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.
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.
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 appsignal.com. 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 the.com has been squatted.
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.
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.
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!
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.
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.
While a GraphQL API may be less susceptible to the common REST API performance issues of under and over-fetching data, allowing users to request and receive a wide range of data in a single, nestable query can also come with performance risks. AppSignal for Elixir now supports Absinthe out of the box, and automatically adds Absinthe spans to your app's metrics. AppSignal also automatically instruments Ecto, giving you insights into your application's queries.
Want to monitor all of your application's services? Our Standalone Agent allows you to monitor processes our standard integrations don't monitor by default, helping you effortlessly expand your monitoring capabilities. To help simplify the process of configuring our standalone agent, we're excited to announce the launch of our Standalone Agent's Docker image, available on Docker Hub under the name appsignal/agent.
