Find the Bottleneck Before Your Users Do
Today's applications run on a complex architecture of system components and external APIs, deployed across hybrid public and private clouds. As user scale grows, isolating the root cause of performance issues gets harder — and deterioration under load has real consequences: negative publicity, poor app store ratings, and eventual downtime. Our Performance Engineering Service combines end-to-end testing, monitoring, and root-cause analysis to keep your systems fast under real-world conditions.
What you gain from a disciplined performance practice.
- Faster time to value by leveraging experts instead of building capability from scratch.
- Standardized processes and reporting across every testing engagement.
- Eliminated risk of downtime in production.
- Reduced cost of performance testing.
- Superior user experience and customer retention.
- Business growth and productivity, driven by systems that hold up under real load.
A structured methodology built for quick time to value.
Given the short timeframes typically available for performance engineering activities in the SDLC, we follow a disciplined, three-stage process.
Planning & Requirement Gathering
We begin by understanding the testing objectives and test scenarios to be simulated, in close collaboration with application owners, architects, users, analysts, and testers.
Test Setup and Execution Cycles
Once requirements and architecture are understood, testing tools, monitoring tools and test environment is setup. Test scripts and test data is created and simulation scenarios are executed iteratively.
Test Execution, Analysis & Reporting
As testing is executed, results are analyzed for performance bottlenecks. As these bottlenecks are remediated, tests are executed iteratively to isolate successive bottlenecks and reports are generated
The right test for the right question.
We run different testing types depending on what you actually need to know about your system.
Load Testing
Checks the application's ability to perform under anticipated user loads — identifying bottlenecks before go-live.
Stress Testing
Tests an application under extreme workloads to identify the breaking point of an enterprise application.
Scalability Testing
Tests a system's ability to manage more — loads, users, requests, computations — to help plan capacity additions.
Endurance Testing
Tests a system's ability to endure loads over an extended period, helping determine if there are any memory leaks.
Volume Testing
Tests a system's ability to handle large amounts of data, checking performance under dynamically fluctuating database volumes.
Stability Testing
Tracks the software's reaction to sudden large spikes in user load — evaluating downtime risk and informing maintenance scheduling.
Speed, insight, and a solution built around your systems.
Speed to Value
Decades of experience in performance engineering ensures quick results.
AI Advantage
We leverage leading AI-based tools to deliver solid insights.
Tailored Fit
We thoroughly understand your systems to provide a tailored solution.