Cloud Computing Training

Prepare students to understand the dynamics of Cloud computing who can efficiently understand and implement current cloud computing techniques.

Course Outline:

• Introduction -
  • What is Cloud Computing?
  • How is cloud computing more than simple networking?
  • Examples of Simple networking and its limitations
• Service Models in Cloud Computing -
  • SaaS - using applications residing on cloud. Eg. - email ,Salesforce, online sales management
  • Software Control Stack
  • SaaS Benefits and issues
  • SaaS Application Sustainability
  • Recommendations for Implementing SaaS
  • Case Study for SaaS
  • PaaS - Consumer deploys consumer developed/acquired applications. Eg. Google Apps engine
  • Interaction Dynamics.
  • PaaS Software Control Stack
  • PaaS Benefits and Issues.
  • PaaS Application Suitability and Recommendations
  • Case Study for PaaS
  • IaaS - Consumer is able to access processing,storage,network and other fundamental computing resources. Eg- Amazon Web Services- Users can rent virtual servers on which they run their own applications.
  • Abstract interaction Dynamics
  • IaaS Software Control Stack
  • IaaS Operational view
  • IaaS benefits , Issues and Concerns
  • Recommendations for implementing IaaS
• Deployment Models
  • Private - Only for a single org with multiple users. Managed by the organization or a third party and may exist on or off premise. Two variants:Onsite or outsourced.
  • Community - Infra is provisioned for a specific community from a specific from orgs that have shared concerns such as common missions/security. Can be managed by one or more community members or third party and can exist on or off premise. Two variants:Onsite or outsourced.
  • Public - Infra is provisioned to be of open use for general public. May be owned and managed by a academic,business or government
  • Hybrid - Composition is a mixture of two or more distinct cloud infrastructures which remain unique entities but are bound together by standardized or proprietary technology. It is subjected to all the constraints of its building blocks.
• Cloud Security
  • Infrastructure Security
  • Data Security and Storage
  • Identity and Access Management (IAM)
  • Privacy
• Key Drivers of Cloud Computing
  • Preparing for installation
  • Optimizing costs and scaling up
  • Monitoring cloud based services
  • Cloud Computing data storage
• Cloud Computing Vendors
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud Services
• Business Continuity and Disaster Recovery Services
  • Re-architecting apps for Cloud Computing
  • Cloud Based DR
  • Cloud Migration Decision Framework
• Case Studies - 3 Cases , one from BFSI, Digital Marketing & Automotive Sector