Cloud Migration Best Practice Part 3: Application Portfolio Analysis

Why the Cloud? Processing, Exploitation and Dissemination

By G C Network | October 23, 2008

So why is the intelligence community so interested in cloud computing? Three letters: PED (Processing, Exploitation, Dissemination). Take these two real life examples from the publishing industry. Jim Staten of…

World Summit of Cloud Computing: “Enterprise Cloud Computing” work group

By G C Network | October 22, 2008

To leverage attendees of the World Summit of Cloud Computing, a kick-off meeting of the “Enterprise Cloud Computing” work group will be held near Tel Aviv, Israel on December 3,…

Cloud Package Management

By G C Network | October 21, 2008

In his post “Missing in the Cloud: package management“, Dave Rosenberg highlights a critical issue in the adoption of cloud computing by government agencies. “I dare say that a standard…

PlugIntoTheCloud.com

By G C Network | October 20, 2008

Information Week has just launched PlugIntoTheCloud.com as their cloud computing destination. In his Non Linear Thinking blog, Bill Martin calls it a movement aimed at “providing a source and forum…

Is the cloud computing hype bad?

By G C Network | October 17, 2008

From Gartner “Why a little cloud hype might be useful“: “It’s too simplistic to say cloud hype is bad . If we are technically expert is might irritate us with…

Stop the FUD (Fear, Uncertainty and Doubt) !!

By G C Network | October 16, 2008

Dan Morrill! Count me in !! In his excellent article, “Cloud Computing is Scary – But the FUD Has to Stop“,  Dan makes some excellent points: It is time to…

IBM, Microsoft and Google

By G C Network | October 15, 2008

On October 6th, IBM launched their cloud services initiative. This is a:  “[C]ompany-wide initiative that extends its traditional software delivery model toward a mix of on-premise and cloud computing applications…

Government in the Cloud

By G C Network | October 13, 2008

Back in mid-September, there was quite a thread in the Google Cloud Computing Group on the use of cloud computing by the federal government.  Some of the interesting comments were:…

CloudCamp Partners With SOA-R !!

By G C Network | October 10, 2008

I’m proud to announce that the final SOA-R Cloud Computing Education Event will be held in collaboration with CloudCamp. Now dubbed CloudCamp:Federal, the event will be held as an “unconference” to help…

Federal Cloud Computing Wiki

By G C Network | October 9, 2008

With the fast growing interest in cloud computing, the Federal Government community has established a Federal Cloud Computing Wiki. This wiki is managed by Dr. Brand Niemann, Senior Enterprise Architect…

In part three of this series on cloud migration best practice, I will focus on migrating the application itself. If you haven’t had the opportunity to read our recommendations from part two, “Classifying Your Data,” check it out — those activities are crucial to the decisions addressed in this installment.

While many organizations are aggressively moving applications to the cloud, they often set the criteria for a cloud service provider (CSP) without the necessary technical and operational due diligence. This widely observed error typically leads to migration delays, failures to attain expected business goals and general disillusionment with cloud computing. However, avoiding this disappointing experience is relatively easy. All it takes is executing an application portfolio screening process that takes a look at:

  • The most appropriate CSP target deployment environment.
  • Each application’s specific business benefits, key performance metrics and target return on investment.
  • Each application’s readiness for cloud migration.

Build a foundation

The first step in the screening process is determining the most appropriate cloud deployment environment. This practice establishes an operational foundation for subsequent service provider selections by using relevant stakeholder goals and organizational constraints to guide service model, deployment model and implementation option strategy decisions. Enterprises transforming their information technology should evaluate all available options by analyzing an app transition across three specific high-level domains and sub-domains, such as:

  • IT implementation model
    • Traditional
    • Managed service provider
    • Cloud service provider
  • Technology service model
    • Infrastructure-as-a-Service
    • Platform-as-a-Service
    • Software-as-a-Service
  • IT infrastructure deployment model
    • Private
    • Hybrid
    • Community
    • Public

Cloud computing domains

These domains and sub-domains outline a structured decision process for placing the right application workload into the most appropriate IT environment. This is not a static decision: As business goals, technology options and economic models changes, the relative value of these combinations to your organization may change as well. Plus, single-point solutions are rarely sufficient to meet all enterprise needs. By the end of the cloud migration journey, an organization may require a mix of two, three or as many as 10 variations. Infrastructure variation is why an organizational hybrid IT adoption strategy is crucial. Figure 1 is an example application decision matrix suitable for this step.

With target deployment environments selected, companies should evaluate each candidate application regarding their business benefits and ability to leverage cloud computing’s technical and operational advantages. Using a simple qualitative scale, stakeholders should agree on:

  • Key performance indicators relevant to business or mission owner goals.
  • Expected or target financial return on investment.
  • Each application’s ability to use cloud infrastructure scalability to:
    • Optimize time to deliver products or services.
    • Reduce time from business decision to execution.
    • Optimize cost associated with IT resource capacity.
    • Increase speed of cost reduction.
  • Possible application performance improvements that may include:
    • More predictable deployment and operational costs.
    • Improved resource utilization.
    • Quantifiable service level metrics.
  • Value delivered by improved user availability that may be indicated by:
    • Improved customer experience.
    • Implementation of intelligent automation.
    • Improved revenue margin.
    • Enhanced market disruption.
  • Enhancing application reliability by:
    • Establishing enforceable service level agreements.
    • Increasing revenue efficiencies.
    • Optimizing profit margin.

Determine KPIs

Figure 2 provides a baseline KPI and ROI model that can be easily modified to effectively manage a qualitative assessment across time, cost, quality and revenue margin criteria.

The final step of this application screening process is determining each application’s readiness to actually migrate to the cloud. This step should qualitatively assess the alignment of an application’s cloud migration decision to the organization’s:

  • Risk appetite and risk mitigation options.
  • Ability to implement, manage and monitor data security controls.
  • Expected migration timelines.
  • Expected ROI realization timelines.
  • Current culture and necessary organizational change management resources.

Performing an application portfolio screening process can be useful in aligning cloud application migration projects with organizational business, technical, security and operational goals. It can also avoid application migration delays, failed business goals and team disillusionment by building and monitoring stakeholder consensus.

In the next and final installment of this series, data classification and application screening are linked to cloud service providerselection and application migration execution.

This post was brought to you by IBM Global Technology Services. For more content like this, visit ITBizAdvisor.
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