Performance Engineering
Speed & scale—because every millisecond and megabyte moves your bottom line.
Market Proof
1 % sales ↓ / 100 ms
Amazon found 100 ms extra latency cuts revenue 1 %
Fast Company
8.4 % conv. ↑ / 0.1 s
0.1‑s faster retail site lifts conversions 8.4 %
Google Business
53 % bounces > 3 s
Users abandon pages loading 3 s+
Akamai
$1 – 5 M / hr
Downtime cost for enterprises
Dynatrace
35 % latency ↓
Google Cross‑Cloud Network reduces latency up to 35 %
Google Cloud
3× fewer failures
DORA elite teams w/ perf SLOs vs. low performers
Dynatrace
Key Benefits
Conversion & Revenue Lift
Faster pages = more sales, longer sessions.
Cost Efficiency
Tuned code + right‑sized infra cut cloud spend up to 40 %.
Reliability Under Load
Autoscale, caching, and chaos drills keep p99 green.
Competitive SEO Edge
Core Web Vitals in the green boosts rankings.
Observability Built‑In
Traces & SLO dashboards alert before users feel pain.
Scalable Architecture
Sharded DBs, async queues, CDNs built for growth.
Services & Solutions
Performance Audit
profiling, flame‑graphs, red + golden‑signal gap map
Load & Stress Testing
k6/Locust scripts, auto‑scaling validation, chaos drills
Front‑End Optimization
webpack/Vite budgets, CWV, lazy & edge rendering
Back‑End & DB Tuning
query plans, cache design, connection pool right‑size
CDN & Edge Strategy
global routing, TLS offload, TTL science, RUM feedback
SRE & SLO Program
error‑budget policy, alert tuning, incident run‑books
Success Stories
Retail
3‑s mobile loads, cart drops
CWV sprint → LCP ‑1.4 s, conv +11 %
FinTech
API p99 900 ms
gRPC, Redis, autoscale → p99 120 ms, infra ‑28 %
Media
Live‑stream stalls at 50 k CCU
Edge cache + ABR tune → buffering ‑60 %, DAU +15 %
Industry Use-Cases
Banking
low‑latency balances, ISO 8583 tuning
Healthcare
imaging DICOM cache, HL7 queue sizing
Retail & DTC
headless storefront p95 < 500 ms, PDP edge render
Gaming
20 Hz tick rate netcode, shard autoscale
Media & OTT
origin offload, ABR bitrate ladders, pre‑fetch
Manufacturing
MES throughput, OPC‑UA gateway burst tests
Energy
SCADA polling, historian write path optimization
Logistics
real‑time ETA, geohash DB hotspots
Travel
fare cache hit‑ratio, seat map SSR
Insurance
claims upload, policy doc render latency
Public Sector
tax‐filing peak load, citizen portal CWV
EdTech
exam session concurrency, video classroom QoS
Engagement Models
Perf Health‑Check (2 wks)
Optimization Sprint (4–6 wks)
Embedded Perf SRE
Performance Center‑of‑Excellence
Delivery Accelerators
k6 Cloud Templates: param per‑endpoint RPS curves
Perf Budget Linter: fails PRs if bundle, query, CLS budgets exceed
Latency Heat‑Map Dashboard: traces auto‑rank slow paths
Chaos Toolkit: 20+ fault injections (CPU steal, AZ‑fail, DNS‑blackhole)
Evidence & Quality
Pre‑/post metrics: LCP, p95, error rate, cost/req
Flame‑graphs & query plans attached to tickets
SLO doc and Grafana board delivered
ROI calc: revenue lift, infra savings, downtime avoided
Tooling Ecosystem
Profiling
Py‑Spy, Go‑Pprof, dotnet‑trace
Load & Chaos
k6, Locust, Gremlin, AWS FIS
Front‑End
Lighthouse CI, WebPageTest, bundle‑size CI
Observability
Grafana, Prometheus, Datadog APM
Certifications & Partnerships
What We Know
Perf Guild – polyglot perf engineers swap latest wins (eBPF profiling, QUIC, HTTP/3 push streams) weekly, updating run‑books.
Speed Lab – monthly 30‑hour hack‑fest where we race to shave ms off sandbox apps, refining toolchains before client work.
Modern Perf Stack
Runtime
Node 20, Go 1.22, .NET 8, Rust 1.76
Cache & Edge
Redis 7, Fastly Compute@Edge, Cloudflare Workers
DB
PostgreSQL 15 (Citus), DynamoDB, ClickHouse
Infra
K8s HPA/VPA, Graviton, Spot, eBPF probes
Speed equals revenue; scale equals survival. Engineer both.
Ready to Accelerate?
Book a 30‑minute performance‑engineering consult and turn slow into WOW.
Book Your Consultation →FAQ
Which metrics matter most?
Can performance & cost improve together?
Do you test in production?
Front‑end vs. back‑end—who owns what?
How do you handle mobile perf?
What about Gen‑AI latency?
Security impact?
Compliance?
Ongoing support?
Kick‑off timing?