Performance Engineering & Testing
Fast apps aren’t an accident—they’re engineered. Our Performance Engineering & Testing Services help you build and maintain software that doesn’t just work under pressure—it thrives. From early-stage architecture to production-scale load testing, we ensure your application delivers speed, scalability, and reliability every step of the way.
Tools We Use For Testing
Our Performance Engineering & Testing Approach
Make the most of TestUnity’s software testing services to provide an impeccable experience to your users
Why Choose TestUnity for Performance Engineering & Testing?
- Shift-left performance strategy: plan for speed before problems start
- Real-world load simulation to ensure production readiness
- Support for monoliths, microservices, cloud-native, and hybrid environments
- Hands-on tuning for databases, caching, and application servers
Our Case Studies
FAQs
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How is performance engineering different from load testing?
Performance engineering is proactive. It focuses on designing systems that scale well from the start. Load testing is reactive—measuring how an existing system handles stress. We offer both to ensure long-term speed and resilience.
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What tools do you use for testing and monitoring?
We use JMeter, Gatling, LoadRunner, k6, and other tools for load generation. For monitoring, we integrate with APMs like New Relic and Prometheus to capture real-time metrics across the stack.
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Can you help optimize performance for cloud-native apps?
Yes. We specialize in performance tuning for Kubernetes, containerized apps, and distributed systems. We help ensure autoscaling, resource limits, and service meshes are configured for peak efficiency.
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Do you provide reports after testing?
Absolutely. Each engagement includes a detailed performance report with test data, charts, system bottlenecks, and clear, prioritized recommendations for improvement.
Latest QA Blogs
Software Testing Types: The Ultimate Cheat Sheet with Real Examples
Navigating the world of software testing can feel like learning a new language. With dozens of methodologies, techniques, and specialized terms, teams often struggle to answer fundamental questions: Which test should we run? When should we run it? What value does it actually deliver? This confusion can lead to critical gaps in quality, wasted effort on redundant […]
Chaos Testing Guide: Build Resilient Systems Through Failure
In the architecture of modern software—a sprawling ecosystem of microservices, cloud dependencies, and distributed databases—failure is not a question of “if” but “when.” Networks partition, third-party APIs throttle, data centers experience outages, and new code deployments introduce unexpected side effects. Traditional reliability testing, which often assumes a controlled, predictable environment, is inadequate for this reality. It […]


















































