DevOps as a movement to transform people, technology, processes for higher business value is here to stay. It’s disrupting organizational processes replacing the old with the new. Command and control IT, a historical approach to regulating tech top-down, is trending toward decentralization thanks to DevOps.

Software source control is another such case. We saw Git take on the source control bigwigs and redefine how we collaborate and build software. Now, which other areas is DevOps disrupting?

Application Services

We have a famous saying in my home country Spain, The King is dead, long live The King! I say, “The application is dead, long live the application.” I’m referring to the practice of implementing applications as monoliths. Monolithic applications are a dying concept. Why? Because it’s better to design them as a collection of small services that link together. Such a flexible structure allows service reuse and control at a granular level. And you manage their life cycles independently. Attempting to control these services centrally though is the equivalent of trying to balance the federal budget.

It’s challenging to manage the lifecycle of services because of the very nature of agile business decision-making. Since services are much more granular, managing their lifecycle is also such. That’s why current application lifecycle management tools don’t scale for service-oriented applications. Next generation application lifecycle management requires a focus on services not on the application.

Microservices and Docker

Microservices is to infrastructure what service-oriented architecture (SOA) is to applications. Next generation applications require agile infrastructure to sustain the cadence of faster releases. Microservices align infrastructure management to the much more granular world of application services.

Over the last year, microservices gained traction fueled by the container revolution. The unit of infrastructure shrank from a VM to a container allowing applications to run as a composition of smaller self-contained services making application releases that much more agile. So my second bet is on containerizing application services.

Hybrid and Multi-Cloud

Third, cloud infrastructure management tools must scale to the next generation of the container and service-ready applications. In the world where infrastructure is a service, application architecture can no longer rely on infrastructure implementing a particular way. A development or QA environment does not have the same SLA needs or constraints of a production environment as an example. So applications must be able to run across a diverse infrastructure.

The first generation cloud management tools focused on managing servers in public clouds. That focus made every infrastructure provider a special case. Special cases don’t scale though. The cloud management tools must scale by removing dependencies between applications and infrastructure. Thereby, infrastructure becomes a choice, not a dependency. Application services must be able to run in private, public, hybrid, or multiple cloud environments. Such elasticity and independence are what applications demand from infrastructure.

Having been in this space for more than a decade now, I live and experience these DevOps trends daily. What are your thoughts, are there any trends you’re following closely?

(This editorial first appeared on Devops.com.)

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