Cloud Computing

In the past, computing tasks such as word processing were not possible without the installation of application software on a user's computer. A user bought a license for each application from a software vendor and obtained the right to install the application on one computer system. Cloud computing differs from the classic client-server model by providing applications from a server that are executed and managed by a client's web browser, with no installed client version of an application required. Centralization gives cloud service providers complete control over the versions of the browser-based applications provided to clients, which removes the need for version upgrades or license management on individual client computing devices.

Topics to be covered in CLOUD COMPUTING Workshop

Day 1

1. Introduction to the cloud computing

•  
• A short history
• Client Server Computing Concepts
• Challenges with Distributed Computing
• Introduction to Cloud Computing
• Why Cloud Computing?
• Benefits of Cloud Computing

2. Networking Basics

•  
• Understanding Networking Concepts
• TCP/IP
• Application Protocols
• Understanding Linux Files and Network Tooling
• ifconfig
• dig
• ping
• traceroute
• netstat
• tcpdump
• resolv.conf
• ssh
• scp/rsync

Day 2 

3. Characteristics of Cloud Computing 

• API based access
• Cost
• Device independence
• Virtualization
• Multitenancy

4. Types of Cloud Computing

• Software as a Service
• Platform as a Service
• CLOUD COMPUTING – BASIC AND ADVANCED
• Infrastructure as a Service
• Other XaaS's

Day 3

5. Cloud Deployment Models

• Public Cloud
• Private Cloud
• Community Cloud
• Hybrid Cloud
• When to Choose What ?

6. Virtualizations

• Introduction to Virtualization
• Role of Virtualization in Cloud Computing
• Types of Virtualization
• Examples of Virtualization
• Benefits of Virtualization
• Virtualization terminologies
• Emulator
• Hypervisor
• Backup and Snapshotting
• Failover
• Examples of Virtualization
• VMware
• Virtualbox
• Qemu/KVM

Day 4

7. Virtualizations Hands-On

• Installing Virtual Machine Manager
• Configuration of the host machine
• Network configuration
• Creating Virtual Machines
• Allocating Resources
• Installing guest machines
• Running guest machines

8. Cloud Computing - Analyzing the Space

• Major cloud providers
• Important cloud related software

 9. Web Application Engineering in the Cloud

• DNS
• Load Balancer
• Web Servers
• Application Servers
• Scaling web and application servers
• Data stores/Cloud Storage
• Relational Databases
• NoSQL databases
• Scaling datastores
• Storing and analyzing unstructured data in the cloud
• Data Analysis and the Hadoop Ecosystem
• Eliminating SPOFs

Day 5 

10. SAAS Case Study - Google Apps for the Enterprise

• Google Apps Setup
• Google Mail
• Google Drive
• Google Apps Marketplace

 11. Amazon Web Services (AWS)

•  
• Introduction to the AWS products
• Amazon Elastic Compute Cloud (EC2)
• Amazon Simple Storage Service (S3)
• Elastic Block Storage (EBS)
• Elastic Load Balancing (ELB)
• Amazon Relational Database Service (RDS)
• Amazon DynamoDB
• Auto Scaling
• Amazon ElastiCache

12. Case Studies - Amazon Web Services

• Building a simple web application in the cloud
• Building a community based photo/video sharing site
• Building an ad-serving site in the cloud

Duration: The duration of this workshop will be five consecutive days, with 6-7 hours session per day

Certification Policy:

• Certificate of Participation for all the workshop participants.
• At the end of this workshop, a small competition will be organized among the participating students and winners will be awarded with a 'Certificate of Excellence'.
• Certificate of Coordination for the coordinators of the campus workshops.

Eligibility: There are no prerequisites. Anyone interested, can join this workshop.