Build Resilient Spring Boot Microservices with Confidence

In today’s interconnected digital landscape, downtime isn’t an option. This course on Resilience4j with Spring Boot dives deep into creating fault-tolerant systems that stand resilient against failures like network latency, service outages, and unpredictable traffic spikes. You will learn practical skills to design microservices that not only survive but thrive under pressure by leveraging powerful patterns and the lightweight Resilience4j library.

Learn how to implement essential strategies such as circuit breakers, retries, and rate limiting seamlessly integrated with Spring Boot. Through hands-on coding sessions, you’ll gain the experience needed to build reliable microservices capable of automatic recovery from failures and managing unexpected surges in traffic. By the end of this course, you’ll have a robust understanding of how to create Java applications that are both resilient and maintainable in real-world scenarios.

This course is tailor-made for developers looking to enhance their systems architecture skills. With engaging live coding examples, you’ll explore not just the ‘how’ but the ‘why’ behind resilience patterns. By mastering these concepts, you’ll be well-equipped to tackle the challenges of modern software development, ensuring that your applications can handle failures gracefully and continue serving users even when disruptions arise.

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: 36
• Duration: 10h 47m

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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