A Walk in the Clouds Comparing Google AppEngine, Amazon AWS and Sun Project Caroline Niraj Juneja...
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Transcript of A Walk in the Clouds Comparing Google AppEngine, Amazon AWS and Sun Project Caroline Niraj Juneja...
A Walk in the CloudsComparing Google AppEngine , Amazon AWS and Sun Project Caroline
Niraj JunejaBlog: http://www.gandalf-lab.comWeb: 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 capacityand 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 ServiceProgrammatic 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
Incr
easi
ng V
irtua
lizat
ion
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)
Incr
easi
ng V
irtua
lizat
ion
Amazon
Network Device Layer
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 spherePotential
Core Business
Partner Strategy
PartnerStrategy
IPAQ
Salesforce com
Force.com
Salesforce
The Color Gradient indicates Increasing Desire to Enter the Space
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)
Incr
easi
ng V
irtua
lizat
ion
Amazon
Network Device Layer
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 spherePotential
Core Business
Partner Strategy
PartnerStrategy
IPAQ
Salesforce com
Force.com
Salesforce
The Color Gradient indicates Increasing Desire to Enter the Space
Java Consumer Space
Market Analysis (POV –Sun Microsystems)
App Engine
Source: http://www.projectcaroline.net
Source: http://www.projectcaroline.net
Market Analysis (POV –Sun Microsystems)
Source: http://www.projectcaroline.net
Market Analysis (POV –Sun Microsystems)
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 allocationdbAddr = myNet.allocateAddress(“dbAddr”);intAddr = myNet.allocateAddress(“intAddr”);extAddr = grid.allocateExternalAddress(“extAddr”);
Database CreationmyDB = 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