BCC – Dynamic Tracing Tools for Linux Performance Monitoring, Networking and More

BCC (BPF Compiler Collection) is a powerful set of dynamic tracing tools built on top of eBPF (extended Berkeley Packet Filter) technology in the Linux kernel. BCC provides a simple yet effective way to monitor system performance, analyze networking behavior, and trace various system events without requiring kernel modifications or recompilation.

What are BCC Tools?

BCC tools are designed to provide a user-friendly interface for using eBPF to trace and analyze system events. eBPF is a virtual machine that runs inside the kernel, allowing for efficient and flexible tracing of system activities. BCC tools are written in Python and C, making them accessible for a wide range of monitoring tasks including system performance analysis, network diagnostics, and security monitoring.

BCC Tools Architecture User Space Applications (Python/C) execsnoop opensnoop tcptracer eBPF Virtual Machine (Kernel Space) Linux Kernel

Benefits of BCC Tools

Benefit Description
Low Overhead Minimal impact on system performance using in-kernel eBPF execution
High Flexibility Wide range of use cases from performance monitoring to security analysis
User-Friendly Simple interface requiring no specialized kernel programming knowledge
Active Community Continuously developed with regular updates and bug fixes

Common BCC Tools

Installation

Before using BCC tools, install them using your distribution's package manager

# Ubuntu/Debian
sudo apt-get install bpfcc-tools

# CentOS/RHEL
sudo yum install bcc-tools

# For BPFtrace
sudo apt-get install bpftrace

Essential BCC Tools

execsnoop Traces new process execution on the system

sudo execsnoop
PCOMM            PID    PPID   RET ARGS
bash             2341   2340     0 /usr/bin/ls -la
grep             2342   2341     0 /usr/bin/grep myfile

opensnoop Traces file system open operations

sudo opensnoop

tcptracer Traces TCP connections and their associated ports

sudo tcptracer

BPFtrace Examples

BPFtrace provides a high-level tracing language for writing custom eBPF programs. Here's a simple example that traces process starts

tracepoint:syscalls:sys_enter_execve
{
    printf("Process %s started by PID %d<br>", str(args->filename), pid);
}

Save this as process_trace.bt and run

sudo bpftrace process_trace.bt

Custom BCC Scripts

CPU Scheduler Monitoring

#!/usr/bin/env python3
from bcc import BPF

# BPF program to trace scheduler switches
bpf_text = """
#include <uapi/linux/ptrace.h>

int trace_sched_switch(struct pt_regs *ctx) {
    u64 ts = bpf_ktime_get_ns();
    u32 pid = bpf_get_current_pid_tgid() >> 32;
    bpf_trace_printk("Scheduler switch: PID %d at %llu\<br>", pid, ts);
    return 0;
}
"""

# Load BPF program
b = BPF(text=bpf_text)

# Attach to scheduler tracepoint
b.attach_tracepoint(tp="sched:sched_switch", fn_name="trace_sched_switch")

print("Tracing scheduler switches... Press Ctrl-C to stop")
try:
    b.trace_print()
except KeyboardInterrupt:
    print("Stopping trace")

Network Connection Tracking

#!/usr/bin/env python3
from bcc import BPF

bpf_text = """
#include <uapi/linux/ptrace.h>
#include <net/sock.h>

int trace_tcp_connect(struct pt_regs *ctx, struct sock *sk) {
    u32 pid = bpf_get_current_pid_tgid() >> 32;
    u16 dport = sk->__sk_common.skc_dport;
    bpf_trace_printk("TCP connect by PID %d to port %d\<br>", pid, ntohs(dport));
    return 0;
}
"""

b = BPF(text=bpf_text)
b.attach_kprobe(event="tcp_v4_connect", fn_name="trace_tcp_connect")

print("Tracing TCP connections... Press Ctrl-C to stop")
try:
    b.trace_print()
except KeyboardInterrupt:
    print("Connection tracing stopped")

Additional BCC Tools

  • biosnoop Traces block I/O operations at the device level

  • funccount Counts function calls in the kernel or user programs

  • syncsnoop Traces sync system calls for filesystem analysis

  • tcpconnect Shows active TCP connections with detailed information

  • pidstat Provides per-process statistics using eBPF

Integration with Monitoring Systems

BCC tools can be integrated with monitoring platforms like Prometheus, Grafana, and Nagios to provide comprehensive system visibility. Custom BCC scripts can export metrics to these systems for long-term storage and alerting.

Conclusion

BCC tools provide powerful dynamic tracing capabilities for Linux systems with minimal overhead and maximum flexibility. They enable deep system insights through eBPF technology, making them essential for system administrators, developers, and security analysts. Whether monitoring performance, debugging network issues, or analyzing system behavior, BCC tools offer unparalleled visibility into Linux system operations.

Updated on: 2026-03-17T09:01:38+05:30

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