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.
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.
There’s a function called Enum.map in Elixir that works on multiple collection types, but it's not without its issues. In this post, I will introduce you to a concept from functional programming called a functor. We’ll make a Functor protocol with a function called fmap that will aspire to be a better version of Enum.map. Note: The article is inspired by the Witchcraft library, which we covered in one of our previous posts. But first: what's the problem with Enum.map exactly?
The java.io.EOFException is a checked exception in Java that occurs when an end of file or end of stream is reached unexpectedly during input. This exception is mainly used by data input streams to signal end of stream. Since EOFException is a checked exception, it must be explicitly handled in methods that can throw this exception - either by using a try-catch block or by throwing it using the throws clause.
