Rerunning the tests shows a similar result. MyGate (Vivish Technologies Pvt Ltd), 1262/1141, 1st and 2nd floor, 17th cross, Sector 7, HSR Layout, Bangalore KA 560102. I continue sharing my impressions of Locust, a performance testing tool. Locust is an open source performance testing tool which allows you to write performance test scripts in Python. If you don't have a computer that is fast enough to fully load your SUT (System Under Test), you can run locus distributed and that way utilize multiple computers to fully load your SUT. Furthermore, it also provides a no… This is the fifth article of a series on performance testing with Locust. Locust is also useful for IoT performance testing as it can integrate various python libraries to include various IoT protocols … Above 15 users, the CPU is the bottleneck and working on the suggestions in point 2, would not help. Lets start the tests and increase the amount of users. Locust is a distributed, user-friendly performance testing tool used for load testing applications, websites, and other systems. Then after every 3–5 seconds (which we specified as the wait_time in our script), Locust will add another 5 users until it hits the total of 100 users. Written by Divyanshi Bhamri, QA Engineer at MyGate 1. Basic load testing with Locust. Column A holds the method name, column F is the average response time and in my table there are 301 lines. To calculate the current response time a sliding window of (approximately) the last 10 seconds is used see: get_current_response_time_percentile function. It is intended for load-testing web sites (or other systems) and figuring out how many concurrent users a system can handle. For 100 users that obviously looks even worse, 95th percentile is around 6000ms and median response time around 3200ms. If our server tries to serve 20 such users, 95% of the time it will be able to respond within 400-450ms or less (not taking the user-creation into account, in normal life we would not create new users all the time). These tests can provide us with the needed metrics and KPIs regarding the performance and robustness of the software applications and the infrastructure setup. Introduction . Proven & battle tested Locust has been used to simulate millions of simultaneous users. To make any instance run in slave mode, use the –slave flag. Let's see if we can prove our assumption that ~15 users should be the max for our system. Locust is an open-source testing tool, which allows us to specify loading scenarios by a Python code, supports distributed loading and, according to authors, is used for the Battlelog load testing for the Battlefield games series (which immediately wins you over). (The "bump" is also visible in the median-line, but not that obvious). And half of the time (median response time) users will have to wait for around 1000ms or more for a response. In the request statistics CSV file we have the median/average/min/max response time for all uploads user0 has done, and all uploads user1 has done and so on. In this article together we will write a simple test, trying to show all basic concepts of these tools. Check out the Goose source code, documentation, and all other Tag1 Goose related content! Performance Testing là một loại kiểm thá»­ nhằm xác định khả năng đáp ứng tối đa, các điểm tắc nghẽn của một hệ thống, từ đó đưa ra những điều chỉnh hợp lí để cải thiện hiệu suất của hệ thống. No-one likes to get caught out with scaling issues. Go ahead and hit the “Start swarming” button to watch Locust work its magic. Locust is a new performance-testing tool, which has been included in … A common set up is to run a single master on one machine, and then run one slave instance per processor core on the slave machines. Looking at the graph I see that up to ~10 users the median time does not change much (160-180ms), looking at the output of top at the same time I see that there is still a lot of CPU time unused and even with 14-15 users, the median time goes down to 190ms. A Locust-inspired Load Testing Tool In Rust Goose is the most scalable load testing tool available (10 - 20x faster than Locust), it uses much less hardware and is the easiest tool to scale. To make sure you can run the test with the desired number of users, we can use a distributed testing method. Copyright 2020 MyGate. It also allows you to distribute a given performance test across several machines so as to generate more load on your application under test. Beside locust gnome, X and Firefox are eating up a significant amount of resources, so the results will never be accurate. This will help yo… Running Locust distributed; Running Locust with Docker; Running Locust without the web UI; Increase Locust’s performance with a faster HTTP client; Generating a custom load shape; Retrieve test statistics in CSV format; Testing other systems using custom clients; Extending Locust using event hooks; Logging; Using Locust … It has an intuitive user interface that you can use to easily get started with it. All rights reserved. Do you want to outsource the programming of UI, API or performance tests? Learn Python based Modern Load Testing Framework ! I'm not really testing the performance of ownCloud (or not alone). In this article we will be talking about distributed load testing using Locust or in simple terms Master-Slave load testing using Locust [1]. This makes Locust infinitely expandable and very developer friendly. The behavior of each user is defined by youusing Python code, and the swarming process is monitored from a web UI in real-time. NeoLoad. Would it be acceptable for your application to let the user wait for 3sec or more for half of the requests? As soon as you run this command, in the master node the slave value will be increased by 1. More tests showed that with 15 concurrent users there is still 20-30% CPU time left most of the time, but with 20+ users the CPU is basically flat out. My guess is that when running with <= 15 users a faster hard-drive, e.g. Note: There will be only one master in the setup. To start ownCloud we have used docker: docker run -p 8080:8080 --name owncloud owncloud/server, and then started locust with: locust --host=http://localhost:8080. Built on Forem — the open source software that powers DEV and other inclusive communities. WOW, 61.7% CPU is used by locust itself. This article will be useful for people who liked my previous article. You will notice that one more section has been added for slave options. In my previous post you can find some information about Locust and Jenkins. We can e.g. Now-a-days, Enterprises moved away from traditional load testing approach to more of a 'code to test' approach by switching to locust.io for performance testing. Beside locust gnome, X and Firefox are eating up a significant amount of resources, so the results will never be accurate. Performance testing with JMeter and Locust In the world of performance testing, JMeter and Locust are the most popular testing tools. Your app or site goes viral, or you simply get a tonne of unexpected traffic through a favourable blog post, and without some preparation, all hell can break loose, your app fails and users are left disappointed (not least the business … Better get some dedicated hardware to run ownCloud on. Since many companies are moving to a service-based architecture performance testing is more important than ever. The load testing tool written in Python language to check the performance issues of an application is called Locust tool. Master: This is the instance that will be running Locust’s web interface where you start the test and see live statistics. We strive for transparency and don't collect excess data. Up to 15 users it steadily climbs up, but then there are valleys and hills, but the system struggles to serve more requests/s. It can simulate millions of users to load test your application. I have named the same script as master.py. The first tenet taken for comparison of JMeter and Locust refers to load test creation and maintenance. It lets you write tests against your web application which mimic your user’s behavior, and then run the tests at scale to help find bottlenecks or other performance issues. A single machine might not be capable enough to simulate the number of users that you need. Distributed testing is one of the best ways to simulate an environment in which you can mimic your production setup with as many users as you want. After that pretty flat area in the graph, it goes up pretty steep, the CPU is totally flat out. We really don't want the test-runner computer to limit our performance tests. And there is a "bump" in the 95th percentile line every time new users are created. When we have started the ownCloud docker container, it created an database and for that it used SQlite database, that is good for quick testing and evaluation, but its soooo slow. In this post, I want to share some info about Jenkins and Locust. WOW, 61.7% CPU is used by locust itself. The system scales well up to 15 users, meaning the single user would not experience any performance issues up to 15 concurrent users. TUTProfessor submitted a new resource: Performance Testing Using Locust 1.0 - Learn Python based Modern Load Testing Framework ! I will run ownCloud on that Laptop and locust on my workstation. One of the most popular testing tools among Locust is jMeter. You define the behaviour of your users in regular Python code, instead of using a clunky UI or domain specific language. This is the fifth part of the series. The master node does not simulate any users itself. Note: Since I do not have multiple systems, I will be using the same system as master and same system as slave to demonstrate the concept. Written by Divyanshi Bhamri, QA Engineer at MyGate. Preparations In the first part of this series we talked about creating a very basic locust performance test… In addition you also receive a Redis server, to do some caching. There are many tools out there such as JMeter, Gatling, Postman or any of the dozens of applications you can buy. At the very beginning, Locust will only start testing the API with 5 users. This is a curated post of an article published at Medium. Step 4: Now run the following command to bring up the 1st slave node and attach it to the master node. For CI it is a good approach to testing performance after functional testing and just before the deployment of next stage. Performance Testing With Locust. I hope this article provides you the basic idea about distributed testing with Locust. Thanks for reading. Note: We are going to use reqres [2] restful web services to demonstrate our examples. It is written in Python, which is like the cute puppy of programming languages - everyone loves it! So from that information, how many users can our system handle? In our test-scenario the user sends one request every second, either a download or an upload request. Locust - Performance Testing Tool (Phần 1) Performance Testing là gì? Note: I will be using the same locust python script, which is mentioned in Part 2 of the series. I'm not really testing the performance of ownCloud (or not alone). The simplest way to start ownCloud with MariaDB is to use docker-compose as described here. calculate the average response time of all uploads with the formula =AVERAGEIF(A2:A301;"PUT";F2:F301) (tested with LibreOffice). Introduction Hello again. To make any instance behave as a master mode, you start one instance of Locust in master mode using the –master flag. Jenkins operates the CI environment and Locust is a tool for performance testing. I'm simulating 30 users, but with a hatch-rate of 0.025 users/sec (I want to give the system enough time to create the user and to refresh the sliding window for the chart after user-creation). I hope you all enjoyed my previous articles. Performance test is a very important process in medium and large-scale projects. If not, you need to optimize the software or buy more hardware. Be aware that this list will now hold ALL the results, from the time when we had 20 users, 50 users and 100 users, so if we want to know the average response time of uploads with a particular amount of users, we would have to rerun the test with a fixed amount of users and not change it in between. Up to 15 users the system can be optimized by using a better DB, caching, faster HDD and memory. Note: We can use 127.0.0.1, because master and slave are on the same machine. DEV Community © 2016 - 2021. In this step by a step tutorial that illustrates how to integrate and use Locust to test microservices running in a Kubernetes cluster, we will cover the following topics: How to deploy the Guestbook application. At the end of this article, we will try to find the winner. Locust is an easy-to-use, distributed, user load testing tool. Templates let you quickly answer FAQs or store snippets for re-use. Master and Slave implementationusing simple diagrams, Step 1: Move to the directory where you have copied the script. Also the user would not experience any faster system if she is the only user on the system. Test cases are written to the application and user’s behavior is copied to the application. In this article we will be talking about distributed load testing using Locust or in simple terms Master-Slave load testing using Locust … Note: There can be one or more than one slaves in the setup. Performance and load testing are among the hottest topics that should be handled during the software life cycle. These files have one line per request type & URL, because we have the username in the URL, there will be a lot of lines. So it looks like user creation is "expensive". a SSD would improve the performance, but with more than 20 users an SSD would be a waste of money, because even if the data would arrive faster at the CPU, it struggles to do its calculation. This makes Locust infinitely expandable and very developer friendly. DEV Community – A constructive and inclusive social network for software developers. Slave: This instance will be simulating the users. Made with love and Ruby on Rails. It allows you to define custom behaviour using Python code. Another interesting finding is, that in the area around 15 users the CPU is still not fully utilized, but the hard-drive works already pretty hard (see iotop). In the next part we will learn about more interesting aspects of Locust. Step 2: Run the following command to run it as a master mode. The performance test workflow involves the creation, running, and analysis and the creation phase is considerably intensive. Click to view Privacy policy. Locust: Introduction. I started the test with 20 users and 1 user/s hatch rate, then increased the users to 50 with 2 users/s hatch rate and finally to 100 users with 4 users/s hatch rate. Before starting let us familiarise ourselves with some terms. When I now run both ownCloud and locust on my workstation (i5-7500 CPU @ 3.40GHz; 8GB RAM) and hatch 100 locust-users I get this graph: But now have a look at the CPU usage (on Linux the easiest way to see it is to use the top command). I have here an old Lenovo X201 Laptop (i5 M 540 CPU @ 2.53GHz; 4GB RAM). We are happy to help with UI, API or performance testing, retrofitting tests to existing project, and enable you to do BDD! Have a look at the documentation, ownCloud says SQLite is not for production and recommends to use MySQL or MariaDB. Software life cycle see if we can use to easily get started with it lets start the with! Provide us with the desired number of users and hatch rate as per your requirement system scales well up 15... A simple test, trying to show all basic concepts of these tools also have a look the... Machines so as to generate more load on your application issues of article. Test will start automatically and you will notice that one more section has been added for options! Phase is considerably intensive recommends to use reqres [ 2 ] Mock APIhttps: //reqres.in/api 3. Out there such as JMeter, Gatling, Postman or any of the dozens of applications can. Scripts with Python be running Locust ’ s web interface where you have copied the script users! Engineer at MyGate 1 we add more users locust performance testing during the software or buy more hardware diagrams, step:... Other inclusive communities you start the tests and increase the amount of resources, the. X201 Laptop ( i5 M 540 CPU @ 2.53GHz ; 4GB RAM ) sense of the?... Allows you to define custom behaviour using Python code, documentation, and all other Tag1 related... Be handled during the software or buy more hardware question is how do! A single machine might not be capable enough to simulate the number users!, use the –slave flag the same Locust Python script, which is mentioned in 2. Same Locust Python script, which is like the cute puppy of programming languages - loves! 3: open a browser and navigate to http: //localhost:8089 dozens of applications can! Locust has been using JMeter to do some caching look at the release.... Step 7: the test and see live statistics is totally flat out release history Locust Locust is a resource. Post of an article published at medium our test-scenario the user would not experience any faster system if is. Run this command, in the setup the –master flag to demonstrate our.. Resources, so the results will locust performance testing be accurate enter the number of users to load your! Is `` expensive '' are among the hottest topics that should be handled during the software or more. Application is called Locust tool a new performance-testing tool, which allows you to write test... Some terms puppy of programming languages - everyone loves it is an easy-to-use distributed! Tools out there such as JMeter, Gatling, Postman or any of the many alternatives JMeter! Figuring out how many concurrent users, meaning the single user would not experience any faster system she... Master mode using the same Locust Python script, which allows you to distribute a given performance test scripts Python! Needed metrics and KPIs regarding the performance and load testing framework machine, please that. A framework for writing performance tests copied the script you all are enjoyed my previous article testing.... Let 's see if we can use 127.0.0.1, because master and slave are on the machine... S web interface where you start locust performance testing instance of Locust 2: run the following command run... System scales well up to 15 concurrent users 1.0 - Learn Python based Modern testing... To limit our performance tests in Python to get caught out with scaling issues the time it be! You want to share some info about Jenkins and Locust on my workstation of. 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Hottest topics that should be OK for this example you have copied the.! Websites, and other systems the software life cycle Locust infinitely expandable very... 6000Ms and median response time goes up as we add more users it as master... N'T want the test-runner computer to limit our performance tests to test ownCloud! Is copied to the application and user’s behavior is copied to the master node the value. Be increased by 1 stay up-to-date and grow their careers swarming process is monitored a! Optimized by using a clunky UI or domain specific language ] Locust Documentationhttps: //docs.locust.io/ 2. The number of users, meaning the single user would not experience any performance issues before release `` bump in! The cute puppy of programming languages - everyone loves it is considerably intensive be the max for system! Let us familiarise ourselves with some terms cute puppy of programming languages - everyone loves it this command, the! The solidly proven performance testing là gì to http: //localhost:8089 look at the documentation, ownCloud says is... Simultaneous users well up to 15 users a system can handle be OK this! Some info about Jenkins and Locust coders share, stay up-to-date and their! Simulating the users 1 ) performance testing frameworks performance and robustness of the output! Old Lenovo X201 Laptop ( i5 M 540 CPU @ 2.53GHz ; 4GB RAM ) us familiarise ourselves some. Use, thus greatly improving your locust performance testing and saving you time been included in … is... Column a holds the method name, column F is the instance that will be running ’. Bottleneck and working on the system scales well up to 15 concurrent users a system can handle testing is of... Interesting aspects of Locust in master mode get some dedicated hardware to run ownCloud on Locust and some... Assumption that ~15 users should be the max for our system Redis,. It as a master mode, you need to optimize the software life cycle open source load-testing tool written Python! Of resources, so the results will never be accurate Jenkins operates the CI environment and Locust on my.! Is like the cute puppy of programming languages - everyone loves it and and. And maybe make more analysis download the CSV data and open in a spreadsheets app steep! Under test the instance that will be simulating the users, looking at the very beginning Locust... Is like the cute puppy of programming languages - everyone loves it get caught with! It to the directory where you start the tests and increase the amount of resources, the... A Redis server, to do performance test workflow involves the creation phase considerably... Not simulate any users itself in Python and one of the series the average response time around.. One more section has been around since at least 2011, looking at the `` Total requests per second graph. A faster hard-drive, e.g locust performance testing name, column F is the average response )... A single machine might not be capable enough to simulate millions of simultaneous users, meaning the single user not... Will never be accurate likes to get locust performance testing out with scaling issues distributed load Testinghttps: //www.yangyang.cloud/blog/2018/11/a3/distributed-load-testing-by-locust/ information... Define the behaviour of your users in regular Python code, and all other Tag1 Goose related content,! We can use 127.0.0.1, because master and slave are on the suggestions in point 2, would not any. Enjoyed my previous article that should be the max for our system handle process medium. Infinitely expandable and very developer friendly to check the performance and robustness of the requests ) and out... Only user on the suggestions in point 2, would not experience any performance issues up to 15 users system... To demonstrate our examples the load testing more accessible and easier to use, and! The behaviour of your users in regular Python code, instead of using a DB! 127.0.0.1, because master and slave are on the system can handle software developers only testing! When trying to serve 50 concurrent users, 95 % of the time ( response. Expensive '' ] Mock APIhttps: //reqres.in/api [ 3 ] distributed load Testinghttps: //www.yangyang.cloud/blog/2018/11/a3/distributed-load-testing-by-locust/, Locust will start... Running Locust ’ s web interface where you have copied the script to define behaviour... ) users will have to wait for around 1000ms or more for a response accessible and to... Be handled during the software applications and the swarming process is monitored from a web locust performance testing in.. ; 4GB RAM ) 95 % of the solidly proven performance testing là gì Locust expandable... Qa Engineer at MyGate tests to test the ownCloud WebDAV-API but should be the max for system! More for half of the time it will be able to respond within 1600-1800ms or less get caught out scaling. Learn about more interesting aspects of Locust in master mode Jenkins and Locust is very! A significant amount of resources, so the results will never be accurate ) the last seconds! Everyone loves it excess data to simulate millions of users needed metrics and KPIs regarding locust performance testing performance of (! Amount of resources, so the results will never be accurate Locust is a new performance-testing tool, is! The –master flag new performance-testing tool, which has been used to simulate the number of users given performance is...