Cloud Computing

Cloud Computing

Cloud Computing

Cloud computing is a computing paradigm, where a large pool of systems are connected in private or public networks, to provide dynamically scalable infrastructure for application, data and file storage. With the advent of this technology, the cost of computation, application hosting, content storage and delivery is reduced significantly. Cloud computing is a practical approach to experience direct cost benefits and it has the potential to transform a data center from a capital-intensive set up to a variable priced environment. The idea of cloud computing is based on a very fundamental principal of „reusability of IT capabilities'. The difference that cloud computing brings compared to traditional concepts of “grid computing”, “distributed computing”, “utility computing”, or “autonomic computing” is to broaden horizons across organizational boundaries. Forrester defines cloud computing as: “A pool of abstracted, highly scalable, and managed compute infrastructure capable of hosting endcustomer applications and billed by consumption.”

Course Duration: 50 Hrs.(2-3months)                                    Timings: Weekends/Custom/Flexible

Mode of Training:  Regular/Fast Track                                 Class Duration: 4hrs weekly

Introduction to Cloud Computing

  • Defining cloud computing
  • Components of a computing cloud
  • Differentiating types of clouds: public, private, hybrid
  • Delivering services from the cloud
  • Categorizing service types
  • Comparing vendor cloud products: Amazon, Google, Microsoft and others

Adopting the Cloud

  • Key drivers of cloud computing solutions
  • Instantaneous provisioning of computing resources
  • Handling varied loads with elasticity and seamless scalability
  • Tapping into an infinite storage capacity
  • Cost-effective pay-as-you-use billing models
  • Evaluating barriers to cloud computing
  • Handling sensitive data
  • Aspects of cloud security
  • Assessing governance solutions

Exploiting Software as a Service (SaaS)

  • Characterizing SaaS
  • Minimizing the need for local hardware and software
  • Streamlining administration with centralized installation and updates
  • Optimizing cost and performance with the ability to scale on demand
  • Comparing service scenarios
  • Improving collaboration with business productivity tools
  • Simplifying business process creation by integrating existing components
  • Inspecting SaaS technologies
  • Deploying Web applications
  • Implementing Web services: SOAP, REST
  • Choosing a development platform

Delivering Platform as a Service (PaaS)

  • Exploring the technical foundation for PaaS
  • Specifying the components of PaaS
  • Analyzing vendor PaaS provisions
  • Selecting an appropriate implementation
  • Building services with solution stacks
  • Evaluating the architecture of vendor specific platforms
  • Becoming familiar with service platform tools
  • Leveraging the power of scalable middleware
  • Managing cloud storage
  • Controlling unstructured data in the cloud
  • Deploying relational databases in the cloud
  • Improving data availability
  • Employing support services
  • Testing in the cloud
  • Monitoring cloud-based services
  • Analyzing portability across platforms

Deploying Infrastructure as a Service (IaaS)

  • Enabling technologies
  • Scalable server clusters
  • Achieving transparency with platform virtualization
  • Elastic storage devices
  • Accessing IaaS
  • Provisioning servers on demand
  • Handling dynamic and static IP addresses
  • Tools and support for management and monitoring

Building a Business Case

  • Calculating the financial implications
  • Analyzing current and future computing requirements
  • Comparing in-house facilities to the cloud
  • Estimating economic factors downstream
  • Preserving business continuity
  • Selecting appropriate service-level agreements
  • Safeguarding access to assets in the cloud
  • Security, availability and disaster recovery strategies

Migrating to the Cloud

  • Technical considerations
  • Rearchitecting applications for the cloud
  • Integrating the cloud with existing applications
  • Avoiding vendor lock-in
  • Planning the migration
  • Incremental vs
  • one-step solution
  • Selecting a vendor
  • Establishing staff skill requirements

 

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