We've released version 4.0 of the AppSignal gem, which offers significant changes and improvements to our Ruby integration. In this blog post, we'll cover the core updates and explain the steps you need to take before you upgrade.

In the first part of this series, we saw that even if you just use AppSignal’s default application monitoring, you can get a lot of information about how your Phoenix application is running. Even so, there are many ways in which a Phoenix application may exhibit performance issues, such as slow database queries, poorly engineered LiveView components, views that are too heavy, or non-optimized assets.

Most of the time, the default application monitoring metrics, graphs, and visualizations provided by AppSignal will do for your Ruby app. However, you might be the kind of user who likes a bit of control over what is measured, how it’s displayed, and how critical information about your app should be relayed. AppSignal allows you to customize app metrics and dashboards as you wish. In this guide, we’ll learn all about AppSignal's custom metrics, including: And more!

When we observe a slow system, our first instinct might be to label it as failing. This presumption is widespread and highlights a fundamental truth: performance is synonymous with an application's maturity and readiness for production. In web applications, where milliseconds can determine the success or failure of a user interaction, the stakes are incredibly high. Performance is not just a technical benchmark, but a cornerstone of user satisfaction and operational efficiency.

AppSignal's Node.js package now supports monitoring BullMQ jobs. In this article, we'll demonstrate how easy it is to start monitoring BullMQ performance and what insights you can expect to see for your BullMQ jobs in AppSignal.

While building an app with FastAPI can be reasonably straightforward, deploying and operating it might be more challenging. The whole user experience can be ruined by unexpected errors, slow responses, or even worse — downtime. AppSignal is a great tool of choice for efficiently tracking your FastAPI app's performance. It allows you to easily monitor average/95th percentile/90th percentile response times, error rates, throughput, and much more. Useful charts are available out of the box.

AppSignal is a powerful error tracking and performance monitoring tool that can help you maintain reliability and speed in your Elixir applications. In this tutorial, the first of a two-part series, you'll learn how to integrate AppSignal into your Elixir application, configure it for error tracking, interpret error reports, and leverage AppSignal's features to debug and resolve issues.

The widespread adoption of Node.js continues to grow, making it a prime target for XSS, DoS, and brute force attacks. Therefore, protecting your Node application from possible vulnerabilities and threats is crucial. In this guide, we'll uncover common security threats and explore best practices for preventing them. You don't have to be a cybersecurity expert to implement fundamental security measures for your Node.js application. So, are you ready? Let's go!

In the first part of this article series, we deployed a simple Ruby on Rails application to DigitalOcean's app platform. We also hooked up a Rails app to AppSignal, seeing how simple errors are tracked and displayed in AppSignal's Errors dashboard. In this part of the series, we'll dive into how to set up the following for your Ruby on Rails application using AppSignal: Let's get into it!

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!