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Cloud Serving Engine
- 1. Yahoo Cloud Serving Surendra Reddy Cloud Computing Conference & ExpoNovember 3, 2009
- 2. Imagining the Future of Cloud!
- 3. Cloud is a Promise, But …
- 4. Reference: Tussle in Cyberspace: Defining Tomorrow’s Internet http://conferences.sigcomm.org/sigcomm/2002/papers/tussle.pdf
- 10. Staggering Complexities of Dependencies
- 13. Governance
- 16. L – Lean
- 17. O – Optimized
- 18. U – Utility
- 21. Yahoo! is Perfect for Cloud Computing HUNDREDS OF PROPERTIES / PRODUCTS 600M UNIQUE USERS / MONTH HUNDREDS OF PETABYTES OF STORAGE BILLIONS OF OBJECTS STORED THOUSANDS OF SERVERS 300M+ YAHOO! MAIL USERS / MONTH
- 23. Includes multiple environments: Dev, QA, Staging, and production
- 26. Continuous Integration, Continuous Deployment, & Continuous Compliance*
- 27. End-to-End Security* Rich Miller @RHM2K first coined “Continuous Compliance”
- 29. Standardized software stacks and packaging
- 36. Yahoo! Cloud: Tiers without Tears Entrypoint Naming Load Balancer Presentation Tier Application Logic Tier node node node Bindings Connections Database Tier
- 37. Yahoo! Cloud: Extreme Automation Abstracting Services Component AnswersCore { Entry root; Tier pres { app = “answers_web_tier”; Exit applogic; nsize = small; nnodes = 3; }; Tier applogic { app = “answers_al_tier”; Exit data; nsize = medium; nnodes = 3; }; Tier data; Connections { root -> pres; pres.applogic -> applogic; applogic.data -> data; } } Presentation Tier Application Logic Tier Database Tier
- 38. Yahoo! Cloud: Extreme Automation QA Environment Environment qa(ne1) { TrafficDirector root { name = “qa.answers.yahoo.com”; access = testing; }; AnswersCore core; Connections { root -> core; } } Presentation Tier Presentation Tier Application Logic Tier Application Logic Tier Testing Testing Environment production(ac4,sk1) { TeeTrafficDirector root { name = “answers.yahoo.com”; access = public; split_percent = 10; split_destination = qa.root; }; AnswersCore core; Connections { root -> core; } } Database Tier Database Tier
- 40. Platforms: data, user info, ad systems, configuration bundles
- 45. Tears to Tiers
- 48. OPEN CLOUD ACCESS PROTOCOL
- 50. Allocation, Provisioning, and Metering of Cloud Resources
- 51. Metadata/Registry for Cloud Resources
- 53. Specification behind Yahoo Implementation
- 57. DELETE - Delete an instance of a managed resource
- 58. GET - Request managed resource properties (for one resource or a set of resource)
- 59. CANCEL - Cancel an outstanding request
- 60. SET - Set managed resource properties
- 63. TERMINATE – Stop the resource
- 64. SUSPEND – Suspend the resource
- 65. RESUME – Resume the resource
- 69. TUESDAY, 11/3 4:50pm – 5:35 pm Hadoop @ Yahoo! – Internet Scale Data Processing Eric Baldeschwieler VP, Hadoop Software Development WEDNESDAY, 11/4 9:10 am - 9:55 am Yahoo! Scalable Storage and Delivery Services Chuck Neerdaels VP, Storage and Edge Services VISIT BOOTH #103 TO TALK WITH YAHOO! ENGINEERS AND LEARN MORE ABOUT YAHOO!’S VISION FOR CLOUD COMPUTING.
Notes de l'éditeur
- _____We believe, Cloud computing is about Driving Innovation.At Yahoo!, we are developing and deploying Cloud Services to help us drive innovationBy providing a set of horizontal Cloud services that are broadly applicable to building many Yahoo! products We are able to reallocate many developers to building products and features from building product-centric infrastructure. We are providing a stable base of Cloud Services that enable product developers to iterate quickly and innovate without risking product quality We are providing the ability to process and analyze enormous amounts of data easily and quickly for purposes of improving consumer experience with our products.
- Hundreds of properties/productsEnormous Scale 500M+ unique visitors monthly 300M+ Mail users 100’s of petabytes of storage 100’s of billions of objects stored Billions of daily requestsGlobal footprint