That is one way you can get an idea as to how many concurrent connections are being processed per second. For example, if you run a load test with 10,000 virtual users, each making a request every 20 seconds (3 requests per minute), then you're making 30,000 requests per minute, which equals 500 requests per second. For more information about instance types, see Instance Types in the Amazon EC2 User Guide for Linux Instances. If you're new to performance testing, one of the first concepts you'll need to grasp is what concurrent users are. For additional commands, e-mail: users-help@httpd.apache.org Re: Getting 5000 concurrent connections and 400 requests per second with Apache [ In reply to ] abhinavbhagwat at gmail The higher this number, the more concurrent users … Number of virtual users = Length of user scenario (in sec) * Number of requests per second required. How to do stress test with Jmeter step by step. If that's not possible, looking at comparable sites can also be helpful. - Then multiply by a "peak multiplier" - most web sites are relatively silent during the night, but really busy around 7PM. 10 queries per second (QPS) per IP address. So why aren't you using them? Selenium Grid Concurrent Execution: How many concurrent browsers per node? For up to 100,000 requests per second most modern servers are fine, but take a note, that there may be issues with NIC (you should choose server hardware wisely - 10 GB NIC recommended) and … For example, if you run a load test with 10,000 virtual users, each making a request every 20 seconds (3 requests per minute), then you're making 30,000 requests per minute, which equals 500 requests per second. However, Hostinger had significant surges in response time, up to 1.5 seconds, with a significant number of requests taking over 1 second to fulfill. All of this usually means you have to make lots and lots of assumptions - so the final number is an indicator at best. Good communication with your dev and web analytics teams is a smart place to start. These bottlenecks could be memory-, CPU-, or network-related. The server still responds to 100 requests per second, but the latency has increased. A lot of companies are migrating away from Python and to other programming languages so that they can boost their operation performance and save on server prices, but there’s no need really. How can I convert this statement to a more measurable characteristic: "hits per second"? Get the best of TechBeacon, from App Dev & Testing to Security, delivered weekly. Asking for help, clarification, or responding to other answers. The server isn't used for anything else for now and the load on it … 9 The App … The more realistic your simulation, the more likely you'll catch bottlenecks that lead to a bad user experience. - How long will a user spend between interactions? How is the Ogre's greatclub damage constructed in Pathfinder? Great! -> Peak load on an application is 10 users per hour and each user on an average spends 10 mins on the website and goes through 10 web pages. We also counted the total number of requests in each 10 minute interval and divided the # of requests by the number of users and then divided by 600 (the number of seconds in 10 minutes) to get the number of requests per second per “concurrent user”. INSPIRE 20 features conversations with 20 execs accelerating inclusion and diversity initiatives. This limit does not apply to streaming inserts. Thanks for contributing an answer to Stack Overflow! The goal is to let the HTTP Client send concurrent requests at the maximum allowed rate which is set by the server, for example, at a maximum rate of 2 requests per second. Images, stylesheets, javascript files etc. In the API Console, there is a similar quota referred to as Requests per 100 seconds per user. If you identify a bottleneck with 5,000 virtual users at six requests per second, it's unlikely that this is a false positive. If you have the expected number of concurrent users and looking to test if your web server can serve a number of a request, you can use the following command. The next-generation of no-silo development. performance load-testing web-application performance-testing. Most modern web apps include dozens of assets. The starting and peak number of virtual users in LoadStorm represent concurrent users or the number of simulated users at a particular point in time. If you want to reason in terms of requests per second and not in terms of concurrent users, consider using constantUsersPerSec(…) to set the arrival rate of users, and therefore requests, without need for throttling as well as it will be redundant in most cases. If you remember the tipping point graph, you will be able to notice it clearly enough above. Each concurrent user will last for the duration of the script. Storing server-side data per user session. For new sites that haven't yet launched, anticipating real user traffic can be difficult. etc etc. Users will be injected at randomized intervals. This is therefore an important metric to watch when trying to increase the number of users executing at the same time. Now let's look at some numbers. The number of simultaneous users is how many are actively being processed by the server, achieved somewhat by running vusers without think time. Figure out what port your server listens to for managing website requests. SolarWinds hack: Who’s to blame? Podcast 302: Programming in PowerPoint can teach you a few things. You estimate as 5 MB and concurrent users = 200, but you neglected to include an estimate of how many requests per second, so I don't know what throughput you require. should be set to cacheable by the browser. Well that's impossible to answer without knowing anything about your app or what it does. We will use a semaphore in C# to limit the Impossible to answer without knowing anything about your app code, database, or responding to other answers need! Many hits all concurrent users vs requests per second your users can get in within one second they are doing are! Concurrent connections are being processed per second problem understanding entropy because of some contrary examples at comparable sites can be! Sites can also be helpful 200 requests per minute, anticipating real user traffic can be.. 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