Cloud computing workshop at IIT bombay

Trainer Profile
Co-founder and CEO at Applied Cloud Computing
Mr. Nilesh is an experienced technology professional with hands
on expertise on cloud technologies.

Nilesh Satpute

He is associated with IIT Bombay as an Independent
Technology Advisor assisting them with their Virtualization
journey. And Cloud Advisor with Wegilant University, an IIT
startup.

•Mr. Nilesh Served IBM, HP, Wipro, Hexaware as a cloud expert in last 10 years.
•Few of his clients are HCL, Tata Interactive Systems, IIT Bombay, Future Group, CITIBANK,
Boehringer Ingelheim india.
AWS certified Solution Architect
Netsuite Certified Implementation partner
Peoplesoft Certified Technical consultant

Qualification : BE Computer Science from VJTI
: MBA form Jamnalal Bajaj Institute of management studies
www.appliedcloudcomputing.com
Linkedin Profile:http://www.linkedin.com/profile/view?id=200500065

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Session 1

INTRODUCTION TO CLOUD
COMPUTING

3

History of cloud computing
• Need for Utility : (Electricity, Telecom) :
Delivering computer resources over global
network
1980(PC
adoption)

1990-till date
(internet
economy)
2009(web 2.0)

1970(mainframes)

2004(Private
Cloud)

Paravirtualization

2002(Amazon Web
Services)

1969 (ARPNET)

Full virtualization
1999
(salesforce.com)


Mainframe

4

cloud
Cloud computing is a model for enabling ubiquitous, convenient, on-demand network
access to a shared pool of configurable computing resources (e.g., networks, servers,
storage, applications, and services) that can be rapidly provisioned and released with
minimal management effort or service provider interaction.
• 5 characteristics
• On demand self Service, Broad Network Access, Resource pooling, Rapid
Elasticity and Measured services
• 3 Service Models
•SaaS, PaaS, IaaS
•4 Deployment model
•Private Cloud, Public Cloud, Community cloud, And Hybrid Cloud


5

How Cloud Computing works 1/2
• Using resource pools to share common
resources
• Server Virtualization
• Network Virtualization
• Storage Virtualization
• Virtualization to cloud : IT –as-a-Service
• Data Centre transformation to shared
Infrastructure

6

How Cloud Computing works 2/2
Business and Financial
management

New focus Area : Cloud
services and operations
management
New role emerging
•Cloud Architect
•Cloud Admin
•Cloud Capacity Planner
•IT automation engineer

Traditional Roles still
essential

IT Service Management

Software as a
Service

Platform as a
service

Infrastructure
as a service

Virtual Infrastructure Management

Virtual Infrastructure Architecture
Backup
and
System
Storage
Recovery

Networks

Security
7

Application for Business
•
•
•
•
•
•
•
•

Application testing and staging
Temporary processing and storage needs
Data archiving
Virtual Desktop Infrastructure (VDI)
Supplier management
Back-office optimization
Sales force management
Project management and collaboration

8

Infrastructure Cloud Services Provider
•
•
•
•

AWS
Microsoft Azure
Google App engine
Rackspace Cloud


9

Cloud Computing Architecture 1/4


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Cloud Computing Terminologies
•
•
•
•
•

Communication-as-a-Service (CaaS)
Infrastructure-as-a-Service (IaaS)
Monitoring-as-a-Service (MaaS)
Software-as-a-Service (SaaS)
Platform-as-a-Service (PaaS)


14

Cloud
Advantage

Disadvantage

•
•
•
•
•
•

• Security
• Response Time

Access
Scalable
Cross Platform
No upfront cost
Data Security
Integration


15

Session 2

VIRTUALIZATION


16

Virtualization Basics : Hypervisor
Virtualization
Hypervisor
Host VM
User Space
Drivers VM
OS kernel

MM

Guest VM User
Space
Drivers VM
Space

Guest VM User
Space
Drivers VM
Space

Drivers Virtual
Hardware

Drivers Virtual
Hardware

RM

Scheduler

Emulation

Hypervisor

Hardware


17

Virtualization Basics : OS Virtualization
OS Virtualisation
User Space
(Container)

Drivers

User Space
(Container)

MM

RM

User Space
(Container)

Scheduler

User
API

OS Kernel
Hardware


18

Virtualization Basics : Para
Virtualization
Para Virtualisation
User Space
(Container)

User Space
(Container)

User Space
(Container)

Hypervisor
Drivers

MM

RM

Scheduler

User
API

OS Kernel
Hardware


19

Benefits
•
•
•
•
•
•
•
•
•
•

Hardware Abstraction
Ease of Migration
Encapsulation of storage
Snapshots
Ease of archiving
Ease of growth
Improved Monitoring and troubleshooting
Workload consolidation
Ease of environment segmentation
Improved Remote management

20

Session 3

CLOUD NETWORK AND PRIVATE
CLOUD

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Session 4

AMAZON WEB SERVICES CLOUD


29

This session is about:
Amazon Web Services (AWS) robust, scalable and affordable
infrastructure for cloud computing.


30

5 Benefits of Using
Amazon Web Services

1. Pay-per use model
You are only charged for disk space,
CPU time and bandwidth that you use.

2. Instant scalability
Your Service automatically
scales on AWS stack.

3. Reliable/Redundant/Secure
Infrequent outages (so far).
Data is redundant in the cloud.
All services have built-in security.
* Soon will add Comprehensive to the list.

4. Most services accessed via simple
REST/SOAP API
Libraries are available in all major languages.
Minimal learning curve.

5. Amazon - Experience & Commitment
Amazon has been doing this for ~15 years.
Company-wide commitment to AWS.

Elastic Cloud
Service (EC2)

Simple Storage
Service (S3)

Simple Database
Service (SimpleDB)

Simple Queue
Service (SQS)


38

Elastic Compute Cloud (EC2)
On-demand grid

EC2 in a Nutshell
Usage:

QuickTime™ and a
decompressor
are neede d to se e this picture.

QuickTime™ and a
decompressor

QuickTime™ and a
decompressor

•
•
•
•

Create Machine Image
Deploy the image to S3
Start 1 or more instances
Use it as regular machine(s)

Main Options:

Machine
Image
(OS + Apps)

•
•
•
•


Dynamic/Static IPS
Choose cores
Choose locations
Persistence via EBS
40

Sample EC2 Use Cases
Batch Processing
 All instances are configured with the same code.
 Each instance operates on a subset of data.
 Partitions are specified in configuration file.

Web Service
 All instances are configured with the same code.
 One or more instances are configured as load balancers
(HAProxy for example).
 DNS Server distributes requests between load balancers.


41

EC2 vs. Web Hosting Company
Good
 Instantly add new instances
 Full-control over the machines and choice of the environment
 Likely cheaper (but depends on your exact situation)

Bad
 Need to put the images together and manage instances
 No dedicated technical support
(but there is premium support and RightScale solutions)

42

Simple Storage Service (S3)
Large media and everything else storage.

S3 in a Nutshell
Idea:

Amazon S3

Bucket 1

…

Put object

Bucket N

Get object

Put/Get objects into buckets
based on unique keys.

Main Features:

•
•

Public/Private access.
Support for large objects.

Client

44

Sample S3 Use Cases
Image/Video storage
 Put your media once on S3 and then serve it up
 Reads are 10 times cheaper than writes!

Serialize your Java Objects





Define unique key based on the object attributes
Write out binary serialized version to a stream
Write bytes to S3
Read them back when needed


45

Simple Database Service (SimpleDB)
Basic database and indexing service

Simple DB in a Nutshell
Simple DB Domain

Idea:

Record 1
Key1

Attributes: A1,A2…

Create flat database with
auto-indexed tables.

…

Record N
Key2

Attributes: A1,A2…

Get record
Query records

Put record

Client

Main Features:
•
•
•
•


Each attribute is indexed.
Record structure is flexible.
Basic operators in queries
Supports sorting.

47

Sample SimpleDB Use Cases
Index Media files stored on S3
 Use the same key as on S3
 Write the record with each metadata element as attribute

Store flat objects
 Use SimpleDB as a storage for non-nested data


48

Simple Queue Service (SQS)
Infinite Asynchronous Queue

SQS in a Nutshell
SQS Queue

Idea:

Message 1

Create an infinite
asynchronous queue.

…

Message N

Send
Message

Writer

Receive
Message

Main Features:
•
•
•

Multiple queues
Upto 4K messages
Message Locking

Reader

50

Sample SQS Use Cases
Twitter Friend Update
 For each update generate a task to update friends
 Process updates in order

Publish/Subscribe
 Post messages to the queue to inform multiple subscribers

Process Pipeline
 Use different queues to put, for example, and order through a pipeline.


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Contact
• Nilesh Satpute
• www.appliedcloudcomputing.com
• nilesh@mail-acc.com (official email)
• nileshsatpute@gmail.com (personal email id)
• Facebook http://www.facebook.com/nilesh.satpute.5
• http://www.facebook.com/AppliedCloudComputing

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PHOTOGRAPHS FROM IIT
WORKSHOP

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Cloud computing workshop at IIT bombay

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