What We Build With It
We engineer systems and processes that ensure your applications consistently deliver exceptional performance and are architected for future growth.
Comprehensive Load & Stress Testing
Simulating real-world traffic patterns and peak loads using tools like k6 or Locust to identify performance bottlenecks and breaking points before they impact users.
Capacity Planning & Scalability Reviews
Analyzing usage patterns and predicting growth to right-size infrastructure and architect systems that evolve effortlessly with business demands.
Advanced Performance Profiling & Tuning
Deep diving into application code, database queries, and infrastructure configurations to pinpoint performance hot spots and optimize for maximum throughput and minimal latency.
Why Our Approach Works
Prioritizing performance and capacity ensures happy users, efficient operations, and a future-proof technology foundation.
Superior User Experience & Higher Conversions
Fast, responsive applications delight users, reduce bounce rates, and directly contribute to increased engagement and revenue.
Optimized Cloud Infrastructure Costs
Eliminate wasteful over-provisioning by precisely matching resources to demand, leading to significant savings on your cloud bill.
Proactive Risk Mitigation
Identify and resolve performance and scalability issues in pre-production environments, preventing costly outages and poor user experiences.
Our Go-To Stack for Performance Engineering
We leverage a blend of specialized testing tools, monitoring platforms, and architectural best practices to engineer high-performing systems.
Load Testing Tools
k6, Locust, JMeter, Gatling for simulating realistic user traffic and system load.
Performance Profilers
Blackfire, JProfiler, custom code profilers for deep analysis of application performance.
Monitoring & APM
Datadog, New Relic, Prometheus/Grafana, Dynatrace for Application Performance Monitoring and infrastructure insights.
Cloud Native Scaling
Kubernetes Horizontal Pod Autoscaler, AWS Auto Scaling Groups, Azure Scale Sets for elastic resource management.
CDN & Edge Computing
Cloudflare, Akamai, AWS CloudFront for optimizing content delivery and reducing latency globally.
Synthetic Monitoring
Datadog Synthetics, Checkly, and custom playwright scripts for proactive performance validation.
Frequently Asked Questions
How early should we start thinking about performance?
+From day one! Performance and scalability should be baked into the architectural design, not bolted on at the end. ‘Shifting left’ on performance saves significant time and cost down the line.
What's the difference between performance testing and capacity planning?
+Performance testing tells you how your system behaves under specific loads. Capacity planning uses that data, along with business forecasts, to determine how much infrastructure you’ll need to meet future demands, ensuring readiness and cost-efficiency.
Will optimizing performance always increase costs?
+Not necessarily. Often, significant performance gains come from architectural optimizations, efficient code, and proper resource right-sizing, which can actually reduce infrastructure costs. We focus on finding the optimal balance for your business needs.
What are 'Core Web Vitals' and why do they matter?
+Core Web Vitals are a set of metrics from Google that measure real-world user experience: loading speed, interactivity, and visual stability. They are critical for both user satisfaction and SEO ranking.
How do you identify slow database queries?
+We use APM tools and database query profiling to identify ‘N+1’ problems, missing indexes, and suboptimal join patterns. We then work with your developers to refactor the code or the schema for maximum throughput.
Does autoscaling solve all our capacity problems?
+Autoscaling is powerful, but it’s not a silver bullet. If your application or database has a bottleneck (like a lock or a single-threaded process), adding more instances won’t help. We identify and fix these underlying bottlenecks so that autoscaling actually works.