Cloud Computing

A Walk in the Clouds Comparing Google AppEngine , Amazon AWS and Sun Project Caroline Niraj Juneja Blog: http://www.gandalf-lab.com Web: http://www.webscalesolutions.com

What are we talking about today
Really Quick Overview of Cloud Computing
Market Analysis – POV’s
Comparing three clouds
Amazon AWS
Google App Engine
Sun’s Project Caroline
Enterprise Adoption
Other Players
Hewlett Packard , SAP , Oracle , IBM
3Tera , Enki , Enomaly
Niche Application Players (Vertica , Greenplum )

What is Cloud Computing
The Big Definition
Wikipedia - Cloud computing is Internet (' Cloud ') based development and use of computer technology (' Computing '). The cloud is a metaphor for the Internet (based on how it is depicted in computer network diagrams) and is an abstraction for the complex infrastructure it conceals [1] . It is a style of computing where IT-related capabilities are provided “ as a service ” [2] , allowing users to access technology-enabled services from the Internet ("in the cloud") [3] without knowledge of, expertise with, or control over the technology infrastructure that supports them [4] . According to the IEEE Computer Society "It is a paradigm in which information is permanently stored in servers on the Internet and cached temporarily on clients that include desktops, entertainment centers, table computers, notebooks, wall computers, handhelds, etc." [5] . “
No Consensus in the industry for a good definition of “Cloud computing” . Today anything and everything internet will come with a cloud computing logo
My Definition: If the time difference between - your application needs more capacity and gets more capacity is greater than instantly it is not cloud computing. i.e if there is no programmatic way to provision hardware ,no pooled capacity and even worst a purchase order to get new hardware/software.
The Bottom-line
Changes the economics of Computing from being a Capital investment to Utilities (You buy electricity you don’t buy generators )
Changes the way software is developed – Hardware provisioning , Deployment and Scaling now part of developer lifecycle as a Program / script as compared to a Purchase order
Automates a whole bunch of infrastructure related tasks and activities leading efficiencies and cost savings

Some Myth’s and perceptions
Isn’t it all about hardware provisioning?
Not Really – It is also about changing of Software Development Lifecycle with scaling up , hardware provisioning and deployment all under the control of developer written programs
What about Security and Enterprise Adoption ?
Two answers
Private Clouds – You will start seeing the adoption of the cloud computing paradigm come into the corporate data center. Big iron vendors will start selling Private Cloud Products.
Refer link here http://goanimate.com/go/movie/0tTsEaeL-8o8?utm_source= emailshare&uid =0AhZ8_zfEIec
Just as Banks became a safe place to keep your money away from your safe-box in your grandfathers home , The Cloud will become the default place to keep your data in the future.

Some Myth’s and perceptions
Isn’t this similar to Time Sharing?
Yes to some extent.
But it is not all about sharing of resources. It really boils down to cost savings as a result of automation and changing the SDLC
How is it different from ASP?
The ASP value-add was the typical value you get from an outsourcing company. Leverage knowledge base, trained manpower and some shared infrastructure to guarantee reliability of operations and potential cost savings
Cloud Computing is taking the ASP concept to the next level with zero to little amount of “People Services” and focus on the computing as a utility.

Market Analysis Bare Metal People Process based hardware provisioning HaaS – Hardware as a Service Programmatic Interface for Hardware Provisioning PaaS – Platform as a Service (Hardware Provisioning Hidden – Automatic Scaling) SaaS – Software as a Service (Platform , Scaling and Hardware transparent) Flexibility of Offering Google Apps Increasing Virtualization Gmail Salesforce.com Amazon EC2/S3 Sun Caroline Force.com Google app engine Amazon Simple DB EDS (Infrastructure Outsourcing) In house hosted servers Microsoft Azure Live workspace Microsoft

Market Analysis Bare Metal People Process based hardware provisioning HaaS Hardware as a Service Programmatic Interface for Hardware Provisioning PaaS Platform as a Service (Hardware Provisioning Hidden Automatic Scaling) SaaS Software as a Service (Platform , Scaling and Hardware transparent) Increasing Virtualization Amazon Network Device Layer Google Kindle Alexa Simple DB EC2 S3 Microsoft Sun Micro IBM HP Build there own App Engine App Engine Google Apps Android Win Mo Live Azure Azure Core Business Caroline Caroline J2ME Core Business On Demand Web sphere Potential Core Business Partner Strategy Partner Strategy IPAQ Salesforce com Force.com Salesforce Java Consumer Space Bare Metal People Process based hardware provisioning HaaS Hardware as a Service Programmatic Interface for Hardware Provisioning PaaS Platform as a Service (Hardware Provisioning Hidden Automatic Scaling) SaaS Software as a Service (Platform , Scaling and Hardware transparent) Increasing Virtualization Amazon Network Device Layer Google Kindle Alexa Simple DB EC2 S3 Microsoft Sun Micro IBM HP Build there own App Engine App Engine Google Apps Android Win Mo Live Azure Azure Core Business Caroline Caroline J2ME Core Business On Demand Web sphere Potential Core Business Partner Strategy Partner Strategy IPAQ Salesforce com Force.com Salesforce Java Consumer Space

Market Analysis (POV –Sun Microsystems) App Engine Source: http://www.projectcaroline.net

Market Analysis (POV –Sun Microsystems) Source: http://www.projectcaroline.net

Market Analysis (POV – Red Monk) Source: http://www.redmonk.com

Comparing Three clouds
Discussion to focus on
Amazon Web Services
Google App Engine
Sun’s Project Caroline
Why these ?
Most talked about (except Caroline)
Gives a good overview around the breadth of offerings in the space

Amazon Web Services
Offerings
Hardware as a Service (HaaS) AWS-EC2
Storage as a Service – AWS-S3
Database as a Service – SimpleDB
Queuing as a Service – SQS
Aggregate Offerings
Pretty much anything you can think off
Oracle , Solaris , Hadoop Clusters (NY times), Specialized Applications (Vertica DB) , Animoto

AWS – Some Use Cases
AWS – Some Use Cases
Start up’s (low entry point and can get going with great infrastructure in a day)
SaaS vendors (Vertica ) – a logical marriage between SaaS and HaaS. AWS just becomes a component in the Supply Chain
Enterprise Use Cases
Testing –(Performance testing ,Compatibility Testing)
Massive Batch Jobs – Hadoop Image (NY Times example) , Animoto uses 3000 EC2 instances
Claim to Fame
Came from Bottom up in the market and took the low end of the market by storm
Low Entry point (10 cents an hour for a CPU) and can scale up to Terabytes of storage and thousands of server at the same price structure
Everything is Automated and has programmatic access (No calls to system admin’s to configure a parameter or restart a server)

Google App Engine
Exposes the Google Infrastructure to the outside world
BigTable
Python Language runtime
Access to some google api’s (authentication , image manipulation)
APIs
The Python Runtime , The Python environment in which your app runs; CGI, sandbox features, application caching, logging
Datastore API , BigTable – Google’s Database
Images API , the image data manipulation service
Mail API , sending email from your app
Memcache API , the distributed memory cache
URL Fetch API , accessing other Internet hosts from your app
Users API , integrating your app with Google Accounts
You should expect to see more API’s exposed. More specifically the Google API’s for Docs , GWT , etc

App Engine - offering
Claim to Fame
Free (to start with)
BigTable ( a real winner)
Essentially a good way to get into the google world and potentially get acquired by google

Use cases
Webscale Database needs (BigTable) – Map Reduce Programming model
Start up (who want to leverage google apis and sign on capability)
Enterprise Use Cases
None right now
But potentially Application’s requiring
to link the web presence of customers
(blogs , open social) to the Enterprise
Applications (Example customer
insight’s into CRM etc) could use
AppEngine.
if you are a Google Apps Shop there
Is a case of hosting on AppEngine
Google App Engine

Comparing Amazon and Google Stacks Source: http://www.zdnet.com

Project Caroline – Sun Microsystems
Research project developing a platform for development and deployment of long-running Internet services
Utility scale: lots of customers and services on a single large shared grid, with secure isolation
Full programmatic control of distributed compute, storage, and network resources
Services can configure and flex their own resource usage up and down in real time
High level of resource abstraction
Will potentially end up in the “Private Cloud” for the Enterprise along Amazon like offerings for the Bottom market

Developer View

What is the API ?
Essentially a way to Provision and manage the system resources like
Network (IP Addresses)
Databases
Filesystem
Standard Configurations available for Tomcat / Glassfish / Ruby
Can create new configurations for new server types
Ant Based Environment also available for controlling the grid
Direct Access from netbeans to integrate the GRID workflow into SDLC

What is the API ?
File System Creation :
myFS = grid.createBaseFileSystem(“myFS”,new BaseFileSystemConfiguration());
Network Creation :
myNet = grid.createNetwork(“myNet”, 16,new CustomerNetworkConfiguration());
IP address allocation
dbAddr = myNet.allocateAddress(“dbAddr”);
intAddr = myNet.allocateAddress(“intAddr”);
extAddr = grid.allocateExternalAddress(“extAddr”);
Database Creation
myDB = grid.createPostgreSQLDatabase(“myDB”,
new PostgreSQLConfiguration(
dbAddr.getUUID(), null));

Impact of Project Caroline Model
Automate deployment & day-to-day operations
Faster response times
Capture knowledge in programs not process books
Services construct their environment instead of being inserted into an existing one
Simpler for operations and developers
Isolation between service instances
Multi-process components
Developer workflow

Other Players
Big Iron Vendors
Hewlett Packard.: A joint project between Yahoo , HP and Intel . Also watch out for EDS related Enterprise Offerings
IBM : On Demand Computing
Software Vendors
Microsoft – Project Reddog
Oracle – AWS Announcement’s plus more to come
SAP – Business by Design
Salesforce – force.com
Niche Players
3Tera , Enki
Vertica
Dataware house appliances (Greenplum , Neoview)
A whole bunch others

“ there will be small number of big players and a large numbers of small players in the cloud computing space ”
– Dr. Eric Schmidt , CEO Google
“ we had enough complexity inside Amazon that we were finding we were spending too much time on fine-grained coordination between our network engineering groups and our applications programming groups. Basically what we decided to do is build a [set of APIs] between those two layers so that you could just do coarse-grained coordination between those two groups. Amazon is, you know, just a web-scale application. “
- Jeff Bezos , CEO Amazon on “how did Amazon end up creating AWS leaving the big iron vendors behind”
The world needs only five computers.
- Thomas Watson , CEO IBM (1943)
- and then re-phrased by Greg Papadopoulos – CTO Sun Microsystems
“ there will be, more or less, five hyperscale, pan-global broadband computing services giants. There will be lots of regional players, of course; mostly, they will exist to meet national needs. That is, the network computing services business will look a lot like the energy business: a half-dozen global giants, a few dozen national and/or regional concerns, followed by wildcatters and specialists.”

Final Reflections
In my diagram below – There will be one layer added above the SaaS layer , which will be the device layer that will be realized as a result of everything moving to the cloud - Networked Refrigerators , Remote Controlled Vacuum Controllers or any and every device on the network were interesting discussions uptill now but will become a reality with the cloud.
The above is exactly what happened with the build-out of the last big grid – electricity in the 20 th century. A hundred years ago, when Tesla, Westinghouse, Insull, and others were building the electric grid - companies viewed the effort in terms of the cost reduction to their business: in particular, the power they needed to run the machines that produced the goods they sold. But the real revolutionary aspect of the electric grid was not the way it reduced the cost structure, but the way it created new businesses altogether. We saw an avalanche of new products outfitted with electric cords, many of which were inconceivable before the grid's arrival
Network Device Layer Growth Engine for the next generation

Demos
Project Caroline – animal guess example
Google App Engine – Guest Book
Amazon EC2 and S3 Console

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Cloud Computing

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