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systems-networking

systems-networking

Systems-level networking architecture: kernel-bypass (DPDK, io_uring, eBPF/XDP), zero-copy, the network stack data path, NIC offloads, congestion control, and high-connection-count (C10M) server design. Architect-level, not app HTTP. USE WHEN: designing high-throughput/low-latency networking, packet processing, "kernel bypass", "DPDK", "io_uring", "eBPF", …

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Skill 문서

GitHub

name: systems-networking description: | Systems-level networking architecture: kernel-bypass (DPDK, io_uring, eBPF/XDP), zero-copy, the network stack data path, NIC offloads, congestion control, and high-connection-count (C10M) server design. Architect-level, not app HTTP.

USE WHEN: designing high-throughput/low-latency networking, packet processing, "kernel bypass", "DPDK", "io_uring", "eBPF", "XDP", "zero-copy", "C10M", "line rate", NIC offload, congestion control, software data plane.

DO NOT USE FOR: REST/GraphQL API design (use api-design skills); app websockets (use real-time skills); cloud LB config (use infrastructure skills). allowed-tools: Read, Grep, Glob

Systems Networking Architecture

The latency/throughput ladder (pick the lowest tier that meets needs)

TierMechanismThroughput/latencyCost/complexity
Sockets + epollClassic kernel stackGood; syscalls + copies dominateLowest
io_uringAsync, batched, shared ringsFewer syscalls/copiesModerate; Linux ≥5.x
eBPF/XDPRun code at the driver hookDrop/redirect at line rate before stackVerifier limits; per-packet logic
Kernel bypass (DPDK)Poll-mode driver in userspace10–100M pps, µs latencyHigh; burns cores, no kernel stack

Decision drivers: required pps/latency, CPU budget (DPDK busy-polls cores), need for the kernel stack (TLS, routing), and operational complexity.

Architectural levers

  • Zero-copy: avoid user/kernel copies (sendfile, splice, io_uring fixed buffers, DPDK mbufs). Copies are often the real bottleneck.
  • Per-core / shared-nothing: thread-per-core with RSS/affinity (Seastar model) to kill cross-core contention and cache bouncing.
  • NIC offloads: checksum, TSO/LRO, RSS, and increasingly full TCP/crypto offload; SmartNIC/DPU pushes the data plane off the host CPU.
  • Congestion control: choose per goal — CUBIC (throughput), BBR (latency/bufferbloat), DCTCP (datacenter). Matters for tail latency.
  • C10M: the bottleneck is per-connection kernel cost and copies → bypass + zero-copy + per-core state.

When to recommend what

  • API server, normal scale → sockets/epoll or io_uring; don't over-engineer.
  • Software router/firewall/LB at line rate → XDP/eBPF or DPDK.
  • µs-tail trading/telco data plane → DPDK + per-core + kernel-bypass, SmartNIC.
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