We’re happy to announce that the latest npm package for error tracking of your front-end with AppSignal has just been released. For those of you who aren’t really familiar with our error tracking service, we suggest you to take a deeper look into our docs. This was one of the bigger releases, and it includes many improvements and bug fixes. Here’s what we’ve done.
Every JavaScript project starts ambitiously, trying not to use too many NPM packages along the way. Even with a lot of effort on our side, packages eventually start piling up. package.json gets more lines over time, and package-lock.json makes pull requests look scary with the number of additions or deletions when dependencies are added. “This is fine” — the team lead says, as other team members nod in agreement. What else are you supposed to do?
Being a UI developer, I’ve learned one thing: It doesn’t matter how carefully you write your code. Suppose you’ve double-checked that you defined and called all functions the right way or followed all the best practices. Even then you’ll see that a tiny variable can sneak behind and create an error. Now, suppose you find out that for some unknown reason a form validation or submit button isn’t working.
Finding slow JavaScript code can be a tricky problem to solve. Small code changes can have a big impact on the performance of your code. Fortunately, many different approaches can help you nail down the exact source of the problem. In this post, you’ll learn about three methods that’ll bring you the results you’re seeking. You can trust manual code inspection, but that has its disadvantages.
My computer programming teacher had always told me that 10% of our time is spent developing 90% of our application, and the other 90% of our time finishing the last 10% of our project. Even with a good project plan and a concept that makes logical sense, most of our time will be consumed with fixing errors. Moreover, with JavaScript, our application can run without obvious errors preventing it from being run, so we have to employ several techniques to make sure everything is running smoothly.
Breadcrumbs can help you debug client-side JavaScript applications, and are available to all Honeybadger customers as of today. One of the things that makes fixing JavaScript errors so difficult is that everything happens on the client-side. When an obscure error happens in a callback, you often lack the context to reproduce it. If the error is critical, you may even resort to deploying debug code to get more information about the events leading up to it.
My computer programming teacher had always told me that 10% of our time is spent developing 90% of our application, and the other 90% of our time finishing the last 10% of our project. Even with a good project plan and a concept that makes logical sense, most of our time will be consumed with fixing errors. Moreover, with JavaScript, our application can run without obvious errors preventing it from being run, so we have to employ several techniques to make sure everything is running smoothly.
Hello again! Welcome to the finalé of a two-part series of posts on errors in JavaScript. Last time, we took a look into the history of errors in JavaScript — how JavaScript shipped without runtime exceptions, how error handling mechanisms were later added both to the fledgeling web browsers of the day and to the ECMAScript spec, and how they future efforts to standardise these features would be connected to the politics of the browser wars of the late 90’s and 2000’s.
Hello again! It’s a historic week here at AppSignal! This week we released the first version of our new and improved JavaScript error monitoring. Now you can have your front end code, Ruby or Elixir back end code, your hosts, performance, everything monitored in one interface. To celebrate the launch, in a two-part series of posts, we’ll be taking a look at the history of Errors in JavaScript, including how to handle them in your code today.
Good news, everyone! Today, we’re proud to announce the launch of our fully-fledged JavaScript error tracking for your front-end applications. From today, you’ll have even more complete insights into your Ruby and Elixir apps — your back-end errors, performance metrics, host metrics, custom metrics and your front-end errors can now all come together under a single interface.
