The Artillery team should make a better effort at documenting the differences between Artillery open source and the premium product Artillery Pro, and also write something about their intentions with the open source product. Maybe I shouldn't have been so quick to include Drill in the review, seeing as it is both quite new and not yet widely used. Transactions will fail, and the service the target system was supposed to provide will not be available anymore, to some (or all) users. It's like it is mining a Bitcoin between each HTTP request! The list of tools we look at hasn’t changed much. The artillery CLI is easy to wrap in other scripts and integrate with CI/CD systems. Unfortunately, Wrk isn't so actively developed. Artillery is a class of heavy military ranged weapons built to launch munitions far beyond the range and power of infantry firearms. Locust seems to have picked up speed the past year, as it had only 100 commits and one release in 2018, but in 2019 it had 300 commits and 10 releases. It's been around since 2012 so isn't exactly new, but I have been using it as kind of a performance reference point because it is ridiculously fast/efficient and seems like a very solid piece of software in general. You can probably expect any larger or longer test to fail if you're using Siege. If you try enabling HTTP keep-alive it crashes or freezes 25% of the time. Load Tests: Jmeter vs Artillery; What is the cost of a bug? Usually you'll see both things happening, but you might not know why and mistakenly blame the poor target system for the bad and/or erratic performance you're seeing. The Soltam K6 is a 120 mm (4.75 inch) mortar that was developed by Soltam Systems of Israel. I don't like the command line UX so much. The G6-52 self-propelled gun-howitzer is a new artillery system developed by Denel. It was produced by Altyn's producer NII Stali as a commercial version of the Altyn, as the Altyn was made for special force usage and NII Stali did not have the right to sell them. Helping things run smoothly at performance-savvy companies. swapping or thrashing). How efficient are the tools at generating traffic and how accurate are their measurements? When it comes to doing performance testing on your application, the first tool that has probably come to your mind is JMeter. A couple of tools seem unaffected when we change the VU number, which indicates that either they're not using a lot of extra memory per VU, or they're allocating memory in chunks and we haven't configured enough VUs in this test to force them to allocate more memory than they started out with. . In my tests now, I see a 4-5x speedup in terms of raw request generation capability, and that is in line with what the Locust authors describe in the docs also. related to performance/load/etc. Jmeter could do with more frequent releases perhaps? It sure looks that way. The scripting experience with Locust is very nice. Here's the 800-pound gorilla. 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. Why median response times?, you may ask. Remember always check your other options and see what better fits for your project. Or, put another way, the load testing tool will generally report worse response times than what a real client would see. Because Siege is bound to give you a headache if you try doing anything even slightly advanced with it - like figuring out how fast the target site is responding when you hit it with traffic, or generating enough traffic to slow down the target system, or something like that. I wanted something that was multi-core but not too powerful. 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. Monitor CPU and memory usage on both load generation and target sides with some tool like top. // A scenario is a chain of requests and pauses, had a need to test lots of different protocols/apps that only Jmeter had support for, or, you're a Java-centric organisation and want to use the most common Java-based load testing tool out there, or, you want a GUI load testing tool where you point and click to do things, long running tests that collect a lot of results data, ramping up the number of VUs / execution threads. Artillery is a written in Javascript, and using NodeJS as its engine. Performance-wise, they are fairly similar. In short, it is quite feature-sparse. : Stackpole Books.ISBN 0-8117-1493-4.; Zaloga, Steven J., James Grandsen (1984).Soviet Tanks and Combat Vehicles of World War Two, London: Arms and Armour Press. 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. New releases are rare. top to keep track of Nginx CPU usage while testing. Apachebench in that it has no scripting and is primarily used when you want to hit a single, static URL repeatedly. It has for sure set a new bottom record for inefficiency in generating HTTP requests - If you're concerned about global warming, don't use Drill! an API end point that can't do more than X requests/second you'll immediately know that it is due to something on the target side of things, not the load generator side. Python code is slow, and that affects Locust's ability to generate traffic and provide reliable measurements. Just like Jmeter, you can actually define loops and use conditionals and stuff inside the XML config, so in practise you can script tests, but the user experience is horrible compared to using a real language like you can with e.g. When a product developer is satisfied, the product stagnates). The cool thing is that since then, the Locust developers have made some changes and really speeded up Locust. This is unique as all other tools have stayed still or regressed in performance the past two years. The 2B11 has proliferated to other countries primarily as result of the collapse of the Soviet Union. I also like to automate things through scripting. Siege has also been around quite a while - since the early 2000's sometime. 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. If necessary, these heavier guns could be moved by truck, but they were usually pulled by the M4 high-speed tractor. Locust is single-threaded so can't use more than one CPU core, which means that you have to distribute load generation over multiple processes to fully use all the CPU on a multi-CPU server (they should really integrate the master/slave mode into the app itself so it auto-detects when a machine has multiple CPUs and starts multiple processes by default). If I had run Locust in just one instance it would only have been able to generate ~900 RPS. If you see multiple Nginx processes but only one is using a lot of CPU, it means your load testing tool is only talking to that particular worker process. I've avoided Rust because I'm scared I may like it and I don't want anything to come between me and Golang. Some tools collect lots of statistics throughout the load test. Tsung and Artillery also look like they may end up using a ton of memory if you try to scale up the VU level substantially from these very low levels. Vegeta is apparently some kind of Manga superhero, or something. This generally results in a worse user experience, even if the service is still operational. All in all I'd say that Tsung is a useful option if you need to test one of the extra protocols it supports (like LDAP, PostgreSQL, MySQL, XMPP/Jabber), where you might only have the choice between Jmeter or Tsung (and of those two, I much prefer Tsung). Oct 6, 2016 @ 6:35am There are quite a few differences as far as stats ar concerned, but perhaps the most important is that Line artillery takes up combat width. NodeJS libraries can not be used in k6 scripts. Apachebench is fast, but single-threaded. The RPS number is still abysmally low, of course, and like the Artillery FAQ says and like we also see in the response time accuracy tests, response time measurements are likely to be pretty much unusable when Artillery is made to use all of one CPU core. What is k6? Usually, when you run out of memory it will be very noticeable because most things will just stop working while the OS frantically tries to destroy the secondary storage by using it as RAM (i.e. Working on it". if you have to use NodeJS libraries). Unlike e.g. an e-commerce site. 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. Of course, I also remember other things that never happened, so who knows. If you look at the runtime screenshot above, you'll see that it is quite obvious that Vegeta was designed to be run on the command line; it reads from stdin a list of HTTP transactions to generate, and sends results in binary format to stdout, where you're supposed to redirect to a file or pipe them directly to another Vegeta process that then generates a report from the data. Hey used to be named Boom, after a Python load testing tool of that name, but the author apparently got tired of the confusion that caused, so she changed it. 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