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Explore the power of eBPF for deep Linux observability with BCC - a collection of powerful tools for IO analysis, networking diagnostics, system monitoring, and performance troubleshooting.
BCC (BPF Compiler Collection) is a toolkit for creating efficient kernel tracing and manipulation programs using BPF. It provides a framework for writing kernel probes in C and user-space programs in Python or Lua, enabling deep observability without modifying kernel source code.
Traditional Linux monitoring and tracing tools often have significant overhead or lack the depth required for diagnosing complex performance and networking issues. BCC leverages eBPF to provide low-overhead, high-resolution visibility into the kernel.
Includes a library of tools for tracing kernel and user events, providing detailed insights into system behavior.
Allows writing custom BPF programs using Python or Lua bindings, simplifying development.
Provides pre-built tools for network analysis, performance profiling, and storage diagnostics.
BCC's eBPF-based tools are invaluable for troubleshooting and performance analysis across various Linux system aspects:
Analyze file system operations, block device activity, and storage performance using tools like ` соответствующие инструменты BCC
Identify IO bottlenecks, understand disk usage patterns, and optimize storage configurations.
Trace network packet flow, analyze TCP connection states, and diagnose network latency or packet loss issues.
Gain deep visibility into network stack behavior without complex packet sniffing setups, accelerating network issue resolution.
Monitor CPU usage per process, analyze function call latency, and profile application performance at a granular level.
Pinpoint exact causes of CPU spikes, high memory usage, or application slowdowns in production environments.
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