Leading by Game-Changing Cloud, Big Data and IoT Innovations

Tony Shan

Subscribe to Tony Shan: eMailAlertsEmail Alerts
Get Tony Shan: homepageHomepage mobileMobile rssRSS facebookFacebook twitterTwitter linkedinLinkedIn


Blog Feed Post

Cloud Adoption Lifecycle Management

- Holistic Perspective

As more and more organizations are adopting and introducing Cloud computing solutions to their IT environment, it becomes increasingly important to have a holistic view and strategic plan on the utilization of this new computing technology. A Cloud Adoption Lifecycle Model (CALM) depicts the significant phases or activities of the Cloud use from the sunrise until the sunset. The lifecycle model describes the interrelationships between the transition phases, and guide the practical implementations and executions in enterprise programs.

CALM consists of 9 stages: Operation Baselining, 360° Assessment, Target State Blueprinting, Transformation Roadmapping, In-depth Evaluation on Targeted Areas, POC/POT/Pilot, Cloudification Program, Enablement, and Mobilization. Templates, tools and reusable working artifacts are developed for the work breakdown in each individual stage. For example, in the phase of Operation Baselining, the current business and technology models are created or reverse-engineered, along with the future business and technology drivers and directions. 4 working artifacts (Cloud maturity model, industry domain model, reference model, and Cloud reference architecture) are devised to assist the gap identification, impact analysis, Business/IT alignment, and architectural examination. A rich set of techniques and means are formulated to facilitate the anatomical diagnosis and investigations on multiple dimensions, such as SWOT, cost-benefit, bubble chart, radar diagram, and comparative study, to just name a few.

More Stories By Tony Shan

Tony Shan works as a senior consultant, advisor at a global applications and infrastructure solutions firm helping clients realize the greatest value from their IT. Shan is a renowned thought leader and technology visionary with a number of years of field experience and guru-level expertise on cloud computing, Big Data, Hadoop, NoSQL, social, mobile, SOA, BI, technology strategy, IT roadmapping, systems design, architecture engineering, portfolio rationalization, product development, asset management, strategic planning, process standardization, and Web 2.0. He has directed the lifecycle R&D and buildout of large-scale award-winning distributed systems on diverse platforms in Fortune 100 companies and public sector like IBM, Bank of America, Wells Fargo, Cisco, Honeywell, Abbott, etc.

Shan is an inventive expert with a proven track record of influential innovations such as Cloud Engineering. He has authored dozens of top-notch technical papers on next-generation technologies and over ten books that won multiple awards. He is a frequent keynote speaker and Chair/Panel/Advisor/Judge/Organizing Committee in prominent conferences/workshops, an editor/editorial advisory board member of IT research journals/books, and a founder of several user groups, forums, and centers of excellence (CoE).