I ran a campaign of 2000 hits on a site hosted on a fast DigitalOcean server for optimal connectivity, to make sure there wouldn’t be problems on my end. In that sense, they are obviously a much better alternative.Īpparently one of the major features TrafficBot.uk is being used and advertised for is to increase your Alexa rankings. With HitLeap traffic generator, the bot traffic is generated by a massive user base with real, natural residential IPs. Making the traffic obvious as bot traffic, coming from a non-human location. The traffic is purely coming from a network of servers with unnatural IPs.
#Trafficbot uk alternative generator
You can reinvent the wheel by using job queues and micro services and a lot of other distributed systems primitives but.These are my test results and a review of TrafficBot, an automatic traffic generator at TrafficBot.uk - what worked, and what problems I found in 2022. Modern dbms's are much more complicated than that. One primitive way the dbms may do this is to add each incoming transaction to a list and do them one by one sequentially it may be slow but it works. No two transactions can reserve a single seat no matter the timing of them (Consistency in ACID). This transaction either reserves the seat or fails (Atomicity in ACID). You make a transaction that checks that the seat is not already sold and only then would reserve it in the database. Databases are inherently designed to be accessed by multiple actors and uphold some constraints. In web backend this is usually solved by using database management systems (dbms). You solve it by using a synchronization primitive like a mutex. If you go deep enough this turns into multiple actors accessing an exclusive resource and the race condition as the problem. Because while it seemed like a unified operation on our end it was actually several discrete steps. At no point did we choke the server with hanging requests, or step on each other's toes, or cause a duplication error. Mine comes back a failure and I get a suggestion list for alternative shows. Yours comes back successful and so the page renders as a printable receipt. Both load up tasks to get the result of our order.
Both of our web browsers move to the order receipt page. Mine tries after but gets a "too late" result. Yours is performed first and Seat 23 is saved as yours to the DB. So let's put this into your example then. This is why in some UIs, it looks like the page loaded only for it to go through a second bout of loading. Your new task get the results from the database and returns them. Your earlier task gets performed and results are saved to a database. That page then adds a request to the job queue to get the results of your earlier task. When you add the task to the queue and get the response that it was successfully added, you move to the next page. But it does leave a gap - mainly, how do I get the results if I just make a request and then leave? This takes a fraction of the time it would to make a request to do the task and wait around for it to complete and get the results. The server responds if it added it or not. You make an HTTP request which tells the server to add a job to the queue. The way to avoid this is with a job queue. So too many requests means wait times which means timeouts which means errors. But the process of sending a request and getting a response takes up a thread on the server's CPU. Send a request, get a response, let the browser interpret and display the response. The foundation of all web apps is the HTTP request schema. But when combined with a completely separated UI, it becomes a performance booster.
This is a microservice which takes in arbitrary jobs to perform in first come, first served order and operates on each one at a time. So the short answer is a "Job Queue" is used. This is my favorite question ever to answer because it really explains what modern web development is all about - segmentation.
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