Last week, I introduced my concept of the 3 C’s of Cloud: Confine, Clover, and Cost and began outlining a simple strategy for maximizing your benefits during the process of adopting a cloud solution by confining the scope of your business problems. What comes next?
Let’s now talk about the second of my “C” concepts—Clover.
Before you can ‘roll in the clover’ of a successful cloud implementation you need to address one of the most common pitfalls to success: failing to build an appropriate business justification for migrating to cloud. If you enter the process with the attitude that “I’ll just experiment with this new Cloud thing and see what happens; maybe it will give me what I need,” you may not end up ‘in clover’ but in the weeds. So, what do you need to do?
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Tags: Cisco CloudVerse, Cisco Services, cloud, Cloud Adoption, cloud services, data center, Enterprise
Cloud is a journey. This post discusses our approach to crawl, walk and run.
A cloud architecture has multiple facets and requirements, a key part of which is the need for cloud orchestration and provisioning, coupled with a self-service end user portal. Let’s call this “Cloud Automation” for now. If you are designing and/or building a cloud, then, part of your work will be to deliver a cloud automation solution to deliver on that promise. How do you plan to go about that? One approach is to define your extensive list of requirements, based upon your business needs and current capabilities, and go about building out that solution.
Another approach is what I’ll call “Crawl Walk Run”. The incremental approach.
Post is here.
Cloud is a change to the operational model: a change in behavior, accounting, process and people. You can’t do it overnight. Trying to deliver every service doesn’t work.
It’s very important to set a roadmap of where you want go with your cloud services so you don’t get stuck in the VM Azores — this is where all the focus is on VM provisioning and then you deploy technology that does that. And only that.
You need that roadmap of services and a technology platform that supports your vision. Even if all you first is crawl.
Tags: Cisco Intelligent Automation for Cloud, cloud, cloud automation, Cloud Management, intelligent automation, orchestration, Service Orchestration, unified management
For those of you wondering about the impact to Cisco of Software Defined Networking and the combined SDN strategy of VMware and Nicira, I point you to a very rational and well-articulated article by Mike Fratto of Network Computing, that basically says Cisco doesn’t have much to worry about. (Enterprise Strategy Group had already said something similar, by the way).
Specifically, Fratto says:
The lack of programmability in existing networking hardware is certainly a problem, but VMware’s acquisition of Nicira does not mean that Cisco and its ilk will be marginalized… It does mean the role and management of the physical network is changing, and I think Cisco is further ahead than most of its competitors in creating a vision for the next phase of networking.
I couldn’t agree more. Since Cisco live! when we announced our Cisco ONE strategy for network programmability as well as the advances in our Nexus 1000V portfolio for virtual network overlays, I have been posting on many of the same points.
My take here was that the VMware-Nicira acquisition did not portend a strategic break with Cisco, and while there are some obvious overlaps in our product lines, there are still a number of areas of collaboration, cooperation and interoperability. The virtual network infrastructure is just one piece of a larger software stack and the differentiation will likely be decided in the orchestration, management and applications built on top of the newly programmable infrastructures sometime down the road. Read More »
Tags: Cisco ONE, Cisco Open Network Environment, FabricPath, LISP, Nexus 1000v, Nexus 5000, Nexus 7000, Nicira, OpenStack, OTV, SDN, software defined networking, virtual network overlays, VMware, vPath, VXLAN
Stretching the Olympic theme of my previous blog, where I used the analogy of a 100m sprinter and his backup team to introduce the new Cisco Intelligent Automation for Cloud Deployment Services, I’d like to now discuss how to roll out new cloud projects in the data center. Thinking again about a team of Olympic champions – and the Team GB (Great Britain) cycling team, illustrate this principle so well – with their fabulous winning streak, not least the incredibly exciting keirin event win by my countryman Sir Chris Hoy (yes, fellow Scot, however that’s where the association ends ). Such teams don’t often win with a “big bang” all-at-once, approach. Their training and successes usually builds incrementally, over several years and phases.
In the case of Team GB Cycling, they have developed from practically “also rans” in 1998 to consistent world beaters in Beijing 2008 and now London 2012. They have improved incrementally, event by event, year by year, demonstrating incremental successes as they went along, to be world beaters. In essence, they have used an approach we in Cisco sometimes call “Crawl, Walk, Run”, illustrating the progress to success. From my experience over the past 25 years in IT, there are big lessons here for IT project delivery. Let’s use a Cloud Automation project as an example.
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Tags: cisco_services, cloud, cloud_computing, data center, intelligent automation
Recently, I wrote an article on PaaS for IT BusinessEdge entitled the road PaaS, understanding your post IaaS options. Here’s an excerpt.
The Road to PaaS
PaaS is an enticing proposition that has generated a lot of market buzz.
But PaaS forces tradeoffs and it shouldn’t be seen as a one-size-fits-all proposition.
To understand, I like to draw the distinction between what I call “Silicon Valley PaaS” and “Enterprise PaaS.” The majority of the discussion in the market today revolves around the Silicon Valley PaaS pattern, which is a truly abstracted “black box” approach to software platforms.
This form of PaaS exposes a set of standardized services to which you write your applications, completely sheltering developers from the underlying complexity below the PaaS abstraction.
It makes a lot of sense for brand-apps built with modern frameworks like Python and Ruby in greenfield development environments that are highly standardized.
The basic premise of the post is that PaaS for an enterprise is VERY different from PaaS for a Silicon Valley start up. And nowhere is it more different than in the network requirements.
The PaaS customer is a developer who will code an application, use the underlying services offered by the PaaS stack, such a database, storage, queueing, etc. The developer deploys the code, selects a few options and code is live.
So what’s going on with the network? Well, the PaaS layer will need to auto-scale, fail-over and deliver performance at some level. It may need it’s own domain as well. That PaaS layer will need to talk to underlying network services such as firewalls, switches, etc. That PaaS really needs access to infrastructure models that deliver network containers to whatever PaaS abstraction the PaaS layer has.
Hard enough to do when all the containers are the same, as it would be in a Silicon Valley PaaS offering.
It doesn’t work with the existing enterprise platforms. This is a big opportunity for innovation
Tags: Cisco Intelligent Automation for Cloud, cloud, Cloud Management, intelligent automation, orchestration, paas, Service Orchestration, unified management