How eBPF Enables Zero‑Intrusion Monitoring for Multi‑Language Serverless Apps

Monitoring is a fundamental operations capability that helps developers locate faults, prevent risks, and optimize performance throughout the software lifecycle. As Serverless becomes the preferred cloud‑native model, users of languages like PHP, Python, C/C++, Node.js, and Go need a monitoring approach that requires no code changes or additional infrastructure.

High construction cost : Traditional monitoring demands a full stack—data collection, transport, storage, visualization, and alerting—adding resource and personnel expenses.

Intrusive instrumentation : Each language and framework must be manually instrumented, often with third‑party dependencies, and existing solutions for some languages still lack maturity and stability.

Operational complexity : Ensuring low latency, high availability, and accurate metrics while minimizing impact on application performance requires continuous tuning.

Serverless platforms must therefore offer a turnkey, zero‑intrusion, language‑agnostic monitoring capability. The article introduces the underlying technology—eBPF (Extended Berkeley Packet Filter)—that makes this possible.

What is eBPF?

eBPF, introduced in Linux 3.18, is a revolutionary kernel feature that runs sandboxed programs in response to system or application events without modifying kernel code. It provides a safe, efficient way to execute custom logic at hook points such as system calls, function entry/exit, tracepoints, and network events. Dynamic probes (KProbe, UProbe) enable tracing of both kernel‑space and user‑space functions, supporting use cases like network monitoring, security filtering, and performance analysis.

The eBPF workflow involves compiling a program to bytecode with LLVM or GCC, loading it into the kernel via the bpf system call, and passing a verifier that enforces safety constraints (restricted helpers, limited loops, no unreachable code). After verification, a JIT compiler translates the bytecode to native machine code for near‑kernel performance. Communication between user‑space and eBPF programs occurs through eBPF maps, allowing the kernel program to push collected metrics to a user‑space collector.

SAE Application Monitoring Powered by eBPF

SAE (Serverless Application Engine) is a fully managed Serverless PaaS that supports monolithic web apps, microservices, and scheduled tasks without operational overhead. Leveraging eBPF, SAE provides language‑agnostic, zero‑intrusion metric collection and alerting for any framework. It automatically captures the “golden three” RED metrics (Requests, Errors, Duration) and HTTP status codes, as well as service‑to‑service call details, presenting them on built‑in dashboards.

Zero‑ops : Deploy‑and‑run monitoring components without additional maintenance.

Code‑free instrumentation : No code changes or dependency additions are required to gather rich metrics.

Language‑agnostic : Kernel‑level network protocol parsing supports any language or framework.

Multi‑protocol coverage : Monitors HTTP, MySQL, Redis, Kafka, DNS, and other protocols.

High performance : Minimizes data copies between kernel and user space, incurring negligible overhead.

Technically, SAE runs eBPF probes as sidecar containers alongside user workloads, ensuring tenant isolation. The probes intercept system calls such as accept, read, write, sendto, and recvfrom, capturing connection details, thread context, and file descriptors. These raw events are forwarded to a user‑space program that performs protocol parsing, request/response correlation, filtering, dimensional aggregation, and finally exports the metrics to Arms Prometheus for persistent storage.

Future Outlook

As cloud computing moves toward full Serverless adoption, multi‑language, ecosystem‑wide observability will be a key differentiator. SAE’s monitoring capabilities will continue to evolve, adding global call topology, upstream/downstream service dependencies, and detailed tracing to build a comprehensive Serverless observability stack.