A Introduction to cloud computing, how it differs from traditional computing and data centers, It's types of services.

1. Cloud Computing
Beyond the local machine.

2. About Me
Application Architect @ Skcript | Organizer @
GDGChennai | Rails Developer | Internet Addict |
Technology Evangelist

3. Agenda
➔ Intro to cloud computing
➔ Type of services in cloud
➔ Virtualization
➔ Trends in Cloud
➔ Demo and Hands-On With Google Cloud

4. Computers that processed with punched cards
Where We Started ?

8. Where we’re now ?

9. Introduction to cloud
➔ So what is cloud ?
➔ How it is differs from traditional computing ?
➔ Why it is adopted ?

10. What is cloud ?
➔ Computation Over Internet
➔ One Single Installation
➔ Network Computing
➔ Pay for only used resource
➔ Access anywhere, anytime

12. Traditional Computing
➔ Computation over local data centers
➔ Custom hardware
➔ Installation and Updation is such a pain
➔ Manage the dependencies
➔ Error Logs

13. Demand for cloud apps
ERP Enterprise Resource Planning
CRM Customer relationship management
Social Apps
Office Apps
File Hosting

14. Advantages of cloud
➔ Pay only for usage
➔ Less people to maintain
➔ Easier setup
➔ Forget about hardware failure
➔ Scalability

15. API

16. Cloud Dashboard APIs
➔ Manage the resource with just clicks
➔ Generate System Reports
➔ Monitor and error logs and warnings

17. Amazon AWS EC2 Console Panel

18. Types of service
Cloud has three type of services
➔ SaaS
➔ PaaS
➔ IaaS

20. Software as a Service
➔ Common SaaS Use-Case: Replaces traditional on-
device software
➔ Eg. Google docs, Facebook, pixlr editor

21. Platform as a Service
➔ Common PaaS Use-Case: Increases developer
productivity and utilization rates while also decreasing
an application’s time-to-market
➔ Eg. Google app engine, Heroku, Salesforce, OpenShift.

22. Infrastructure as a Service
➔ Common IaaS Use-Case: Extends current data center
infrastructure for temporary workloads (e.g. increased
Christmas holiday site traffic)
➔ Eg. Amazon AWS, Google Cloud, Microsoft Azure.

23. Technologies Adopted in Cloud
➔ Voice Processing
➔ Machine Learning
➔ Internet of things
➔ Big Data Analysis
➔ Game Industry
➔ Science Calculations

24. Voice Processing

27. Machine Learning

28. Machine Learning
➔ Understand the user’s mind
➔ Predict the results
➔ Recommendations

30. Internet Of Things
All Physical Objects getting smart
Connected to each other.
Can communicate with other objects
Process and generate data

33. Big Data on Cloud
➔ What is big data ?
➔ Why implemented in cloud ?

35. Scientific data processing in cloud
➔ Complex Calculations
➔ Huge data sets
➔ High Accuracy
➔ Should be faster

37. Chromebook Pixel

38. Virtualization
➔ Something that’s not real
➔ Acts to be real
➔ Gives the a feel of working with a real machine or OS

39. Types of Virtualization
➔ Hardware Virtualization
➔ Desktop Virtualization

40. Hardware Virtualization
➔ Hypervisor
➔ Control processor, memory and other firmware
resources for multiple operating system

42. Desktop Virtualization
Isolating a logical operating system instance from the client
that is used to access it.

44. Need for Virtualization
Utilize the resource to the max
Cost efficient way

45. Demo Time

46. Thank you, Questions ?
varun@skcript.comvarun-raj vishvesh@skcript.com