Cloud Migration Best Practice Part 3: Application Portfolio Analysis

Strategies And Technologies for Cloud Computing Interoperability (SATCCI)

By G C Network | March 4, 2009

As I alluded to in an earlier post, a major cloud computing interoperability event will be held in conjunction with the Object Management Group (OMG) March Technical Meeting on March…

Government Cloud Computing E-zine Launched

By G C Network | March 3, 2009

Today marks the launch of a new electronic magazine dedicated to addressing cloud computing within the government space. Over the last year during my personal exploration of this marketspace, I’ve…

NCOIC Plenary: Cloud Computing Working Group

By G C Network | March 2, 2009

Last week, I had the pleasure of participating in the NCOIC Cloud Computing Working Group. Led by Cisco Systems Distinguished Engineer, Mr. Krishna Sankar of Cisco Systems, the meeting purpose…

2nd Government Cloud Computing Survey – A Sneak Peek

By G C Network | February 25, 2009

This month, we’re in the middle of collecting data for our 2nd Government Cloud Computing Survey. to peek your curiosity (an to entice your participation) here is a sneak peek…

Government could save billions with cloud computing

By G C Network | February 23, 2009

In a recent study, published by MeriTalk, Red Hat and DLT Solutions, the Federal government could save $6.6 billion by using cloud computing or software-as-a-service. “Looking at 30 federal agencies,…

Cloud Games at FOSE 2009

By G C Network | February 19, 2009

ONLINE REGISTRATION NOW AVAILABLE Booz Allen Hamilton is launching its Cloud Computing Wargame (CCW)T at FOSE March 10-12, 2009 in Washington, DC. The CCW is designed to simulate the major…

IBM and Amazon

By G C Network | February 16, 2009

According to the Amazon Web Services (AWS) site, you can now use DB2, Informix, WebSphere sMash, WebSphere Portal Server or Lotus Web Content Management on Amazon’s EC2 cloud. “This relationship…

A Berkeley View of Cloud Computing

By G C Network | February 13, 2009

Yesterday, Berkeley released their View of Cloud Computing with a view that cloud computing provides an elasticity of resources, without paying a premium for large scale, that is unprecedented in…

Cloud Economic Models

By G C Network | February 11, 2009

One of the most important drivers of cloud computing in the Federal space is its perceived “compelling” economic value. Some initial insight on the economic argument is now available on…

Cloud Computing In Government: From Google Apps To Nuclear Warfare

By G C Network | February 10, 2009

Today, I want to thank John Foley of InformationWeek for an enjoyable interview and his excellent post, Cloud Computing In Government: From Google Apps To Nuclear Warfare. Our discussion covered…

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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