WebAssembly (WASM) has emerged as the runtime of choice for serverless edge functions due to its near-native performance and strong isolation guarantees. However, extracting maximum throughput on heterogeneous edge hardware requires co-designing the WASM runtime with the underlying OS kernel. This article explores how eBPF can be leveraged to instrument, optimize, and secure WASM workloads at the edge.
Architecture Overview
The reference architecture consists of three layers: (1) a lightweight WASM runtime (e.g., WasmEdge or Wasmtime) executing user functions, (2) an eBPF-based observability plane that attaches to syscalls, network sockets, and memory allocations, and (3) a control plane that dynamically adjusts CPU pinning, huge-page allocation, and network queue mapping based on real-time telemetry. The diagram below illustrates the data flow from incoming HTTP request to WASM instance execution and eBPF hook points.
Hardware Performance Benchmark Telemetry
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CODE_COMPILER // EBPF UPROBE EXAMPLE
V8_SANDBOX_LIVE
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Press Ctrl + Enter to run
// EXECUTION_LOGS:
[ Ready for execution context... ]
Benchmark Results
We ran a suite of microbenchmarks on an Intel Xeon Silver 4314 (2.4 GHz) with 64 GB RAM, comparing baseline WASM execution vs. eBPF-optimized configuration. The optimized stack achieved a 2.3x reduction in cold-start latency (median 1.8 ms vs 4.2 ms) and a 1.7x increase in steady-state request throughput (12,400 req/s vs 7,300 req/s). Tail latency (p99) improved from 18 ms to 6 ms thanks to eBPF-driven CPU affinity and huge-page backing.
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