Pixie: Instant Kubernetes Visibility with eBPF

Описание: Pixie lets you observe live traffic, system behavior, and app hotspots without touching the code, so teams can investigate issues the moment they appear.
In this episode, Whitney Lee and Michelle Nguyen from the Pixie project discuss how it works. They walk through eBPF-powered collection, protocol tracing for HTTP and databases, application CPU profiling, and a distributed query engine that feels unified in the UI. You’ll see why data stays in-cluster by default, how OpenTelemetry export fits when persistence is needed, and what end-to-end encrypted queries look like in practice.

Prefer the full ⚡ Enlightning episode?
Instant Observability: Exploring the Magic of Pixie → https://www.youtube.com/live/WuqM7WCYj8o
Watch all ⚡ Enlightning episodes →    • ⚡️ Enlightning  
Watch all 🌩️ Thunder episodes → https://www.youtube.com/playlist?list...
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٩( ᐛ )و Subscribe to Whitney’s YouTube channel →    / @wiggitywhitney  
#Pixie #eBPF #Kubernetes #Observability #CNCF

▬▬▬▬▬▬ ⚡️ Related Links ⚡️ ▬▬▬▬▬▬
🔗 Pixie → https://px.dev/
🔗 eBPF → https://ebpf.io/
🔗 CNCF Slack → https://slack.cncf.io/

0:00 - The Problem with Microservice Observability
0:54 - Before Pixie: Why is this so hard?
2:03 - What is Pixie? Observability without Instrumentation
2:32 - What "Lots of Information" Really Means
5:21 - The User Experience: Getting Started
6:27 - How Does Pixie Work? (eBPF Magic)
7:05 - Where Does All The Data Go?
8:35 - Data Plane vs. Control Plane
13:04 - Getting Started with Pixie