Web Oriented Architecture at Oracle
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WOA (Web Oriented Architecture) is an architectural style based on REST principles that uses resources and URIs to identify types of web objects. It provides a unified information architecture that is scalable, reusable, and federated. WOA focuses on resources rather than explicit services and uses HTTP as the primary interaction protocol. It is a substyle of SOA but emphasizes bottom-up design and loose coupling between services. Key technologies from Oracle that support WOA include WebLogic Portal, Oracle Coherence Data Grid, and RESTful APIs.
Web Oriented Architecture at Oracle
- 1. Web Oriented Architecture at Oracle Emiliano Pecis Technology Business Unit
- 2. Agenda
- 3. What is WOA
- 4. WOA and the “Network effects” People is: the “Network effects” Tags: facebook blogger wikipedia digg twitter fickr networkeffects
- 5. <Insert Picture Here> “ In other words, the Web model provides a single, open, and unified information architecture that is consistent, easily consumed, extremely scalable, securable, very reusable, resilient, and highly federated.” Dion Hinchcliffe Founder, Hinchcliffe & Co. Dion Hinchcliffe’s Blog
- 6. WOA – Web Oriented Architecture Tags: URI WOA REST web markup resources
- 7. WOA – All About Resources Tags: WOA REST resources URI SOA HTTP
- 8. WOA vs SOA Tags: WOA REST resources ws-* rich reach pox json HTT
- 9. WOA is a substyle of SOA but… Tags: WOA REST SOA top-down bottom-up ws rich reach
- 10. WOA and low case semantic web Tags: browser rest ajax microformats web3.0 semantic lowcase
- 11. WOA and (server side) scalability Tags: WOA REST datagrid database scalability
- 12. WOA and (server side) scalability Client side Server side Tags: WOA REST datagrid database scalability
- 13. WOA at Oracle
- 14. Oracle Software involved in WOA Tags: ensemble webcenter portal weblogic framework REST disc portlet dvt coherence datagrid
- 15. WebCenter Ensemble Portal Portlet Portlet Portlet Portlet Oracle WebCenter Ensemble Consumer Widgets Java App WSRP REST .NET App .NET Control .NET Control .NET Control .NET Control Static HTML Other App: Cold Fusion, PHP, Perl, Ruby on Rails, REST Tags: ALUI Ensemble rest woa php perl ruby on rails wsrp
- 16. Portal Framework REST Services & Disc Tags: Portal REST DISC Weblogic Portlet ajax dvt
- 17. HTTP Portlet Publishing Tags: http portlet publishing webloigc portal igoogle widget
- 18. Dynamic Visitor Tool Tags: dynamic visitor tool svt ajax portlet customization web20 portal
- 19. Data Grid
- 20. Oracle Coherence Data Grid Provides a reliable data tier with a single, consistent view of data Enables dynamic data capacity including fault tolerance and load balancing Ensures that data capacity scales with processing capacity Data Services Mainframes Databases Enterprise Applications Real Time Clients Distributed in Memory Data Management Oracle Coherence Data Grid Tags: http portlet publishing webloigc portal igoogle widget Web services Web services
- 21. Data Grid Uses Caching Applications request data from the Data Grid rather than backend data sources Analytics Applications ask the Data Grid questions from simple queries to advanced scenario modeling Transactions Data Grid acts as a transactional System of Record, hosting data and business logic Events Automated processing based on event Tags: datagrid caching analytics transactions events
- 22. Coherence: A Unique Approach Members share responsibilities (health, services, data…) Completely Peer-to-Peer No Single Points of Bottleneck (SPOBs) No Single Points of Failure (SPOFs) Linearly scalable to hundreds of servers by design No Masters / Slaves etc. Data Grid members work together as a team Tags: datagrid coherence members nomasters noslaves spf spb peer-to-peer
- 23. Partitioned Topology : Data Access Data spread and backed up across Members Transparent to developer Members have access to all Data All Data locations are known – no lookup & no registry! Tags: datagrid coherence members data access
- 24. Partitioned Topology : Data Update Synchronous Update Avoids potential Data Loss & Corruption Predictable Performance Backup Partitions are partitioned away from Primaries for resilience No engineering requirement to setup Primaries or Backups Automatically and Dynamically Managed Write-behind Tags: datagrid coherence membersdata update
- 25. Partitioned Topology : Recovery Membership changes (new members added or members leaving) Other members, using consensus , recover and repartition automatically No in-flight operations lost, no availability gap! Some latencies (due to higher priority of asynchronous recovery) Information Reliability & Continuous Availability are the priorities Tags: datagrid coherence recovery data
- 26. Features : Traditional Implements Map interface Drop in replacement. Full concurrency control. Multi-threaded. Scalable and resilient! get, put, putAll, size, clear, lock, unlock… Implements JCache interface Extensive support for a multitude of expiration policies, including none ! More than “just a Cache”. More than “just a Map” Tags: datagrid coherence jcache get put
- 27. Features : Observable Interface Real-time filterable (bean) events for entry insert, update, delete Filters applied in parallel (in the Grid) Filters completely extensible A large range of filters out-of-the-box: All, Always, And, Any, Array, Between, Class, Comparison, ContainsAll, ContainsAny, Contains, Equals, GreaterEquals, Greater, In, InKeySet, IsNotNull, IsNull, LessEquals, Less, Like, Limit, Never, NotEquals, Not, Or, Present, Xor… Events may be synchronous* trades.addMapListener( new StockEventFilter(“ORCL”), new MyMapListener(…)); Tags: datagrid coherence observable interface
- 28. Features : InvocableMap Interface Execute processors against an Entry, a Collection or a Filter Executions occur in parallel (aka: Grid-style) No “workers” to manage! Processors may return any value trades.invoke( new EqualsFilter(“getSecurity”,“ORCL”), new StockSplit(2.0)); Aggregate Entries based on a Filter positions.aggregate( new EqualsFilter(“getSecurity”,“ORCL”), new SumFilter(“amount”)); Tags: datagrid coherence processors collection filter
- 29. What is the Business Impact? Reduce infrastructure & dev cost Leverage IT investment, Grid Computing Build vs. Buy Scale as you grow Dynamic, predictable application scalability aligned with business needs Increase customer satisfaction Better application performance Faster access to data, shorter response times Enable business continuity Continuous data availability and reliability Meet / exceed service level agreements Tags: datagrid coherence customers references
- 30. Typical Scenario & collaterals
- 31. Typical Scenario
- 32. About Software
- 33. Collaterals About WOA Gartner’s definition Dion Hinchcliffe’s blog Oracle WOA enablers Weblogic Portal REST API Weblogic Portal Disc Framework Weblogic Portal “Portlet Publishing” Weblogic Server support for Rest Weblogic Server support for pub-sub server Ensemble for WebCenter Interaction Oracle Datagrid Oracle Coherence Others Microformats for lowcase Semantic Web
- 34. Q & A