Performance Optimization
Find the bottlenecks, fix the quick wins, build a roadmap for the rest
Slow systems cost money and trust. I profile your infrastructure and applications top to bottom, deliver measurable improvements in the first week, and leave you with a prioritized plan for sustained performance gains.
The challenge
Without a performance strategy
- β P95 latency creeping up β users notice before dashboards do
- β Throwing more hardware at the problem β costs double, speed stays the same
- β Database queries that worked fine at 10K rows now choke at 10M
- β No baseline metrics β "it feels slow" is the only signal
- β Performance regressions ship silently with every release
With systematic optimization
- β Bottlenecks identified with data β CPU, memory, I/O, network profiled
- β 30-60% latency reduction from configuration alone
- β Right-sized resources β stop paying for idle capacity
- β SLOs defined and monitored β regressions caught before users see them
- β Every recommendation backed by benchmarks, not opinions
How it works
A structured approach β from diagnosis to measurable results in weeks.
Profile & Measure
Deep-dive profiling of your stack. CPU flame graphs, memory allocation patterns, I/O wait analysis, query plans, network latency β every layer instrumented with hard numbers.
Fix Quick Wins
Deploy immediate improvements in the first week. Configuration tuning, caching layers, index optimization, connection pooling, resource right-sizing β fast results that build confidence.
Roadmap & SLOs
Deliver a prioritized 90-day roadmap with expected impact for each item. Set up SLOs and automated alerting so regressions never ship silently again.
What you receive
Concrete deliverables with measurable outcomes β not a slide deck.
Performance Audit Report
Bottlenecks ranked by impact and effort. CPU, memory, I/O, network, and application-level profiling with specific root causes identified. Flame graphs, slow query analysis, and resource contention maps included.
Quick-Win Implementations
Immediate fixes deployed in the first week. Configuration tuning, caching strategies, query optimization, connection pooling, and resource right-sizing that show results fast. Typically 30-60% latency improvement.
90-Day Optimization Roadmap
Prioritized plan for sustained improvement. Each item has expected impact, effort estimate, risk assessment, and dependencies. Architectural changes, scaling strategies, and infrastructure upgrades mapped out.
Before/After Benchmarks
Measurable proof of improvement. Latency percentiles (p50, p95, p99), throughput, resource utilization, error rates, and cost metrics compared pre and post optimization.
SLO Framework
Service Level Objectives defined for your critical paths. Error budgets, alerting rules, and Grafana dashboards so your team can monitor and protect performance long after the engagement ends.
Performance Runbook
Step-by-step troubleshooting guide for your team. Common bottleneck patterns, diagnostic commands, escalation procedures, and tuning parameters documented for your specific stack.
What I optimize
π₯οΈ Compute
CPU profiling, thread contention, context switching, JVM/GC tuning, container resource limits, right-sizing workloads
ποΈ Database
Slow query analysis, index optimization, connection pooling, replication lag, query plan analysis, schema design
π Network
Latency profiling, DNS resolution, TLS handshake, HTTP/2 multiplexing, CDN configuration, load balancer tuning
βΈοΈ Kubernetes
Pod scheduling, HPA/VPA tuning, node bin-packing, etcd performance, service mesh overhead, ingress optimization
πΎ Storage & I/O
Disk I/O patterns, IOPS bottlenecks, caching layers, object storage throughput, PVC performance, NFS tuning
π€ AI Inference
GPU utilization, batch sizing, model quantization, vLLM/TGI tuning, KV cache optimization, multi-GPU scheduling
Technologies I work with
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Ready to speed things up?
30-minute discovery call. We identify the highest-impact bottlenecks and build a plan to fix them β with measurable results in the first week.
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