Over a million developers have joined DZone.
{{announcement.body}}
{{announcement.title}}

5 Steps to MeteorJS Monitoring

DZone's Guide to

5 Steps to MeteorJS Monitoring

In this quick tutorial, you'll learn how to quickly measure several key metrics from your code using npm, Node.js, and MeteorJS

· Web Dev Zone ·
Free Resource

Learn how error monitoring with Sentry closes the gap between the product team and your customers. With Sentry, you can focus on what you do best: building and scaling software that makes your users’ lives better.

Meteor is a full-stack JavaScript platform for developing modern web and mobile applications. It includes developer tools, WebSockets, MongoDB integration, and a package manager. Atmosphere.js is the Meteor package manager. Unfortunately, it doesn’t list many Meteor monitoring solutions. Luckily, thanks to the Meteor npm integration, it is possible to use npm packages for monitoring Meteor apps with npm based monitoring solutions, such as SPM for Node.js monitoring.  SPM for Node.js collects key Node.js metrics such as Event Loop, Garbage Collection, CPU, Memory and web services metrics. All metrics are organized in out-of-the-box charts, which can be put on additional dashboards and placed next to performance charts for other parts of the application stack and their logs for doing metric-logs correlations.

Let’s see how to use SPM for Node.js with the Meteor framework.

Step 1: Create SPM App of type „Node.js“

Step 2: Install npm packages

# install SPM agent with meteor npm integration meteor npm i spm-agent-nodejs --save

Step 3: Configure SPM for Node.js agent

# preload spm-agent-nodejs module by setting NODE_OPTIONS environment variable
export NODE_OPTIONS="-r spm-agent-nodejs“
# configure SPM agent for the SPM app by setting SPM_TOKEN environment variable
export SPM_TOKEN=YOUR_SPM_TOKEN

Step 4: Run your Meteor app

# run the meteor app as usual ..
meteor run

Step 5: Check Results in SPM
After a minute or so you should see the performance metrics such as EventLoop Latencies, Memory Usage, Garbage Collection details, and HTTP statistics of your Meteor app in SPM.

Meteor metrics in SPM for Node.js

Once you have all your Node.js metrics you can start to define alert rules and configure ChatOps integrations to be alerted about anomalies in your Meteor app.

The Meteor framework typically uses MongoDB as the database, while caching and SSL termination is often off-loaded to Nginx. If you use Meteor, MongoDB, and Nginx in your stack you may want to have MongoDB monitoring and Nginx monitoring together with Meteor monitoring to cover monitoring for your whole application stack.

What’s the best way to boost the efficiency of your product team and ship with confidence? Check out this ebook to learn how Sentry's real-time error monitoring helps developers stay in their workflow to fix bugs before the user even knows there’s a problem.

Topics:
web dev ,npm ,meteor.js

Published at DZone with permission of

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}