How to Monitor Neo4j-Based Application Performance with Ruxit


How to Monitor Neo4j-Based Application Performance with Ruxit [Community Post]
// Neo4j Graph Database » Neo4j Graph Database

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.]

Over the past few years, Neo4j has become the standard for efficiently modeling graph-based data.

In addition, the use of Node.js in building flexible service infrastructures on top of Neo4j graph databases and serving the necessary HTML and static resources enables developers to build great applications.

As with other technologies, the data model and service design predetermines how well your application performs in production. But what if you’re already running your application in production and you realize that in some cases it’s running slowly?

If your application consists of dozens of different service calls spread over a multitude of HTML and asynchronous JavaScript elements, then such performance bottlenecks are tremendously difficult to find.

In this post I’ll explain how to monitor a sample Node.js application using an underlying graph data model residing in a Neo4j database in real time.

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