OK threads aren't "BAD" or "GOOD", threads are a tool to be used correctly. Threads are like a data super-highway and all the incorrect uses of them arise from

OK threads aren't "BAD" or "GOOD", threads are a tool to be used correctly. Threads are like a data super-highway and all the incorrect uses of them arise from using them for way to little data. Akin to building a 5 lane highway for 5 cars to pass. A thread has some amazing things of being able to switch an execution very fast (built into things on the CPU level) and memory caching/storing advantages. Aka a thread is meant for a compute heavy task like rendering something, or running a decode in the background, mainly doing heavy math. Threads provide great things but at a cost. just like a highway they cost a lot ( a lot of memory in your ram) and require some maintenance and management (locking mechanisms) The problems with threads arise when people think its ok to use them everywhere for all tasks parallel or async. Example Apache used to start a thread for each connection to server which at that time took 40 MB + .5 sec and this allowed a myriad of attacks on, one of them being slow loris. In java-script if you start a new web worker thread, that's actually a new V8 instance and costs you again a lot in memory and startup time. This "start a thread for everything" was definitely the prevelant thinking in the first decade of 2000, and people were not really thinking about hidden costs. Come along Ryan Dahl with node.js in 2009 and "OMG everyone forgot there are such things as event loops" An event loop is basically a much cheaper single threaded async way of processing events in an event queue, the big idea here was that in most other languages threads waited for any time consuming I/O to network or hard disk and let other threads run in the meantime. Ryan combined the async nature of event loops with async I/O... rightfully a very clever move. (also I/O locks is what often causes thread locks in multi-threaded environments) This allowed the single threaded event loop to never really lock up with any time consuming, but not CPU related task, freeing the CPU to constantly process the event queue, in a way emulating multi-threading on a single thread. Going back to the highway metaphor, this would be more like an elevated city bike path, it cant take heavy trucks (heavy CPU loads) but it can take a huge amount of light processing request and never lock up, freeing up your city streets from bikers and leaving them more free to run the heavy trucks. This is how node js can handle 600k concurent connections - https://blog.jayway.com/2015/04/13/600k-concurrent-websocket-connections-on-aws-using-node-js/ https://blog.jayway.com/2015/04/13/600k-concurrent-websocket... something you would never be able to achieve if u started a thread for each one. basically this is akin to building 1 dense bike path for 600k bikers or building 600k 5 lane highways down each only 1 biker would go. Where node.js falls short is if u give it heavy math tasks, the event loop will lock up. So in my analytics processing server i had a node.js main loop with a bunch of V8 web-worker thread pools, to do the heavy math and statistics, while the main thread just routed requests and served cached data. Another consideration however is memory leaks, threaded environments tend to clean up well after themselves, because if there is a leak in a thread it gets wiped when the thread dies. But node.js is very susceptible to memory leaks. All these things are just tools, you have to learn when to use the right tool for the right job. But i think there are much more pitfalls in building threaded environments then there are using event loops. I got node js concepts within a week or two, however i still struggle with some thread lock concepts even after taking clases, and shit is way harder to debug properly too. Its that high abstract level of thinking that i have a hard time visualizing in my head, and i am never sure that i though EVERY scenario through.