Software Performance Testing Services

Top software performance testing tools vary by project needs. Enterprise tools like LoadRunner, NeoLoad, and Micro Focus Performance Center offer robust analytics and centralized control. Popular open-source tools include JMeter, Gatling, and Locust, known for flexibility and community support. Cloud solutions like BlazeMeter, LoadView, and OctoPerf scale easily and integrate with CI/CD pipelines.

At Etelligens, we often use a blend of tools tailored to project needs. The best tools support comprehensive workflows from test creation to reporting, fitting seamlessly into your DevOps ecosystem. Commercial tools suit large-scale enterprise apps, while open-source options offer agility for budget-conscious teams. Proper tool selection enhances reliability, scalability, and user experience.

API performance testing evaluates how APIs respond under load, focusing on metrics like response time, error rates, and resource usage. Types include load, stress, spike, endurance, and scalability testing. With APIs critical in microservices, performance issues can impact entire systems. Key metrics include requests per second, latency, CPU/memory usage, and database performance.

At Etelligens, we combine tailored tools and shift-left practices to detect issues early. The World Quality Report 2023-2024 states that continuous API performance testing reduces incidents by 37%. Testing early in development is crucial for stability and scalability.

Mobile app performance testing examines behavior across devices, networks, and conditions. Key elements include device testing, network simulation, resource analysis, UX metrics, and background behavior. Tools like Firebase, AppDynamics, and real-device cloud farms ensure accurate results.

Etelligens uses a layered approach combining automation, real devices, and production monitoring, improving app responsiveness by up to 40%. Google reports 53% of users abandon apps that load in over 3 seconds. Testing throughout development, not just before launch, drives better performance.

Continuous performance testing integrates performance checks into CI/CD pipelines, offering real-time feedback throughout development. It automates tests on each build, detects regressions early, and helps teams maintain performance baselines. Benefits include fewer incidents, faster issue resolution, and improved release confidence. At Etelligens, we embed tools like JMeter, Gatling, and k6 into CI/CD for early issue detection. Forrester reports teams using continuous testing detect problems 2.7x faster and cut incidents by 65%, making it essential for modern DevOps workflows.

Key API performance metrics include response times (average, percentiles, TTFB), throughput (RPS, TPS), reliability (error/success rates), resource use (CPU, memory, I/O), and database metrics (query time, count). Effective monitoring helps identify bottlenecks and meet SLAs. Etelligens builds custom dashboards for real-time analysis using tools like Grafana and Prometheus. For microservices, add distributed tracing and dependency mapping. API Quality Institute research shows monitoring these metrics can cut resolution time by 64%.

Continuous performance testing in DevOps enables early issue detection, reliable releases, and shared accountability. It builds trust in deployments, validates scalability, and supports faster innovation. Etelligens helps clients integrate it into pipelines, reducing cloud costs by 15–30% through early optimization. The State of DevOps 2023 report shows high-performing teams are 2.4x more likely to adopt it. The result: fewer hotfixes, better user satisfaction, and accelerated delivery cycles.

Top mobile metrics include app launch time, UI frame rates, input responsiveness, battery/CPU/memory usage, crash/ANR rates, and app size. Tools like Android Profiler, Xcode, Firebase, and New Relic Mobile provide real-time insights. High ANR or crash rates directly impact retention. Etelligens blends automated testing and real-device monitoring to optimize across conditions. According to Google, a 15% load time improvement can raise conversions by 7%, showing performance directly drives mobile success.

API performance testing involves defining SLAs, modeling real usage, scripting scenarios, setting up test environments, running various test types, and analyzing results. Tests include baseline, load, stress, endurance, and spike testing. Monitor server and client metrics, then diagnose bottlenecks. Etelligens integrates API testing into CI/CD for early insights using tools like JMeter and k6. Combining this with APM platforms ensures reliable, scalable APIs across development stages.

Design API tests around high-traffic endpoints and realistic user flows. Use varied data, simulate think times, include security elements, and cover dependencies. Scalability and edge cases must be tested, too. Establish measurable success criteria and handle errors gracefully. At Etelligens, we evolve tests with APIs and align them with business goals. Focused, realistic tests prevent surprises in production and ensure scalability.

Top API testing tools include JMeter (versatile, open-source), Gatling (code-based, great reporting), k6 (JavaScript, CI/CD friendly), and LoadRunner (enterprise-grade). Postman/Newman suits basic tests, while BlazeMeter offers scalable cloud load testing. Etelligens uses combinations based on project needs, e.g., k6 for CI/CD and JMeter for full-scale tests. The World Quality Report notes best outcomes when tools align with team expertise and project scope.