In my experience consulting the past few years, one thing has become clear: everyone struggles with scaling their SSR apps, no matter the chosen framework. SSR is expensive — running a lot of code intended for the browser, on the server, to pre-generate markup. Lately, web frameworks have been making strides in improving things, Solid.js being a great example of fast, performant SSR.
The usage of resources is one of the critical factors in IoT contexts; it is common to observe that devices can suddenly disconnect when their available resources are exceeded; monitoring, however, can be worse due to the additional resource consumption required for such tracking.
We all know the joke about how node_modules is the heaviest object in the universe. For example, a project that uses only fastify, knex, typescript, and uuid generates an 83MB node_modules folder! That's huge! And those four packages are far from a complete set for a relatively small back-end. A more realistic size for node_modules is north of 100MB, in some cases reaching 1GB.
Amazon's Elastic Beanstalk makes it easy to deploy and scale your applications with load balancing, health monitoring, and auto-scaling. In this tutorial, you'll learn how to deploy a Node JS application with AWS Elastic Beanstalk.
Choosing the right tool for a web application can be tricky. But if you do, it will make things a lot easier for you. Depending on your application, combining Node.js and MongoDB works well most of the time — especially if you use a front-end framework like React (MERN), Angular (MEAN), or Vue (MEVN). In this tutorial, you will learn how to create a CRUD application using Node.js and MongoDB and write some basic tests for your Node.js API.
Complex modern systems are the new reality for infrastructure teams, and this is due to the evolution of Cloud Computing and working with Distributed systems, containerization, and microservices by default. The teams now have different infrastructures and virtual services with which they must take care of scalable, reliable, and performative applications.
N|Solid provides unparalleled performance and security monitoring for various deployments and team sizes. You can configure the N|Solid Console to notify you when new vulnerabilities are found in your applications. DevOps professionals looking after applications running in production can be notified of performance and security issues earlier and then collaborate wherever they want (Slack, Microsoft Teams, email, etc.) to resolve them.
The ability to establish communication between your browser and the servers is now possible due to WebSocket libraries. It enables you to send messages to that server and receive event-driven responses in return. Even without checking with the server for updates. Additionally, some developers choose to use the WebSocket libraries' APIs. This is done to provide asynchronous communication between the server and your browsers.
NCM —NodeSource Certified Modules— is the secure, reliable way to take advantage of the massive ecosystem of Node.js packages. Certified modules are compatible with Node LTS and monitored continuously to identify risk over time. Certification guarantees no security vulnerabilities or unverified code in modules or dependencies and is easy to set up and manage. No workflow changes are required.
One of the first needs of developers is debugging memory-based issues in Node.js applications quickly and effectively. Still, before we jump right into the Heap Snapshot concept, it's essential to understand what a memory leak is. A basic definition that I would apply in this context is: Memory leaks are quite common in production applications. Fortunately, they usually aren't difficult to find.
