The introduction of serverless computing into the world of software development has brought advantages that are very hard to ignore, not only by engineers but also by business leadership. The reason for this is very simple, the idea that you can utilize computing power only when you need it creates a more efficient allocation of hardware and thus reduces the overall running cost of the software. Furthermore, it incentivizes software developers to engineer smaller services that communicate with well-established boundaries, making the design of such applications more scalable and easily understood.
Co-routines, green threads, fibers, user-space threads and more. These are some of the names you might be familiar with if you work with multi-threaded applications. We utilize multi-threading for many different reasons, one such famous example is parallel computing. However, sometimes parallel computing is just not enough, sometimes we simply want our program to perform blocking operations without waiting around doing nothing. Also, we want to do it in an expressive way without unnecessary thread synchronizations.
Cooperative multitasking has been around almost since the dawn of Operating Systems, but it’s been only in the last decade that we started seeing…
To be successful, these tools must rely on accurate real-time data that can be presented at any time within milliseconds. In our stack, we use several micro-services that retrieve the data from various sources, process and store them into our internal representation and finally aggregate and retrieve them for our automation tools, accounting, and end users.
There are three primary services in our application that take care of this:
Increase performance four times and reduce the size of your MongoDB by 83 % with these five suggestions. Go through our optimization experiments and see how we’ve reached these results.
Relational databases have been around for a long time and they have been the primary way to store data in a consistent way. Therefore, there is a lot of information surrounding them. NoSQL databases, on the other hand, have become increasingly popular in recent years. Working with them is initially easier, but becomes more difficult once the data size starts to grow or the structure gets complicated.
One of the…
Backend Developer at ROI Hunter.