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Cloud Migration Part 2: Classify your data
In my first post of this series, “Cloud migration part one: An overview,” I provided a high-level summary of how enterprises should migrate applications to the cloud. In this installment,…
Could Budget Sweeps Fix Your Cybersecurity Problem?
A recent roundtable discussion in Washington, DC with Federal IT and Cyber leaders focused on the business drivers, challenges and evolving strategies around cybersecurity in government. After an opening presentation…
Cloud Migration Part 1: An Overview
Cloud Migration Part One: An Overview Business is all about efficiency and effectiveness. In today’s world, however, those twin goals almost always lead to cloud migration. This anecdotal observation…
A Personal Technology for Good Redux: Call for Code
In 2013 I had the opportunity to manage a $2M demonstration of how cloud computing could be used to support natural disasters. In that NCOIC Geospatial Community Cloud (GCC) demonstration,…
A Path to Hybrid Cloud
Cloud computing is now an operational reality across every industry. Organizations that fail to leverage this economic, operational and technology consumption model are merely consigning themselves to irrelevance. The rapid…
Human-Led Collaboration with Machines
When charged with managing large and complex efforts, an overarching project management task is risk assessment. It involves documenting the current situation, comparing it to the past, and understanding the…
Sensomorphic
240 million results are returned in 1.06 seconds (as of May 28, 2018) when you search for cloud computing in a Google search. With that much information available, and that many…
Artificial Intelligence and the Project Manager
Organizations use teams to create wealth, market share, customer service, competitive advantage, and organizational success. Effective teams accomplish their assigned end goals by engaging in collaboration as a joint learning…
Building A Collaborative Team
Recently, Harvard Business Review cited some insightful research into team behavior at 15 multinational companies. It found that although these teams tended to be large, virtual, diverse, and composed of…
Welcome the New Project Manager!
According to CIO.com, the six traits of highly effective project managers are: Be a strategic business partner who can offer higher-level strategic leadership skills, not just technical management skills, provide…
A few days ago I received a call from a small business owner asking if I would meet him for coffee. He wanted to run some ideas past me on how he could enhance his current business with cloud computing. This is the sort of request that I can never turn down so we quickly made an appointment for the next day. After exchanging pleasantries and settling down with our lattes, he started to give me an overview of his current business.
- True Cloud Service Providers build and offer scalable, redundant and elastic resources to the marketplace. In other words, you build it before they come;
- Cloud services aren’t built to specification based on a RFP. A CSP provides standardized offerings with standardized SLA built on an infrastructure the CSP designs;
- The cloud computing economic model is built on over-subscription of the CSP’s available services across a large marketplace, not on individual long-term contracts.
- On-demand self-service: A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service provider.
- Broad network access: Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, tablets, laptops and workstations).
- Resource pooling: The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state or datacenter). Examples of resources include storage, processing, memory and network bandwidth.
- Rapid elasticity: Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be appropriated in any quantity at any time.
- Measured service: Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth and active user accounts). Resource usage can be monitored, controlled and reported, providing transparency for the provider and consumer.
(This post was written as part of the Dell Insight Partners program, which provides news and analysis about the evolving world of tech. To learn more about tech news and analysis visit Tech Page One. Dell sponsored this article, but the opinions are our own and don’t necessarily represent Dell’s positions or strategies.)
( Thank you. If you enjoyed this article, get free updates by email or RSS – © Copyright Kevin L. Jackson 2012)
Cloud Computing
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