TRENDING HASHTAG: #LoadTesting
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Bharat Logic
✅Performance testing is a critical aspect of software quality assurance that evaluates how a system performs under various conditions. The primary goal is to ensure that the application meets performance expectations in terms of responsiveness,... more✅Performance testing is a critical aspect of software quality assurance that evaluates how a system performs under various conditions. The primary goal is to ensure that the application meets performance expectations in terms of responsiveness, stability, and scalability.👍✅
✨Key Aspects of Performance Testing:✨
✔ Load Testing: Assess how the system handles a large volume of users or transactions.
✔ Stress Testing: Evaluate the system's behavior under extreme conditions or beyond its capacity limits.
✔ Endurance Testing (Soak Testing): Check if the system can handle a significant load over an extended period.
✔ Spike Testing: Test the system's reaction to sudden changes in load, such as a sudden increase in users.
✔ Volume Testing: Validate the system’s performance by testing it with a large amount of data.
✨Performance Testing Metrics:✨
✔ Response Time: The time it takes for the system to respond to a user request.
✔ Throughput: The number of transactions processed in a given period.
✔ Resource Utilization: The amount of CPU, memory, disk, and network resource usage.
✔ Concurrency: The number of users interacting with the application simultaneously.
✔ Error Rate: The percentage of requests that result in errors under load.
✨Tools for Performance Testing:✨
✔Apache JMeter: A popular open-source tool for load and performance testing.
✔LoadRunner: A comprehensive performance testing solution that supports various protocols.
✔Gatling: A modern load testing tool primarily for web applications.
✔k6: A developer-centric load testing tool that uses JavaScript for scripting.
✔NeoLoad: A performance testing tool designed for web and mobile applications.
✨Best Practices:✨
👉 Start performance testing early in the development process to identify bottlenecks sooner.
👉 Regularly update and maintain test scripts to reflect changes in application functionality.
👉 Simulate real-world usage patterns to get accurate performance metrics.
👉 Use monitoring tools to gather useful metrics and correlate them with performance testing data.
👉 Engage in continuous performance testing as part of the CI/CD pipeline.
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#PerformanceTesting #LoadTesting #StressTesting #Benchmarking #QualityAssurance
#SoftwareTesting #PerformanceEngineering #TestAutomation #SystemPerformance #SoftwarePerformance #APItesting #WebPerformance #TestingTools less
August 5, 2024
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