![]() ![]() Things get even worse if you have to rebuild your container image each time you add console.log to it. ![]() If you mostly use printf, aka caveman debugging, it can be very difficult to find the right value at the right time. or Node.js, feel free to ping us at reach out via our website!Īll code snippets and settings used in this post can be found in its dedicated GitHub repo. Over time, it's more and more difficult to maintain and update it without breaking anything, so the development cycle may. Let's begin the explanation with the opposite: if you develop a single, self-contained application and keep improving it as a whole, it's usually called a monolith. Google open-sourced it in 2014., Microservices Microservices are not a tool, rather a way of thinking when building software applications. ![]() It's a platform that helps managing containerized workloads and services, and even takes care of scaling. In case you need guidance with Docker, Kubernetes Kubernetes (often abbreviated as K8s) offers a framework to run distributed systems efficiently. While containerization, in general, is a very powerful tool – and here at RisingStack we always start new projects by spinning up the needed infrastructure in a docker-compose.yaml – it can be tricky to reach the enveloped Node process if you don’t know how to do it. In these cases, it is very helpful to know how to attach a debugger to the service.Īccording to the Foundation’s Node.js Developer Survey, half of Node.js users use Docker for development. Most of the time you can be well off running your app on your local machine and use containers only to sandbox your databases and messaging queues, but some bugs will show themselves only when the app itself is containerized as well. ![]() In case you’re wondering: “Why should I acquire this knowledge?” The answer is simple: Node.js is free of locks, so there's no chance to dead-lock any process. In this post, we’ll take a look at how you can debug a Node.js Node.js is an asynchronous event-driven JavaScript runtime and is the most effective when building scalable network applications. ![]()
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