Many variables — such as your users' device type and configuration, external hosting services, and third-party libraries — can impact an application's performance. Without a performance monitoring system in place, numerous problems can arise. These issues could even mean that users stop using your application.
Struggling to keep track of key metrics and potential issues in your Hanami application? AppSignal integrates seamlessly with Hanami 2.0 actions to provide action-level insights, making it easier for you to ensure a smooth-running application. In this blog post, you'll learn about the integration between AppSignal and Hanami and how it solves your performance monitoring challenges.
Users prefer an application that runs smoothly and without bugs to one that may have an appealing UI and shiny new features but comes with issues. Application monitoring is critical to the health of your application. With application monitoring, you can stay on top of any errors and ensure your application performs as it should. In this article, we'll cover: Let’s dive straight in!
If you're using Oban for managing background jobs in your Elixir application and want to gain a deeper data-driven understanding of how they perform, you've come to the right place. AppSignal for Elixir now automatically instruments Oban, meaning you can now monitor the performance of your background jobs through an AppSignal Magic Dashboard, which gives you detailed information on queue times, processing times, and notifies you of any exceptions.
NestJS is a popular framework for Node.js that allows you to build efficient and scalable backend applications. With AppSignal, you can monitor your NestJS app with ease and rely on OpenTelemetry to handle third-party instrumentations. AppSignal even provides helper functions to help you build comprehensive custom instrumentations. This article aims to help you get the most out of your AppSignal integration.
After a period of beta testing, we're happy to announce the launch of our latest AppSignal for Node.js package. This package features six new integrations and uses the OpenTelemetry framework for reliable telemetry data collection. OpenTelemetry is an open standard that facilitates the instrumentation of standardized telemetry data collection. AppSignal is committed to using OpenTelemetry in new integrations, and our Node.js integration is the first to use the standard.
AppSignal is a strong supporter of open-source technology. We owe so much of our modern world to the unseen, hard-working software developers who build and maintain the many technologies that make everything from reading this article to sending a message from your phone possible. That's why we're investing in OpenTelemetry, the open-source standard for telemetry data collection, rather than developing our own independent standard.
AppSignal for Elixir now provides out-of-the-box support for Finch. If your Elixir app sends requests to another web app, you're likely already using Finch. We wanted to ensure that AppSignal's analytics provided performance data on a per-request level.
Application teams must understand what their customer experience is like. This is true not only from a general perspective (in terms of usability and responsiveness) but also on a day-to-day, minute-by-minute basis. In particular, when you work with distributed systems, errors are inevitable. Site traffic fluctuates throughout the day, and any one of a system’s dependencies could also encounter an issue at any time.
Today, we're launching ARM support for machines running Alpine Linux. This feature is available for our Ruby and Elixir users! We hope to add support for Alpine Linux ARM to our Node.js package in the future. The ARM CPU architecture is becoming more and more popular. As it powers people's development machines and production servers, we decided to add it to the list of the operating systems we support.
