Pixie is an open-source observability tool for Kubernetes applications. Pixie uses eBPF to automatically capture telemetry data without manual instrumentation.
Users can swiftly access metrics, events, traces, and logs without code modification through dynamic eBPF probes and ingestors. The system enables easy integration without requiring changes to the existing codebase, allowing users to delve into essential data quickly.
Additionally, users can implement logging exclusively for custom data, streamlining the process of obtaining relevant insights. The emphasis is on providing a seamless and efficient experience for users to retrieve and analyze essential information from their applications.
Users can also execute community, team, or personalized scripts for code-based debugging. They can seamlessly share and publish their debugging sessions as code, fostering collaboration within their team and the broader Pixienaut community. This feature promotes a collaborative approach to debugging by allowing users to run scripts, share insights, and contribute to a collective knowledge base.
Pixie operates entirely within users’ Kubernetes clusters, prioritizing data security by avoiding any external storage of customer data. This approach ensures a high level of visibility without compromising on depth, eliminating the need to deal with the challenges and costs associated with transporting large volumes of telemetry data off-cluster. Users can confidently leverage Pixie for comprehensive insights without the hassle of managing data logistics externally, the project maintainers explained.
Additional details on the project are available here.