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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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