What Is eBPF?

eBPF is a revolutionary technology built into the Linux kernel that allows custom programs to run in a sandboxed environment within the kernel. These programs can observe and modify system behavior at the kernel level, enabling deep observability, high-performance networking, and runtime security without requiring changes to application code or kernel modules. eBPF has become a foundational technology for cloud-native observability and security.

Why eBPF Matters

Traditional observability requires instrumenting application code with SDKs and libraries. eBPF enables observability at the kernel level, capturing network traffic, system calls, and application behavior without any code changes. This provides visibility into applications that cannot be instrumented, including third-party services, legacy applications, and encrypted traffic. It also eliminates the performance overhead of user-space monitoring agents.

Teams that understand and adopt ebpf gain a significant operational advantage, reducing manual effort and improving the reliability and scalability of their infrastructure. As cloud-native adoption accelerates, familiarity with ebpf has become a core competency for DevOps engineers, platform teams, and site reliability engineers working in production Kubernetes and cloud environments.

How eBPF Works

eBPF programs are written and compiled into bytecode that is verified for safety by the kernel before execution. Once loaded, these programs attach to kernel hooks like system calls, network events, or function entries. They collect data, modify packets, or enforce policies with minimal overhead. Tools like Cilium use eBPF for Kubernetes networking and security, while Pixie and Hubble use it for deep application observability without instrumentation.

Understanding how ebpf fits into the broader cloud-native ecosystem is important for making informed architecture decisions. It works alongside other tools and practices in the DevOps and platform engineering space, and choosing the right combination depends on your team's specific requirements, scale, and operational maturity.

Key Features

Zero Instrumentation

Observe application behavior, network traffic, and system calls without modifying application code or deploying agents.

Kernel-Level Performance

eBPF programs run in kernel space with minimal overhead, providing monitoring that does not impact application performance.

Dynamic Attachment

Programs can be loaded and unloaded at runtime without restarting applications or the kernel.

Safety Guarantees

The eBPF verifier ensures programs cannot crash the kernel or access unauthorized memory.

Common Use Cases

Using Cilium to implement Kubernetes networking and network policies with eBPF instead of iptables for better performance.

Deploying Pixie to get instant application-level observability including HTTP, gRPC, and database metrics without code changes.

Monitoring network flows between Kubernetes pods using Hubble for real-time traffic visibility and troubleshooting.

Implementing runtime security monitoring that detects suspicious system calls and process behavior at the kernel level.

How Obsium Helps

Obsium's managed observability team helps organizations implement and optimize ebpf as part of production-grade infrastructure. Whether you are adopting ebpf for the first time or looking to improve an existing implementation, our engineers bring hands-on experience across cloud platforms and Kubernetes environments. Learn more about our managed observability services →