Saturday, February 25, 2017

DevOps is Sensing for Platform's sake

In the previous post on the high level reference architecture for DevOps, we identified the lifecycle attributes of modern application development.

The state of the art in application delivery is in a continual state of refinement, subject to the execution of economies on the Value Chain attributes of both infrastructure and platform delivery.

This is further enriched through the use of shared development (opensource, github, etc) and recognition of "future sensing agents" within the lifecycle of application delivery, particularly the exposure and refinement of APIs for the purpose of automation.

All of this is made possible by the continuing evolution of application development and operational support of equipment infrastructure at a fundamental/foundational level.  It is an OODA loop and seems to be accelerating in direct alignment with the practice of Agile Development.

Where 2nd Platform application designs supported an abstraction of the server through virtualization, the 3rd Platform is leading to distributed, run anywhere application lifecycles that provide the means to portability of workload on pooled Infrastructure as a Service (IaaS).  See Figure 1.

1st, 2nd, 3rd, Platform, Evolution, Application, Lifecycle, DevOps
Figure 1. Application Development Evolution Steps
Compelling events in the 3rd Platform include the introduction of Software Defined Networking (SDN), Software Defined Storage (SDS) and Containers that provide the enhanced abstraction of the underlying pool of equipment.

With an appropriate sensitivity to the APIs that provide abstracted functions, the Operations service is being automated at the platform level by industrializing those APIs into Cloud Native functions within the Platform.

This is the "future sensing" that creates the continuing evolution of the Platform space. #mapping

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