eBPF: What It Is, Why It Matters, and Why Not All eBPF Is Created Equal eBPF has rapidly grown from a niche Linux feature to the fundamental technology for enterprises tackling modern infrastructure challenges. Yet, as more teams embark on their eBPF journey, we see common questions: What exactly is eBPF? How does it work? And how does one implementation differ from another? This post covers core questions for those learning about eBPF and how to better evaluate eBPF solutions from one another (in overhead, scope, security, and more). Interested in a one sheet for yourself or team? This eBPF overview breaks down what eBPF is, why leading enterprises rely on it, and how it delivers long-term value. What is eBPF? eBPF (extended Berkeley Packet Filter) is a technology that makes the Linux Kernel programmable in a secure and efficient way. In the 12+ years since its inception, eBPF has been called the biggest shift in infrastructure software in decades, even outranking the container revolution. Think of it as a way to run lightweight, custom "mini-programs" inside the core of the operating system (the kernel) without having to change the system's code or restart it. eBPF is a highly efficient, sandboxed virtual machine in the Linux Kernel. It makes the Linux Kernel programmable at native execution speed, so you can write code that operates in kernel space. These eBPF programs allow you to interact with the Linux kernel to observe and take action on any events happening on a machine. Some use eBPF to simply observe everything on their system, others use it to enforce policies (routing, security, and more). Given the name, you can likely already guess that there are origins in the humble tcpdump and packet filtering space. What started as a way to more efficiently handle and route packets, has evolved into a turing machine that is limited only by imagination. A common analogy is comparing the internet between HTML v Javascript. Before Javascript, you could publish simple Hello World-esque projects and static pages. With Javascript, the internet sprung to life with more dynamic and interactive projects. Before eBPF, extending the kernel required months or years of pushing new features upstream to the kernel. Now, teams can write and deploy eBPF programs in a matter of minutes. Who is using eBPF? You already are! eBPF rapidly became the de-facto cloud standard for Kubernetes networking and security, with widespread adoption across leading technology companies and hyperscale environments. For instance, in 2020, Google announced Isovalent’s eBPF Cilium networking solution as the new networking data plane for GKE. Not long after, in 2021, AWS picked Isovalent for Networking & Security on EKS Anywhere, and by 2022, Azure CNI became powered by Isovalent. This isn't just about cloud providers; eBPF has been deployed for core production networking, security, observability, and tracing for over a decade. A prime example is Meta, which since 2017, processes every packet into its data centers using eBPF! This impressive adoption is fueled by a collaborative open-source community, with significant contributions from various vendors and individual developers. The eBPF foundation is made up of global leaders Netflix, Meta, Google, Intel, Isovalent (now Cisco), and more are at the forefront creating eBPF projects and actively contributing to the broader eBPF ecosystem. This collective effort makes eBPF a priority area in Linux kernel development, signifying long-term strategic importance and cementing its role as a fundamental technology for distributed computing. There’s a laundry list of everyday use cases where eBPF is the supporting character, for example every android phone is using eBPF for network and performance monitoring. How does eBPF work under the hood? At its core, eBPF operates by allowing small, sandboxed programs to be loaded and executed directly inside the Linux Kernel. Instead of requiring changes to the kernel's source code or loading full kernel modules, eBPF provides a safe, efficient way to extend kernel functionality. When an event occurs – such as a network packet arriving, a system call being made, or a disk I/O operation – an eBPF program can be attached to that specific "hook" point. These programs then run in a highly optimized virtual machine environment, giving them direct access to kernel data structures and the ability to modify behavior or collect telemetry. The magic truly happens with the eBPF Verifier. Before any eBPF program is loaded into the kernel, it undergoes a rigorous verification process. This validates the program is safe, won't crash the kernel, doesn't contain infinite loops, and only accesses memory it's allowed to. This safety mechanism, combined with its in-kernel execution speed, makes eBPF incredibly powerful for observing and controlling system behavior without compromising stability. It's this unique combination of flexible programmability and guaranteed safety that makes eBPF a game-changer for modern infrastructure. source: ebpf.io/what-is-ebpf/ Are all eBPF solutions created equal? No, eBPF is not a checkbox. Just like JavaScript which can power a simple "Hello World" page or a complex application like Gmail, eBPF programs vary immensely in their complexity, scope, and efficiency. The core eBPF technology provides the foundation, but what you build with it makes all the difference. When considering eBPF-based solutions, it's crucial to look beyond the "eBPF" checkbox. You need to evaluate: Resource usage of how much CPU and memory does the program consume. Scope of information gathered to understand does it provide deep, rich context, or just basic event data. Ease of use on operators, how much effort is required to deploy, manage, and derive value from the solution. The difference between a basic eBPF add-on and a sophisticated, enterprise-grade eBPF platform can be vast, impacting everything from performance to security to operational overhead. While some legacy solutions tack-on an eBPF probe here and there, real performance benefits and modularity comes from fully designed eBPF platforms that lean into the benefits. How do eBPF architectures differ? A fully eBPF-native solution means that all core data-path processing, enforcement, and event handling occur within the kernel using eBPF programs, as opposed to hybrid approaches that offload significant logic to user space or rely on legacy kernel modules. Fully eBPF solutions leverage advanced kernel hookpoints for real-time packet processing, policy enforcement, and telemetry, minimizing context switches and maximizing efficiency. Hybrid solutions introduce unnecessary overhead by exporting large volumes of raw data to user space for filtering or rely on tying together solutions for policy enforcement, which increases latency and resource consumption. Policy expression and operational control varies by how you write and deploy a policy. You don’t need to be a kernel expert to use eBPF, but the best kernel experts create the most hardened policies and lowest overhead (memory, CPU) solutions. Less mature solutions will capture the intent of a policy control but miss on corner cases or memory overhead implications, limiting flexibility and increasing resource constraints. Finally, technical maturity is reflected in how this overhead is managed under load, how seamlessly updates are delivered, and how safely programs interact with kernel data structures. Enterprise-grade implementations optimize memory and CPU consumption, provide dynamic policy updates without downtime, and include extensive validation to prevent unsafe kernel access. Look for solutions that not only show fully eBPF implementations over hybrid eBPF augmentations, and demonstrate end-to-end integration, efficient policy translation, and proven scalability in production environments. Why is eBPF resource efficient? Every action takes some level of effort. Whether it’s walking two floors up to ask a colleague a question or sending them an instant message from your desktop, both incur different levels of effort. From a security monitoring perspective the same holds true that how we observe events and export events has an incredible effect on resource consumption. eBPF leverages in-kernel hash tables for fast, scalable service lookups, maintaining near O(log n) complexity as clusters grow. Unlike iptables, which slows down with more microservices, eBPF keeps latency low and performance stable. This efficient design enables eBPF to replace kube-proxy and iptables, delivering reliable scalability and minimal operational overhead. From a security perspective, traditional approaches keep the logic abstracted away from the point of collection. Often these tools gather large amounts of data (haystacks), move them to a SIEM or data lake, and then perform analysis on them to determine what is interesting or security-significant. Every event captured and exported incurs a cost in terms of memory and CPU. The security agent may capture thousands of events, not knowing which of them are interesting or security significant, instead just building the haystack for the SIEM / user space agent to filter through. This creates a heavy cost as the agent collects needless events (noise), creating memory and CPU overhead. The downstream effect can be lower production performance (bottlenecks), more noise in the SIEM, heavy data storage requirements, and more. With eBPF, we move the logic as close to the point of collection as possible. Instead of capturing an event and then deciding if something is interesting to us, eBPF programs can observe everything at low overhead and only extract out the specific events that are significant. This eliminates the need to copy large volumes of data for initial filtering or processing, drastically reducing CPU cycles and memory bandwidth consumption. When you click to open a file on your desktop, that is a call to the kernel describing the file requested, identity permission, file location, and more to retrieve back to you. eBPF offers multiple points along that event flow to observe or act (think block, enforce), without having to move the event out of the kernel to your SIEM (incurring a resource cost of moving and translating from kernel -> user space). In the file monitoring example, an eBPF program intercepts, evaluates, and drops the thousands of uninteresting file events in the kernel (so no event collected or transferred) while waiting for the policy to be met, making it near-zero overhead to monitor hundreds of thousands of events as no needless haystack of data is piped up. This in-kernel performance and high resource efficiency are key benefits, allowing for deeper observability and security without slowing down production systems. Is eBPF easy to use? Yes, because we stand on the shoulders of giants. No, if you want to build an eBPF project from scratch and aren’t a kernel expert. The great thing about joining the eBPF journey now is the number of different technical levels that exist as entry points. Whether you’re kernel obsessed looking to get into the bits or a manager looking to bring the value of eBPF into your org, there is a solution and set of resources for you. You don't need to become an eBPF expert to benefit. Just as JavaScript frameworks like Angular, Vue, and React simplify web development, eBPF frameworks and tooling abstract away the kernel-level complexities. Projects provide higher-level interfaces, making it accessible to a broader audience, here’s a few popular open source examples to explore: Bpftrace (High-level tracing language for Linux eBPF) Cilium (eBPF-based Networking, Security, and Observability) Bcc (Toolkit and library for efficient BPF-based kernel tracing) At Isovalent we further simplify this by offering the leading enterprise platform that translates human intent into eBPF programs through intuitive UIs, CLIs, and APIs. Do I need to be a kernel expert to get value out of eBPF? Nope, thankfully not! The beauty of the eBPF ecosystem today is that you don't need to be a kernel programming expert or an eBPF developer to harness its immense power. While the underlying technology is complex, the industry has developed sophisticated tooling and frameworks specifically designed to abstract away that complexity. Think of it this way: you don't need to understand a combustion engine to drive a car, and thanks to modernized workflows and engineering we’ve abstracted out the value of eBPF. Similarly, eBPF frameworks like Cilium, bpftrace, Tetragon, and Hubble provide higher-level interfaces that allow developers and platform teams to define solutions without writing raw eBPF code. You express what you want to achieve – like "create a firewall rule" or "observe HTTP 500 errors" – and the Isovalent translates that into optimized eBPF programs running in the kernel. This means you can leverage eBPF's benefits for security, networking, and observability with minimal specialized knowledge, focusing instead on operational goals. How does eBPF compare to legacy tools or software? eBPF represents the biggest shift in infrastructure software innovation in decades, aptly called superpowers for Linux, fundamentally transforming how we interact with the Linux Kernel compared to legacy tools. For years, the critical network control point has evolved: from traditional IT with network hardware, through the virtualization era with hypervisors, to today's Kubernetes and multi-cloud environments. In this modern landscape, the Linux Kernel, augmented by eBPF, has become the new control point. Traditional Linux networking and security tools, while foundational, often suffer from limitations: they are general-purpose, have seen little change in 20+ years, rely on limited packet-based context (IP, port), offer inefficient observability, and struggle with modern scale and performance demands. eBPF provides a monumental leap forward. It enables purpose-built solutions for modern workloads, rapid in-kernel innovation, deep and efficient observability with rich context (identity, API, process-aware), kernel-accelerated service meshes, and optimization for scale and performance. It shifts from reactive, user-space processing to proactive, in-kernel intelligence, delivering both speed and safety that legacy tools simply cannot match. Is eBPF safe? Absolutely. Safety is a cornerstone of eBPF's design and a primary reason for its widespread adoption in critical production environments. The Kernel is the most important part of any operating system, and crashing it can lead to system-wide instability or outages. This is precisely why eBPF incorporates robust security checks through the eBPF Verifier. The eBPF Verifier statically analyzes the program to ensure it's safe to run. It checks for potential issues such as infinite loops, out-of-bounds memory access, and division by zero, guaranteeing that a programming mistake cannot crash or hang your kernel. Additionally, eBPF programs run in a sandboxed environment, meaning they are isolated and can only perform operations explicitly permitted by the kernel. This combination of pre-execution verification and runtime sandboxing provides an unparalleled level of security, allowing administrators to extend kernel functionality with confidence, knowing their systems remain stable and protected. How does Isovalent turn intent into eBPF applications? Isovalent's abstracts out the value of eBPF programming, allowing users to take operational goals and translate that into actionable eBPF-powered applications. For example, a user might express an intent like, "Load-balance requests to service-A across all pods with the label app=A," or "Create a firewall rule so service-A can only talk to service-B," or even, "Has service-C experienced any HTTP 500 errors recently?" Isovalent’s platform allows users to define policies and configurations, which are then translated into eBPF programs and loaded into the kernel. When changes occur in the environment, users can update their configurations, and the platform provides tools to redeploy or adjust the relevant eBPF programs as needed. This approach gives teams direct control over how eBPF is applied, making advanced kernel capabilities accessible without requiring low-level kernel development. What use cases can eBPF solve for me? eBPF offers a suite of "superpowers" for Linux networking, security, and observability, addressing critical enterprise requirements like reliability, scale, and performance. Its versatility allows it to tackle a wide array of modern infrastructure challenges. Network Security, eBPF is used to implement advanced firewall rules, microsegmentation, and policy enforcement directly in the kernel. Observability, deep visibility into network traffic, application performance, and system behavior, offering rich context that goes beyond simple IP and port information to include identity, API calls, and process awareness. Advanced Networking for sophisticated load balancing, traffic shaping, and routing directly within the kernel for optimal performance. Runtime Security, helping security teams observe all applications and processes at runtime and apply enforcement policies for real-time threat detection and response. Load balancing with highly efficient, dynamic distribution of network traffic across services or endpoints by implementing advanced routing algorithms (e.g. Maglev) and health checks directly in-kernel, significantly reducing latency. Whether you're running Kubernetes, virtual machines, or bare-metal servers, eBPF provides the flexible, high-performance foundation to connect, observe, and secure your infrastructure. How can I learn more or try eBPF? If you're interested in the underlying bits of eBPF, there are excellent resources available to help you learn and get hands-on experience. A fantastic starting point is the official eBPF site, which serves as a hub for all things eBPF, offering documentation, tutorials, and community insights. For those who prefer a more practical hands-on approach, Isovalent offers a suite of read-to-start Labs that are specifically designed to get you started quickly. Try the introduction to eBPF lab! These virtual labs are sandboxed per user, meaning you get your own dedicated environment to experiment without impacting anything else. Accessible directly via your browser, these labs cover a wide range of topics and use cases, allowing you to experience eBPF's capabilities firsthand. Most labs are short and snappy, typically around 30-45 minutes, making them perfect for busy professionals. You can find these practical learning experiences at isovalent.com/labs.