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Cloud and Infrastructure

520What is an API Gateway?
521API Gateway vs Load Balancer
522API Gateway Core Capabilities
523API Gateway Deployment Models
524REST API Gateway Basics
525WebSocket API Support
526HTTP API vs REST API
527API Gateway Request Flow
528Backend Integration Types
529Request and Response Mapping
530API Gateway Authentication Methods
531Throttling and Rate Limiting
532API Gateway Stages and Deployment
533API Gateway Caching
534CORS Configuration
535API Gateway Monitoring and Logs
536API Gateway Caching
537Request and Response Transformation
538Request Validation
539API Gateway Throttling and Rate Limits
540API Keys and Usage Plans
541Custom Domain Names and TLS
542API Gateway CORS Configuration
543WebSocket APIs
544API Gateway Authorization Strategies
545Mock Integrations and Testing
546API Gateway Stage Variables
547API Gateway Logging and Metrics
548API Versioning Strategies
549API Gateway Cost Optimization
550Message Queue Fundamentals
551Queue vs Topic Pattern
552Message Delivery Guarantees
553Dead Letter Queues
554Message Visibility and Timeouts
555AWS SQS Standard Queues
556AWS SQS FIFO Queues
557AWS SNS Topics and Subscriptions
558SNS Message Filtering
559SQS-SNS Fan-Out Pattern
560Azure Service Bus Queues
561Azure Service Bus Topics
562Google Cloud Pub/Sub
563Message Attributes and Metadata
564Long Polling vs Short Polling
565Message Retention and Expiration
566Queue Monitoring and Metrics
567Event-Driven Architecture Overview
568Event Producers and Consumers
569Event Types and Naming Conventions
570Event Schema Design
571Publish-Subscribe Pattern
572Point-to-Point Queue Pattern
573Event Sourcing Fundamentals
574CQRS Pattern with Events
575Event Choreography vs Orchestration
576Dead Letter Queues
577Event Deduplication Strategies
578Event Ordering and Partitioning
579Event Replay and Time Travel
580Saga Pattern for Distributed Transactions
581Event-Driven Monitoring and Observability

Cloud and Infrastructure

520What is an API Gateway?
521API Gateway vs Load Balancer
522API Gateway Core Capabilities
523API Gateway Deployment Models
524REST API Gateway Basics
525WebSocket API Support
526HTTP API vs REST API
527API Gateway Request Flow
528Backend Integration Types
529Request and Response Mapping
530API Gateway Authentication Methods
531Throttling and Rate Limiting
532API Gateway Stages and Deployment
533API Gateway Caching
534CORS Configuration
535API Gateway Monitoring and Logs
536API Gateway Caching
537Request and Response Transformation
538Request Validation
539API Gateway Throttling and Rate Limits
540API Keys and Usage Plans
541Custom Domain Names and TLS
542API Gateway CORS Configuration
543WebSocket APIs
544API Gateway Authorization Strategies
545Mock Integrations and Testing
546API Gateway Stage Variables
547API Gateway Logging and Metrics
548API Versioning Strategies
549API Gateway Cost Optimization
550Message Queue Fundamentals
551Queue vs Topic Pattern
552Message Delivery Guarantees
553Dead Letter Queues
554Message Visibility and Timeouts
555AWS SQS Standard Queues
556AWS SQS FIFO Queues
557AWS SNS Topics and Subscriptions
558SNS Message Filtering
559SQS-SNS Fan-Out Pattern
560Azure Service Bus Queues
561Azure Service Bus Topics
562Google Cloud Pub/Sub
563Message Attributes and Metadata
564Long Polling vs Short Polling
565Message Retention and Expiration
566Queue Monitoring and Metrics
567Event-Driven Architecture Overview
568Event Producers and Consumers
569Event Types and Naming Conventions
570Event Schema Design
571Publish-Subscribe Pattern
572Point-to-Point Queue Pattern
573Event Sourcing Fundamentals
574CQRS Pattern with Events
575Event Choreography vs Orchestration
576Dead Letter Queues
577Event Deduplication Strategies
578Event Ordering and Partitioning
579Event Replay and Time Travel
580Saga Pattern for Distributed Transactions
581Event-Driven Monitoring and Observability

← Cloud and Infrastructure

Lesson 531 of 2,989·10. API Gateway and Event-Driven PatternsPro lesson

Throttling and Rate Limiting

Understand how to protect backend services using request throttling, burst limits, and usage plans to prevent overload.

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