GigaSpaces – PaaS for Public & Private Clouds GigaSpaces: Jim Liddle: Sales & Operations Director for UK, Eire & Scandinavia

What would Organisations really like to do ?

GigaSpaces solution: Middleware as a Service All resources are shared Machines get virtualized Middleware gets virtualized Auto-balanced, Managed Virtualized Machines Load Balancer Business Tier Web Tier Virtualized Application Data Tier Messaging Tier Virtualized Messaging Virtualized Data Virtualized Web

All resources are shared

Machines get virtualized

Middleware gets virtualized

Auto-balanced, Managed

GigaSpaces Middleware Core Services Core PaaS Services (Middleware as a Service) Data as a Services Messaging as a Services Parallel Processing as a Service (Map/Reduce) services Web Support Services Session high availability Load balancer integration Integration with web container Data Center Support Services Application cluster automation Trouble shooting for distributed application Middleware Security Middleware real time monitoring

Core PaaS Services (Middleware as a Service)

Data as a Services

Messaging as a Services

Parallel Processing as a Service (Map/Reduce) services

Web Support Services

Session high availability

Load balancer integration

Integration with web container

Data Center Support Services

Application cluster automation

Trouble shooting for distributed application

Middleware Security

Middleware real time monitoring

GigaSpaces vSphere integration Application Repository Multi Tenant Application Provisioning vSphere - IaaS App A App B Application Deployment Package 2 - Deploy 1- Install Provision 3 - Manage

Our Approach to IaaS Vendors Platform as a Service Middleware as a Service Middleware Services Virtualization and Infra API Amazon Data Centers (Public) Elastic MapReduce SimpleDB SQS Auto Scaling S3 EC2 Mgmt & Monitors DataGrid Messaging MapReduce vSphere Mgmt & Monitors Java/Spring .Net

Middleware as a Service On Demand Automatic provisioning Multi-tenant Use shared resources Auto-scale Span across more machines Down scale when needed Always on Handle fail-over automatically Shared Pool of Virtual Machines Create a Data Grid Min (10G), Max (100G) Create a Data Grid Min (10G), Max (200G) Load data Load data

On Demand

Automatic provisioning

Multi-tenant

Use shared resources

Auto-scale

Span across more machines

Down scale when needed

Always on

Handle fail-over automatically

Services API App API Façade support data, messaging and parallel processing All API share the same clustering, high availability, deployment, licensing,.. Support Java, .Net " All problems in computer science can be solved by another level of indirection" ( Butler Lampson )

API Façade support data, messaging and parallel processing

All API share the same clustering, high availability, deployment, licensing,..

Support Java, .Net

" All problems in computer science can be solved by another level of indirection" ( Butler Lampson )

Shared cluster –Services API (Cont) Remoting abstraction on top of the shared cluster Transparent to the application You get: Location transparency Dynamic service discovery Sync. / async. invocations Cluster wide invocations (Map/Reduce) Data affinity Automatic method call failover

Remoting abstraction on top of the shared cluster

Transparent to the application

You get:

Location transparency

Dynamic service discovery

Sync. / async. invocations

Cluster wide invocations (Map/Reduce)

Data affinity

Automatic method call failover

Live Demo Cloud enabling existing JEE application

Standard Unmodified Stateless Web Application Typical Architecture Network load balancer Web/App containers DB Server Challenges in dynamic env. Static pre-provisioning Fixed IPs Reliance and shared physical storage Requires manual fixed changes Downtime Labor intensive Database Network Load-Balancer Web Container/App Server Web Container/App Server

Typical Architecture

Network load balancer

Web/App containers

DB Server

Challenges in dynamic env.

Static pre-provisioning

Fixed IPs

Reliance and shared physical storage

Requires manual fixed changes

Downtime

Labor intensive

Auto Balancing in action (1/2) Web Service Data Grid Database

Auto Balancing in action (2/2) New Machine Auto Rebalancing

Summary – Best Practices Avoid radical change, enabling a gradual process GigaSpaces supports traditional on-premise and public/private cloud from the same product & application Choose an architecture supporting linear scalability Even if you application does not need to scale today, what about tomorrow ? Minimize vendor lock-in Enable application portability and freedom of choice of: Cloud / Infrastructure provider, web container, programming language, database Minimize API lock in: Use of standards API Abstractions – when standards are not available Future proof your application Don’t make decision today, but be ready to make one without major effort Avoid long-term commitment – choose the right licensing model

Avoid radical change, enabling a gradual process

GigaSpaces supports traditional on-premise and public/private cloud from the same product & application

Choose an architecture supporting linear scalability

Even if you application does not need to scale today, what about tomorrow ?

Minimize vendor lock-in

Enable application portability and freedom of choice of:

Cloud / Infrastructure provider, web container, programming language, database

Minimize API lock in:

Use of standards

API Abstractions – when standards are not available

Future proof your application

Don’t make decision today, but be ready to make one without major effort

Avoid long-term commitment – choose the right licensing model

The Pet Clinic Petclinic Popular example Standard web application stack. Demo outline: 1. Unmodified Pet-Clinic Dynamic web scaling HTTP session resiliency 2. Modified Pet Clinic Reduce database bottlenecks Superior performance (100x times) Dynamic linear scalability – grow and shrink based on application needs Use Map/Reduce to parallelize the application

Petclinic

Popular example

Standard web application stack.

Demo outline:

1. Unmodified Pet-Clinic

Dynamic web scaling

HTTP session resiliency

2. Modified Pet Clinic

Reduce database bottlenecks

Superior performance (100x times)

Dynamic linear scalability – grow and shrink based on application needs

Use Map/Reduce to parallelize the application

About GigaSpaces Technologies 75+ Cloud Customers 300+ Direct Customers Among Top 50 Cloud Vendors Enabling applications to run a distributed cluster as if it was a single machine…