Advanced Rate Limiting Strategies in Spring Cloud Gateway
Master advanced rate limiting techniques in Spring Cloud Gateway to build resilient and secure microservices.
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Rate Limiting Fundamentals and Spring Cloud Gateway Basics
Unit 1: Understanding Rate Limiting
What is Rate Limiting?
Why Rate Limit APIs?
Rate Limiting Algorithms
Token Bucket Explained
Leaky Bucket Explained
Unit 2: Spring Cloud Gateway Basics
Intro to SC Gateway
SCG Configuration
Built-in Rate Limiting
Configuring Redis
Testing Rate Limiting
Unit 3: Customizing Rate Limiting
Key Resolver Interface
IP-based Rate Limiting
User-based Rate Limiting
Custom Error Responses
Handling Exceeded Limits
Advanced Rate Limiting Configuration and Distributed Strategies
Unit 1: Tiered Rate Limiting
Intro to Tiered Limits
Configuring Tiered Limits
Testing Tiered Limits
Tiered Limit Use Cases
Advanced Tier Config
Unit 2: Dynamic Rate Limiting with SpEL
Intro to Dynamic Limits
SpEL for Rate Limits
Configuring SpEL Limits
Testing SpEL Limits
SpEL Limit Use Cases
Unit 3: Distributed Rate Limiting
Intro to Distributed RL
Redis for Rate Limits
Configuring Redis Limits
Testing Redis Limits
Redis Limit Use Cases
Custom Rate Limiting and Reactive Implementations
Unit 1: Building a Reactive Rate Limiter
Intro to Reactive Rate Limiters
Project Setup
Reactive Rate Limiter Interface
In-Memory Implementation
Testing the Implementation
Unit 2: Integrating with Spring Cloud Gateway
Custom Gateway Filter
Filter Configuration
Applying the Filter
Error Handling
Monitoring and Metrics
Unit 3: Dynamic Rate Limiting
Server Load Monitoring
Dynamic Limit Adjustment
Data Persistence
Configuration Updates
Testing Dynamic Limiting
Monitoring, Testing, and Production Deployment
Unit 1: Monitoring Rate Limiting with Micrometer
Micrometer Overview
Set Up Micrometer
Expose Rate Limit Metrics
Integrate Prometheus
Visualize in Grafana
Unit 2: Logging and Tracing Rate Limiting Events with Sleuth
Sleuth Overview
Set Up Sleuth
Log Rate Limit Events
Integrate Zipkin
Visualize Traces
Security Considerations and Emerging Trends
Unit 1: Security Implications of Rate Limiting
Rate Limiting & Security
DoS and Rate Limiting
Abuse Prevention
Auth Integration
Error Handling
Unit 2: Combining Rate Limiting with Security Measures
WAF Integration
CAPTCHA Integration
IP Reputation
Anomaly Detection
Threat Intelligence
Unit 3: AI-Powered and Adaptive Rate Limiting
AI for Rate Limiting
Adaptive Algorithms
ML for Anomaly Detect
Reinforcement Learn
Real-time Adaptation
Unit 4: Serverless and Latest Features
Serverless Rate Limit
SCG and Serverless
Latest SCG Features
Custom Filter
Future Trends