1. "It's Running, But I Have No Idea What's Happening Inside" — A Familiar Dead End
If you run Kubernetes in production long enough, you eventually hit this wall: the Pod is Running, the health checks are green, and yet a specific connection is mysteriously slow, or specific requests just vanish somewhere along the way. kubectl logs and kubectl describe offer no clues.
The traditional fixes have never been appealing. Rebuild the image with strace baked in. Inject a debug sidecar. Temporarily add a privileged container. Or roll out a custom kernel module to the node. None of these are easy to get approved in production — just getting through change management can take hours, sometimes days. This isn't limited to clusters you build yourself: even on a managed Kubernetes offering like Kubo, standard metrics monitoring alone runs into the same wall.
The combination of Kubernetes and eBPF solves this dead end from a different angle. It observes what's happening at the kernel level without touching the application image or the workload at all. Inspektor Gadget, a CNCF Sandbox project, is a tool that turns exactly this idea into something usable in day-to-day Kubernetes operations.
2. What Is eBPF? Why You Can See "Inside" Without Touching the App
In one sentence, eBPF (extended Berkeley Packet Filter) is "a mechanism for temporarily and safely installing a surveillance camera inside the Linux kernel." According to the official eBPF website, eBPF lets you load programs — verified safe to run inside the kernel — into arbitrary kernel hook points, executing them at near-native speed via a JIT compiler.
What matters here is that no kernel reboot or patch is required. Because programs can be loaded and unloaded at runtime, you can start observing a production environment without stopping it, and remove the observation the moment you no longer need it. The official site lists four main use cases for eBPF:
- Networking: accelerate packet processing in kernel space and add custom protocol parsers
- Observability: aggregate custom metrics inside the kernel and generate events from a variety of sources
- Tracing and profiling: attach to tracepoints and probes to diagnose system performance
- Security: monitor syscalls, packets, and sockets at the socket level to achieve context-aware security detection
What makes the Kubernetes + eBPF combination powerful is that this raw kernel-level data, on its own, doesn't actually tell you the Kubernetes context — which Pod, which container. That's the gap Inspektor Gadget fills, which we cover next.
3. How Inspektor Gadget Makes Kubernetes "Context" Visible
According to the Inspektor Gadget GitHub repository, the project is defined as "a collection of tools and a framework for data collection and system inspection on Kubernetes clusters and Linux hosts." The core unit is called a "gadget" — an eBPF program plus metadata (sometimes including a WebAssembly module) packaged as a single OCI image, storable and distributable through a container registry.
This lets raw syscalls and network packets observed by the kernel be automatically tied back to exactly which namespace, which Pod, and which process generated them. For example, it can distinguish whether traffic from a Pod is destined for another Pod, a raw IP address, or a Kubernetes Service, and even trace DNS name resolution. As shown in the Minikube add-ons documentation, it's easy enough to try with a single command: minikube addons enable inspektor-gadget.
In other words, within the Kubernetes + eBPF combination, Inspektor Gadget is the layer that bridges a powerful but too-low-level technology with the high-level abstraction of Kubernetes. This design philosophy complements the Prometheus + Grafana metrics monitoring built into managed Kubernetes environments like Kubo. Metrics tell you something is wrong, but they don't tell you why. That's where eBPF-based observability steps in to dig deeper.
4. What Happened to Inspektor Gadget in the CNCF Ecosystem in 2026
According to the CNCF Sandbox application issue, Inspektor Gadget was proposed and accepted as a project in October 2022. Per the CNCF Sandbox definition, Sandbox is "the entry point for early stage projects," a space for nurturing experimental projects before they see wide production use.
In 2026, the project reached two major milestones. The first is the completion of an independent security audit, announced on the official CNCF blog. Funded by the CNCF, coordinated by the Open Source Technology Improvement Fund (OSTIF), and carried out by Shielder, the audit found and fixed vulnerabilities including a medium-severity command injection issue, a potential DoS vector, and a low-severity lack of sanitization for ANSI escape sequences. Shielder noted that the audit focused on the elevated privilege level required to run eBPF programs and the risk of observation being evaded, ultimately concluding that the project is "mature both in secure coding and design."
The second milestone is AI integration. According to the official Inspektor Gadget blog, integration with the AIOps tool HolmesGPT now lets you invoke eight different eBPF-based investigation tools — DNS tracing, TCP connection monitoring, network packet capture, and more — through natural-language instructions alone. Simply asking "grab and summarize the network traffic for this Pod" can now trigger deep troubleshooting without memorizing complex kubectl commands. As AI agents take on more of the actual operational work, the low-level observability infrastructure behind them becomes even more essential.
5. Bringing eBPF Observability Into Production Kubernetes Operations
Taken together, this points to a realistic role for Kubernetes + eBPF in production operations: use Prometheus and Grafana metrics to detect that "something is wrong," and when the root cause still isn't clear, dig down to the syscall and network packet level with an eBPF-based tool like Inspektor Gadget. This two-tier operational design is a practical way to keep Kubernetes operations from depending on any one person's tribal knowledge.
What matters is that whether you can freely bolt on CNCF ecosystem tools like this later depends on how your cluster is built. In Kubernetes environments with heavy vendor-specific extensions, standard tools sometimes don't behave as expected. Kubo is built on K3s as Pure Kubernetes, conforming to the standard Kubernetes API, so CNCF project tools like Inspektor Gadget just work as-is. For infrastructure engineers who want to avoid vendor lock-in, this is a quiet but meaningful difference.
Looking further ahead at the AI-driven observability trend, pairing this with an AI agent execution platform like Captain.AI makes it realistic to automate the first response to an incident investigation. Start with the standard built-in monitoring, then add deep eBPF-based observability as needed. Whether your platform supports this kind of staged approach is going to matter more and more in infrastructure decisions going forward.
6. Conclusion
The problem of having no way to diagnose what's happening inside a Pod — when privileged containers, sidecars, and strace are all off the table in production Kubernetes — can now be a thing of the past. eBPF is a technology that extracts kernel-level truth without touching the application at all, and Inspektor Gadget is the layer that translates that truth into Kubernetes context. Having passed a security audit in 2026, and grown easier to use through AI integration, it has proven both its maturity and its practicality.
Don't rely on metrics alone to explain everything about your operations — keep eBPF as an option for filling in that "invisible layer." That's one step toward production operations that don't depend on any single person's tribal knowledge. With a Pure Kubernetes-compliant environment like Kubo, you can put CNCF ecosystem tools like this to work as-is, while running full-fledged Kubernetes operations at a predictable cost starting around ¥48,000/month. If you're interested, check out the pricing plans or get in touch for more details.