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 microservices
Fault-tolerant APIs that gracefully recover from failures
Scalable backends that handle real-world traffic and instability
Rate-limited endpoints that protect your services from abuse
Load-balanced systems with automatic instance failover
Why This Course?
This isn’t theory. This is real-world engineering.
You’ll work with:
Resilience4j, the industry-standard lightweight fault tolerance library
Spring Cloud Gateway for routing and edge protection
Spring Security & OAuth2 to protect your APIs
Spring Boot Actuator to monitor and measure application health
We go beyond simple REST apps and teach you how to survive in today’s cloud-native, distributed architecture world.
Who This Is For:
Software Engineers building or maintaining microservices
Backend engineers preparing for real production deployments
Spring Boot developers wanting to upgrade their architecture skills
Software architects and tech leads focused on uptime, performance, and reliability
Anyone working with distributed systems who wants to prevent cascading failures
By the end of this course, you won’t just know what resilience is - you’ll know how to build it into everything you write.
Enroll now and start building microservices that can take a hit - and keep running.
