Vector Circuit Consulting

Bangkok-based programming consulting for teams that need clear evidence before they optimize: sampling profilers, allocation traces, and latency budgets tied to real code paths.

Rows of server racks and network cabling in a data center aisle

Performance work starts with measurements you can defend in a code review—not dashboard guesses. We scope each engagement after an inquiry so profiling depth matches your stack and release cadence.

Laptop on a desk with hands on the keyboard during software work

Where profiling time actually goes

We map hot paths with CPU samples, wall-clock spans, and allocator snapshots so you see whether the bottleneck is algorithmic, I/O-bound, or contention on shared resources.

Deliverables stay practical: flame graph walkthroughs, ranked change lists, and guardrail checks you can run in CI after patches land.

Review consulting focus areas

Engagement process

  1. Intake and constraints

    You share runtime, traffic shape, and the symptom—p99 latency, GC pauses, or runaway memory.

  2. Instrumented capture

    We attach profilers and tracers with production-safe sampling rates and reproducible load scripts.

    Open laptop showing an IDE on a wooden desk
  3. Optimization plan

    We prioritize fixes by measured impact, note risks to correctness, and outline verification steps.

  4. Handoff

    Your engineers keep the profiling recipes; we document baselines so regressions are obvious.

Questions teams ask before booking

Do you run load tests in our environment?

When access is granted, we prefer staging mirrors with anonymized data; otherwise we co-design replayable benchmarks.

Which languages and runtimes do you profile?

Common JVM, Node, Go, and .NET stacks; we confirm tooling fit during intake rather than promising blanket coverage.

How is pricing set?

Each engagement is quoted after the inquiry once scope, on-call windows, and profiling depth are clear.

Start with an inquiry