Node+JS Interactive

Node.js works best in heavily-I/O-related contexts and often acts as a mediator between many data streams and interfaces. Due to JavaScript’s evented nature, most I/O is performed asynchronously. Especially when our Node.js process is a networked application. If we can measure asynchronous activity in a decoupled way, we can find out where an application is waiting.

This means we can diagnose I/O problems in external infrastructure! This workshop introduced an innovative visualization tool that diagnoses various infrastructural and architectural issues.

Attendees will learn the following:

* How to identify and reduce latency in your servers
* Finding and fixing significant asynchronous bottlenecks
* Using Node.js to identify problems in your server architecture
* How to debug asynchronous behavior
* When (and how) to use development profiling vs APM-based production profiling

Learn to build and deploy cloud native Node.js applications on Kubernetes and OpenShift through a series of hands-on lab examples.

Bring a laptop with the following: http://bit.ly/nodejs-on-k8s#/laptop-setup

This interactive session involves using kubectl, oc, curl, and common command-line tools to interact with Kubernetes APIs. By the end of this lab, you’ll be deploying, scaling, and automating JS-based distributed solutions using containers, Kubernetes, and other popular open source tools for distributed computing.

These examples are designed to show NodeJS developers how to maintain speed and productivity with a container-based development workflow.