A curated list of awesome projects, tutorials, and resources related to eBPF (extended Berkeley Packet Filter).
Awesome eBPF is a curated list of resources, tools, and projects related to eBPF (extended Berkeley Packet Filter). It helps developers and operators navigate the eBPF ecosystem by aggregating documentation, tutorials, libraries, and real-world applications. The list covers everything from introductory materials to advanced use cases in networking, security, and observability.
System engineers, kernel developers, SREs, and DevOps practitioners who want to learn about eBPF or find tools and libraries for building eBPF-based solutions. It's particularly useful for those working on cloud-native networking, security monitoring, or performance analysis.
It saves time by providing a vetted, centralized directory of eBPF resources maintained by the community, reducing the need to search across scattered sources. The list is frequently updated to reflect the rapidly evolving eBPF landscape.
A curated list of awesome projects related to eBPF.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
It consolidates a vast array of eBPF materials, from kernel documentation and tutorials to major projects like Cilium and Katran, saving users from scattered searches across the web.
Maintained by contributors who actively solicit feedback and updates, as noted in the README's call for help, ensuring the list evolves with the fast-paced eBPF ecosystem.
Organizes resources into clear sections like tutorials, tools, and project directories, making it easier for users to find targeted information for networking, security, or observability use cases.
Prioritizes open-source tools and community projects, such as bcc, libbpf, and Aya, without bias towards specific commercial vendors, fostering an unbiased starting point.
As a manually updated list, it may lag behind the latest eBPF developments or miss emerging tools, which is acknowledged in the README's note about constant evolution and need for contributions.
The sheer volume of links—spanning hundreds of articles, projects, and tutorials—can be daunting for newcomers without guided, step-by-step learning paths, potentially leading to analysis paralysis.
It solely lists resources without providing interactive coding environments, live examples, or direct support, so users must rely on external tools and communities for practical application.