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Five Ways to Use Node.js in the Network | @DevOpsSummit [#DevOps]

It can be used to implement all sorts of DevOpsy* related patterns like Canary Deployments, Blue-Green Deployments, etc.

I once said on stage at Glue that the reason I loved node.js was, quite frankly, that it's a language and with a programming language you can do, well, anything.

But like most things just because you can, doesn't always mean you should. When it comes to business, there absolutely must be valid technical or business reasons why you'd do something like, say, put node.js in the network.

Now I've written in the past about using programmability in the network and specifically about how it can be used to implement all sorts of DevOpsy* related patterns like Canary Deployments, Blue-Green Deployments and Traffic Replication, among others. But today I thought we'd take a look at how you might use node.js in the network to do, well, less deployment pattern architectures and more app-oriented things like Y-axis scalability, error handling  and data scrubbing.

But rather than write a long drawn out discussion I figured you'd much rather flip through a compact presentation complete with simple but descriptive diagrams.

So without further ado, you are welcome to relax, make sure your seat back and computer screen are in their full upright position, and flip through at your convenience "5 Ways to Use Node in the Network."

* Yes, I do do that on purpose. No, no I won't stop.

Read the original blog entry...

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Lori MacVittie is responsible for education and evangelism of application services available across F5’s entire product suite. Her role includes authorship of technical materials and participation in a number of community-based forums and industry standards organizations, among other efforts. MacVittie has extensive programming experience as an application architect, as well as network and systems development and administration expertise. Prior to joining F5, MacVittie was an award-winning Senior Technology Editor at Network Computing Magazine, where she conducted product research and evaluation focused on integration with application and network architectures, and authored articles on a variety of topics aimed at IT professionals. Her most recent area of focus included SOA-related products and architectures. She holds a B.S. in Information and Computing Science from the University of Wisconsin at Green Bay, and an M.S. in Computer Science from Nova Southeastern University.

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