Runtime & service paths
CPU profiles, async deadlocks, and inefficient serialization in hot handlers — tuned with reproducible benchmarks, not guesswork.
VectorPilot Software Consulting
Project-based programming consulting for teams chasing down slow endpoints, noisy GC, and database contention — scoped before a line of optimization work begins.
VectorPilot Software Consulting Pte. Ltd. · UEN 201957862K
Myth: throwing hardware at a sluggish API always fixes it. In practice, serialization hotspots, N+1 queries, and thread-pool starvation often survive a bigger instance unless you profile under real traffic.
We start from traces, metrics, and flame graphs your team already collects — then narrow to the code paths that actually move p95 latency.
Where application performance work tends to land
Data access layers
Query plans, ORM chatter, and connection pool sizing reviewed against production-like load so indexes match how the app actually reads data.
Release hygiene
Performance budgets in CI, canary comparisons, and rollback criteria written into the statement of work before changes ship.
Profiling before prescribing
Every engagement opens with agreed signals: which endpoints, which tenants, which failure mode. We document baseline p95/p99, allocation rates, and I/O wait so improvements are measurable.
Fees, deliverables, and access boundaries are confirmed in writing before profiling tools run against your environments. No retainer packages — each project stands on its own scope.
Questions teams ask before hiring a performance consultant
Do you need production access?
Usually read-only telemetry plus a staging mirror is enough. When production traces are required, access is time-boxed and listed in the statement of work.
Which stacks do you work in?
Typical engagements cover JVM, .NET, Node, Go, and Python services with SQL or document stores behind them. The first step is confirming your runtime and observability toolchain.
How are fees set?
Fixed-fee milestones after discovery, or time-and-materials with a not-to-exceed cap — whichever we document together before work starts. Starting figures are quoted individually, not from a catalogue price list.
What do you deliver?
Written findings, prioritized change list, and pairing sessions on the riskiest patches. We do not hand over a slide deck without runnable recommendations.
Who this is for — and who it is not
Good fit: engineering leads with a measurable regression, an upcoming peak season, or a migration where latency budgets matter.
Poor fit: greenfield marketing sites, SEO-only requests, or teams seeking a permanent staff augmentation bench without a defined performance outcome.