This Is How We Test Our Performance With JMeterMedianova
JMeter is an open-source load testing tool that can test static pages, dynamic resources, and perform functional tests on applications. It simulates heavy loads on servers, databases, or networks to analyze performance under different conditions. Performance testing ensures software delivers robustly under different settings by measuring an application's performance. JMeter tests web applications and services, databases, and more. It provides reports on test results to help understand an application's performance limits.
JMeter JMX Script Creation via BlazeMeterRapidValue
Apache JMeter is an open source load testing tool that enables you to execute performance tests on your app or website. To run a load test, you need to create a script that will detail the steps of your testing scenario and then run it. You can run your JMeter script locally on JMeter, or in the Cloud or from behind a firewall on BlazeMeter. This article will take you through an overview of running a JMeter test on BlazeMeter.
Vskills certification for JMeter Tester assesses the candidate as per the company’s need for performance and load testing of software applications especially web applications. The certification tests the candidates on various areas in building, installation of JMeter, Building of FTP, LDAP, Web, Webservice, etc. test plans, Listeners, remotes testing and using regular expression.
I will be going to present the session on Performance Testing to let people know about the importance (what and why) of performance testing in software and how can we easily perform performance testing using the tool Jmeter. I will be more focused to introduce the use of the Jmeter tool in Performance Testing.
This document provides an overview of performance testing and the Apache JMeter tool. It discusses what performance testing is, why it is important, and common types of performance tests. It then describes Apache JMeter, why it is useful for performance testing, how it works, and its basic elements like thread groups, timers, listeners, and samplers. The document demonstrates how to install JMeter, create a simple test plan, get results and reports. It also covers JMeter plugins, especially the WebDriver sampler for testing web applications using real browsers.
Apache JMeter is an open-source performance testing tool used to test the performance of web applications. It works by acting like a group of users sending requests to a target server and collecting response times and other statistics. JMeter is useful for performance testing because it is free to use, supports multiple protocols, has a user-friendly GUI, and can generate detailed reports on test results. To perform a test, users create a test plan with thread groups to simulate users, HTTP requests to send to the server, and listeners to monitor responses and performance.
Performance testing is testing an application for speed, stability and scalability in “Production like Environment” under virtual user load to meet Non-Functional requirements
This Is How We Test Our Performance With JMeterMedianova
JMeter is an open-source load testing tool that can test static pages, dynamic resources, and perform functional tests on applications. It simulates heavy loads on servers, databases, or networks to analyze performance under different conditions. Performance testing ensures software delivers robustly under different settings by measuring an application's performance. JMeter tests web applications and services, databases, and more. It provides reports on test results to help understand an application's performance limits.
JMeter JMX Script Creation via BlazeMeterRapidValue
Apache JMeter is an open source load testing tool that enables you to execute performance tests on your app or website. To run a load test, you need to create a script that will detail the steps of your testing scenario and then run it. You can run your JMeter script locally on JMeter, or in the Cloud or from behind a firewall on BlazeMeter. This article will take you through an overview of running a JMeter test on BlazeMeter.
Vskills certification for JMeter Tester assesses the candidate as per the company’s need for performance and load testing of software applications especially web applications. The certification tests the candidates on various areas in building, installation of JMeter, Building of FTP, LDAP, Web, Webservice, etc. test plans, Listeners, remotes testing and using regular expression.
I will be going to present the session on Performance Testing to let people know about the importance (what and why) of performance testing in software and how can we easily perform performance testing using the tool Jmeter. I will be more focused to introduce the use of the Jmeter tool in Performance Testing.
This document provides an overview of performance testing and the Apache JMeter tool. It discusses what performance testing is, why it is important, and common types of performance tests. It then describes Apache JMeter, why it is useful for performance testing, how it works, and its basic elements like thread groups, timers, listeners, and samplers. The document demonstrates how to install JMeter, create a simple test plan, get results and reports. It also covers JMeter plugins, especially the WebDriver sampler for testing web applications using real browsers.
Apache JMeter is an open-source performance testing tool used to test the performance of web applications. It works by acting like a group of users sending requests to a target server and collecting response times and other statistics. JMeter is useful for performance testing because it is free to use, supports multiple protocols, has a user-friendly GUI, and can generate detailed reports on test results. To perform a test, users create a test plan with thread groups to simulate users, HTTP requests to send to the server, and listeners to monitor responses and performance.
Performance testing is testing an application for speed, stability and scalability in “Production like Environment” under virtual user load to meet Non-Functional requirements
Introduction to jmeter & how to view jmeter Test Result in Real-TimeBugRaptors
BugRaptors use different types of tools for performance and load testing. One of the tools we use is JMeter to analyze the performance of web applications and Mobile apps with varying load. It is used to test performance both on static and dynamic resources such as static files, Java Servlets, ASP.NET, PHP, CGI scripts, Java objects, databases, FTP servers, and more.
An introduction to the advantages of the features of JMeter 4.0. In addition, I will talk a little bit about the way that a real project applies it for continuous integration on TeamCity to get the test result in every day
Load Testing with Open Source, includes
#1 Common Sense in load testing
#2 Review of Open Source Load Testing tools including JMeter(http://jmeter.apache.org/), Gatling.io, and others.
#3 Why continuous load testing (Jenkins)
#4 Why is load testing interesting to me and the start of Redine13(https://www.redline13.com/)
Delivered at Fosscon(http://fosscon.us/) Philadelphia 2015.
This document provides an overview of load testing with Jmeter, including what Jmeter is, the types of performance testing, load testing tools with a focus on Jmeter, why Jmeter is useful, key performance indicators measured by Jmeter, and Jmeter tools and terminology. It also includes a brief personal profile of the author.
How to Get Automatic Analysis for Load Test ResultsClare Avieli
The ability to fully automate your results analysis is vital in today’s Continuous Integration and Continuous Deployment era. Agile practices like Microservices exacerbate this need, giving you tens of services to test, ten times a day! Analysis by the human eye is impossible - you need automation.
But automating the analysis is extremely difficult due to the ever-increasing complexities of load testing processes and timeline based reports. As such, contemporary load testing tools and services offer excellent ways to present reports but fall short when it comes to the analysis.
In this presentation, Andrey Pokhilko (founder of JMeter-plugins.org and Loadosophia) explores how to take automatic result analysis and decision making to a new level.
Join us and discuss:
• Why is it tough to fully automate analysis and decision making on test results
• How humans analyze the test in practice - which KPIs they look at
• Which decisions can be made automatically during test execution
• Which facts can be automatically concluded post-test
• Practical results from several months of method application
Load testing is essential for any software to the test its performance before it’s out there in the market. Load testing will simulate various load circumstances and will test the endurance of any software. However, to do these, testers usually depends on various tools. Let’s have a look.
This document provides an agenda and overview for a performance testing training with JMeter. It begins with an introduction to performance testing, including the purpose and types of performance testing. It then covers getting started with JMeter, including installation, setup, and running JMeter. The remainder of the document outlines the content to be covered, including building test plans with JMeter, load and performance testing of websites, parameterization, adding assertions, and best practices. The goal is to teach participants how to use JMeter to perform various types of performance testing of applications and websites.
JMeter is an open-source load testing tool that can test various server types including web servers. It allows performance testing by simulating a heavy load on a system and stress testing to push a system to its limits. Key benefits of JMeter include its ability to test HTTP, database, JMS, mail protocols and more. It also has a full multithreading framework and customizable plugins. Creating a test plan in JMeter involves adding thread groups to simulate users, HTTP request samplers, listeners to view results, and other elements like timers, assertions and post-processors. JMeter also supports recording tests from a browser and distributed testing across multiple machines.
JMeter is a tool for load testing web applications. It allows users to simulate heavy loads on servers to test performance. The document discusses how to automate testing using JMeter by creating test plans with thread groups representing users, HTTP requests to test web pages, and listeners to view results. Key steps include using the HTTP Proxy Server to record browser navigation and create test samples, configuring default request properties, and running tests with multiple threads over many iterations to simulate load.
The document discusses using JMeter for load testing a website. It describes creating a test scenario to emulate 400,000 users, with 10% logging in and 10% creating content. The test would check if the site's infrastructure could handle loads of 5, 20, and 50 concurrent users. The scenario would involve logging in, browsing pages, and 10% of users creating a page before logging out. The document provides tips on using HTTP requests, regular expression extractors, and other JMeter tools and recommends running tests near a production environment to avoid network issues.
It gives you an basic over view to start up with Jmeter. This slide encourage you to start from basic terminology in the Performance Testing field. It contains information about Different subcategory of Performance Testing. The main focus is to connect performance testing with Jmeter.
BugRaptors use different types of tools for performance and load testing. One of the tools we use is JMeter to analyze the performance of web applications and Mobile apps with varying load. It is used to test performance both on static and dynamic resources such as static files, Java Servlets, ASP.NET, PHP, CGI scripts, Java objects, databases, FTP servers, and more.
Load testing simulates multiple users accessing an application simultaneously to evaluate performance under different load scenarios. There are three main types of load testing:
1. Performance testing gradually increases load to determine the maximum number of users/requests per second an application can handle.
2. Stress testing pushes load beyond normal limits to identify the breaking point and ensure error handling.
3. Soak testing subjects an application to high load over an extended period to check for resource allocation problems, memory leaks, and server overloading.
The tool JMeter is commonly used for load testing and allows simulating many users and transactions. It can test HTTP, databases, and other components. Plugins extend its functionality and distributed testing improves load
Now you have finished your site and someone asked you the question: How many users can we serve before we need more power and muscle on our server environment? Good question! And if you don't know how to find that out, how to measure it, and find the bottle necks, come to this session. You’ll find out how to get started and learn more about tools for Coldfusion application load testing and how to use them.
See Video Recording of Talk at NCDevCon here:
http://goo.gl/Obia8
Apache Jmeter 3.2 is an open source performance testing tool for load and functional testing of web applications. It can test HTTP, HTTPS, FTP, TCP, databases via JDBC, LDAP, mail protocols and more. Jmeter is a 100% Java application that is lightweight and can run on Linux/Windows. It is recommended to have an Intel Core i5 CPU, 32GB RAM, 500GB HD or SSD, 1GB Ethernet, 30M upload and download bandwidth for optimal performance testing with Jmeter.
This document discusses best practices for organizing files and folders in research projects. It recommends following consistent naming conventions that provide context and description and adhering to a logical directory structure. Specifically, it suggests including relevant information like location, date, and version in file names. The document also stresses the importance of documentation and provides an example folder structure from the LOCI lab that organizes data by project, subproject, experiment, and replicates. Overall, the key aspects of file organization highlighted are naming conventions, directory structure, documentation, and consistency.
Introduction to jmeter & how to view jmeter Test Result in Real-TimeBugRaptors
BugRaptors use different types of tools for performance and load testing. One of the tools we use is JMeter to analyze the performance of web applications and Mobile apps with varying load. It is used to test performance both on static and dynamic resources such as static files, Java Servlets, ASP.NET, PHP, CGI scripts, Java objects, databases, FTP servers, and more.
An introduction to the advantages of the features of JMeter 4.0. In addition, I will talk a little bit about the way that a real project applies it for continuous integration on TeamCity to get the test result in every day
Load Testing with Open Source, includes
#1 Common Sense in load testing
#2 Review of Open Source Load Testing tools including JMeter(http://jmeter.apache.org/), Gatling.io, and others.
#3 Why continuous load testing (Jenkins)
#4 Why is load testing interesting to me and the start of Redine13(https://www.redline13.com/)
Delivered at Fosscon(http://fosscon.us/) Philadelphia 2015.
This document provides an overview of load testing with Jmeter, including what Jmeter is, the types of performance testing, load testing tools with a focus on Jmeter, why Jmeter is useful, key performance indicators measured by Jmeter, and Jmeter tools and terminology. It also includes a brief personal profile of the author.
How to Get Automatic Analysis for Load Test ResultsClare Avieli
The ability to fully automate your results analysis is vital in today’s Continuous Integration and Continuous Deployment era. Agile practices like Microservices exacerbate this need, giving you tens of services to test, ten times a day! Analysis by the human eye is impossible - you need automation.
But automating the analysis is extremely difficult due to the ever-increasing complexities of load testing processes and timeline based reports. As such, contemporary load testing tools and services offer excellent ways to present reports but fall short when it comes to the analysis.
In this presentation, Andrey Pokhilko (founder of JMeter-plugins.org and Loadosophia) explores how to take automatic result analysis and decision making to a new level.
Join us and discuss:
• Why is it tough to fully automate analysis and decision making on test results
• How humans analyze the test in practice - which KPIs they look at
• Which decisions can be made automatically during test execution
• Which facts can be automatically concluded post-test
• Practical results from several months of method application
Load testing is essential for any software to the test its performance before it’s out there in the market. Load testing will simulate various load circumstances and will test the endurance of any software. However, to do these, testers usually depends on various tools. Let’s have a look.
This document provides an agenda and overview for a performance testing training with JMeter. It begins with an introduction to performance testing, including the purpose and types of performance testing. It then covers getting started with JMeter, including installation, setup, and running JMeter. The remainder of the document outlines the content to be covered, including building test plans with JMeter, load and performance testing of websites, parameterization, adding assertions, and best practices. The goal is to teach participants how to use JMeter to perform various types of performance testing of applications and websites.
JMeter is an open-source load testing tool that can test various server types including web servers. It allows performance testing by simulating a heavy load on a system and stress testing to push a system to its limits. Key benefits of JMeter include its ability to test HTTP, database, JMS, mail protocols and more. It also has a full multithreading framework and customizable plugins. Creating a test plan in JMeter involves adding thread groups to simulate users, HTTP request samplers, listeners to view results, and other elements like timers, assertions and post-processors. JMeter also supports recording tests from a browser and distributed testing across multiple machines.
JMeter is a tool for load testing web applications. It allows users to simulate heavy loads on servers to test performance. The document discusses how to automate testing using JMeter by creating test plans with thread groups representing users, HTTP requests to test web pages, and listeners to view results. Key steps include using the HTTP Proxy Server to record browser navigation and create test samples, configuring default request properties, and running tests with multiple threads over many iterations to simulate load.
The document discusses using JMeter for load testing a website. It describes creating a test scenario to emulate 400,000 users, with 10% logging in and 10% creating content. The test would check if the site's infrastructure could handle loads of 5, 20, and 50 concurrent users. The scenario would involve logging in, browsing pages, and 10% of users creating a page before logging out. The document provides tips on using HTTP requests, regular expression extractors, and other JMeter tools and recommends running tests near a production environment to avoid network issues.
It gives you an basic over view to start up with Jmeter. This slide encourage you to start from basic terminology in the Performance Testing field. It contains information about Different subcategory of Performance Testing. The main focus is to connect performance testing with Jmeter.
BugRaptors use different types of tools for performance and load testing. One of the tools we use is JMeter to analyze the performance of web applications and Mobile apps with varying load. It is used to test performance both on static and dynamic resources such as static files, Java Servlets, ASP.NET, PHP, CGI scripts, Java objects, databases, FTP servers, and more.
Load testing simulates multiple users accessing an application simultaneously to evaluate performance under different load scenarios. There are three main types of load testing:
1. Performance testing gradually increases load to determine the maximum number of users/requests per second an application can handle.
2. Stress testing pushes load beyond normal limits to identify the breaking point and ensure error handling.
3. Soak testing subjects an application to high load over an extended period to check for resource allocation problems, memory leaks, and server overloading.
The tool JMeter is commonly used for load testing and allows simulating many users and transactions. It can test HTTP, databases, and other components. Plugins extend its functionality and distributed testing improves load
Now you have finished your site and someone asked you the question: How many users can we serve before we need more power and muscle on our server environment? Good question! And if you don't know how to find that out, how to measure it, and find the bottle necks, come to this session. You’ll find out how to get started and learn more about tools for Coldfusion application load testing and how to use them.
See Video Recording of Talk at NCDevCon here:
http://goo.gl/Obia8
Apache Jmeter 3.2 is an open source performance testing tool for load and functional testing of web applications. It can test HTTP, HTTPS, FTP, TCP, databases via JDBC, LDAP, mail protocols and more. Jmeter is a 100% Java application that is lightweight and can run on Linux/Windows. It is recommended to have an Intel Core i5 CPU, 32GB RAM, 500GB HD or SSD, 1GB Ethernet, 30M upload and download bandwidth for optimal performance testing with Jmeter.
This document discusses best practices for organizing files and folders in research projects. It recommends following consistent naming conventions that provide context and description and adhering to a logical directory structure. Specifically, it suggests including relevant information like location, date, and version in file names. The document also stresses the importance of documentation and provides an example folder structure from the LOCI lab that organizes data by project, subproject, experiment, and replicates. Overall, the key aspects of file organization highlighted are naming conventions, directory structure, documentation, and consistency.
This presentation covers about the core concepts of ruby dynamic nature of programming that acts as the foundation for building frameworks, gems etc. This is mainly for people who are working with Ruby on Rails, as this can be used in creating code on the fly and using 'DRY' nature a lot while coding.
YSlow is a tool that helps one to analyze the performance of a website. It is available as a browser plugin in Chrome, Firefox, Safari and Opera. It’s also available as a bookmarklet which is ideal for analyzing mobile sites.
This seminar is for QA's to discuss on what and how to use the tool while testing .
Prem Chand Mali of Mindfire Solutions gave a presentation on Apache Hadoop. The presentation introduced Hadoop, describing its history and key components including HDFS and MapReduce. HDFS is Hadoop's distributed file system using NameNodes and DataNodes to store data across commodity hardware. MapReduce provides a programming model for distributed processing of large datasets using a Map and Reduce workflow. The presentation provided overviews of HDFS and MapReduce to explain how Hadoop supports scalable, fault-tolerant distributed computing.
Performance testing interview questions and answersGaruda Trainings
In software engineering, performance testing is in general testing performed to determine how a system performs in terms of responsiveness and stability under a particular workload. It can also serve to investigate, measure, validate or verify other quality attributes of the system, such as scalability, reliability and resource usage.
The document provides information about performance testing using Jmeter 2.6. It discusses what performance testing is and the different types including load/capacity testing, stress testing, volume testing, endurance testing, and spike testing. Load testing is described as the simplest form of performance testing to understand system behavior under an expected load. Bottlenecks can be identified through load testing. Stress testing finds a system's capacity limit. Volume testing checks efficiency by processing huge data amounts. Endurance testing checks if a system can withstand load for long periods. Spike testing suddenly increases load to observe behavior. Pre-requisites for performance testing and load testing tools are also mentioned, with JMeter described as an open source tool that can test various server
Performance testing is used to determine how well a system performs under load. Key aspects include throughput, response time, tuning, and benchmarking. JMeter is a popular tool for load and performance testing. It allows recording tests, inserting timers and controllers, running tests, and analyzing results to identify bottlenecks. Common test types include load testing, stress testing, endurance testing, and volume testing. Performance testing helps ensure an application is scalable, stable, available, serviceable, and responsive under expected and unexpected user loads.
The document introduces performance testing basics and methodology using Oracle Application Testing Suite. It covers types of performance testing like load testing, stress testing, and volume testing. It emphasizes the importance of setting up realistic user scenarios and test scripts. The testing environment should replicate production and use dedicated agent machines to generate load. Performance testing helps identify bottlenecks and determine scalability.
Performance testing ensures that a software system performs well under expected workloads over time by testing aspects like response time, speed, scalability, and stability. It is done to identify bottlenecks and limitations so they can be addressed before public release. There are different types of performance testing like load testing, stress testing, endurance testing and volume testing that evaluate how an application handles different types and levels of usage. The performance testing process involves planning tests, setting up environments, executing tests, verifying results, and retesting as needed.
Performance testing ensures that a software system performs well under expected workloads over time by testing aspects like response time, speed, scalability, and stability. It is done to identify bottlenecks and limitations so they can be addressed before public release. There are different types of performance testing like load testing, stress testing, endurance testing and volume testing that check how an application handles different types and levels of usage. The performance testing process involves planning tests, setting up environments, executing tests, verifying results, and retesting as needed.
This document discusses performance testing and provides information on several related topics:
- It defines performance, load, and stress testing and explains their differences.
- It outlines why performance testing is important, when it should be conducted, and what aspects of a system should be tested.
- The performance testing process is described as involving planning, creating test scenarios and scripts, running tests, monitoring tests, and analyzing results.
- Automated performance testing is presented as more effective than manual testing due to issues with resources, coordination, and repeatability when using human testers.
Automated performance testing simulates real users to determine an application's speed, scalability, and stability under load before deployment. It helps detect bottlenecks, ensures the system can handle peak load, and provides confidence that the application will work as expected on launch day. The process involves evaluating user expectations and system limits, creating test scripts, executing load, stress, and duration tests while monitoring servers, and analyzing results to identify areas for improvement.
Automated performance testing simulates real users to determine an application's speed, scalability, and stability under load before deployment. It helps detect bottlenecks, ensures the system can handle peak usage, and provides confidence that the application will work as expected on launch day. The process involves evaluating user needs, drafting test scripts, executing different types of load tests, and monitoring servers and applications to identify performance issues or degradation over time.
Black-box testing views the program as a black box without seeing code. White-box testing examines internal structure. Gray-box combines black-box and knowledge of database validation. Test scripts are sets of automated instructions. Test suites are collections of test cases or scripts. Stress testing subjects a system to unreasonable loads to find breaking points while load testing uses representative loads.
Different types of software testing include installation testing, usability testing, regression testing, performance testing, and security testing. Installation testing checks that a system is correctly installed and functions properly on a variety of hardware configurations. Usability testing observes users interacting with a product to evaluate ease of use. Regression testing re-executes tests on software that has undergone changes to ensure no new bugs were introduced. Performance testing evaluates how fast a system performs under varying workloads through load and stress testing. Security testing verifies that a system protects against unauthorized access and vulnerabilities.
The most important aspect to release any product or application in the market is to deliver a satisfying user experience. And this can only be achieved when the application performs impeccably. To help understand the ways and means to ensure the same, this PPT will shed light on the essential elements under performance testing. To know more on software performance testing, performance testing, app performance testing, web performance testing, website load testing and performance tuning, go through this presentation and gear up for the upcoming ones.
The document provides an overview of different types of performance testing that can be done using LoadRunner software, including speed tests, contention tests, volume tests, stress/overload tests, fail-over tests, spike tests, and endurance tests. For each type of test, it describes the goal of the testing, examples of what would be tested, and example accomplishments/outcomes. It also provides details on who will teach a course on performance testing with LoadRunner and examples of projects that will be used.
The document provides an overview of various types of performance testing that can be conducted including speed tests, contention tests, volume tests, stress/overload tests, fail-over tests, spike tests, endurance tests, scalability tests, and availability tests. For each type of test, it describes the purpose and provides examples of accomplishments. It also outlines the course topics to be covered related to performance planning, load testing, and tools.
The document provides an overview of performance testing and the JMeter load testing tool. It defines performance testing as testing to determine how a system performs under workload. The main types of performance testing are described as load/capacity testing, stress testing, volume testing, endurance/soak testing, and spike testing. Load testing is the simplest form and aims to understand system behavior under expected load. Bottlenecks can be identified through load testing. Stress testing finds a system's capacity limit. Volume testing checks efficiency processing large data amounts. Endurance testing checks withstanding load over long periods. Spike testing observes behavior under sudden load increases. JMeter is introduced as an open source load testing tool that can test various system types and has user
The document outlines best practices and tips for application performance testing. It discusses defining test plans that include load testing, stress testing, and other types of performance testing. Key best practices include testing early and often using an iterative approach, taking a DevOps approach where development and operations work as a team, considering the user experience, understanding different types of performance tests, building a complete performance model, and including performance testing in unit tests. The document also provides tips to avoid such as not allowing enough time and using a QA system that differs from production.
Performance testing Web Application - A complete GuideTestingXperts
Application Performance testing validates various factors and checks applications to ensure and maintain their reliability and scalability. Leverage TestingXperts Performance testing services to enhance your application performance and such high performing apps are bound to drive more traffic and help spread your brand
Performance testing involves determining how a system performs under a specific workload. Load testing is a type of performance testing that evaluates a system as the number of concurrent users increases to the expected load. JMeter is an open source load testing tool that can be used to simulate many different types of network traffic. It provides various elements like samplers, listeners, timers and controllers that allow building test plans to generate and measure load.
Similar to Getting Started with Apache Jmeter (20)
This case study offers details of a project which involved developing an app to allow people to search for physicians/clinics in specified geographic areas. The app allows the users to rate and share reviews about the physicians they visit, and thus offer a reference point for people wanting to visit the same physicians in the future. For more details on our Health IT capabilities, visit: http://www.mindfiresolutions.com/healthcare.htm
The case study offers details of an app developed to enable its users to design healthy and personalized diet schedules, thus enabling them to keep their body weight under check. The app has features to offer customized solutions for the users. Progress can be monitored by referring to information shared in the form of charts and tables. For more details on other fitness/wellness apps developed by us, visit: http://www.mindfiresolutions.com/mHealth-development-services.htm
The document discusses the benefits of meditation for reducing stress and anxiety. Regular meditation practice can help calm the mind and body by lowering heart rate and blood pressure. Studies have shown that meditating for just 10-20 minutes per day can have significant positive impacts on both mental and physical health over time.
The casestudy offers details on an app developed to record and store readings made by three healthcare devices, which are used to measure healthcare vitals of users at remote locations. The App also has provision to generate different types to reports to facilitate subsequent analyses. For more details on our mHealth app development capabilities,
visit: http://www.mindfiresolutions.com/mHealth-development-services.htm
The project describes how a software platform can advance a very contemporary digital marketing technique of using Influencers to promote brands and services. For more details on our IT services, visit: http://www.mindfiresolutions.com/
This is all about details on High Availability of Applications running in Azure. Would cover on fundamentals of High Availability in Azure and discuss in depth on PaaS (High Availability of Web Role and Worker Role).
There was always embedded device in action, but the missing part was connectivity, intelligence, Knowledge from the data it was collecting. The Internet of Things is the new buzz word in trend. There will more embedded devices, more devices with sensor and more control on the physical process. Then we will see there are lots of thing surrounding us in near future. This is very initial phase of the IoT industry. But we have all the tools to experiment and make the things.
Oracle SQL Developer is an Integrated development environment (IDE) for working with SQL in Oracle databases.By the use of this, one can get an easy access to the Database, along with quick and effective SQL queries.
The introduction of Adaptive Layout in iOS 8 is a big paradigm shift for iOS app designers. When designing ones app, one can now create a single layout, which works on all current iOS 8 devices – without crafty platform-specific code!
Auto Layout is one of the most important system that lets one manage layout of ones application user interface. As we know, Apple supports different screen sizes in their devices, therefore managing application user interface becomes difficult.
LINQPad is a software utility targeted at Microsoft .NET development. It is used to interactively query SQL databases using LINQ.Some one planning to use this tool on the work front can refer to this presentation.
WatchKit is an API that extends Apple's development environment for iOS applications to allow apps / notifications to extend to the Apple Watch product. WatchKit is the Objective-C and Swift framework created by Apple to allow third-party developers to create apps for the Apple Watch ecosystem.
Objective-C is how we’ve built Mac and iOS apps for many years. It’s a huge part of the landscape of Apple Development. And, here comes Swift which is only a year old but with lot of promises and features.
Material Design can be simply explained as good design with the innovation and possibility of technology and science. In Material Design lot of new things were introduced like Material Theme, new widgets, custom shadows, vector drawable s and custom animations. This presentation is all about Material Design in Android.
Dukhabandhu Sahoo gave a presentation on OData, an open protocol for building and consuming RESTful APIs. He began by explaining what OData is and how it differs from SOAP and POX. He then discussed OData server platforms, implementations using WCF Data Services and ASP.NET Web API, and OData querying features like operators and methods. The presentation provided an overview of developing and consuming OData services and APIs.
The document discusses Ext JS MVC architecture. It describes the roles of controllers, stores, and models in MVC. Controllers listen to events and reference components. Stores manage model objects and load data via proxies. Models define fields and contain application data. The presenter also covers component access rules for Ext JS such as using Ext.getCmp() globally or container.query() within a container scope.
This presentation is about a basic Overview of Ext JS framework. Covers the discussion on topics like Understanding Ext JS API, Ext JS component Life cycle,Ext JS Components and Events and Ext JS Layouts etc.
The document provides an overview of Spring Security, an authentication and authorization framework for Java web applications. It discusses what Spring Security is and is not, assumptions about the audience's knowledge, and an outline of topics to be covered, including basic and advanced security configurations, user authentication and authorization, security at the view layer, enabling HTTPS, and protecting against CSRF attacks. The presentation aims to introduce Spring Security and demonstrate how to implement common security features.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
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What are ERP Systems?
An ERP, or Enterprise Resource Planning, system provides your company with valuable information to help you make better decisions and boost your ROI. You should choose an ERP system based on your company’s specific needs. For instance, if you run a manufacturing or retail business, you will need an ERP system that efficiently manages inventory. A consulting firm, on the other hand, would benefit from an ERP system that enhances daily operations. Similarly, eCommerce stores would select an ERP system tailored to their needs.
Because different businesses have different requirements, ERP system functionalities can vary. Among the various ERP systems available, Odoo ERP is considered one of the best in the ERp market with more than 12 million global users today.
Odoo is an open-source ERP system initially designed for small to medium-sized businesses but now suitable for a wide range of companies. Odoo offers a scalable and configurable point-of-sale management solution and allows you to create customised modules for specific industries. Odoo is gaining more popularity because it is built in a way that allows easy customisation, has a user-friendly interface, and is affordable. Here, you will cover the main differences and get to know why Odoo is gaining attention despite the many other ERP systems available in the market.
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3. AGENDA
-Performance Testing and Objectives
-Initial steps before starting the Project.
-Examples of Client Requests and
scenarios.
-Jmeter Installation
-A Basic Jmeter Test
4. Performance Testing
In software engineering, performance testing is in general testing
performed to determine how a system performs in terms of responsiveness
and stability under a particular workload. It can also serve to investigate,
measure, validate or verify other quality attributes of the system, such as
scalability, reliability and resource usage.
Goal is to find Bottlenecks and improve the
User Experience
5. Testing types
Load testing: A type of performance testing conducted to evaluate the
behavior of a component or system with increasing load, e.g. numbers of
parallel users and/or numbers of transactions, to determine what load can be
handled by the component or system
Stress testing: A type of performance testing conducted to evaluate a
system or component at or beyond the limits of its anticipated or specified
workloads, or with reduced availability of resources such as access to
memory or servers
Spike Testing: Spike testing is done by suddenly increasing the number of or
load generated by users - by a very large amount - and observing the
behaviour of the system. The goal is to determine whether performance will
suffer, the system will fail, or it will be able to handle dramatic changes in
load.
6. Volume Testing: Testing where the system is subjected to large
volumes of data
Soak testing: Soak testing, also known as endurance testing, is usually done to
determine if the system can sustain the continuous expected load. During soak
tests, memory utilization is monitored to detect potential leaks. Also important, but
often overlooked is performance degradation. That is, to ensure that the
throughput and/or response times after some long period of sustained activity are
as good or better than at the beginning of the test. It essentially involves applying
a significant load to a system for an extended, significant period of time. The goal
is to discover how the system behaves under sustained use.
Testing types
7. Performance Goals:
->It can demonstrate that the system meets performance criteria.
-->It can compare two systems to find which performs better.
→ It can measure what parts of the system or workload causes the system to perform badly.
Performance Goals and Important terms
Concurrency/throughput
If a system identifies end-users by some form of log-in procedure then a concurrency goal
is highly desirable. By definition this is the largest number of concurrent system users that
the system is expected to support at any given moment. The work-flow of a scripted
transaction may impact true concurrency especially if the iterative part contains the log-in
and log-out activity.
If the system has no concept of end-users then performance goal is likely to be based on a
maximum throughput or transaction rate. A common example would be casual browsing of
a web site such as Wikipedia.
Server response time
This refers to the time taken for one system node to respond to the request of another. A
simple example would be a HTTP 'GET' request from browser client to web server. In terms
of response time this is what all load testing tools actually measure. It may be relevant to
set server response time goals between all nodes of the system.
8. Many performance tests are undertaken without due consideration to the setting of
realistic performance goals. The first question from a business perspective should
always be "why are we performance testing?". These considerations are part of
the business case of the testing
Performance Objectives
→ Reliability: To know how reliable the application is.
→ Determine if the application complies with contracts, regulations, and service level
agreements (SLAs).
→ Detect bottlenecks to be tuned.
→ Assist the development team in determining the performance characteristics for various
configuration options.
→ Provide input data for scalability and capacity-planning efforts.
→ Determine if the application is ready for deployment to production.
→ Review the architecture
→ Review the Test Plan
→ Ask Team Members
9. Questions to ask:
What is our anticipated average number of users (normal load) ?
What is our anticipated peak number of users ?
When is a good time to load-test our application (i.e. off-hours or week-ends), bearing in
mind that this may very well crash one or more of our servers ?
Does our application have state ? If so, how does our application manage it (cookies,
session-rewriting, or some other method) ?
What is the testing intended to achieve?
Initial steps before starting the Project.
Understanding the application is a must. Understanding the Business Scenarios
can really help clear up the mind and aligning with what needs to be done and
how this can be achieved
11. About Jmeter
The Apache JMeter™ desktop application is open source software, a 100%
pure Java application designed to load test functional behavior and measure
performance. It was originally designed for testing Web Applications but has
since expanded to other test functions.
Apache JMeter features include:
Ability to load and performance test many different server/protocol types:
Web - HTTP, HTTPS
SOAP
FTP
Database via JDBC
LDAP
Message-oriented middleware (MOM) via JMS
Mail - SMTP(S), POP3(S) and IMAP(S)
MongoDB (NoSQL)
Native commands or shell scripts
TCP
Complete portability and 100% Java purity .
Full multithreading framework allows concurrent sampling by many threads and
simultaneous sampling of different functions by separate thread groups.
Careful GUI design allows faster Test Plan building and debugging.
12. Jmeter Installation
→ Jmeter is a Java application, so a JRE or SDK first needs to be installed
→ Go to http://jmeter.apache.org/download_jmeter.cgi
→ Download Jmeter, and install by unzipping the .zip or .tgz file in any
directory.
→ Go to jakarta-jmeter Directory (Directory in which the .zip of .tgz file is
unzipped)
→ Type ./bin/jmeter on command prompt(for Unix) or Run bin/jmeter.bat (for
Windows)
→ JMeter is ready to test application.
14. Jmeter Basic test
→ Add Thread Group element
→ Define Number of Users and Ramp up Time
→ Adding Cookie Support
→ Adding Samplers
→ Adding Listeners
16. → Set up proxy in Browser
→ Add Test Script Recorder from in workbench
from Non Test Elements
→ Select Recording Controller/HTTP Test Script
Recorder/Test Plan on Test Script Recorder
Window to tell Jmeter where to Capture results
→ Click Start
→ Perform Action on Application under Test and
see whether Actions are being captured