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By Connor James
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.
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By Aestimo Kirina
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.
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By Aestimo Kirina
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!
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By Amir Tadrisi
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.
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By Connor James
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.
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By Jan Giacomelli
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.
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By Aestimo Kirina
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!
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By Aestimo Kirina
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!
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By Nik Tomazic
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!
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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.
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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.