Amsterdam, Netherlands
  |  By Damilola Olatunji
CPU-bound tasks can grind your Node.js applications to a standstill, frustrating users and driving them away. You must master the art of profiling your application to pinpoint bottlenecks, and implement effective strategies to resolve any issues. In this guide, we'll explore various techniques to help you identify and fix the root causes of your Node.js performance issues. Let's get started!
  |  By Connor James
AppSignal now supports Solid Cache, giving you the same deep cache performance insights you'd get from other Rails cache stores. In this blog post, we'll give you a quick tour of Solid Cache, and how you can benefit from monitoring your app's cache with AppSignal.
  |  By Roy Tomeij
At AppSignal, our pricing revolves around the number of requests we process for a customer and the number of buckets of logging data we store. After their free trial, customers are offered the most fitting plan for them based on their usage in the previous 30 days. About nine years ago, we noticed that many customers were slowly growing their number of requests, but we kept charging them for the plan they started on.
  |  By Connor James
We've improved our core features to help you debug issues more efficiently and effectively. This article will walk you through the changes we've made to our Error Tracking, Performance Monitoring, Anomaly Detection, and Log Incidents features that enable you to gain the insights you need to dive deep into issues quicker than ever before.
  |  By Roy Tomeij
In late 2012, we were getting somewhere with this unnamed side project that was supposed to replace our overpriced New Relic subscription. If we wanted to tell the world about it, it needed a name. This is a brief history of how we came up with the name, and how we landed Besides being co-founder, I was also "the name guy” at 80beans, the consultancy where AppSignal was born; you know, the person that comes up with fun names and finds out has been squatted.
  |  By Connor James
We're happy to announce that AppSignal now offers monitoring tools for Python projects. AppSignal helps you get the most out of your Python application's monitoring metrics, with additional support for multiple Python frameworks and packages such as Django and Celery. In this article, we'll walk you through some of our core features to show you how to power up your Python application with AppSignal.
  |  By Luismi Ramirez
AppSignal now supports Remix! With insights into the performance of Remix components like loaders and routing, AppSignal helps you refine your Remix application. This blog post will show you how to start monitoring your Remix application using AppSignal.
  |  By Rishabh Rawat
Production bugs slow down velocity and often affect the complete trajectory of your release roadmap. It helps if you have a robust error tracking setup to rely on. In this article, we'll look at how to make tracking errors in your Node.js application more convenient, automated, and safe. Let's begin!
  |  By Kevin Cunningham
Fastify is a cutting-edge web framework for Node.js that offers exceptional speed and efficiency. With its extensible plugin system, support for asynchronous programming, and focus on minimalism, it is an ideal choice for backend developers developing Node.js applications. But even the most performant web applications can encounter issues that are difficult to debug without the proper tools in place. We will explore how to use AppSignal for a Fastify application.
  |  By Connor James
When relying on data from external services, it's important for the retrieval to be accurate and timely. While we may not control how efficiently an external API responds to our requests, we can control how and when we request data from that API. However, over time as your application and the API that serves it change, once efficient requests may turn into bottlenecks.
  |  By AppSignal
He covers installation and setup, how to troubleshoot and fix performance issues, specifically showing a common use-case with N+1 queries. He then shows AppSignal's Sidekiq integration along with its magic dashboard, managing and reporting anomalies, custom instrumentation, and how to handle error reporting.. Here's the timeline.

Made for teams that want to build high quality Ruby and Elixir applications, AppSignal offers amazing insights into errors and performance issues, plus host monitoring and an easy to use custom metrics platform.

AppSignal supports the Elixir language with an Elixir package. The package supports pure Elixir applications and frameworks including Phoenix, Plug & Erlang.

AppSignal supports the Ruby language with a Ruby gem. The gem supports many frameworks and gems including Capistrano, DataMapper, Delayed Job, Grape, MongoDB, Padrino, Rack, Rake, Resque, Ruby on Rails, Sequel, Shoryuken, Sidekiq, Sinatra & Webmachine.

AppSignal now supports Node.js! The package supports pure JavaScript applications and TypeScript applications, and can auto-instrument various frameworks and packages with optional plugins.

AppSignal also has amazing support for catching errors from Front-end JavaScript applications and sending them to AppSignal, including the React, Vue, Angular, Ember, Preact & Stimulus frameworks.

Packed with features:

  • Alerts in your tools: AppSignal integrates with Slack, Flowdock, HipChat, OpsGenie and more.
  • Control your notifications: AppSignal notifies you exactly when you want to. Get the first exceptions per deploy, all of them of never. Set thresholds for performance notifications.
  • Amazing support: We don't do "first line" and "second line" support: you get to speak with a developer, immediately.
  • Send to issue trackers: A single click creates an issue with all the necessary details in your issue tracker of choice.
  • Manage teams and users: Add users to teams and give them access to specific or all, existing and/or new applications you monitor.
  • Focus on design: Developer tools do not need to be complicated and ugly. Our interface is kept clean and easy to use.

Catch errors, track performance, monitor hosts, detect anomalies — all in one tool.