Cloud Computing and Future

Cloud Computing

Cloud computing relies on sharing of resources to achieve coherence and economies of scale, similar to a utility (like the electricity grid) over a network. At the foundation of cloud computing is the broader concept of converged infrastructure and shared services.

Comprises of following 3 components: SaaS, IaaS, PaaS

Features:

  1. Agility
  2. Cost reductions
  3. Device and location independence
  4. Maintenance ease
  5. Multitenancy
  6. Performance is monitored, and consistent and loosely coupled architectures are constructed using web services as the system interface
  7. Productivity may be increased when multiple users can work on the same data simultaneously
  8. Reliability improves with the use of multiple redundant sites, which makes well-designed cloud computing suitable for business continuity and disaster recovery.
  9. Scalability and elasticity via dynamic ("on-demand") provisioning of resources on a fine-grained, self-service basis in near real-time
  10. Security can improve due to centralization of data, increased security-focused resources, etc., but concerns can persist about loss of control over certain sensitive data, and the lack of security for stored kernels. Security is often as good as or better than other traditional systems, in part because providers are able to devote resources to solving security issues that many customers cannot afford to tackle.

Forbes

By 2018, 62% Of CRM Will Be Cloud-Based, And The Cloud Computing Market Will Reach $127.5B

 

Sidebar: How cloud computing reshapes the business

  • Strategy Companies reassess their strategy, looking at where cloud can accelerate projects or enable them to take advantage of new opportunities. They also look at how they are currently using cloud computing in the organization.
  • People Cloud computing moves organizations toward a service focus, rather than a functional one. As such, they begin reassessing their talent needs. For example, they look at IT staff and consider whether they have or can develop the IT architects they will need to design and manage cloud services.
  • Processes Changes to processes may be significant. For example, research and development will need to align more tightly with IT, as project planning and deployments are accelerated with cloud. Likewise, in a company’s finance organization there may be changes to how profitability, budgeting, and depreciation are handled.
  • Technology Regarding technology, new issues include how to address data security and governance in the cloud model, as well as how to support the business as it assumes more of a service focus.
  • Structure Changes in the organization’s processes may also affect how the organization is structured. For example, consider the impact that rapid and inexpensive deployment of technology could have on product development. How do governance models remain relevant and intact?

 

Sidebar: Cloud considerations

As businesses begin formulating a cloud strategy, some of the questions that company leaders may consider asking are:

 CEO

  • How can I communicate the transformation potential of cloud computing to senior management and the board?
  • What business value does cloud bring beyond the IT benefits, and how do I identify and gain those benefits?
  • How can we exploit strategic opportunities while managing risk to the business (finance, tax, operational, and IT)?

CFO

  • How do I manage the unpredictability of costs in a pay-as-you-go model?
  • What are the implications of moving to a service model from an accounting and tax perspective?
  • How can IT costs reflect the needs of individual business units?

  CIO

  • Which of the strategic imperatives can cloud solutions help right away?
  • What is the roadmap that creates incremental benefits on the way to adopting cloud computing?
  • How can IT better align with product development to support our changing business model?
  • How does our talent strategy need to change to support a cloud-based infrastructure?

 

FUTURE

  1. - Cloud Computing
  2. - Big data
  3. - Mobile
  4. - Analytic
  5. - Data Management
  6. - Robots
  7. - AI
  8. - ML
  9. - Edge Computing
  10. - Network of the Future (5G, 6G, 7G ...)

 

 

 

 

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