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eBPF Probes Cheat Sheet: Cloud-Native Debugging [2026]

eBPF Probes Cheat Sheet: Cloud-Native Debugging [2026]
Dillip Chowdary
Dillip Chowdary
Tech Entrepreneur & Innovator · April 20, 2026 · 8 min read

Bottom Line

eBPF has evolved into the definitive standard for cloud-native observability, allowing developers to instrument the entire Linux kernel and user-space applications without restarting a single process.

Key Takeaways

  • kprobes offer dynamic instrumentation for any kernel function but can be unstable across different kernel versions.
  • tracepoints provide a stable, static interface for kernel events and are the preferred choice for long-term production monitoring.
  • uprobes allow for deep-dive debugging of user-space applications, including tracing function calls in Go, Rust, and C++ binaries.
  • Using bpftrace one-liners is the fastest way to diagnose high-latency syscalls in a live Kubernetes environment.

As cloud-native architectures grow in complexity, traditional logging and tracing often fall short due to excessive overhead and limited visibility into the kernel-user space boundary. eBPF (Extended Berkeley Packet Filter) has emerged as the industry-standard solution for 2026, providing a programmable way to hook into nearly any event in the Linux kernel. This cheat sheet serves as a definitive reference for the essential probes required to debug, profile, and secure modern distributed systems.

The Reference Matrix

Choosing the right probe depends on your stability requirements and whether you are targeting the kernel or an application. Use this comparison to decide which mechanism fits your current debugging session.

Feature kprobes tracepoints uprobes Edge
Target Kernel (Dynamic) Kernel (Static) User-space Tracepoints (Stability)
Performance Ultra-High High Medium-High kprobes (Speed)
Overhead < 100ns < 150ns ~ 1-2μs kprobes (Lowest)
Stability Low (Breaks) High (API) Medium Tracepoints (Win)

Bottom Line

Always prioritize tracepoints for production monitoring due to their stability. Reserve kprobes and uprobes for ad-hoc debugging where deeper, non-standard visibility is required into specific internal logic.

Kernel Probes (kprobes)

kprobes allow you to dynamically break into any kernel routine. They are invaluable for tracing internal kernel states that are not exposed via standard APIs or tracepoints.

  • kprobe: Instruments the entry point of a function. Use this to inspect arguments.
  • kretprobe: Instruments the return point of a function. Use this to inspect return values and latency.
# Trace every time a file is opened in the kernel
bpftrace -e 'kprobe:do_sys_open { printf("%s opened a file\n", comm); }'
Watch out: kprobes rely on kernel symbols. If you upgrade your kernel from v6.1 to v6.8+, your probe scripts may break if the internal function names change.

User-space Probes (uprobes)

uprobes bring eBPF power to your applications. They allow you to trace function calls inside your own binaries (Go, Rust, C++) or shared libraries (libc, openssl) without modifying the source code.

# Trace SSL/TLS handshake latency in OpenSSL
bpftrace -e 'uprobe:/lib/x86_64-linux-gnu/libssl.so.3:SSL_read { @start[tid] = nsecs; } 
            uretprobe:/lib/x86_64-linux-gnu/libssl.so.3:SSL_read /@start[tid]/ { 
              @latency = avg(nsecs - @start[tid]); delete(@start[tid]); 
            }'

Static Tracepoints

Unlike kprobes, tracepoints are explicitly placed in the kernel source code by maintainers. They represent a stable contract and are less likely to change between kernel releases.

  • Find available tracepoints: bpftrace -l "tracepoint:*"
  • Highly recommended for: syscalls, scheduler events, and network stack monitoring.
# Summarize disk I/O size by process
bpftrace -e 'tracepoint:block:block_rq_issue { @[comm] = sum(args->bytes); }'

One-Liner Cheat Sheet

These bpftrace commands are essential for your SRE toolkit when troubleshooting production incidents in 2026.

Purpose Command
Block I/O Latency bpftrace biosnoop.bt
New Processes bpftrace -e 'tracepoint:syscalls:sys_enter_execve { printf("%s\n", comm); }'
TCP Retransmits bpftrace -e 'kprobe:tcp_retransmit_skb { printf("retransmit!\n"); }'

Advanced Configuration & 2026 Limits

When deploying eBPF in massive Kubernetes clusters, configuration is key to avoiding "BPF fatigue." Ensure your environment meets these 2026 standards:

  • BTF (BPF Type Format): Ensure CONFIG_DEBUG_INFO_BTF=y is set in your kernel to avoid needing heavy kernel headers.
  • Resource Limits: Use cgroups v2 to limit the memory usage of your eBPF maps to prevent OOM kills on your monitoring agent.
  • Privacy: When extracting stack traces that might contain sensitive environment variables or user data, remember to run outputs through our Data Masking Tool to maintain compliance before sharing debug logs across teams.
Pro tip: Use libbpf-bootstrap for creating production-grade eBPF tools that are CO-RE (Compile Once – Run Everywhere) compatible.

Frequently Asked Questions

What is the performance overhead of eBPF probes? +
For kernel probes (kprobes and tracepoints), the overhead is typically less than 150 nanoseconds per event. User-space probes (uprobes) are slower, averaging 1-2 microseconds due to the context switch between user and kernel space.
Should I use kprobes or tracepoints for production? +
Always prefer tracepoints for production. They are stable APIs that won't break when you update your Linux kernel. Use kprobes only for temporary, deep-dive debugging when a tracepoint doesn't exist for the logic you need to inspect.
How do I trace encrypted (TLS) traffic with eBPF? +
You can use uprobes to hook into SSL libraries like OpenSSL or BoringSSL. By placing probes on functions like SSL_read and SSL_write, you can capture plaintext data before it is encrypted or after it is decrypted.
Does eBPF require a reboot to instrument the kernel? +
No. One of the primary advantages of eBPF is that it allows for dynamic instrumentation. You can load, run, and unload eBPF programs on a live system without any downtime or reboots.

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