How to quick install Red Hat Mobile on Openshift

Introduction

As you may already know, the Red Hat Mobile Application Platform (RHMAP) is available as a self-administered, on-premise, installation as well as a hosted platform. This offers more opportunities for customers to benefit from increased security, flexibility and control over their platform.

Note: This installation is strictly for sandbox demonstration purposes. In the interests of simplicity, it will be running on infrastructure that will not be secure so no confidential data should be stored in this instance.

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Using New Relic in Red Hat Mobile Node.js Applications

Introduction

New Relic is an application-monitoring platform that provides in-depth analytics and analysis for applications regardless of the type of environment where they are deployed, or as New Relic put it themselves:

“Gain end-to-end visibility across your customer experience, application performance, and dynamic infrastructure with the New Relic Digital Intelligence Platform.” – New Relic

You might ask why there’s a use for New Relic’s monitoring capabilities when Red Hat Mobile Application Platform (RHMAP) and OpenShift Container Platform both offer insights into the CPU, Disk, Memory, and general resource utilization of your server-side applications. While these generic resource reports are valuable, they might not offer the detail required to debug a specific issue. Since New Relic is built as an analytics platform from the ground up it is capable of providing unique insights into the specific runtime of your applications. For example, the JavaScript code deployed in Node.js applications is run using the V8 JavaScript engine which has a life-cycle that can have a significant impact on the performance of your application depending on how you’ve written it. Utilizing New Relic’s Node.js module provides a real-time view of V8 engine performance and how they might be affecting the performance of your production application. By using this data, you can refine your application code to reduce memory usage, which in turn can free CPU resources due to less frequent garbage collections. Neat!

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