Build Resilient Microservices with Resilience4j and Spring Boot

In today’s digital landscape, systems often fail not because of coding errors, but due to dependencies that can introduce significant challenges. Issues such as network latency, server outages, and unexpected spikes in traffic are commonplace for modern applications. This is why incorporating fault tolerance into your systems is no longer a luxury, but a necessity. This course offers a hands-on exploration of Resilience4j, a robust framework designed to enhance the resilience of Java applications, especially when integrated with Spring Boot.

Throughout the course, you will gain practical insights into how to engineer microservices that not only withstand failures but also recover gracefully and protect against overloads. By delving into key concepts like circuit breakers, retries, rate limiters, and fallback strategies, you will appreciate the importance of designing for failure. This isn’t just theory; expect live coding sessions, real-world examples, and thorough explanations that provide the architectural context necessary for implementing these patterns effectively in production environments.

This course stands out by shifting the focus from merely building features to creating systems capable of withstanding failure. Moving beyond CRUD operations, you will learn the engineering mindsets that promote resilience in your services – ensuring they recover from outages and continue serving users under pressure. With implementation in Java using Resilience4j and Spring Boot, the skills acquired here are applicable across modern back-end systems.

What you will learn:

• Understand the importance of resilience in microservice architecture
• Set up and integrate Resilience4j in a Spring Boot application
• Implement circuit breakers to prevent cascading service failures
• Apply retry mechanisms to recover from transient errors
• Use rate limiting to protect APIs from overload and abuse
• Implement time limiter patterns to avoid slow responses and hangs
• Isolate service calls using bulkhead patterns for failure containment
• Create fallback strategies to ensure graceful degradation
• Configure and tune resilience patterns via application properties file
• Monitor resilience metrics using Spring Boot Actuator
• Write integration tests for fault-tolerant endpoints
• Chain multiple Resilience4j decorators (retry + circuit breaker, etc.)
• Handle exceptions and fallbacks programmatically and declaratively
• Build robust and production-ready Java microservices that can withstand real-world failure scenarios

Course Content:

• Sections: 5
• Lectures: 20
• Duration: 4 hours

Requirements:

• Basic knowledge of Java programming
• Familiarity with object-oriented programming principles
• Understanding of REST APIs and HTTP communication
• Ability to run and test applications using an IDE (e.g., IntelliJ or Eclipse)
• Basic understanding of Maven or Gradle for dependency management

Who is it for?

• Java developers who want to build fault-tolerant backend systems
• Spring Boot users aiming to move beyond basic application development
• Backend engineers working with microservices and distributed architectures
• Developers interested in implementing real-world resilience patterns
• Software architects responsible for system reliability and uptime
• DevOps engineers looking to improve system stability and failure handling
• Teams building APIs that must remain available under stress or partial outages
• Anyone maintaining production-grade services that require robust fault tolerance
• Engineers preparing for system design interviews or technical architecture roles
• Developers transitioning from monolithic to microservice-based systems

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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