Here's a list of the open source performance testing tools, that will
enable developers to pinpoint issues that might be stopping their
websites from performing the way they intend to!
Performance testing is an integral part of any web developer's routine whenever he/she is down to build some website. Performance testing enables him/her to know if their application is performing up to the mark in conditions of adversities: peak traffic for instance. Once they are aware of the scheme of things, they could then work outy ways to counter any issues that might exist. Here, performance testing tools come in extreme handy.
1.Apache JMeter
Apache JMeter may be used to test performance both on static and dynamic resources. It can also be used to simulate a heavy load on a server, group of servers, network or object to test its strength or to analyse overall performance under different load types.
2.ContiPerf 2
Lightweight testing utility that enables the user to easily leverage JUnit 4 test cases as performance tests eg. for continuous performance testing.
3.curl-loader
Open-source tool written in C-language, simulating application load and application behavior of thousands and tens of thousand HTTP/HTTPS and FTP/FTPS clients, each with its own source IP-address.
4.DBMonster
This tool generates random test data and puts it into SQL database. It helps to test how an application can deal with large database.
5.FunkLoad
Functional and load web tester, written in Python, whose main use cases are: functional testing of web projects, and thus regression testing as well, performance testing by loading the web application and monitoring your servers it helps you to pinpoint bottlenecks, giving a detailed report of performance measurement.
6.Grinder
Java load testing framework that makes it easy to run a distributed test using many load injector machines.
7.HammerDB
Open source database load testing and benchmarking tool for Oracle, SQL Server, TimesTen, PostgreSQL, Greenplum, Postgres Plus Advanced Server, MySQL and Redis.
8.httperf
Tool for measuring web server performance that provides a flexible facility for generating various HTTP workloads and for measuring server performance.
Performance testing is an integral part of any web developer's routine whenever he/she is down to build some website. Performance testing enables him/her to know if their application is performing up to the mark in conditions of adversities: peak traffic for instance. Once they are aware of the scheme of things, they could then work outy ways to counter any issues that might exist. Here, performance testing tools come in extreme handy.
1.Apache JMeter
Apache JMeter may be used to test performance both on static and dynamic resources. It can also be used to simulate a heavy load on a server, group of servers, network or object to test its strength or to analyse overall performance under different load types.
2.ContiPerf 2
Lightweight testing utility that enables the user to easily leverage JUnit 4 test cases as performance tests eg. for continuous performance testing.
3.curl-loader
Open-source tool written in C-language, simulating application load and application behavior of thousands and tens of thousand HTTP/HTTPS and FTP/FTPS clients, each with its own source IP-address.
4.DBMonster
This tool generates random test data and puts it into SQL database. It helps to test how an application can deal with large database.
5.FunkLoad
Functional and load web tester, written in Python, whose main use cases are: functional testing of web projects, and thus regression testing as well, performance testing by loading the web application and monitoring your servers it helps you to pinpoint bottlenecks, giving a detailed report of performance measurement.
6.Grinder
Java load testing framework that makes it easy to run a distributed test using many load injector machines.
7.HammerDB
Open source database load testing and benchmarking tool for Oracle, SQL Server, TimesTen, PostgreSQL, Greenplum, Postgres Plus Advanced Server, MySQL and Redis.
8.httperf
Tool for measuring web server performance that provides a flexible facility for generating various HTTP workloads and for measuring server performance.
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