IT Operations Management (ITOM)

Connected Intelligence empowers better DevOps!

Connected Intelligence empowers better DevOps!


Written by Manoj Raisinghani, Senior Director, HP Software Product Marketing


An important topic during the sessions at VMworld this year has been IT organizations’ ongoing DevOps efforts. It’s quite clear that business has growing requirements for high speed, high quality delivery, improved responsiveness and secure, lower business risk, and that the traditional siloed approach to managing the lifecycle of applications is too slow. IT is keen to institute processes and systems that better automate and orchestrate development and operations on-premise and in the cloud.


DevOps is one of the key use cases for the HP Orchestrated Datacenter, and at this year's VMworld we showed how organizations can harness big data analytics to infuse the entire IT lifecycle with actionable knowledge — what we call Connected Intelligence.


To put it in simple terms, good DevOps is a matter of just getting out of each other’s way. Let’s take a look at how in practice, an Orchestrated Datacenter streamlines how teams manage and collaborate in the application lifecycle from testing through production.


DevOps Cycle.png


Continuous Testing

Through my conversations with customers, I understand that embracing DevOps is a journey, and for most, it starts with Continuous Testing. This is the use case that comes up most often in discussion with Apps teams — the ability to quickly and easily manage their own lab environments.


CSA4_Catalog2.pngFor example, a simple, easy-to-use self-service portal created by HP Cloud Service Automation (CSA) lets a delivery team view and select published packages of IT services, including infrastructure, platform and application services.


This gives them the agility to set up on demand the dev/test environments that are needed, with fewer dependencies on other teams.


As a result, they can schedule and execute tests earlier and more frequently, and generate feedback about application changes faster on an almost continuous basis.


The ability to self-provision environments, deploy a test app, run test cases and generate results to feed back into dev is a big leap forward for IT organizations trying to accelerate the velocity at which they deliver business services. But that’s just the first stage.


Release Automation

As organizations become comfortable with this, the next logical step is to take the application models and deployment assets they are using and deploy them in staging environments and then into production. We showed how an orchestrated datacenter offers high-speed delivery, letting dev teams automate application releases and deploy apps to staging and production on VMs, bare metal, OpenStack clusters and public clouds with advanced modeling.


Feed production data back to dev/test

But this shouldn’t be a one-way street. Once the code has been pushed out to staging and production, monitoring is applied. An orchestrated datacenter improves collaboration by feeding all the application performance data that is collected there should be fed back into the test cycle. Now the delivery team can test based on production use cases, making testing more robust with information from the front end.


End-to-end lifecycle management

Finally, to truly transform service delivery, an orchestrated datacenter is able to provide visibility into the whole landscape with end-to-end management of the entire DevOps process including all the data sharing, transfer and collaboration.


Such automation of admin tasks and orchestration of processes are essential foundations for successfully building and operating cloud environments. The streamlined DevOps use case is just one example of the benefits, but it’s a powerful one that’s really resonating with IT practitioners.


Learn more

Join us now for our webinar on connected intelligence, as we discuss how connected intelligence will bring automation and analytics into one immersive user experience for the New Style of IT (below). In the mean time, get caught up on HP’s vision for an Orchestrated Datacenter, and visit the Orchestrated Datacenter solution site at www.  Weigh in with your views in our new Automation and Cloud Management Community (




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About the Author


Lending 20 years of IT market expertise across 5 continents, for defining moments as an innovation adoption change agent.

Acclaimed Contributor

To maintain a non-disruptive environment & to optimize performance there should be two systems. A development/testing/lab environment & a production environment. This will allow your team to test their deployements before they implement them.




Nicholas Lee Fagan

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