Development

Resilience4j with Spring Boot: Build Fault-Tolerant Systems

Course Overview

  • Course Title: Resilience4j with Spring Boot: Build Fault-Tolerant Systems
  • Instructor: Andrii Piatakha (Founder & CEO, IT-Bulls; Founder, Learn-IT University)
  • Target Audience:
    • Java/Spring Boot developers advancing in systems architecture
    • Backend engineers addressing service crashes and stability
    • Microservices developers preparing APIs for production
    • DevOps/platform engineers focused on observability and resilience
    • Software architects designing distributed, fault-tolerant systems
    • Interview candidates preparing for backend/system design roles
  • Prerequisites:
    • Basic Java programming knowledge
    • Familiarity with OOP principles
    • Understanding of REST APIs & HTTP communication
    • Ability to use IDEs (IntelliJ, Eclipse, etc.)
    • Maven/Gradle for dependency management

Curriculum Highlights

  • Key Topics Covered:

    • Resilience in microservice architecture (theory & importance)
    • Resilience4j setup & Spring Boot integration
    • Circuit breakers (preventing cascading failures)
    • Retry mechanisms (recovering from transient errors)
    • Rate limiting (API protection from overload/abuse)
    • Time limiters (avoiding slow responses/hangs)
    • Bulkhead patterns (failure containment via resource isolation)
    • Fallback strategies (graceful degradation)
    • Configuration via application.properties
    • Monitoring with Spring Boot Actuator
    • Integration testing for fault-tolerant endpoints
    • Chaining Resilience4j decorators (e.g., retry + circuit breaker)
    • Exception/fallback handling (programmatic & declarative)
    • Resilience4j vs Hystrix vs Bucket4j (comparison & use cases)
  • Key Skills Learned:

    • Designing fault-tolerant Java microservices
    • Implementing resilience patterns in Spring Boot
    • Testing failure scenarios in distributed systems
    • Tuning resilience via runtime configurations
    • Monitoring resilience metrics for observability
    • Building self-protecting APIs against real-world failures

Course Format

  • Duration: 10.5 hours on-demand video + 5 articles
  • Format: Self-paced online (lifetime access on mobile/TV)
  • Resources:
    • Downloadable code samples
    • Quizzes & exercises (hands-on coding)
    • Certificate of completion

Additional Information

  • Course Language: English
  • Last Updated: 2023 (check Udemy for latest updates)
  • Student Enrollment: 1,179,427+ students (across instructor’s courses)
  • Instructor Rating: 4.4/5 (49,574 reviews)
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