kubernetes