Cloud Computing Platforms: AWS, Azure, and Google Cloud

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Introduction & Learning Objectives

Learning Objectives Differentiate between monolithic and microservices architectures and explain the trade-offs of each. Analyze the CAP Theorem (Consistency, Availability, Partition Tolerance) and apply it to database selection on AWS, Azure, and Google Cloud. Design a basic fault-tolerant system using cloud services like load balancers, auto-scaling groups, and multi-region deployments. Explain common concurrency challenges in distributed systems, such as race conditions and deadlocks. Describe how services like AWS SQS, Azure Service Bus, and Google Cloud Pub/Sub facilitate asynchronous communication. Identify and propose solutions for single points of failure (SPOFs) in a system architecture diagram. Ever wonder how Netflix can stream to millions of users simultaneously,...

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Key Concepts & Vocabulary

TermDefinitionExample Microservices ArchitectureAn architectural style that structures an application as a collection of loosely coupled, independently deployable services. Each service is responsible for a specific business capability.An e-commerce site where 'User Authentication', 'Product Catalog', and 'Shopping Cart' are all separate microservices. They communicate via APIs. This is often implemented using AWS Lambda, Azure Functions, or Google Cloud Functions for individual services. Load BalancingThe process of distributing incoming network traffic across a group of backend servers or resources to ensure no single server becomes overwhelmed.AWS Elastic Load Balancer (ELB), Azure Load Balancer, or Google Cloud Load Balancing automatically route user requ...

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Core Syntax & Patterns

Circuit Breaker Pattern 1. Closed State: Requests flow normally. Monitor for failures. 2. Open State: After a threshold of failures, trip the breaker. All subsequent requests fail immediately for a timeout period. 3. Half-Open State: After the timeout, allow a single request through. If it succeeds, move to Closed. If it fails, return to Open. Use this pattern to prevent a client from repeatedly trying to call a service that is down or struggling. This stops cascading failures where one failing service brings down others that depend on it. Idempotent Operations An operation is idempotent if making the same request multiple times produces the same result as making it once. `f(f(x)) = f(x)` In distributed systems, network issues can cause a client to retry a request. Design...

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Sample Practice Questions

Challenging

You are designing a global ticketing system on AWS for a flash sale. The system must be highly available and partition tolerant (AP). What is the most robust architectural approach to handle millions of concurrent purchase requests while preventing a single ticket from being sold twice?

A.Use a single, large AWS RDS instance with SERIALIZABLE transaction isolation to process all purchases, ensuring strict consistency.

B.Use an asynchronous pattern: The API Gateway endpoint places a purchase request message into an SQS FIFO queue. A Lambda function consumes from the queue and uses a DynamoDB transaction with a conditional write to claim a specific ticket.

C.Implement a global lock using a single ElastiCache for Redis instance. All purchase requests must acquire the lock before checking ticket availability.

D.Configure the API Gateway to reject any request that cannot be processed within 100ms to ensure a responsive user experience.

Challenging

An Azure application is being migrated to microservices. The 'Product' service depends on the 'Inventory' service. When the 'Inventory' service fails, threads in the 'Product' service block while waiting for a response, eventually causing the 'Product' service to fail as well. Which pattern from the tutorial should be implemented in the 'Product' service to prevent this cascading failure?

A.The Health Check pattern, where the 'Product' service periodically checks the '/health' endpoint of the 'Inventory' service.

B.Asynchronous Communication, where the 'Product' service sends a message to a queue instead of calling the 'Inventory' service directly.

C.The Circuit Breaker pattern, which would detect repeated failures, 'open' the circuit to fail-fast on new requests, and prevent the 'Product' service's resources from being exhausted.

D.Idempotent Operations, ensuring that calls to the 'Inventory' service can be safely retried without side effects.

Easy

Which statement best defines the microservices architectural style as described in the tutorial?

A.single, large application codebase that is deployed as one complete unit.

B.method for ensuring a database can continue operating despite network failures between nodes.

C.The process of distributing incoming network traffic evenly across a group of backend servers.

D.An architectural style that structures an application as a collection of loosely coupled, independently deployable services.

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