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SOA And Cloud Computing
1. SOA and Cloud Computing David Chou david.chou@microsoft.com blogs.msdn.com/dachou
2. State of SOA Perceptions SOA = IT centralization/standardization “SOA is dead” (Anne Thomas Manes, Burton Group; January 2009) Cloud computing will replace SOA Reality SOA does not solve all enterprise IT issues SOA is complex, and difficult Core value of SOA is agility, but needs vary SOA demands change, but organizational resistance is often the biggest impediment Need to focus on architecture, not technology
3. SOA Manifesto http://www.soa-manifesto.org/ Service orientation is a paradigm that frames what you do. Service-oriented architecture (SOA) is a type of architecture that results from applying service orientation. We have been applying service orientation to help organizations consistently deliver sustainable business value, with increased agility and cost effectiveness, in line with changing business needs. Through our work we have come to prioritize: Business value over technical strategy Strategic goals over project-specific benefits Intrinsic interoperability over custom integration Shared servicesover specific-purpose implementations Flexibilityover optimization Evolutionary refinement over pursuit of initial perfection That is, while we value the items on the right, we value the items on the left more.
19. Extending Enterprise SOA to the Cloud Resources beyond enterprise boundaries (networks without borders) Cloud as a collection of capabilities/services to leverage (“Intercloud” – an interconnected global “cloud of clouds”) Loose-coupling everywhere (in service contracts, data relationships, process dependencies, identity, communication models, performance expectations, change management processes, etc.) More trust needed (lower security requirements, virtual & shared infrastructure, multi-tenancy, Internet transit, etc.) Different fault zones/domains, criticality tiers (one big monolithic SOA vs. federated distributed SOA) New development efforts (instead of moving legacy applications into someone else’s data center)
21. Emerging Trends De-perimeterization Democratization of industries Dynamic business models Relationship networking core competencies Shifting process centers of gravity Plug-and-play IT architectures Model-driven development