Cloud Crowd GigaSpaces Presentation

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

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

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

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 )

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

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

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

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

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…

Cloud Crowd GigaSpaces Presentation

by jimliddle

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