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In today’s competitive mobile apps scenario, in order to have your customer keep using your app it is very important that it performs well. From customers perspective the performance is that the functionality should work fast. However, to get to that as a technical person you need to take care of various things like processing time, memory consumption etc. When it comes to mobile the factors that can influence this could be like the network speed, device type etc. You need to test on all of these as your customers would be there on all of these. Buying different devices and setting up your own lab is one solution, but, it may be not be that practical. Is there an alternative? Yes, you can use cloud based solutions to do that. This webinar will help you understand these aspects and how to use cloud based solutions for it. <br>https://www.pcloudy.com
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Cloud Based Performance Testing of Mobile Apps By GaneshSahai NileshTarale
Introduction In today’s competitive mobile apps scenario, in order to have your customer keep using your app it is very important that it performs well. From customers perspective the performance is that the functionality should work fast. However, to get to that as a technical person you need to take care of various things like processing time, memory consumption etc. When it comes to mobile the factors that can influence this could be like the network speed, device type etc. You need to test on all of these as your customers would be there on all of these. Buying different devices and setting up your own lab is one solution, but, it may be not be that practical. Is there an alternative? Yes, you can use cloud based solutions to do that. This webinar will help you understand these aspects and how to use cloud based solutions for it.
Agenda • What are the performance parameters of mobile applications • Load, Stress, Volume • Time, Memory, Data etc. • How can we leverage different tools to do performance testing • How to use solutions like pCloudy to do performance testing • Planning and executing performance testing for mobile apps.
Performance Testing • What is performance? • Generally it is the turnaround time of things to happen. Eg. : • a quick payment transaction and delivery at a shop counter etc. • In software, generally • Time taken for various tasks • Memory consumed at runtime • CPU utilization
Performance Testing • How much time does it take given a set of inputs for the output to show up • Eg. • how much time it takes to launch app • how much time it takes to render a webpage • how much time it takes to login • This is very critical in today’s times as HW speeds and net speeds have gone up and users hate waiting
Performance Testing • Load Testing • Generally also referred or meant as performance testing • It is loading the system and measuring the performance • Stress Testing • If we cross the expected peak load and hence overload the system and measure the performance. This is called stress testing • Volume Testing • Measuring the performance while feeding it with lot of data
Performance Testing • Process • Identify the key performance indicators • Indentify the environmental setup needs • Identify the tools to be used • Execution and result reporting • Identify the key performance indicators • Eg. for a typical app: • Front end • CPU, Memory • Battery and network condumption • Turnaround time for transactions • Back end • Availability/Uptime • Concurrency, throughput and scalability
Performance Testing • Indentify the environmental setup needs • Devices • Their configuration • Identify the tools to be used • Android Studio • DDMS • Cloud Solution • pCloudy • Execution and result reporting
Typical Scenarios with pCloudy • Some typical scenarios: • App level performance monitoring during Manual Testing @ pCloudy • App level performance monitoring during Automation Testing @ pCloudy • App level performance monitoring during BOT tests @ pCloudy • App level performance monitoring during debugging the app @ pCloudy • App level performance monitoring during load testing in conjunction with tools like jMeter @ pCloudy