How To pronounce XAP

Jim Liddle 12 th February, 2009 How to Pronounce XAP How the Cloud is changing next generation middleware

Middleware Evolution in last 10 years CORBA J2EE JEE / Spring Today Deployed in-house or DC Deployed in-house, DC , Virtualized or public cloud

Convergance….or not ? Mainstream Middleware today Distributed Data Caching Compute Grid Event Processing Application Server Messaging Data Virtualization Amazon: EC2 + Hadoop +SQS +SimpleDB PaaS ex. Google App Eng. NOSQL etc On Cloud Platform Gap

The Battle of Platforms Begins With the War of Programming Models (Gartner) Other I (PHP, Perl, Ruby/R, Python, Apex Code) Microsoft Application Platform Java ( Java EE/JEE , Spring, Tomcat, JSLEE, ColdFusion, POJO) Other II (CICS, IMS, ABAP, Tuxedo) 2008 Concurrent Requests New Enterprise Applications 10 100 1,000 10,000 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Java EE Microsoft Application Platform .NET Other II Other I 100,000 Java Extreme Processing/JXP (JSLEE, XTPP, Spring) Java Lightweight/JLW (Tomcat, POJO, ColdFusion, Spring) APaaS — Application Platform as a Service GigaSpaces + Virtualization Stack = support both .Net (Microsoft) and Java 2013 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 10 100 1,000 10,000 Microsoft Application Platform (circa 2013) Other II Other I Concurrent Requests Java EE JXP 100,000 JLW

Cloud is forcing Middleware to evolve
Ability to work in virtualized environments
Integrate well i.e. EC2, XEN, VMWARE etc
Provisioning & Management
Ability to support ‘on demand’
Support scale on demand – “elasticity”
Support scale down
Support this on public/private/hybrid infrastructures
Ability to self-balance
Support or integrate with Map / Reduce style services
Setting up messaging infrastructure
Plumbing services together
Speed – the faster the better
Latency is more important on the cloud
Time costs £
Multi-tenancy Support
Out of the box
Simple to use
Real-Time Monitoring and Management
Event based support
Fine Grained & Coarse grained
Security
End-to-end

GigaSpaces – Next Generation Middleware Stack
Core PaaS Services (Middleware as a Service)
Data
Messaging
Parallel Processing (Map/Reduce)
Web Support Services
Session high availability
Load balancer integration
Integration with web container
IaaS/Data Center Support Services
Application cluster automation
Middleware Troubleshooting
Middleware Security
Middleware real-time monitoring
Middleware as a Service IaaS / Data Center PaaS Shared Pool of Virtual Machines DataGrid Messaging MapReduce Java/Spring .Net Virtualization Infrastructure (Network, Storage, CPU)

GigaSpaces XAP brings real-time application SLA’s to wherever the Application is deployed

What about the Financials ?
Consistent response time under fluctuating load
“ A brokerage can lose up to $4M per 1ms of latency” - The Tabb Group
“ An additional 500ms delay resulted in -20% traffic” - Google
“ An additional 100ms in latency resulted in -1% sales” - Amazon
Reducing the cost of over provisioning (Elasticity )
Reducing license cost - consolidating of products to a single product
Reduced HW cost - Improving the efficiency of application (Memory based solution)
Reducing the downtime cost
Reducing the cost of power consumption (large part of the CPU cycles of existing software is spent on backups and database transactions)
Reducing the development time and maintenance complexity

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…

How To pronounce XAP

by jimliddle

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