Best Practices for Building Successful Cloud Projects

John P. Giubileo
EVP & GM, Americas
GigaSpaces Technologies
Best Practices for Building Successful Cloud Projects

Session Abstract: Where Business Meets the Cloud
“Best Practices for Building Successful Cloud Projects"–
A session providing best practices and guidelines for addressing common concerns while implementing cloud projects in today’s enterprise environments.
Key Topics:
What are some of the most common use cases today
What are the most popular paths being used
What are the most common concerns for adoption
What is GigaSpaces doing in the cloud
Real world examples of how our customers are leveraging the cloud

Navigating the Maze to a Successful Cloud Deployment
Start Here
Public Cloud
Cloudburst
Cloud Spanning
SaaS
Virtual Private Cloud (VPC)
Cloudware
Hybrid Cloud
Private Cloud
Cloudstorming
External Cloud
IaaS
Vertical Cloud
Cloud-Oriented Architecture (COA)
Cloud Service Architecture (CSA)
Cloudsourcing
PaaS
Inter-Cloud
Cloud Portability
Start Here

Standardizing on Terms for Today
Software as a Service (SaaS)
Off-premise delivery of an application
Multi-tenant, Scalable
Pay-per-Use or Pay-per-User subscription model
Application Infrastructure as a Service (AIaaS)
Servers as a Service with some application services
Multi-tenant, elastic compute environment
Pay-per-use pricing model
Application Platform as a Service (APaaS)
In-cloud application platform for the development and deployment of applications
Multi-tenant, elastic, high-performance
Similar middleware capabilities and components to on-premise application stacks

Business Drivers and Usage Scenarios
IT as a Service AIaaS/ APaaS
Increase application productivity and agility, focus on core business competency
Looking for High-end enterprise-class capabilities, including scalability, performance, and reliability without in-house IT investments
Reduce operating costs for new applications and business processes
Gain a competitive edge
Broader access than what is available from legacy on-premise applications
POCs / Testing / Prototyping
Better, Faster, and Cheaper way to keep up with the demands of the business
Lower cost of sale/ Shorter Sales Cycle
Faster Time to market
A quick way to prototype and prove market and architecture viability
Production scale testing
SaaS enablement
Alternative delivery model, market expansion, speed and cost to market

Today’s Popular Routes to the Cloud
PaaS for Consumer Apps
“Servers as a Service”
Virtual Servers
Virtual Servers
IM Java/.Net App Server
Virtual Servers
Virtual Servers
Virtual Servers
Lightweight App Server
In Memory Data Grid
Non-Relational Database
Cloud Computing Abstraction
Non-Relational Database
Infrastructure as a Service
Simple but limited customization capabilities optimized for consumer applications
Full control of the environment but
does not eliminate the middleware complexity
Flexibility of AWS + Simplicity of GAE + Enterprise Grade Capabilities
PaaS for Enterprise Apps

Common Concerns for Cloud Adoption
The Perceived Risks of Newness of the Cloud Computing Model
Proprietary Programming Models and Lack of Standards
Data Security Concerns
Maturity of Leading Software Vendors Cloud Offerings
Maturity of APaaS: Ready for Enterprise Computing Requirements?

Tips for Overcoming the Concerns
The Perceived Risks of Newness of the Cloud Computing Model
Use mature solutions that are already offered and proven off the cloud
Take a gradual approach; e.g. first use the Cloud for testing, then for non-mission critical applications, etc.
Proprietary Programming Models and Lack of Standards
Use standards based solutions that enable portability between on-premise and off-premise infrastructures to reduce vendor lock-in
Data Security Concerns
Use the public Cloud for transaction handling, keep the database on-premise
Maturity of Leading Software Vendors Cloud Offerings
They’re getting there …
Maturity of APaaS: Ready for Enterprise Computing Requirements?
Some are! Let’s see how we and our clients did it.

Gartner: GigaSpaces IS Ready!
GigaSpaces' eXtreme Application Platform 7.0 is one of the first industry examples of a cloud-enabled, extreme transaction processing platform.… Other vendors, including Oracle and IBM, plan to extend their DCPs with OSGi, Spring and Java EE elements. But none has yet architected a full cloud-enabled XTPP like GigaSpaces.
“
”
Gartner Research Report, July 21st, 2009

Our Secret Sauce = Space Based Architecture (SBA)
A software architecture pattern for achieving linear scalability of stateful, high-performance applications
Inspired by Yale’sTuple-Space Model
Partitions the application and packages all middleware functions into a network of lightweight scalable units that live in a memory cloud.
The best suited architecture for highly distributed applications & the Cloud
Linear Scalability

GigaSpaces eXtreme Application Platform (XAP)
An enterprise-grade application server for deploying and scaling Java and .NET applications under the most demanding and changing requirements.
Single Integrated Application Platform
Reduced complexity, no middleware integration, fewer license fees
High Performance
Less moving parts or network hops, guaranteed performance under any load
Scalable on Demand
Dynamic linear scalability, reduced cost of business growth, maximum hardware utilization
Highly fault tolerant and resilient
Zero downtime under unpredictable loads
Open Architecture
Minimize vendor lock-in, protect historic investments

A Complete Software-as-a-Service Platform
Users
Users
Users
High-Performance
Auto Scaling
Multi-Tenancy
Single click deployment
Built-in portability
Cloud Mgt Framework
Support of Standards:
Development frameworks
Java, .NET, C++ and scripting languages
Business Application as a Service
Tenant App. View
Tenant App. View
Tenant App. View
User Application
Business Application
Messaging
Data
Grid
SLA
GigaSpaces XAP
Scale-out Application Server
Platform as a Service (PaaS)
Cloud Computing Framework for XAP
Orchestration
Monitoring
CPU
Storage
Network
Billing
Public cloud
Private Cloud

IT As A Service (Enabling the Business)
Customer:
Primatics Financial, offering a high-performance risk analytics/modeling solution on Amazon EC2 for investment banks and mortgage companies
Cloud Business Drivers:
On-Demand Performance: jobs must run in a matter of hours not days meeting the customer SLA’s at a low cost; application must auto-scale
Pay-per-use model to alleviate the need for large upfront per customer infrastructure investments, improving company’s cash flow
Primary Concern Addressed:
Data Integrity concern addressed by keeping each clients data in a separate processing instance
Results:
Full system prototype in 3 weeks
Performance of 60M records in 13 minutes = 77K records/sec on MySQL
Auto-scaling application removing the need for human intervention
Increased system reliability; reducing costs associated with processing restarts

SaaS Enablement
Customer:
A large global telecommunications service provider converting their on-premise IP telephony call-center application to a SaaS enabled global offering
Alternative delivery model of their legacy on-premise solution
Expand solution into un-tapped market segments; primarily SMB
Prove market viability and application scalability without large infrastructure investment
The risk of Cloud was minimized by using the same application platform and code base as their on-premise solution
Results:
Within a few weeks the application was deployed on a 150-node cluster on the cloud
Response time of several milliseconds tested to 1 million concurrent users.

IT As A Service (APaaS)
Customer:
UK’s leading provider of mobile phone’s and broad band services.
Solution platform that reduced the time and cost to launch new services to market
Required a real-time scalable front end to their consumer services offerings capable of handling unknown peak loads
Data security was ensured by persisting customer data to backend on-premise servers
Results:
In less than 2 months they created a platform that met their business requirements and increased their business agility
Reduced their front end investment costs for new services
Lowered their investment exposure for services that were rejected by the market
Improved the performance and scalability of those services that had high adoption

Demos and Proof of Concepts
Customer:
GigaSpaces Technologies
Improve tools available (POC’s/demos) to the sales organization
Enable customers to have a hands on experience to both GigaSpaces and Cloud Computing
A need to reduce the cost of maintaining these environments
Results:
Fast proof of concepts that demonstrate the full functionality of our product both on or off premise.
An easily maintained live demo environment available to the sales teams and customers anyplace in the world
Ability to update infrastructure so latest capabilities are broadly available from a single place.
Try it yourself for free: www.gigaspaces.com/mycloud

Final tips for utilizing the Cloud more efficiently
Use high performance platforms to reduce machine hours
deliver the same performance with less hardware => save as much as 80-90% of the machine hours required per month
Keep your data in-memory and use less storage
saves the need to purchase disk-based storage from the cloud vendor; alleviates data security concerns
Use solutions that are auto-scaling
Run apps only when actually needed to substantially save machine hours on the cloud
Don’t use the cloud for ongoing development
Use solutions that enable you to develop locally using an identical environment to the one running on the cloud => eliminate machine hours spent on ordinary development
Test on the cloud and save in-house testing servers
Use mature solutions to test on the cloud and then deploy applications in your local data center => eliminate or re-purpose servers dedicated to testing.

Q&AThank You!
www.gigaspaces.com/mycloud

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Best Practices for Building Successful Cloud Projects

by Nati Shalom on Aug 18, 2009

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Best Practices for Building Successful Cloud Projects Presentation Transcript