Pixie
An open-source observability tool for Kubernetes applications that automatically collects telemetry using eBPF and provides in-cluster edge compute.
What is Pixie?
Pixie is an open-source observability tool designed specifically for Kubernetes applications. It provides instant visibility into the high-level state of a cluster and allows deep drilling into detailed views like individual requests and performance profiles, all without requiring manual instrumentation. It uses eBPF to automatically collect telemetry data and processes it locally within the cluster.
Kubernetes developers and operators who need immediate, deep observability into their applications and infrastructure without manual instrumentation. It is particularly useful for teams managing microservices architectures in production environments.
Developers choose Pixie because it eliminates the need for manual instrumentation through auto-telemetry via eBPF, processes data in-cluster to minimize resource usage, and offers a flexible Pythonic query language (PxL) for custom analysis across UI, CLI, and APIs.
Overview
Instant Kubernetes-Native Application Observability
Use Cases
Best For
- Monitoring network traffic flows, DNS requests, and TCP drops/retransmits within a Kubernetes cluster.
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