System bottleneck analysis, APM tooling integration and cloud cost reduction.
A consolidated services catalog built around three outcomes: lower p95 latency, higher throughput per dollar and fewer customer-visible incidents. Every service ships with measurable acceptance criteria and CI-enforced regression gates so the gains hold long after we leave.
System Bottleneck Analysis
Flame-graph driven hot-path discovery across JVM, .NET, Node, Python and Go runtimes. We isolate lock contention, GC pressure, async starvation and synchronous I/O choke points, then rank remediations by p95 impact per engineering hour.
APM Tooling Integration
Reproducible instrumentation patterns for Dynatrace, Datadog, New Relic, AppDynamics, Elastic APM and OpenTelemetry collectors. Includes auto-instrumentation, custom span enrichment, log-trace correlation and SLO catalog wiring.
Cloud Cost Reduction
Unit-cost modeling per transaction, autoscaling policy refits, spot/savings-plan layering, storage tiering and architectural decomposition that lowers infrastructure spend without sacrificing latency budgets.
Load-Time Engineering
Front-end performance work spanning hydration cost, bundle stratification, edge caching policy, image pipelines, CLS/INP triage and server-side rendering economics for Next.js, Remix, Angular and TanStack Start stacks.
Database & Query Tuning
Plan-cache forensics, index strategy, partition design, read-replica routing, connection pool sizing and migration paths across PostgreSQL, MySQL, SQL Server, Oracle, MongoDB and DynamoDB.
Runtime Profiling Programs
Continuous profiling rollouts using async-profiler, dotnet-trace, perf, py-spy and pprof — wired into CI so regressions are caught before they reach production.
Capacity & Load Modeling
Production-calibrated load tests with k6, Gatling and Locust. Burst, soak and chaos profiles, capacity headroom forecasting, and saturation analysis against business growth scenarios.
Resilience Engineering
Circuit breakers, bulkheads, retry budgets, hedged requests, graceful degradation paths, dependency isolation and chaos validation aligned to revenue-critical user journeys.
Technical Assessment Portals
Persistent dashboards that unify telemetry, SLO health, regression test gates and cost-per-transaction trendlines into a single executive- and engineer-facing surface.
From baseline capture to regression-gated production.
Every engagement follows a five-stage operating pattern. The boundaries are explicit so engineering leadership knows precisely what is shipping, when and against which measurable threshold.
| Stage | Inputs | Primary Outputs | Exit Criteria | Typical Duration |
|---|---|---|---|---|
| 1. Baseline Capture | RUM, synthetic, traces, infra metrics | Calibrated baseline + SLO catalog | Telemetry coverage ≥ 90% | 5–8 days |
| 2. Bottleneck Triage | Hot-path profiles, query plans | Ranked remediation backlog | Top-10 items scoped | 5 days |
| 3. Remediation Sprint | Backlog, owner mapping | Shipped fixes + CI gates | p95 −25% or scope-locked | 2–4 weeks |
| 4. Cost & Capacity Reset | Unit-cost model, headroom data | Right-sized infra plan | ≥ 20% recoverable spend | 2 weeks |
| 5. Sustainment Handover | Runbooks, dashboards, gates | Operational playbook | On-call validated | 1 week |
Representative Engagement — p95 API Latency
ms, 12-week trajectoryRemediation Backlog Burn-Down
closed vs identified, %- Database Plan Fixes95%
- Service-to-Service Tracing88%
- JVM GC Tuning80%
- Front-End Hydration72%
- Autoscaling Policy Refit64%
Artifacts your engineering org keeps, owns and operates.
- A calibrated technical assessment portal with live SLO and cost-per-transaction trendlines.
- An APM integration matrix documenting runtime coverage, span enrichment and log-trace correlation.
- A regression-gated CI pipeline with load tests modeled on production traffic distributions.
- A prioritized remediation backlog with measurable thresholds, owners and rollback plans.
- A unit-cost model expressing infrastructure spend per business transaction.
- Runbooks mapped one-to-one against alerts, validated against real on-call rotations.
- A resilience playbook covering bulkheads, circuit breakers, retry budgets and degradation modes.
- A capacity headroom forecast tied to your business-growth scenarios.