Build Resilient Microservices with Hands-On Patterns

Join this Free Udemy Course to learn resilience patterns for microservices—enroll now!

In the modern digital landscape, your microservices are deployed and APIs are live, but the real question is: will they survive the test of time and traffic? While bugs can cause failure, the more common culprits are issues like traffic spikes, dependency timeouts, and unexpected downtime in connected services. This is where resilience patterns come into play, empowering engineers to build systems that aren’t just operational, but resilient.

This hands-on course, “Resilience Patterns in Microservice Architecture: Hands-On,” dives deep into the core resilience patterns essential for protecting real-world systems. You will learn about circuit breakers, retries, time limiters, rate limiters, bulkheads, and load balancing using Spring Boot, Resilience4j, and Spring Cloud. But it’s not just about implementation—you’ll understand the context of each pattern and gain insights into when, why, and where to apply them through real coding demos, architectural reasoning, and best practices.

By the end of this course, you’ll be equipped to build secure, production-ready microservices that not only withstand failures but also gracefully recover from them. Whether you’re tasked with creating fault-tolerant APIs or scalable backends that handle high traffic, this course is designed to turn your microservices into robust systems that can weather real-world challenges. Enroll now to start building applications that can take a hit and keep running!

What you will learn:

  • Implement circuit breakers with Resilience4j to isolate failures
  • Configure retry policies and time limiters
  • Apply bulkheads to contain failures and protect critical resources
  • Design and implement rate limiters to protect endpoints from abuse
  • Set up load balancing and automatic failover between instances
  • Integrate Spring Cloud Gateway for routing and edge protection
  • Use Spring Security and OAuth2 to secure APIs in distributed environments
  • Monitor service health with Spring Boot Actuator
  • Make architectural decisions about when and where to apply each pattern
  • Build production-ready microservices that tolerate real instability

Course Content:

  • Sections: 10
  • Lectures: 50
  • Duration: 8 hours

Requirements:

  • Basic knowledge of Java programming
  • Familiarity with object-oriented programming concepts
  • Some experience with Spring Boot (recommended but not mandatory)
  • Understanding of RESTful APIs and HTTP methods
  • Ability to run Java applications using an IDE like IntelliJ or Eclipse
  • Basic familiarity with Maven or Gradle for dependency management

Who is it 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

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