AppSignal gives you error tracking, performance monitoring, host metrics and anomaly detection in one great interface. By developers for developers.
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Based on our record, Ruby on Rails seems to be a lot more popular than AppSignal. While we know about 142 links to Ruby on Rails, we've tracked only 8 mentions of AppSignal. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It’s pretty obvious, why we should monitor the application’s performance. Application Performance Monitoring (APM) tools are helping us with that. I prefer using New Relic and it has no significant alternatives for me. However, you can look at AppSignal, Scout, Datadog. New Relic is a solid monitoring solution, that helps to measure front-end and back-end performance, bottlenecks in database, and customer... - Source: dev.to / 11 months ago
Import { test, expect } from "@playwright/test"; // define a test task called "has expected title" Test("has expected title", async ({ page }) => { // visit the AppSignal home page in the browser await page.goto("https://appsignal.com/"); // retrieve the page title const title = await page.title(); // expect the page title to be equal to the expected string await expect(title).toBe( "Application... - Source: dev.to / almost 2 years ago
Now comes the monitoring part, woo! Monitoring performance indicators in Node.js is very simple. You can opt-in to use the simple internal tools that Node provides, or you can use a fully-fledged tool like AppSignal. - Source: dev.to / about 2 years ago
In this article, we went over the basics of adding instrumentation to an Elixir application. We learned how instrumentation can help us uncover bottlenecks and improve an application's performance. We also saw how AppSignal can help us aggregate and visualize the data we collect. - Source: dev.to / over 2 years ago
The caveman technique is great for a single developer working on an application that hasn't been pushed to production. However, if you have an app in production with live users, you may want to take a look at AppSignal for monitoring your application performance and checking for errors in production. - Source: dev.to / almost 3 years ago
Ruby on Rails open source projects. Contribute and learn at the same time. - Source: dev.to / 3 days ago
Speed of Development: Frameworks such as Django or Rails accelerate the development process. - Source: dev.to / 4 days ago
This ecosystem is fueled by repositories hosting powerful languages, functions, and versatile tools—from backend frameworks like Django and Ruby on Rails to containerization with Docker and distributed version control via Git. Moreover, indie hackers can also utilize open source design tools (e.g. GIMP, Inkscape) and analytics platforms such as Matomo. - Source: dev.to / 6 days ago
Ruby on Rails (RoR) is one of the most renowned web frameworks. When combined with SQL databases, RoR transforms into a powerhouse for developing back-end (or even full-stack) applications. It resolves numerous issues out of the box, sometimes without developers even realizing it. For example, with the right callbacks, complex business logic for a single API action is automatically wrapped within a transaction,... - Source: dev.to / 16 days ago
As it's just you I'd stick with Ruby on Rails 8[1] as you already know it and I think it could realistically easily achieve what you're proposing. There's lots of libraries to for calling out external AI services. e.g. Something like FastMCP[2] From the sound of it that's all you need. I'd use Hotwire[3] for the frontend and Hotwire Native if you want to rollout an app version quickly. I'd back it with... - Source: Hacker News / about 2 months ago
NewRelic - New Relic is a Software Analytics company that makes sense of billions of metrics across millions of apps. We help the people who build modern software understand the stories their data is trying to tell them.
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AppDynamics - Get real-time insight from your apps using Application Performance Management—how they’re being used, how they’re performing, where they need help.
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