Gigaspaces.com - Application Server

E-Commerce-Overview

Can your e-commerce platform scale to meet highly varying seasonal loads?

Without any downtime or sacrifice in performance?

And while actually saving on the cost of your hardware?

E-commerce sites need to be available 24/7, while guaranteeing a smooth, consistent customer experience − no matter how many users are on your site. This means that you need an application infrastructure that is always on, and always delivering exceptional performance − but that will also scale up and down as needed. On demand, and automatically.

GigaSpaces XAP can ensure you meet any customer traffic.

GigaSpaces eXtreme Application Server (XAP) is a virtual application platform that enables you to develop, deploy, and manage your application, data, and messaging sevices with a single product.

XAP IS THE ONLY SINGLE-PRODUCT SOLUTION THAT PROVIDES TRUE END-TO-END SCALABILTY, DELIVERING:

  • Dynamic provisioning to meet fluctuating loads.
  • High performance for latency-sensitive environments.
  • Continuous uptime/high availability through automatic failover and self-healing.
  • Cost efficiencies through maximum resource utilization, standard development and deployment environments, and advanced management tools.


title1:
Holiday shopping arrives, and your traffic multiplies.
text1:
  • Tuning code and queries won't take you far. Managing multi-tier clusters is complex and expensive.
  • XAP ensures linear scalability:
    • In memory data partitioning enables unlimited load balancing
    • Elastic provisioning of resources lets you scale up/scale down as required

title2:
Downtime or sluggish response times... Customer loyalty is minimal, and the competition is just a click away.
text2:
  • Hot backup mechanisms in multi-tier architecture are expensive and failure-prone.
  • XAP is geared for High Availability:
    • Hot backup − Real-time sync with backup nodes
    • Built-in monitoring and recovery mechanism
    • Archives data to any data source
    • Fully transactional − keeps data consistent

title3:
Fast, ongoing release of new social features is needed for better lead-gen and targeting
text3:
  • Social context dictates complex yet flexible data models. RDBMS is too rigid and cumbersome.
  • XAP ensures quick roll-out of new features:
    • Rich support of document-based schema for flexibility
    • Dynamic code deployment for continuous feature roll-out with no need to undeploy

title4:
Improving conversion rates requires real-time customized content
text4:
  • Campaign rules use heavy queries on BI and user preference repositories.
  • Dynamic parts caching is too sophisticated for CMS.
  • XAP provides superior performance:
    • In-memory data − No physical DB in runtime stack
    • Parallel processing − No joins, increased efficiency
    • Data-aware routing & multi-indexing − Faster queries, reduced contention
    • Document-based queries − Easily traverse complex object graph

  • Tuning code and queries won't take you far. Managing multi-tier clusters is complex and expensive.
  • XAP ensures linear scalability:
    • In memory data partitioning enables unlimited load balancing
    • Elastic provisioning of resources lets you scale up/scale down as required
  • Hot backup mechanisms in multi-tier architecture are expensive and failure-prone.
  • XAP is geared for High Availability:
    • Hot backup − Real-time sync with backup nodes
    • Built-in monitoring and recovery mechanism
    • Archives data to any data source
    • Fully transactional − keeps data consistent
  • Social context dictates complex yet flexible data models. RDBMS is too rigid and cumbersome.
  • XAP ensures quick roll-out of new features:
    • Rich support of document-based schema for flexibility
    • Dynamic code deployment for continuous feature roll-out with no need to undeploy
  • Campaign rules use heavy queries on BI and user preference repositories.
  • Dynamic parts caching is too sophisticated for CMS.
  • XAP provides superior performance:
    • In-memory data − No physical DB in runtime stack
    • Parallel processing − No joins, increased efficiency
    • Data-aware routing & multi-indexing − Faster queries, reduced contention
    • Document-based queries − Easily traverse complex object graph