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Fundamentals Performance Testing
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- 2. – PerformanceTesting Overview –PerformanceTesting -Why andWhen – PerformanceTestingTypes – PerformanceTesting Lifecycle – Performance Measurements and Metrics – Common Performance Bottlenecks – PerformanceTesting vs Performance Engineering Agenda
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- 4. Non-functional software testing technique Determineshow the stability, speed, scalability, and responsiveness of an application holds up under a given condition Identify the behavior of the application and supporting infrastructure under certain condition Maximum concurrent users Memory utilization, workload efficiency, and command response times What is PerformanceTesting
- 5. What is PerformanceTesting ØServer Side Ø Client-Side Interaction Ø Tool : Ø CommercialTools: LoadRunner, Rational, Smart Bear Ø Open Source: JMeter, Grinder
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- 9. Why andWhen we needto do PerformanceTesting
- 10. Why PerformanceTesting • Companylosses huge amount of money each year due to website crash for sudden increase of load in Black Friday/Thanksgiving sales. • Example:You have a website which makes profit of $200,000 in a peak hours(say 4 hours).So in peak hours the profit /hours is 50,000 .If the application get to see an unplanned downtime of 4 hours then the revenue of $50,000 will be lost! • An Akamai study found that nine percent of a site’s visitors never return to a website they find down. • Page speed influences purchases. Nobody likes slow-loading website.
- 11. Why PerformanceTesting • PoorApplication Experience • Error while performing critical Action under heavy Load • Application speed changes as per the Regions
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- 15. Types of PerformanceTesting LoadTest:Expected/Max load induced to AUT and find out system behavior. StressTest: Higher than expected load induced to AUT and find out system behavior. SoakTest : Expected/Max load induced to AUT for longer period to look for long term effect like memory leaks ,disk space filling up etc. VolumeTest: HugeVolume of data induced to AUT to find out system behavior. SpikeTest: How system cope up with sudden Spike ChaosTesting: It is the activity of applying 'unexpected' or extreme circumstances to a software system. This gives a measurement of how robustly the system can withstand such events outside the production environment. It affords app developers the ability to identify and learn from failures before they become outages Example: Netflix: Netflix built a chaos testing framework once they moved to AWS in 2008.They created Chaos Monkey .
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- 17. Requirement Gathering Test Planning Scripting Scenario Design and Execution Analysis and Reporting PerformanceTesting LifeCycle Systematic process to carry out the non- functional testing Goal has been set in the beginning of the cycle
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- 20. ResponseTime:Total time fromthe moment user sends a request and gets the response. Hit-per-second: Number of request send to the server in one second. Throughput : How many request has been processed by the server successfully. Error Rate : Percentage of error generating request compared to total request. PerformanceMeasurements
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- 22. § Average ResponseTime:Average amount of time taken to complete one request. § Minimum ResponseTime: Maximum time taken to complete a request. § Maximum Response time: Minimum time taken to complete a request. § 90thPercentile: 90% of total iterations having response time <=n second 90th percentile = 1.5 which means 90% of total iterations having response time <=1.5 sec R1 R2 R3 R4 R5 R6 R7 R8 R9 R10 1.6 0.8 1.5 0.9 1 0.9 1.2 1.1 1.3 1.4 R2 R4 R6 R5 R8 R7 R9 R10 R3 R1 0.8 0.9 0.9 1 1.1 1.2 1.3 1.4 1.5 1.6 Performance Measurements
- 23. KeyPerformanceTestingMetrics Server-Side Metrics • CPUUtilization • Memory Utilization • Garbage Collection • Long Running Query • Blocking Query • Deadlock Client-Side Metrics • Page LoadTime • Time to First Byte(TTFB) • DOM content load time • Page Size • User Experience
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- 25. PerformanceTesting Performance Engineering Performancetesting uncovers bugs and bottleneck issues and provides analysis reports to developers for resolution Performance engineering is taking performance concerns to the next level by helping developers to meet business case requirements and industry standards for speed, scalability, and sustainability. Performance test engineer is typically the role that is responsible for carry out performance testing. They make use of various performance testing tools, either on-premises or cloud-based, and take actions on their observations. Performance engineer is responsible for proactively defining the industry standards and techniques to build the system and then verify the performance within each development stage. Performance testing involves designing test cases and executing them by performance test engineers to determine website and application performance. Performance engineering requires the active involvement of performance engineers in the SDLC for building a high-performance website or application. PerformanceTester PerformanceTest Lead/Manager Performance Engineer PerformanceTest Architech Performance Engineering vs PerformanceTesting
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- 27. Referenced Link – https://www.appdynamics.com/blog/engineering/3- common-application-performance-bottlenecks-and- how-to-avoid-them/ –https://www.perfmatrix.com/ – https://www.stormforge.io/blog/types-performance- testing/ – https://stackify.com/ultimate-guide-performance- testing-and-software-testing/
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