jump to navigation

Governance for IoT, Hybrid Cloud, and Microservices January 8, 2016

Posted by Marty Wolfe in cloud, Hybrid Cloud, infrastructure, Netcentric, SOA, Uncategorized.
Tags: , , , , , , ,
add a comment

Back in June 2015, I described an approach to managing and governing a Hybrid Cloud environment.  It really is the last thing we think about. Just deploy a bunch of applications and data “into the Cloud” (whatever that means.. well it usually means “off premise” or “somewhere else other than in the data centers I have been using for a while”).

Coming this year, IBM is publishing a book on Hybrid Cloud and I have written the chapter on something called the Hybrid Governance Fabric.  A set of important characteristics and decisions in changing existing governance or establishing some kind of governance in the first place.  Since my original blog post, I have done several deployments of governance in large enterprises and wanted to share more thoughts on this.

Please keep an eye out for the book in mid 2016 (or let me know and I’ll send you a link when it’s published).  Take a look at the set of topics in the chapter.. and tell me what you think! Screen Shot 2016-01-08 at 10.32.27 AM

There really are a lot of parallels between this Hybrid Cloud deployment model and how we conduct our lives everyday.  Thinking about it more, spreading applications, software systems, and data sources across many different physical environments and using different technologies is really (or nearly) the same as what we now call the Internet of Things (IoT).  The need to technically and mechanically tie these components, microservices, and systems together is vitally important and it’s something that everyone is working on, as evidenced by the huge number of different platforms out there.

There are two important factors in actually determining how to make this combined set of components actually operable and usable in ways that ensure security, quality, and maintainability.

  1. The ability to leverage data and analytics to determine the best and most optimized combinations of services and “things”.  This is where not just analytics but Cognitive capabilities, like IBM’s Watson platform are key to making this work
  2. To ensure the reliability and maintainability of such a menagerie of interconnected systems, locations, people, and components it’s important to govern and manage these systems.  When you combine systems of engagement, systems of record, and systems of insights figuring out the location of your data or the root cause of problems gets just that more complicated.

So.. when you combine all of these services together, when they have to be interconnected and you have to protect your data, governance and visibility are key.

Keep a lookout for the book and your comments and thoughts are welcome.