Overview

The APM project streamlines the original Kadira APM into a singular Meteor project, making it easier to deploy and manage monitoring solutions. With a configuration tailored for Meteor Up (MUP), users can swiftly set up their APM on any remote server, streamlining the process of application performance monitoring. Though the core features like Slack alerts are operational, this is still a work in progress, inviting community contributions for enhancements.

Deploying the APM can be efficiently handled using Docker or MUP, both of which allow for rapid instance creation. Whether you’re looking to integrate with existing infrastructure or setting up something new, this project provides flexible options for getting started quickly while also emphasizing proper server configurations for optimal performance.

Features

• Easy Deployment with MUP: Deploy your Meteor application effortlessly using the recommended MUP configuration, making setup straightforward for users of all experience levels.

• Docker Compatibility: Deploy an instance quickly in your own environment using Docker, which supports orchestration for better resource management.

• Custom Configuration: Tailor your project by editing the mup.js and settings.json files to suit your specific application requirements.

• Real-time Monitoring: Once deployed, you can see your APM UI populate with data within seconds, giving immediate insight into your application’s performance.

• Alert Integration: Stay informed with integrated Slack alerts to receive immediate notifications about application performance directly in your communication channels.

• Key Server Configuration Notes: A minimum server RAM of 512MB is recommended, with specified public access ports necessary for smooth operation.

• Mongo Replica Set: Automatically set up when using the MUP template, ensuring high availability and redundancy for your APM data.

• User-Friendly Setup Instructions: Comprehensive setup guidelines help users navigate potential configurations, ensuring a seamless deployment experience while minimizing errors.