Custom performance testing services
Our performance engineers specialize in identifying and eliminating bottlenecks across the full stack. From frontend rendering to database queries, they optimize every layer for maximum throughput and...
We model realistic user behavior patterns, ramp up gradually, and identify the exact point where performance degrades so you can plan capacity accordingly.
We identify how your system fails under extreme load — whether it degrades gracefully or crashes — and help you implement circuit breakers and fallback mechanisms.
We monitor system metrics over 24-72 hour test runs to identify slow resource leaks that only manifest after hours of continuous operation.
We test auto-scaling configurations, database connection pooling, cache hit rates, and load balancer behavior to ensure your system grows with demand.
We analyze JavaScript bundle sizes, image optimization, caching strategies, and rendering performance to deliver sub-second page loads.
We profile query execution plans, optimize indexes, implement caching layers, and tune database configurations for optimal throughput.
"They identified a database bottleneck that would have caused a major outage during our product launch. Their performance testing saved us millions."
Robert Chang
CTO, StreamData
Case Studies
Real results from real projects. See how we've delivered transformative performance testing solutions.
Optimized a Platform to Handle 100K Concurrent Users
Identified and resolved 15 performance bottlenecks, improving response times by 4x under peak load.
Prevented a Black Friday Outage for a Major Retailer
Load tested with 5x expected traffic, identifying infrastructure scaling issues 6 weeks before the event.
Reduced API Response Times from 2s to 50ms
Optimized database queries, implemented caching, and restructured API endpoints for sub-100ms responses.
Tools & Technologies
We combine industry-standard frameworks with modern tooling and proven internal processes to accelerate delivery.
Load Testing
- JMeter
- k6
- Gatling
- Locust
APM
- New Relic
- Datadog
- Dynatrace
- Grafana
Profiling
- Chrome DevTools
- pprof
- YourKit
- VisualVM
Infrastructure
- AWS CloudWatch
- Prometheus
- Elasticsearch
- Kibana
Frequently Asked Questions
Have more questions? Talk to an expert — we're happy to help.
Ideally from early development stages. We recommend baseline testing after MVP and comprehensive load testing before each major release. Shift-left performance testing catches issues before they become expensive to fix.
We base this on your expected peak traffic plus a safety margin (typically 2-3x). We analyze your analytics data, growth projections, and seasonal patterns to define realistic load profiles.
Response time (P50, P95, P99), throughput (requests/second), error rate, CPU/memory utilization, database query times, and Core Web Vitals for frontend performance.
Yes. We perform controlled production testing during low-traffic windows using synthetic traffic that doesn't affect real users. We also test in staging environments that mirror production infrastructure.
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