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Track Errors in Your Python Flask Application with AppSignal

In this article, we'll look at how to track errors in a Flask application using AppSignal. We'll first bootstrap a Flask project, and install and configure AppSignal. Then, we'll introduce some faulty code and demonstrate how to track and resolve errors using AppSignal's Errors dashboard. Let's get started!

Getting Started: Your Ruby On Rails App Hosted On DigitalOcean With AppSignal

Imagine this: you’ve just finished working on your brand new Rails app and have deployed it to a cloud provider like DigitalOcean. Like any developer, you’re very proud of your work but you still have lots of questions, like: Your goal is to provide the best user experience. You want to be notified whenever errors or other important events occur so you can take care of them fast. It would be great to have a setup that automatically monitors your application. Enter AppSignal!

Measuring Node.js Performance in Production with Performance Hooks

In the first part of this series, we toured performance APIs in Node.js. We discussed the capabilities of APIs and how they can diagnose slowdowns or network issues in your Node application. Now, in this concluding segment, we will embark on a practical journey, applying these performance hooks in a real-world scenario. You will understand how to effectively use these tools to monitor and enhance your application's performance. Let's dive in and see these concepts in action!

Tracking Custom Metrics in Python with AppSignal

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.

Track Errors in FastAPI for Python with AppSignal

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.

Two-Factor Authentication Enforcement Now Available On All AppSignal Plans

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.

Introducing AppSignal Business Add-Ons

Introducing the alternative to expensive all-encompassing Enterprise Plans: AppSignal Business Add-ons. With our Business Add-Ons, you only need to pay for the features that matter to you, giving you the additional features your organization needs with the same freedom and flexibility all AppSignal customers enjoy. We currently have two Business Add-Ons on offer: In this blog post, we'll give you a whistle-stop tour of our new Business Add-Ons and explain how to add them to your organization's plan.

AppSignal Expands Monitoring Capabilities with Vector

We're excited to announce AppSignal support for Vector logs and metrics! AppSignal's Vector support allows you to expand your monitoring horizons beyond our standard language integrations, making it possible to leverage AppSignal to both monitor the performance and manage the logs of components of your stack that fall outside a standard application. With Vector, you can use AppSignal to monitor how your databases and Kubernetes clusters perform and metrics from many other sources.