eBPF consulting and hands-on support

eBPF is a Linux kernel technology that lets you run small, verified programs inside the kernel without loading custom kernel modules. Teams use it for observability, networking, and security when they need fine-grained runtime data with low overhead and less operational risk than traditional agent-heavy approaches.

Platform engineering, SRE, security, and infrastructure teams often use eBPF to inspect system behavior, trace requests, watch network flows, and detect suspicious activity on Linux hosts. It fits well in production environments where you need kernel-level visibility without changing application code or maintaining custom drivers.

• Use it to collect metrics, traces, and logs from kernel and application boundaries with less overhead than many user-space agents.
• Use it to debug latency, dropped packets, syscall behavior, and other runtime issues on Linux systems in production.
• Use it to enforce or observe network policy, service-to-service traffic, and connection patterns in cloud and Kubernetes environments.
• Use it to detect anomalous processes, unexpected privilege use, and other security-relevant events without relying on custom kernel modules.
• Use it when your team needs a safer path to kernel-level instrumentation that can be managed through standard deployment and change-control practices.
• For teams building platform engineering or production support operating models, eBPF can reduce the need for custom kernel modules by shifting inspection and policy logic into verified programs that are easier to deploy, update, and retire.

Teams use eBPF when they need a safe way to run small programs inside the Linux kernel for observability, networking, and security without adding heavy agents or custom kernel modules. It fits work where you need fine-grained runtime data, low overhead, and control over what runs on each host.

• eBPF lets you collect high-signal kernel and network telemetry with less overhead than many user-space probes, which helps when you need always-on observability on production Linux systems.
• It gives you access to kernel events at the point where they happen, so you can trace process activity, syscalls, packet flow, and latency issues without relying on coarse polling or broad log scraping.
• Teams use eBPF for security monitoring because it can detect suspicious behavior from actual runtime events, such as unexpected process execution, file access, or network connections, with more context than application logs alone.
• It avoids the operational burden of custom kernel modules, which reduces upgrade risk and simplifies maintenance when you manage mixed Linux fleets or frequently patch kernels.
• eBPF supports networking use cases such as traffic filtering, policy enforcement, and packet-level visibility, which is useful when you need tighter control over service communication in Linux-based environments.
• It fits well in platform engineering and SRE work because you can standardize telemetry and enforcement logic across hosts, then automate deployment and updates through your existing Linux and CI/CD processes.
• eBPF can lower the cost of observability and security tooling by reducing the number of heavy agents you need to run on each machine, which matters in dense clusters and large server fleets.
• It is a practical choice when you need kernel-level data for debugging, capacity planning, or incident response, but still want a verified, bounded execution model that limits what code can do in the kernel.

Our practical experience with eBPF helps clients build safer, lower-overhead Linux observability, networking, and security systems with clearer control over kernel data, deployment risk, and day-2 operations. We help teams assess where eBPF fits, define safe program loading patterns, and integrate it into existing platform, security, and observability workflows without heavy agents or custom kernel modules.

Some of the things we did include:

• Assessing Linux workloads and tracing requirements to decide whether eBPF, agents, or existing kernel features are the right fit for observability, networking, or security use cases.
• Designing reference architectures for eBPF-based telemetry pipelines, packet processing, and policy enforcement with clear boundaries around kernel access and runtime permissions.
• Building deployment automation for eBPF programs, loaders, and supporting services through CI/CD or GitOps workflows, with versioned rollout and rollback steps.
• Adding guardrails for program verification, kernel compatibility, capability controls, and least-privilege execution so teams can ship kernel-level code with more confidence.
• Implementing observability for eBPF systems, including metrics, logs, traces, and health checks that make it easier to debug verifier failures, attach issues, and runtime drift.
• Creating runbooks for upgrades, kernel changes, incident response, and safe fallback paths when an eBPF workload needs to be disabled or replaced.
• Reviewing security and governance controls for packet inspection, syscall monitoring, and process-level telemetry to reduce exposure and keep audit expectations clear.
• Transferring knowledge to platform, SRE, and security teams so they can operate eBPF-based components independently after implementation.

Some of the things we can help you do with eBPF include:

• Assess your current Linux observability, networking, and security needs, then deliver a findings report with kernel-level use cases, deployment risks, and a prioritized implementation roadmap.
• Define an eBPF architecture for your environment, including program types, kernel version requirements, data paths, user-space collectors, and integration points with your existing tooling.
• Implement eBPF-based observability for traces, metrics, and flows so you can collect fine-grained runtime data without relying on heavy agents or custom kernel modules.
• Build eBPF-powered networking workflows for traffic visibility, packet processing, policy enforcement, or service communication analysis, with clear guidance on performance and failure modes.
• Set up automation and CI/CD or GitOps workflows for building, testing, packaging, and deploying eBPF programs and related user-space components across Linux fleets.
• Design guardrails for security and governance, including verifier-safe coding patterns, kernel capability planning, program signing or distribution controls, and rollout review steps.
• Integrate eBPF telemetry into your logging, metrics, tracing, and security stack so operators can use the data in day-to-day incident response and capacity work.
• Identify opportunities to improve cost efficiency and reliability by reducing agent overhead, cutting unnecessary data collection, and tuning sampling, filters, and event volume.
• Plan and execute eBPF upgrades or migrations across kernel versions, distribution mixes, or existing observability and security tools, with attention to compatibility and rollback.
• Document runbooks and day-2 operating procedures for troubleshooting verifier errors, kernel compatibility issues, deployment failures, and performance regressions.