// industries

Three sectors where the inner loop is the business.

The constraints differ — microseconds, peak weekends, multi-tenant blast radius — but the practice is the same: measure, gate, ship, repeat.

// sector · hft

High-frequency trading

Tick-to-trade pipelines, deterministic matching engines, kernel-bypass networking, market-data normalization. The latency budget is microseconds; the testing budget is a recorded production tape replayed on every commit. We design and ship both.

  • DPDK · AF_XDP
  • Solarflare · ef_vi
  • FPGA offload
  • PTP · TSC clocks
  • lock-free MPMC
0%

Tick-to-trade cut

0%

Throughput ×

0%

Deterministic replay

// sector · ecommerce

Large-scale e-commerce

Catalog services, search ranking pipelines, checkout backbones, fulfillment orchestration. The platforms that move billions of dollars in the four-week window between Black Friday and the year-end freeze. We harden them for the burst and the steady-state.

  • edge compute
  • request coalescing
  • warm shards
  • feature-flag rollouts
  • shadow traffic
0%

Checkout p99 cut

0%

Infra spend cut

0

Peak shed events

// sector · saas

High-growth SaaS

Multi-tenant platforms outgrowing the architecture that got them to product-market fit. Cell-based isolation, noisy-neighbor mitigation, per-tenant rate budgets, and CI architecture that keeps shipping speed up while the codebase doubles every 18 months.

  • cell architecture
  • Bazel monorepo
  • remote execution
  • OTel tracing
  • SLO-gated deploys
0%

PR → prod cut

0%

Tenant isolation

0%

On-call pages cut

// case study

Peak-weekend checkout, 2.1B in held throughput.

A top-20 e-commerce platform engaged us 14 weeks before peak. The previous year's Black Friday had seen 11 minutes of degraded checkout — survivable, but expensive. The target this time: zero shed events through a 72-hour window at 4× the prior year's RPS.

diagnostic
# load test · 4× peak
checkout p99: 6.2s
db saturation: cart_items.write
cache: 71% miss on session restore
moves
cart writes: per-user shard + batch
session: edge KV w/ stale-while-revalidate
price oracle: request coalescing
shadow traffic gate in CI
result
p99 6.2s → 410ms · 4× peak sustained
zero shed events / 72h window
infra spend: -23% vs prior peak
held throughput: $2.1B over window

Sector-specific or sector-adjacent — both work.

The pattern catalog transfers. A consistent-hash refactor that saved a trading firm's tail latency last quarter is the same shape that stabilized a SaaS platform's tenant-isolation story this one. If your workload looks adjacent to these sectors, the diagnostic is identical.