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Benefits of Virtualization in Cloud Computing

Access your data from anywhere in the world

Cloud computing and virtualization training is a model for enabling ubiquitous, convenient, on-demand access to a shared pool of configurable computing resources. Cloud computing and storage solutions provide users and enterprises with various capabilities to store and process their data in third-party data centers.It relies on sharing of resources to achieve coherence and economies of scale, similar to a utility over a network. At the foundation of cloud computing is the broader concept of converged infrastructure and shared services.

Modules Covered in the Course:

Module-1: Introduction to Cloud Computing Components of a computing cloud Differentiating types of clouds: public, private and 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 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

Cloud Security (Using Cloud Sim)

DES Algorithm Public Private Key cryptography

Public Cloud

Amazon Web Services, Rack space, Go Grid

Private Cloud

Eucalyptus, Cloud Stack,  Open Nebula (Conceptual study and working process) Module 2 : Exploiting Software as a Service (SaaS) Characterizing SaaS

Streamlining administration with centralized installation Optimizing cost and performance with 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 and REST Choosing a development platform Module 3: 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 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 Managing cloud storage Hypervisors [Virtualization]- VMware /XEN/KVM High availability & Load Balancing Solutions Disaster Recovery Scenarios on Cloud Windows Azure Module 4: 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 Deploying a Private Cloud

Leveraging an existing infrastructure Comparing Open Stack and Eucalyptus Managing resources across teams and departments Integrating with public clouds Module 5: Building a Business Case Calculating the financial implications

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

Architecture applications for the cloud Integrating the cloud with existing applications Selecting a vendor and avoiding vendor lock-in Hands-On Experience Includes

Deploying websites and data to Amazon IaaS Assessing PaaS tools for building and deploying cloud applications Experiencing SaaS real-time collaboration tools Allocating and deploying resources on an Open Stack Private Cloud Developing a business plan for cloud adoption and migration

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