In this series, we have looked at the "musts" (databases) and "shoulds" (asynchronous jobs, websockets) of a web application. Now we turn to one of the "coulds" (that is nonetheless recommended for scaling businesses): caching. In particular, we mean caching HTML fragments and other snippets of data, as referred to in Rails Guides. We are not concerned with HTTP or SQL query caching. In this part, we'll see how to speed up our Rails app using LiteCache.
Welcome to part two of our series on profiling and optimizing CPU-bound tasks in Node.js! In the first installment, we discussed the complexities of handling CPU-bound tasks in Node.js, shedding light on their impact on runtime performance and exploring various profiling techniques. Once you've used profiling to figure out where the bottleneck in your application is, the next step is to choose the right optimization strategy to obtain an acceptable level of performance for your use case.
SonarQube is an open-source platform that allows you to continuously inspect and measure code quality as you develop your project. It provides static code analysis for code issues, security issues, and code smells in various programming languages, including Swift. This helps development teams maintain and improve code quality by identifying and finding issues in the development lifecycle, if paired with a good testing methodology it can make a difference in your app quality.