![]() This tool was used by hackers group Anonymous against many big companies and requested users to participate in the IRC attack. It is one of the most popular DoS attack tools available for Windows, Mac, and Linux. HULK’s generated traffic also bypasses caching engines and hits the server’s direct resource pool. RootĪt the root folder you are going to find a file calld main.HULK is a Denial of Service (DoS) tool used to attack web servers by generating unique and obfuscated traffic volumes. Terraform allows you to write some Infrastructure As Code (IaC), and it's the perfect tool for our little test.Īt this point, I would recommend cloning, as I will go step by step to explain the structure of the project. ![]() In order to do this, we are going to use the favorite tool Doan Duy Hai: Terraform. That's what we want, of course with a variable number of workers. Or if you are more serious, like me, you can have 32c 128Gb Ram with 5Gbps for less than 1 USD / hour Deploying the infra For this, we decided to use Scaleway, a very innovative French hosting provider.įor 0.01 EUR (0.012 USD) per hour, you have 2 cores of a AMD EPYC 7281 16-Core Processor (very nice one), 2GB of Ram, and 200Mbps unlimited. What you want to now, is to split the load between tens/hundreds of servers. You can find all the code of the project on github KalvadTech/locust So right now we are running on a local system, generating 100rps, with 100 users, not bad. You start to generate some load pretty fun. Spawn rate (how many new users spawned/second): 5. ![]() No worries, it's going to be handled in the future.Īnyway, you are now ready to test. Interesting part, I'm on a test computer, and you see the alert about file limit (only 1024). # in the second one, just launch a basic http server Then we can start to bootstrap our system locally: # open 2 terminals However, if your locust scripts are spending most of their CPU time in making HTTP-requests, you are likely to see significant performance gains. This does not necessarily mean that the number of users one can simulate per CPU core will automatically increase 5x-6x, since it also depends on what else the load testing script does. This client is significantly faster, and we’ve seen 5x-6x performance increases for making HTTP-requests. However, if you’re planning to run really large scale tests, Locust comes with an alternative HTTP client, FastHttpUser which uses geventhttpclient instead of requests. Therefore, in many cases, we recommend that you use the default HttpUserwhich uses requests. The reason for this is that requests is a very well-maintained python package, that provides a really nice API, that many python developers are familiar with. Major difference with the example on the official documentation: FastHttpUser Locust’s default HTTP client uses python-requests. Then we just want to create a simple file tasks.py inside the folder import timeįrom locust import HttpUser, task, betweenįrom import FastHttpUser I will not write one more tutorial about locust, as I think the documentation is already good, nevertheless, I will give a base to start from. You sure the price is good? (spoiler, yes, it is).7 min read We decline all responsibility in case of any accidents following the usage of this tool!Ģ weeks ago, we published an article The future of the internet is static! AKA how we scaled to 10 million users in a minute without crashing, and 2 questions were widely asked:.
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