We have improved our custom metrics offering with two recent Python releases. In release 1.1.1 of our Python package, we added the add_distribution_value helper, and in version 1.2.0, we added support for minutely probes, so you can measure the distribution of key data points in your Python application. In this blog post, we'll show you how to set up custom metrics in your Python application to gain valuable insights without sifting through logs or querying databases.

When you first try a new library or framework, you are excited about it. However, as soon as you run something on production, things are less than ideal — an error here, an exception there - bugs everywhere! You start reading your logs, but you often lack context, like how often an error happens, in what line, etc. Fortunately, tools such as AppSignal can help. AppSignal helps you track your errors and gives you a lot of valuable insights.

We recently announced AppSignal Business Add-Ons, our alternative to pricy enterprise plans. The add-ons offered HIPAA BAA, Long-Term Log Storage, and Two-Factor Authentication Enforcement for an additional fee. However, after listening to feedback from our customers, we decided that Two-Factor Authentication Enforcement is a core feature that should be available to all organizations on all plans for free.