Udemy MOOC / Non-credit 0

Resilience Patterns in Microservice Architecture: Hands-On

About this course

Your microservices are deployed. Your APIs are live. But will they survive?Modern applications don’t fail because of bugs - they fail because they can’t handle traffic spikes, dependency timeouts, or unexpected downtime in connected services. That’s why top engineers today are turning to resilience patterns - to build systems that don’t just run, but endure.In this hands-on course, you’ll master the core resilience patterns that protect real-world systems - including circuit breakers, retries, time limiters, rate limiters, bulkheads, and load balancing - all using Spring Boot, Resilience4j, and Spring Cloud.You won’t just learn how to implement them - you’ll understand when, why, and where to use each pattern, with real coding demos, architectural reasoning, and battle-tested practices.What You’ll Build:Secure, production-ready microservicesFault-tolerant APIs that gracefully recover from failuresScalable backends that handle real-world traffic and instabilityRate-limited endpoints that protect your services from abuseLoad-balanced systems with automatic instance failoverWhy This Course?This isn’t theory. This is real-world engineering.You’ll work with:Resilience4j, the industry-standard lightweight fault tolerance librarySpring Cloud Gateway for routing and edge protectionSpring Security & OAuth2 to protect your APIsSpring Boot Actuator to monitor and measure application health</

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What you'll learn

Implement and configure circuit breakers, retries, time limiters, rate limiters, and bulkheads
Create fault-tolerant APIs that recover seamlessly from failures
Develop scalable backends capable of managing fluctuating traffic and service instability
Use Spring Security & OAuth2 to protect APIs, and monitor application health with Spring Boot Actuator

Cloud Computing DevOps Software Engineering #cloud architecture #spring boot #microservices #web services #load balancing #scalability #fault tolerance #api security #dependency management #coding #application monitoring #spring cloud #rate limiting #resilience4j #circuit breaker

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