Bpfman

Bpfman is an open-source project that provides a management plane and runtime for deploying, loading, and managing eBPF programs (kernel-level observability and control) in cloud-native and Kubernetes environments.

• Centralized lifecycle management of eBPF programs across hosts and clusters (observability / systems management).
• Kubernetes-native integration for deploying and orchestrating eBPF workloads using custom resources and controllers (cloud-native infrastructure).
• User-space daemon and agent model to load, pin, and track eBPF objects on target nodes (systems operations).
• Support for running multiple eBPF applications from different teams with isolation and policy control (multi-tenant infrastructure management).
• Extensible architecture for plugging in different types of eBPF programs and integrating with existing platforms and toolchains (extensibility / platform engineering).

More About Bpfman

Bpfman is designed to manage the full lifecycle of eBPF programs (kernel-level observability and control) in distributed and cloud-native environments, addressing operational challenges such as safe deployment, versioning, and coordination of multiple eBPF applications across many nodes. It focuses on providing a consistent management layer for eBPF workloads so platform and infrastructure teams can integrate eBPF into standard operational workflows without handling low-level kernel details on each host.

At its core, Bpfman introduces a management plane (infrastructure automation) that tracks desired state and actual state for eBPF programs. A central control component stores metadata about eBPF artifacts, desired attachments, and configuration, while node-level agents handle loading, attaching, and unloading programs in the kernel. This pattern allows operators to define what eBPF programs should run and where, while the system reconciles that state and monitors the runtime status.

For Kubernetes users, Bpfman exposes Kubernetes-native interfaces (cloud-native infrastructure), including custom resource definitions (CRDs) and controllers, so eBPF programs can be managed through standard Kubernetes APIs and tooling. Teams can declare eBPF workloads as Kubernetes resources, associate them with nodes or workloads, and rely on the controller loop to deploy, restart, or remove programs when nodes join or leave the cluster or when configurations change.

Bpfman supports multiple classes of eBPF programs (systems and networking), such as programs for networking, observability, and security use cases, depending on how they are built and attached. The system handles loading eBPF object files, pinning maps, and maintaining references so applications and tools can consume data exposed by eBPF without manually managing low-level kernel constructs. By centralizing this logic, Bpfman reduces the risk of conflicting program attachments and enables coexistence of programs from different teams or vendors.

In enterprise environments, Bpfman can integrate with existing Continuous Integration and Continuous Deployment (CI/CD) pipelines and artifact management (platform engineering) for eBPF programs, allowing teams to package, version, and roll out eBPF-based features in a controlled way. It can be used to standardize the deployment process for eBPF observability agents, network filters, or security sensors across heterogeneous clusters and fleets, helping operations teams maintain consistent configurations and auditability across environments.

Within a technology directory, Bpfman aligns with categories such as eBPF management platform, Kubernetes add-on (cloud-native infrastructure), observability and security enablement (operations tooling), and systems lifecycle management for kernel-level extensions. Its role is to bridge eBPF program development with operational management in production environments, providing a structured interface for multi-team and multi-tenant eBPF usage.