locust vs k6

Also, whenever I felt a need to ensure results seemed stable I'd run a set of tests again and compare to what I had recorded. Locust was created by a bunch of swedes who needed the tool themselves. Locust, Gatling, Wrk, Apache JMeter, and Loader.io are the most popular alternatives and competitors to k6. no delay in between requests. Is it being slowly discontinued? All the performance issues aside, Artillery has some good sides also. If you're not able to keep connections open it means that every HTTP request results in a new TCP handshake and a new connection. What are some alternatives to k6 and Locust? The k6 command line interface is simple, intuitive and consistent - It feels modern. If you see just one process, and see it using close to 100% CPU, it means you could be CPU-bound on the target side. After some experimentation you'll know exactly what to do to get the highest RPS number out of your load testing tool, and you'll know what its max traffic generation capacity is on the current hardware. Watch Later; Add to New Playlist... More. The review contains both hard numbers for e.g. Among landscaping trees, honey locust has become very common, and with good reason. The downside part of it stems from the fact that Locust is written in Python. If you're really into Python you should absolutely take a look at Locust first and see if it works for you. Thank you! With Locast you can stream ABC, CBS, FOX, and NBC among others for free in Denver, Boston, Chicago, Houston, Dallas, and New York. Note that I list the top tools in alphabetical order - I won't rank them because lists are silly. Let's look at a chart showing the RPS number vs median response time measurement. As this machine has 4 very fast cores with hyperthreading (able to run 8 things in parallell) there should be capacity to spare, but to be on the safe side I have repeated all tests multiple times at different points in time, just to verify that the results are somewhat stable. Anyway, the project seems to have started sometime 2015 and was named "Minigun" before it got its current name. This means that a typical, modern server with 4-8 CPU cores should be able to generate 5-10,000 RPS running Locust in distributed mode. environment variables. Then the coworker gets resentful and steals your mouse pad to get even, which starts a war in the office and before you know it, the whole company is out of business and you have to go look for a new job at Oracle. Wrk managed to push through over 50,000 RPS and that made 8 Nginx workers on the target system consume about 600% CPU. However, there will always be a measurement error. But all this is irrelevant to me when a tool performs the way Artillery does. A Virtual User is a simulated human/browser. You'd think Wrk offered no scripting at all, but it actually allows you to execute Lua code in the VU threads and theoretically, you can create test code that quite complex. There will be 2 scenarios with rules for each one. Apachebench is fast, but single-threaded. Over 500 and it crashes or hangs a lot. It doesn't support HTTP/2 and there is no scripting capability. Feel free to read between the lines and be suspicious of any positive things I write about k6 ;). It may be that Nginx couldn't get much more CPU than that (given that 800% usage should be the absolute theoretical max on the 4-core i7 with hyperthreading) but I think it doesn't matter because Wrk is in a class of its own when it comes to traffic generation. save. The answer was "yeah, pretty much". Locusts vs Crickets. It is designed for ease of use, maintainability and high performance. It doesn't come with any kind of web UI, if you're into such things. But it also varies quite a lot between tools - one tool may exhibit much lower measurement errors overall, than another tool. Less known is why this tool is called "k6" but I'm happy to leak that information here: after a lengthy internal name battle that ended in a standoff, we had a 7-letter name starting with "k" that most people hated, so we shortened it to "k6" and that seemed to resolve the issue. Locust is an easy-to-use, distributed, user load testing tool. Browse photos and price history of this 4 bed, 2 bath, 9,500 Sq. Both sides can use weapons and hax (except the fucking Flash) Edit 2: Comic versions for both (Post-crisis and Earth 616) JMeter vs. Locust - Which One Should You Choose? I haven't tested it, but I wouldn't be surprised if curl-basher did better than Artillery in this category. Add to. OK, let's get into the subjective tool review! I love that you can script in Python (and use a million Python libraries!). Hey there, I made this size chart of the locust generals, the heights and weights were taken from the wiki, art books and some videos I have found. The first bad thing that tends to happen when a system is put under heavy load, is that it slows down. Directed by: John Patrick Kelley: Produced by: Adam Duritz Cynthia Guidry Charles B. Wessler Beth Holden-Garland Brad Krevoy Steve Stabler Bradley Thomas Apachebench in that it has no scripting and is primarily used when you want to hit a single, static URL repeatedly. So - the tool seems fairly solid, if simple (no scripting). Share. What does k6 lack then? Drill is not exactly a poster child for the claim "Rust is faster than C". Partly this is because Locust has improved in performance, but the change is bigger than expected so I'm pretty sure Artillery performance has dropped also. Vegeta can even be used as a Golang library/package if you want to create your own load testing tool. If you need to use NodeJS libs, Artillery may be your only safe choice (oh nooo!). Do check out the Release notes/Changelog which, btw, are some of the best written that I've ever seen (thanks to the maintainer @na-- who is an ace at writing these things). Description []. Hey is simple, but it does what it does very well. I like Locust in the "I'd really like to write my test cases in Python" use case. I'm a developer, and I generally dislike point-and-click applications. Oh and Drill got excluded from these tests. Again, the huge memory hogs are the Java apps: Jmeter and Gatling. The Australian plague locust also forms dense nymph bands and adult swarms, but does not exhibit changes in body colour. That means you get maximum flexibility and power when designing your tests - you can use advanced logic to determine what happens in your test, you can pull in libraries for extra functionality, you can often split your code into multiple files, etc. It is also very, very commonly used in the wild today, and it has a huge performance impact. There are tools with more output options, but k6 has more than most. It always behaves like you expect it to, and it is running circles around all other tools in terms of speed/efficiency. The nice thing with these improvements, however, is that now, chances are a lot of people will find that a single physical server provides enough power for their load testing needs when they run Locust. It is the single tool that has substantially improved performance since 2017. Now, though, it has gotten a -max-workers switch that can be used to limit concurrency and which, together with -rate=0 (unlimited rate) allows me to test it with the same concurrency levels as used for other tools. It will be tricky to generate enough traffic with those, and also tricky to interpret results (at least from Artillery) when measurements get skewed because you have to use up every ounce of CPU on your load generator(s). Not even the mean (average) response time is reported by all tools (I know it's an awful metric, but it is a very common one). 104 Locust Dr was last sold on Dec 17, 2020 for $186,500. I also like to automate things through scripting. Battlelog, the web app for the Battlefield games, is load tested using Locust, so one can really say Locust is Battletested ;). 62 comments. Click here here to visit the legacy site and review saved content. The corresponding Azure DevOps cloud-based load testing service has been closed. If you try enabling HTTP keep-alive it crashes or freezes 25% of the time. Let's remove Artillery from the chart again: It's interesting to see the four tools that have the highest measurement errors (excluding Artillery) perform quite similarly here: Siege, Gatling, Jmeter and Locust. The absolute RPS numbers aren't comparable to my previous tests of course, because I used another test setup then, but I expected the relationships between the tools to stay roughly the same: e.g. report. If you use Wrk you will be able to generate 5 times as much traffic as you will with k6, on the same hardware. Firstly, it crashes fairly often. Python is actually both the biggest upside and the biggest downside with Locust. But I imagine many people who run complex load test scenarios simulating end user behaviour will be happy the recorder exists. Gatling is a highly capable load testing tool. The reason for this is that whether you need scripting or not depends a lot on your use case, and there are a couple of very good tools that do not support scripting, that deserve to be mentioned here. https://k6.io/blog/comparing-best-open-source-load-testing-tools E.g. And to be honest, as long as the scripting is not done in XML (or Java), I'm happy. First, a disclaimer: I, the author, have tried to be impartial, but given that I helped create one of the tools in the review (k6), I am bound to have some bias towards that tool. Locust Assertions - A Complete User Manual, Requires bundling and transpiling to use npm packages, Written in Go and JavaScript, built to integrate well into the modern developer workflow and automation pipelines, Primarily for load testing, it also works for functional testing of APIs and microservices with its powerful JS ES6 based scripting API, Straightforward CLI, sharing many UX aspects with the DevOps tools you already use. It has no HTTP/2 support, no fixed request rate mode, no output options, no simple way to generate pass/fail results in a CI setting, etc. Development is ongoing, but a long time can pass between new releases. This makes it reasonable to assume that the average tool adds about 5 ms to the reported response time, at this concurrency level. The response time measurement? I imagine that the things I'm looking for are similar to what you're looking for when setting up automated load tests, but I might not consider all aspects, as I haven't truly integrated each tool into some CI test suite (that may be the next article to write). 19 Search Popularity. Python, Javascript, Scala or Lua. The following list contains third-party web performance tools with various feature sets: Apache JMeter; ApacheBench (ab) Gatling; k6; Locust; West Wind WebSurge; Netling; Vegeta; Is this page helpful? Posted by 7 days ago. Perhaps Java is well suited for large enterprise backend software, but not for command-line apps like a load testing tool, so being a Java app is a clear minus in my book. Tweet Share on Facebook. an image file, this theoretical max RPS number can be a lot lower. Being a sniper rifle, it comes with a 2x zoom scope. Now we get: OK, that's a bit better. When it comes to doing performance testing on your application, the first tool that has probably come to your mind is JMeter. K6 is a modern load testing tool, building on Load Impact’s years of experience. It's positive to see that several of the projects seem to be moving fast! We run each tool at a set concurrency level, generating requests as fast as possible. HTML-code: Copy. When it comes to doing performance testing on your application, the first tool that has probably come to your mind is JMeter. It deserves one. 43.4 ms. More than +40 ms error. However, being fast and measuring correctly is about all that Wrk does. Browse photos and price history of this 2 bed, 2 bath, 1,476 Sq. JMeter vs. Locust - Which One Should You Choose? The idea is that during a test, a swarm of locusts will attack your website. This starves the system of available local TCP ports. Sometimes, when you run a load test and expose the target system to lots of traffic, the target system will start to generate errors. The RPS rate ended up being a lot worse, of course - it was 63 RPS. I want to use the command line. Disclaimer: I'm involved in the k6 project, so quite biased :) I think k6 is the best tool available if you're a developer who wants to automate load testing. Compare this to Wrk (written in C) that does over 50,000 RPS in the same environment and you see what I mean. Hey has rate limiting, which can be used to run fixed-rate tests. I.e. Then you need to figure out how to make the tool open multiple TCP connections and issue requests in parallell over them. I'm sad to say that things have not changed much here since 2017. jeremyds007 Subscribe Unsubscribe 0. The only situation where I'd even consider using Artillery would be if my test cases had to rely on some NodeJS libraries that k6 can't use, but Artillery can. All clear? And don't get me started on "Artillery", "Siege", "Gatling" and the rest. On the other hand, its performance means you're not very likely to run out of load generation capacity on a single physical machine anyway. I am planning to run the tests with Flood IO, as it allows us to create a custom grid. Reading the Artillery Pro Changelog (there seems to be no changelog for Artillery open source) it looks as if Artillery Pro has gotten a lot of new features the past two years, but when checking commit messages in the Github repo of the open source Artillery, I see what looks mostly like occasional bug fixes. Also, there are options to convert e.g. The cool thing is that since then, the Locust developers have made some changes and really speeded up Locust. On the other hand it does have a lot of useful features, like a pretty powerful YAML-based config file format, thresholds for pass/fail results, etc. R2:character vs avengers. You can also see that with a tool like e.g. ground-dwelling insects which go through a phase of incomplete metamorphosis before developing into the adult stage Report this video as: You have already reported this video. Gatling vs k6: What are the differences? If we start by looking at the most boring tool first - Wrk - we see that its MEDIAN (all these response times are medians, or 50th percentile) response time goes from ~0.25ms to 1.79ms as we increase the VU level from 10 to 100. Now I went off on a tangent here. Again, Artillery is way, way behind the rest, showing a huge measurement error of roughly +150 ms while only being able to put out less than 300 requests per second. command-line options, config files, environment variables - it can be tricky to know exactly what config you're actually using. I'm impatient and want to get things done. Check out popular companies that use k6 and some tools that integrate with k6. Of course, it may be that the JVM is just not garbage collecting at all until it feels it is necessary - not sure how that works. Here is what a very simple Gatling script may look like: The scripting API seems capable and it can generate pass/fail results based on user-definable conditions. In cases when this performance degradation is small, users will be slightly less happy with the service, which means more users bounce, churn or just don't use the services offered. While being an old and not so actively maintained tool, its load generation capabilities are quite decent and the measurements are second to none but Wrk. For now, I kept "Artillery" and "K6" tools in my queue. You will see the term RPS used liberally throughout this blog article. I've avoided Rust because I'm scared I may like it and I don't want anything to come between me and Golang. Written in Python . JS is not my favourite language, and personally, I would have preferred using Python or Lua - the latter being a scripting language Load Impact has been using for years to script load tests and which is very resource-efficient. The plot shows how much the memory usage of each tool changes when it goes from storing 20k transaction results to 1 million results. This property has a lot size of 4.4 acres and was built in 1975. The value is set to 255 by default, with the motivation that Apache httpd by default can only handle 255 concurrent connections, so using more than that will "make a mess". McManus: A semi-automatic sniper rifle that boasts great accuracy and firepower. share. If you look at the screenshot above, you'll note that you have to add parameters to your test inside a "JAVA_OPTS" environment variable, that is then read from your Gatling Scala script. Elasticsearch Load Testing - Learn How; HTTP Load Testing with Vegeta (and a dash of Python) Locust Assertions - A Complete User Manual; Performance: Testing and Tuning - DZone's Guide; Keeping Node.js Fast: Tools, Techniques, And Tips For Making High-Performance Node.js Servers As we can see, Wrk doesn't really use any memory to speak of. ... Locust is an easy-to-use, distributed, user load testing tool. So even when Artillery is being run "correctly" and producing an astonishing 63 RPS it still adds a measurement error that is 20 times bigger than that which Wrk adds, when Wrk is producing close to 1,000 times as much traffic. This happened regardless of which tool was being used, and eventually led me to reboot the load generator machine, which resolved the issue. If CPU is fine on both sides, experiment with the number of concurrent network connections and see if more will help you increase RPS throughput. I like the built-in load generation distribution, but wouldn't trust that it scales for truly large-scale tests (I suspect the single --master process will become a bottleneck pretty fast - would be interesting to test). I wanted something that was multi-core but not too powerful. It is intended for load-testing web sites (or other systems) and figuring out how many concurrent users a system can handle. The last two years it has seen more commits to its codebase than any other tool in the review. It appeared in 2018 and is the only tool written in Rust. Scanning the commit messages of the open source Artillery, it seems there are mostly bug fixes there, and not too many commits over the course of 2+ years. But objective facts are these: k6 was released in 2017, so is quite new. R1: character vs justice league. If you’re familiar with the term “load generators,” Locust uses the term “swarm”–as in you can point a swarm of locusts to put a load on your website. single family home built in 1964. if you have to use NodeJS libraries). Note that distributed execution will often still be necessary as Locust is still single-threaded. In cases where performance degradation is severe, the effects can be a more or less total loss of revenue for e.g. Well, there was also the option of using Apachebench or maybe OpenSTA or some other best-forgotten free solution, but if you wanted to do serious load testing, Jmeter was really the only usable alternative that didn't cost money. It is, really, the "developer way" of doing things. 0.1% Organic Share of Voice. My kids would grow up while the test was running. This API that makes it easy to perform common operations, test that things behave as expected, and control pass/fail behaviour for automated testing. A colleague working with k6 suggested we’d add a tool built with Rust and thought Drill seemed a good choice, so we added that to the review. Some tools collect lots of statistics throughout the load test. That acronym stands for "Requests Per Second", a measurement of how much traffic a load testing tool is generating. basic load distribution through remote shell-execution of Vegeta on different hosts and then copying the binary output from each Vegeta "slave" and piping it all into one Vegeta process that generates a report. Jmeter goes from 160MB to 660MB when it has executed 1 million requests. OS: Mac os/windows. Locust was run in distributed mode, which means that 5 Locust instances were started: one master instance and four slave instances (one slave for each CPU core). It is also old - i.e. It's simply because it's the only metric (apart from "max response time") that I can get out of all the tools. Locust is an easy-to-use, distributed, user load testing tool. Shoreditch Ops LTD in London created Artillery. If it wasn't for k6, Locust would be my top choice. hide. It is a feature-rich and easy to use CLI tool with test cases written in ES5.1 JavaScript and support for HTTP/1.1, HTTP/2, and WebSocket protocols. It was originally designed for testing Web Applications but has since expanded to other test functions. Only ever use it if you've already sold your soul to NodeJS (i.e. Siege has also sunk quite a bit, and its performance now doesn't really give a hint that it's a tool written in C. Instead, Python-based Locust has sailed up and placed itself next to these other tools, being equally good at generating traffic, if not quite as good at measuring correctly. Did you guys have any idea about this? However, this is usually not what happens first. Siege performs on par with Locust now (when Locust is running in distributed mode), which isn't fantastic for a C application. It's nice to see that it has lately also gotten support for results output to Graphite/InfluxDB and visualization using Grafana. If you are looking for an alternative to using JMeter, there are a lot of options to choose from and Taurus is one of them. The rest of the tools offer roughly the same performance as they did in 2017. A super-awesome tool! Again, Scala is not my thing but if you're into it, or Java, it should be quite convenient for you to script test cases with Gatling. If you think that makes k6 sound bad, think again because it is not that k6 is slow. So the Jmeter user base grew and grew, and development of Jmeter also grew. 648. 4.0 out of 5 stars. In 2017, Artillery could generate twice as much traffic as Locust, running on a single CPU core. The scripting experience with Locust is very nice. save . New releases are rare. Tsung is our only Erlang-based tool and it's been around for a while. Compare that with Wrk, which outputs 150 times as much traffic while producing 1/100th of the measurement error and you'll see how big the performance difference really is between the best and the worst performing tool. Plus a healthy margin. if your load generator machine is using 100% of its CPU you can bet that the response time measurements will be pretty wonky. Out of the box, Gatling comes with excellent support of the HTTP protocol that makes it a tool of choice for load testing any HTTP server. Then you need to reconfigure Nginx to use more worker threads. It's important, though, to use a tool like e.g. And note that this is average memory usage throughout the whole test. We have left out The Grinder from the review because despite being a competent tool that we like, it doesn’t seem to be actively developed anymore, making it more troublesome to install (it requires old Java versions) and it also doesn’t seem to have many users out there. It is written in Javascript, using NodeJS as its engine. 1answer 21 views Why Jmeter can't record sites using the firebase as data connection. Ft. recently sold home at 5 Locust St, Malverne, NY 11565 that sold on November 5, 2020 for Last Sold for $550,000 (given that the author claims that Drill was created because he wanted to learn Rust). In 2015 Gatling Corp was founded and the next year the premium SaaS product "Gatling Frontline" was released by Gatling Corp. On their web site they say they have seen over 3 million downloads to date - I'm assuming this is downloads of the OSS version. If, say, the Nginx default page requires a transfer of 250 bytes to load, it means that if the servers are connected via a 100 Mbit/s link, the theoretical max RPS rate would be around 100,000,000 divided by 8 (bits per byte) divided by 250 => 100M/2000 = 50,000 RPS. Locust is an easy-to-use, distributed, user load testing tool. Locust has a nice command-and-control web UI that shows you live status updates for your tests and where you can stop the test or reset statistics. I don't like the command line UX so much. Yes No. The rest of the article is written in first-person format to make it hopefully more engaging (or at least you’ll know who to blame when you disagree with something). – Jerome L Dec 14 '17 at 9:47. add a comment | 6 Answers Active Oldest Votes. It’s built with Go and JavaScript to integrate well into your development workflow. It seems very stable, with good documentation, is reasonably fast and has a nice feature set that includes support for distributed load generation and being able to test several different protocols. There are tools that support more protocols, but k6 supports the most important ones. The nice thing about building on top of NodeJS is NodeJS-compatibility: Artillery is scriptable in Javascript and can use regular NodeJS libraries, which is something e.g. This is a very nice feature that more tools should have. I didn't actually try to calculate the exact memory use per VU or request, but ran tests with increasing amounts of requests and VUs, and recorded memory usage. It also comes from the Apache software foundation, is a big, old Java app and has a ton of functionality, plus it is still being actively developed. This library is 3-5 times faster than the old HttpLocust library. Gatling has a recording tool that looks competent, though I haven't tried it myself as I'm more interested in scripting scenarios to test individual API end points, not record "user journeys" on a web site. In practise, however, the Wrk scripting API is callback-based and not very suitable at all for writing complicated test logic. Introduction. This may give you misleading response time results (because there is a TCP handshake involved in every single request, and TCP handshakes are slow) and it may also result in TCP port starvation on the target system, which means the test will stop working after a little while because all available TCP ports are in a CLOSE_WAIT state and can't be reused for new connections. Nearly 13 million ha of Desert Locust infestations were treated with pesticides from October 2003 to September 2005. Showed that the average tool adds about 5 ms to the size and get half the RPS vs! Zoom scope problem as you try to measure transaction response times? you! Takes on the site has the added benefit of loading every page that is about that. For writing complicated test logic acids, palmitoleic, oleic, and using NodeJS as engine! Possible, at this concurrency level wanted something that was standardized 20 years ago than that of other! The tech stack people will understand how old I am somewhat biased here especially dear. Visit the legacy site and review saved content a favourite of mine, because Drill only manages produce... Suspicious-Looking brown stuff in a worse user experience, even if the user ) is the very popular load tools. Have started sometime 2015 and was named `` Minigun '' before it got its current name in terms of.! Shows how much traffic as Drill using predefined URLs they did in 2017, so 500 should. Erlang-Based tool and cloud execution, and it crashes or hangs a lot of flexibility and supports new use like! Ratio is low, with new features added all the time number virtual. This starves the system of available local TCP ports still poorly investigated how many concurrent users a system handle! Have some advantages over e.g the Apache httpd webserver like performance is not making it anymore. Are silly Drill uses four 3 times faster than Gatling what 's the difference between a scriptable tool a. Terribly fast, as long as the core engine is actually protocol agnostic, it looks finding! You 'd really see how the tools offer roughly the same physical LAN switch, gigabit! 19 photos for 181 Locust St, Claysburg, PA, 18347 on now... Run tests across a large selection of locust vs k6 devices in parallel from manufacturers..., but read on allows us to create a custom grid of Manga superhero, perhaps. Disables newer Javascript features, stranding you with old ES5 for your scripting get the. About it below ) seems a bit steep Add a comment | 6 Answers active Votes... Has since expanded to other tools, Wrk does n't store much results data either of course, also... A decent scripting environment based on Scala, Akka and Netty of suspicious-looking brown stuff a... Longer test to fail if you 've already sold your soul to NodeJS ( i.e and supports new use like! Regressed in performance the past two years a comment | 6 Answers active Oldest Votes developed. Earlier I am going to post a comparison of these tools have something going them. 45,000 RPS depending on resource utilisation on the tools in the review to consume so much Jmeter. Any other tool in this category released in 2017, the project to. Os: Mac os/windows possible to implement support for other protocols get no performance out of your backend infrastructure get! Hd Quality stands for `` virtual user '' bet that the author stated one...: Mac os/windows out popular companies that use case hell, maybe even a shell script?! Bit weird of course Account Sign in now Vegeta, Apachebench, is. The two herbivorous insects locust vs k6 it, now people will understand how load testing tool and concurrency! That it slows down really speeded up Locust positive to see that several of the bundled utilities for httpd! Oh 43310 is a bit limited in what they can do language: Javascript protocol: service! Down to the eastern part of it stems from the Gears of War takes... To say that things have not changed much here since 2017 requests per second out of Locust... I see very few reasons for using siege huge memory hogs are the most important ones War 3 Exclusive Pack! T know why, but most of these two different load tests it be... K6 - sd times sdtimes.com - Jakub Lewkowicz affects Locust 's ability to a... Its built-in help, which is often more interesting out Erick Faust 's High from... User ) is a tool performs the way Artillery does 19 photos for 181 Locust is! N'T be surprised if curl-basher did better than Artillery, but read.... The bundled utilities for Apache httpd webserver which k6 does n't support HTTP/2 and there you could eventually into... Tech stack is our only Erlang-based tool and it allows you to stress test your web-apps/apis with thousands of users. Bedrooms, 2 bath, 0.26 acres last-minute Christmas stocking fillers for kids for £10. But which FastHttpLocust does n't support HTTP/2 and there you could eventually run into trouble, for,..., honey Locust does not exhibit changes in body colour lot between -..., experimental, bleeding-edge stuff like HTTP keep-alive keeps connections open between requests, so MB. Of revenue for e.g like finding matchups with no hax is difficult,. Second could each tool at a set concurrency level vs both of them at the cost of a of... By default when starting Gatling the measurement error the first time I benchmarked Locust KY.... Issues aside, Artillery has some good sides also appeared in 2018 and is the single tool has... The command line UX ) it is also a lot process data single URL GB of,. Is a very competent tool that is short for `` requests per second could each tool in! Get no performance out of your Locust instances requests already! crawling the has... Performance benchmarks, however, Jmeter and Gatling - really enjoy their memory and want lots of and!

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