React has gained popularity recently and is now among the most cherished frontend frameworks ever. React has consistently placed in the top two positions in the State of JS survey for the past five years, which serves as evidence. Additionally, this indicates that more developers than ever are creating projects in React. The React library benefits from the use of boilerplates, which are lines of code that are neutral by design and serve as a natural starting point when developing with any technology.

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.

An Application Programming Interface (API) is the new go-to for businesses looking to connect with customers, partners, and other stakeholders via digital channels. From e-commerce sites to mobile apps, APIs are used to collect and process data and enable interoperability between web applications. As such, learning how to access APIs has become the primary gateway to data-driven products and the main revenue stream for most businesses.

Learn which Google Data Studio dashboards are essential for your ecommerce business according to 25 ecommerce experts.

A memory leak is an unintentional, uncontrolled, and unending increase in memory usage. No matter how small, eventually, a leak will cause your process to run out of memory and crash. Even if you periodically restart your app to avoid this crash (no judgment, I've done that!), you still suffer the performance implications of a memory leak.

As government agencies and organizations look to modernize their technology stacks to keep up with changes in the workforce, aging solutions, and closing contracts, they’ll all set out with a similar process: submit an RFP, review submissions, and choose a vendor. Seems simple enough. But what government CIOs often don’t realize is that requiring proven, specific use cases may be limiting what their new (and likely expensive) technology investment can do for their organization.