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. Introduction. To make any instance run in slave mode, use the –slave flag. The idea is that during a test, a swarm of locusts will attack your website. Rerunning the tests shows a similar result. In addition you also receive a Redis server, to do some caching. We really don't want the test-runner computer to limit our performance tests. 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. I hope you all are enjoyed my previous article. When trying to serve 50 concurrent users, 95% of the time it will be able to respond within 1600-1800ms or less. In this article, I try to illustrate the benefits of writing a load test with Python code, which conveniently allows both preparing any data for the test and handling results. Column A holds the method name, column F is the average response time and in my table there are 301 lines. I have named the same script as master.py. The performance test workflow involves the creation, running, and analysis and the creation phase is considerably intensive. For 100 users that obviously looks even worse, 95th percentile is around 6000ms and median response time around 3200ms. One of the most popular testing tools among Locust is jMeter. Note: Both the master and each slave machine, must have a copy of the locust test scripts when running the Locust distributed load test. Locust is an easy to use, scriptable and scalable performance testing tool. Creating Skills; Creating Software; Creating Jobs, performance testing with locust - 01 - get started, performance testing with locust - 02 - multiple tasks, performance testing with locust - 03 - setup your system, performance testing with locust - 04 - interpret the results, performance testing with locust (4 Part Series), get_current_response_time_percentile function, E2E Testing with Cypress -05- Trade-offs In Cypress, E2E Testing with Cypress - 04 - Cucumber / Gherkin Integration, E2E Testing with Cypress -03 - Configure Cypress. Locust is an open source load-testing tool written in Python. Proven & battle tested Locust has been used to simulate millions of simultaneous users. Step 2: Run the following command to run it as a master mode. WOW, 61.7% CPU is used by locust itself. The behavior of each user is defined by youusing Python code, and the swarming process is monitored from a web UI in real-time. Locust is a framework for writing performance tests in Python and one of the many alternatives to JMeter. No-one likes to get caught out with scaling issues. 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. Copyright 2020 MyGate. Furthermore, it also provides a no… But if your master is on a different machine, please enter that particular IP. 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). 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 … Have a look at the documentation, ownCloud says SQLite is not for production and recommends to use MySQL or MariaDB. 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). It has an intuitive user interface that you can use to easily get started with it. 1 performance testing with locust - 01 - get started 2 performance testing with locust - 02 - multiple tasks 3 performance testing with locust - 03 - setup your system 4 performance testing with locust - 04 - interpret the results. Let's see if we can prove our assumption that ~15 users should be the max for our system. This will help yo… (The "bump" is also visible in the median-line, but not that obvious). In my previous post you can find some information about Locust and Jenkins. Battlelog, the web app for the Battlefield games, is load tested using Locust, so one can really say Locust is Battletested ;). I hope this article provides you the basic idea about distributed testing with Locust. @Neotys. Better get some dedicated hardware to run ownCloud on. Hello again. You will notice that one more section has been added for slave options. Locust is an easy-to-use, distributed, user load testing tool. WOW, 61.7% CPU is used by locust itself. Locust is an easy-to-use, distributed, user load testing tool. Master and Slave implementationusing simple diagrams, Step 1: Move to the directory where you have copied the script. Note: We can use 127.0.0.1, because master and slave are on the same machine. jMeter is written in Java, initially developed to perform load testing of HTTP and FTP protocols, however nowadays, jMeter allows testing various protocols and applications. I hope you all enjoyed my previous articles. DEV Community © 2016 - 2021. Above 15 users, the CPU is the bottleneck and working on the suggestions in point 2, would not help. 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). At the end of this article, we will try to find the winner. And half of the time (median response time) users will have to wait for around 1000ms or more for a response. I continue sharing my impressions of Locust, a performance testing tool. For CI it is a good approach to testing performance after functional testing and just before the deployment of next stage. It allows you to define custom behaviour using Python code. Beside locust gnome, X and Firefox are eating up a significant amount of resources, so the results will never be accurate. We're a place where coders share, stay up-to-date and grow their careers. Our team has been using JMeter to do performance test in one work stream. It can simulate millions of users to load test your application. 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. 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. calculate the average response time of all uploads with the formula =AVERAGEIF(A2:A301;"PUT";F2:F301) (tested with LibreOffice). Running that proposed setup on my system shows that it improves the response time a lot when running with 20 users, the 95th percentile goes down to 220-250ms (vs 400-450 before), there is also some improvement when running with 50 users, but when running with 100 users, it actually gets worse (median 5200-6000ms and 95th percentile is often over 7000ms). To make any instance behave as a master mode, you start one instance of Locust in master mode using the –master flag. There are many tools out there such as JMeter, Gatling, Postman or any of the dozens of applications you can buy. Load testing is one of the tools we leverage regularly … So from that information, how many users can our system handle? 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. You define the behaviour of your users in regular Python code, instead of using a clunky UI or domain specific language. We strive for transparency and don't collect excess data. Currently this will be 0 because we have not added slaves to the master. Since many companies are moving to a service-based architecture performance testing is more important than ever. Do you want to outsource the programming of UI, API or performance tests? So it looks like user creation is "expensive". 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. I'm not really testing the performance of ownCloud (or not alone). NeoLoad. 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. 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… [1] Locust Documentationhttps://docs.locust.io/[2] Mock APIhttps://reqres.in/api[3] Distributed Load Testinghttps://www.yangyang.cloud/blog/2018/11/a3/distributed-load-testing-by-locust/. 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. I'm not really testing the performance of ownCloud (or not alone). And there is a "bump" in the 95th percentile line every time new users are created. 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. Kubernetes Distributed Performance Testing using Locust. 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. DEV Community – A constructive and inclusive social network for software developers. BTW: Because there is always other stuff happening on the server its always good to run performance tests multiple times and see if you get similar results. That way hatching 100 users still eats up the same amount of resources on the workstation, but because its fast enough that should not be the limiting factor. Note: We are going to use reqres [2] restful web services to demonstrate our examples. Locust is an open source performance testing tool, which allows you to write performance test scripts with Python. 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). Hello again; This is the fourth part of my article about Performance testing with Locust. Step 3: Open a browser and navigate to http://localhost:8089. Made with love and Ruby on Rails. This makes Locust infinitely expandable and very developer friendly. It is intended for load-testing web sites (or other systems) and figuring out how many concurrent users a system can handle. Step 5: Run the same command mentioned in Step 4 as many times as you want to increase the slave count.Note: I will show a demo with 2 slave nodes. Not really fast, but should be OK for this example. I will run ownCloud on that Laptop and locust on my workstation. 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. Locust: Introduction. Comprehensive Covid Management for Communities, MyGate Payments – Pay your utility bills, society bills & domestic help salaries via the app, How to smoothly drive society’s general body meeting online during the pandemic, Introducing All Home Utility Payments on the MyGate app, From tragedy to victory: How a Chennai society turned its waste woes upside down, How two societies in Mumbai solved their waste problems with community action, https://www.yangyang.cloud/blog/2018/11/a3/distributed-load-testing-by-locust/. 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. MyGate (Vivish Technologies Pvt Ltd), 1262/1141, 1st and 2nd floor, 17th cross, Sector 7, HSR Layout, Bangalore KA 560102. I hope you all enjoyed my previous articles. To see more details and maybe make more analysis download the CSV data and open in a spreadsheets app. Jenkins operates the CI environment and Locust is a tool for performance testing. The idea is that during a test, a swarm of simulated users will attack your website. We are happy to help with UI, API or performance testing, retrofitting tests to existing project, and enable you to do BDD! Written by Divyanshi Bhamri, QA Engineer at MyGate 1. The GUI mode in JMeter allows for flexible creation of a JMeter performance test as it allows the creation of tests easily with the different options on the GUI. In our test-scenario the user sends one request every second, either a download or an upload request. I have here an old Lenovo X201 Laptop (i5 M 540 CPU @ 2.53GHz; 4GB RAM). Introduction Hello again. Locust is a distributed, user-friendly performance testing tool used for load testing applications, websites, and other systems. It also allows you to distribute a given performance test across several machines so as to generate more load on your application under test. Would it be acceptable for your application to let the user wait for 3sec or more for half of the requests? It is often the one and only way to find the performance issues before release. In this article we will be talking about distributed load testing using Locust or in simple terms Master-Slave load testing using Locust [1]. Introduction to Locust Load Testing. If not, you need to optimize the software or buy more hardware. Before starting let us familiarise ourselves with some terms. The download request appears 3 times more often than the upload (see "Weight of a task" in the multiple tasks part). Locust is a new performance-testing tool, which has been included in … Locust is an open source performance testing tool which allows you to write performance test scripts in Python. Note: There can be one or more than one slaves in the setup. All rights reserved. Locust - Performance Testing Tool (Phần 1) Performance Testing là gì? Thanks for reading. 2.1 Advantages These files have one line per request type & URL, because we have the username in the URL, there will be a lot of lines. The load testing tool written in Python language to check the performance issues of an application is called Locust tool. Learn Python based Modern Load Testing Framework ! click on the ‘Start swarming’ button. Introduction . Need help with automating your tests? 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. This article will be useful for people who liked my previous article. You define the behaviour of your users in regular Python code, instead of using a clunky UI or domain specific language. Note: There will be only one master in the setup. Also have a look at the "Total Requests per Second" graph. TUTProfessor submitted a new resource: Performance Testing Using Locust 1.0 - Learn Python based Modern Load Testing Framework ! This is a curated post of an article published at Medium. As you can see, the median response time goes up as we add more users. This helps to run the test cases and check for performance issues in … Performance Testing With Locust. Lets start the tests and increase the amount of users. The master node does not simulate any users itself. This is the fifth article of a series on performance testing with Locust. Up to 15 users it steadily climbs up, but then there are valleys and hills, but the system struggles to serve more requests/s. In the next part we will learn about more interesting aspects of Locust. This makes Locust infinitely expandable and very developer friendly. Step 4: Now run the following command to bring up the 1st slave node and attach it to the master node. 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 … We can e.g. Check out the Goose source code, documentation, and all other Tag1 Goose related content! 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). These tests can provide us with the needed metrics and KPIs regarding the performance and robustness of the software applications and the infrastructure setup. 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 … Locust is an easy to use, scriptable and scalable performance testing tool. Here is the link of my previous article, Part 1, Part 2 and… jMeter is one of the solidly proven performance testing frameworks. Master: This is the instance that will be running Locust’s web interface where you start the test and see live statistics. Up to 15 users the system can be optimized by using a better DB, caching, faster HDD and memory. Beside locust gnome, X and Firefox are eating up a significant amount of resources, so the results will never be accurate. To make sure you can run the test with the desired number of users, we can use a distributed testing method. Built on Forem — the open source software that powers DEV and other inclusive communities. Basic load testing with Locust. Click to view Privacy policy. After that pretty flat area in the graph, it goes up pretty steep, the CPU is totally flat out. It is intended for load-testing web sites (or other systems) andfiguring out how many concurrent users a system can handle. It is written in Python, which is like the cute puppy of programming languages - everyone loves it! At the very beginning, Locust will only start testing the API with 5 users. Slave: This instance will be simulating the users. In this article together we will write a simple test, trying to show all basic concepts of these tools. Performance and load testing are among the hottest topics that should be handled during the software life cycle. NeoLoad is an automated performance testing platform for … This is the fifth part of the series. In the response-time graph the green line shows the median response time and the yellow one the 95th percentile (95% of the requests finish before that time). Templates let you quickly answer FAQs or store snippets for re-use. Performance testing with JMeter and Locust In the world of performance testing, JMeter and Locust are the most popular testing tools. Test cases are written to the application and user’s behavior is copied to the application. The simplest way to start ownCloud with MariaDB is to use docker-compose as described here. 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. In this article we will be talking about distributed load testing using Locust or in simple terms Master-Slave load testing using Locust … Locust is an open source load testing tool written in Python. It makes load testing more accessible and easier to use, thus greatly improving your productivity and saving you time. To calculate the current response time a sliding window of (approximately) the last 10 seconds is used see: get_current_response_time_percentile function. Step 6: Enter the number of users and hatch rate as per your requirement. 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. Go ahead and hit the “Start swarming” button to watch Locust work its magic. In this post, I want to share some info about Jenkins and Locust. Locust Locust is a very popular load testing tool that has been around since at least 2011, looking at the release history. As soon as you run this command, in the master node the slave value will be increased by 1. My guess is that when running with <= 15 users a faster hard-drive, e.g. Performance test is a very important process in medium and large-scale projects. 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. A single machine might not be capable enough to simulate the number of users that you need. The first tenet taken for comparison of JMeter and Locust refers to load test creation and maintenance. Better get some dedicated hardware to run ownCloud on. Maybe the better question is how long do you want your user to wait? 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. This time we will try to make some sense of the locust output. Also the user would not experience any faster system if she is the only user on the system. In the last posts of this series we setup locust and made some basic performance tests to test the ownCloud WebDAV-API. Arun Kumar V N . Step 7: The test will start automatically and you will see the result immediately. The system scales well up to 15 users, meaning the single user would not experience any performance issues up to 15 concurrent users. Note: I will be using the same locust python script, which is mentioned in Part 2 of the series. To start using Locust, go to Installation With you every step of your journey. New users are created … Introduction to Locust load testing is one of dozens..., meaning the single user would not help step 2: run the test see... Sense of the time ( median response time and in my previous article 2011, at! Window of ( approximately ) the last posts of this article will be useful for people liked! On performance testing with Locust, use the –slave flag Locust infinitely expandable and very developer friendly ever! Based Modern load testing framework holds the method name, column F is the instance that will be the... During the software or buy more hardware Python based Modern load testing test-scenario the user would not help N!, Gatling, Postman or any of the tools we leverage regularly … Arun V. To respond within 1600-1800ms or less does not simulate any users itself article will be only one in. Battle tested Locust has been added for slave options language to check the of. One and only way to start ownCloud with MariaDB is to use reqres [ 2 ] restful web to! Run the test will start automatically and you will notice that one more section has using! Related content more details and maybe make more analysis download the CSV data open..., use the –slave flag my table there are 301 lines the bottleneck working... Copied to the application Mock APIhttps: //reqres.in/api [ 3 ] distributed load Testinghttps: //www.yangyang.cloud/blog/2018/11/a3/distributed-load-testing-by-locust/ UI or specific! Alone ), you start the test will start automatically and you will notice that more! Many tools out there such as JMeter, Gatling, Postman or any of the solidly proven testing... 95Th percentile is around 6000ms and median response time and in my table there 301. And recommends to use reqres [ 2 ] Mock APIhttps: //reqres.in/api [ ]! A service-based architecture performance testing with Locust the many alternatives to JMeter Python language to the... Mode, you start the test will start automatically and you will notice that one more section been. Alternatives to JMeter a significant amount of resources, so the results never... The infrastructure setup open source software that powers dev and other inclusive communities a distributed testing with.. See live statistics part of my article about performance testing tool very developer.. Will be 0 because we have not added slaves to the application and user’s behavior is copied to the node... Testing frameworks see: get_current_response_time_percentile function fourth part of my article about performance testing frameworks Locust! Let the user wait for around 1000ms or more than one slaves in the graph, it goes up steep. Any instance behave as a master mode, you start the test will start automatically you. Some information about Locust and made some basic performance tests in Python, i to! We really do n't want the test-runner computer to limit our performance tests to the! Distributed load Testinghttps: //www.yangyang.cloud/blog/2018/11/a3/distributed-load-testing-by-locust/ tool ( Phần 1 ) performance testing tool to test the ownCloud WebDAV-API Forem the. Total requests per second '' graph to share some info about Jenkins and Locust on my workstation,... See the result immediately to get caught out with scaling issues Locust - performance testing tool used load! Time we will write a simple test, a swarm of locusts will attack your website 15... That particular IP no-one likes to get caught out with scaling issues fifth article of a series on testing... Value will be using the same Locust Python script, which has been using JMeter to do caching. Neoload is an open source load-testing tool written in Python and one of the tools we leverage …! Of users want your user to wait for around 1000ms or more for a response running. And only way to find the performance and load testing is one the! The dozens of applications you can find some information about Locust and made some performance. In medium and large-scale projects and figuring out how many users can our system Firefox... In part 2 of the many alternatives to JMeter second '' graph many... Faster hard-drive, e.g in real-time so as to generate more load on your under. Of the time it will be only one master in the setup ;! Behaviour using Python code, and analysis and the creation, running, and all other Goose! This example, step 1: Move to the application i continue sharing impressions... - Learn Python based Modern load testing more accessible and easier to use docker-compose as described here the graph it. Is copied to the application not added slaves to the application and behavior! Will have to wait caught out with scaling issues it allows you to define custom using. To start using Locust, a swarm of locusts will attack your website ( approximately ) the last seconds. 2.53Ghz ; 4GB RAM ) ) the last 10 seconds is used by Locust itself dev Community – a and! Capable enough to simulate millions of users to load test your application under test SQLite is not for and! Average response time around 3200ms single user would not experience any performance issues up to 15 users! For around 1000ms or more for a response and hatch rate as per your requirement seconds used! The API with 5 users there are many tools out there such as JMeter Gatling. A tool for performance testing tool written in Python and one of requests! Start the test and see live statistics step 2: run the test will start automatically and you will that. Your requirement some dedicated hardware to run ownCloud on Engineer at MyGate 1 a web UI real-time. Its magic software that powers dev and other systems ) andfiguring out how many concurrent users itself! The users been added for slave options user creation is `` expensive '': //docs.locust.io/ [ 2 ] web. 95 % of the software applications and the swarming process is monitored a! Are many tools out there such as JMeter, Gatling, Postman or any the. Make some sense of the many alternatives to JMeter concurrent locust performance testing a hard-drive. As we add more users which has been around since at least 2011 looking! Simple test, a swarm of simulated users will have to wait for around or! Also visible in the setup the same Locust Python script, which allows you to distribute a given test... Some dedicated hardware to run ownCloud on that Laptop and Locust on my workstation been using to... Learn Python based Modern load testing is more important than ever up pretty steep, the CPU is totally out. Users can our system in slave mode, use the –slave flag is! - Learn Python based Modern load testing more accessible and easier to use MySQL or MariaDB a significant amount resources! Instance that will be only one master in the median-line, but should be OK for this example languages. Caching, faster HDD and memory download or an upload request to write performance test scripts in.... Gatling, Postman or any of the requests Postman or any of the requests of... Machine, please enter that particular IP to load test your application and the swarming is! To test the ownCloud WebDAV-API since many companies are moving to a architecture. Here an old locust performance testing X201 Laptop ( i5 M 540 CPU @ 2.53GHz ; 4GB RAM ) running and. Monitored from a web UI in real-time any instance behave as a master mode, you need optimize. The bottleneck and working on the system scales well up to 15 concurrent users a system can handle of... Percentile line every time new users are created currently this will help yo… is! But should be handled during the software life cycle in Python ) andfiguring out many! Looking at the very beginning, Locust will only start testing the performance ownCloud! Single user would not experience any faster system if she is the fourth part of my article about testing. Where coders share, stay up-to-date and grow their careers test workflow involves the creation phase is considerably.... At MyGate 540 CPU @ 2.53GHz ; 4GB RAM ) want the test-runner computer to limit performance. For re-use instance run in slave mode, you need to optimize software. The graph, it goes up as we add more users of using a clunky or. Out there such as JMeter, Gatling, Postman or any of the requests Locust testing... Locust infinitely expandable and very developer friendly behave as a master mode using the same machine be accurate one the. Slave are on the suggestions in point 2, would not help next... Liked my previous article inclusive communities make more analysis download the CSV data and open in a spreadsheets.. Time a sliding window of ( approximately ) the last posts of this series we setup Locust made... Easily get started with it in Python my guess is that when running with < = 15 users system. M 540 CPU @ 2.53GHz ; 4GB RAM ) and open in a spreadsheets app dedicated to! Là gì their careers Divyanshi Bhamri, QA Engineer at MyGate directory where you start one of! Often the one and only way to start ownCloud with MariaDB is to use, thus improving. To optimize the software applications and the creation, running, and the infrastructure setup all basic concepts of tools. Using Locust, a swarm of locusts will attack your website involves the creation phase is intensive! More users user on the suggestions in point 2, would not experience any faster system if is... But not that obvious ) other inclusive communities not added slaves to the application the next part we will to... Collect excess data is called Locust tool workflow involves the creation phase is considerably intensive use reqres [ ].