![]() So long as we log them and have a proper alerting mechanism, we can handle it (pun intended). Some change causes pain in the form of exceptions. We need to be prepared and have a way to respond. These things happen.īut we don’t have to be derailed if they do. Services we depend on change without notice and cause our programs to freak out. We’d have an ultra-robust piece of software, but it would be released years too late! So, the occasional edge-case exception will happen. We could plan for every exception, but it would add considerable time to our development efforts. Although, some exceptions aren’t predictable and stem from corrupt data. Our code can handle this kind of exception because we are expecting it. For example, there might be trouble with a network connection. Not all exceptions are caused by bugs in our code. We want to log exceptions so we know when our application has an error. Log levels “error” and “warn” will go to stderr when called from the console. Let’s look at each category to get a good sense before we move into the when, where, how, and why. The different levels of logging give us a way to treat log events differently. In the built-in Node.js console log, all logging levels equate to either log or error. Although there’s no general standard, here are common levels of Node.js logging:Įach of these can be loosely correlated with a specific purpose. There are a few key categories of logging to consider, and each has its own purpose. Node.js logging has to be done purposefully. What should I log?ĭeciding what to log is fairly important. To get the insights and value you need from your logs, you need to send them to log management tools for further analysis and reporting. And to do that, we need to log the right things. But you’ll only realize your logs’ value when they’re properly analyzed. Marketers want to track the performance of various features that relate to advertising campaigns.Īnyone with a vested interest in the company can benefit from insights that logs can provide. Product managers and UX designers use logs for planning and design. Operations engineers and developers use logs for debugging. But to kick it off, we’ll briefly cover who uses logs. Later in this post, the “how” section will give insights into using code. In this post, we will talk about the who, what, when, where, how, and why of Node.js logging. By analyzing the data in the logs, we can glean insights, resolve bugs much quicker, and detect problems early and as they happen. From creation to debugging to planning new features, logs support us all the way. Node.js logging is an important part of supporting the complete application life cycle.
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