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This presentation explores the evolution of Amazon's infrastructure from a monolithic application to a Service-Oriented Architecture (SOA). It highlights key challenges faced during this transition, including branch management, debugging, and linker failures. By decomposing a monolithic site into independent services like recommendation and price services, Amazon enhanced modularity and scalability. The benefits of SOA allow for better resource management, improved visibility, and service isolation, ultimately enabling hundreds of developers to collaborate effectively on a single platform.
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Service-Oriented Architectures Andrew Whitaker CSE451
Today’s Theme • How do you allow hundreds of developers to work on a single website?
Amazon.com: The Beginning • Initially, one web server (Obidos) and one database Internet Obidos Database • Details: Front end consists of a web server (Apache) and “business logic” (Obidos)
Amazon: Success Disaster! Use redundancy to scale-up, improve availability Obidos Database Obidos Amazon.com Internet Obidos Load balancer Database Obidos Obidos
Obidos • Obidos was a single monolithic C application that comprised most of Amazon.com’s functionality • During scale-up, this model began to break down
Problem #1: Branch Management • Merging code across branches becomes untenable HelloWorld.c release development Blue changes depend on Red changes (which may depend on other changes…)
Problem #2: Debugging • On a failure, we would like to inspect what happened “recently” • But, the change log contains numerous updates from many groups • Bigger problem: lack of isolation • Change by one group can impact others
Problem #3: Linker Failure • Obidos grew so large that standard build tools were failing
Service-Oriented Architecture (1) • First, decompose the monolithic web site into a set of smaller modules • Called services • Examples: • Recommendation service • Price service • Catalogue service • And MANY others
Sidebar: Modularity • Information hiding (Parnas 1972): The purpose of a module is to hide secrets • Benefits of modularity • Groups can work independently • Less “synchronization overhead” • Ease of change • We are free to change the hidden secrets • Ease of comprehension • Can study the system at a high level of abstraction public interface List { } // This can be an array, a linked-list, // or something else
Systems and Information Hiding • There is often a tension between performance and information hiding • In OS’s, performance often wins: struct buffer { // DO NOT MOVE these fields! // They are accessed by inline assembly that // assumes the current ordering. struct buffer* next; struct buffer* prev; int size; … }
Service Oriented Architectures (2) • Modularity + a network • Services live on disjoint sets of machines • Services communicate using RPC • Remote procedure call
getPrice() Remote Procedure Call • RPC exposes a programming interface across machines: interface PriceService { float getPrice(long uniqueID); } PriceImpl Server Client
Shopping Cart Price Catalogue Recommendation SOA, Visualized Website • All services reside on separate machines • All invocations are remote procedure calls
Benefits of SOA • Modularity and service isolation • This extends all the way down to the OS, programming language, build tools, etc. • Better visibility • Administrators can monitor the interactions between services • Better resource accounting • Who is using which resources?
Amazon as a Platform • SOA allows third-parties to use some (but not all) of the Amazon platform Sleds.com Amazon.com Front-end website Order Processing Shopping Carts Catalogue
Performance Issues • A webpage can require dozens of service calls • RPC system must be high performance • Metrics of interest: • Throughput • Latency • Both average and the variance
SLAs • Service performance is dictated by contracts called Service Level Agreements • e.g., Service Foo must • Have 4 9’s of availability • Have a median latency of 50 ms • Have a 3 9’s latency of 200 ms
Issues • Discovery • Load Balancing