Building Resilient Microservices: A Hands-On Guide

Enroll in this Free Udemy Course to build resilient microservices that withstand traffic spikes and failures!

Microservices have revolutionized application development, allowing for greater flexibility and scalability. However, as applications grow, they must be resilient to survive the unpredictable nature of cloud environments. This hands-on course dives into the crucial resilience patterns that ensure the robustness of microservice architectures. Discover how to prepare your APIs and backends for real-world challenges such as traffic spikes and dependency failures.

Throughout this course, you will engage with core resilience techniques such as circuit breakers, retries, and load balancing using cutting-edge tools like Spring Boot and Resilience4j. Each chapter is filled with practical coding demos and architectural insights that equip you to implement effective solutions. You’ll learn to design fault-tolerant systems that are not only ready for production but can truly handle the demands of modern applications.

By the end of the course, you will have acquired the knowledge to build and deploy microservices that are resilient under pressure. This isn’t just a theoretical discussion; it’s a practical guide tailored for software engineers, backend developers, and architects aiming to enhance the reliability and performance of their systems. Enroll now and transform your approach to resilience in microservice development!

What you will learn:

  • Understand the core resilience patterns used in modern microservices
  • Implement circuit breakers using Resilience4j in Spring Boot
  • Apply retry logic to recover from transient service failures
  • Use time limiter patterns to prevent backend hangs and long response times
  • Protect APIs with rate limiting using Bucket4j and Resilience4j
  • Isolate failures with the bulkhead pattern (thread-pool and semaphore isolation)
  • Build load-balanced microservices with Spring Cloud LoadBalancer
  • Set up routing and edge protection with Spring Cloud Gateway
  • Secure endpoints using OAuth2, JWT, and Spring Security
  • Monitor service health using Spring Boot Actuator
  • Create fault-tolerant asynchronous flows using CompletableFuture and TimeLimiter
  • Compare different resilience libraries (Resilience4j vs. Bucket4j) and know when to use each
  • Write integration tests for resilient endpoints in Spring Boot
  • Design backend systems that stay reliable under pressure and traffic spikes

Course Content:

  • Sections: 5
  • Lectures: 34
  • Duration: 10h 46m

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 who want to build robust, fault-tolerant applications
  • Backend engineers working with microservices or distributed systems
  • Developers interested in implementing real-world resilience patterns
  • Software architects aiming to improve system stability and scalability
  • DevOps engineers focused on service reliability and graceful failure handling
  • Teams building cloud-native services that must survive network and dependency failures
  • Anyone maintaining mission-critical APIs that must handle high load and partial outages
  • Engineers preparing for system design interviews or backend architecture roles
  • Developers transitioning from monoliths to microservices and needing production-grade patterns
  • Spring Boot users looking to go beyond basic CRUD apps.

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