Course Includes:
- Price: FREE
- Enrolled: 8105 students
- Language: English
- Certificate: Yes
- Difficulty: Advanced
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Course Folder
What You'll 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
- Configure identity providers (like Auth0) for real-world authentication
- 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
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
Description
Your microservices are deployed. Your APIs are live. But will they survive?
Modern applications don’t fail because of bugs - they fail because they can’t handle traffic spikes, dependency timeouts, or unexpected downtime in connected services. That’s why top engineers today are turning to resilience patterns - to build systems that don’t just run, but endure.
In this hands-on course, you’ll master the core resilience patterns that protect real-world systems - including circuit breakers, retries, time limiters, rate limiters, bulkheads, and load balancing - all using Spring Boot, Resilience4j, and Spring Cloud.
You won’t just learn how to implement them - you’ll understand when, why, and where to use each pattern, with real coding demos, architectural reasoning, and battle-tested practices.
What You’ll Build:
Secure, production-ready microservices
Fault-tolerant APIs that gracefully recover from failures
Scalable backends that handle real-world traffic and instability
Rate-limited endpoints that protect your services from abuse
Load-balanced systems with automatic instance failover
Why This Course?
This isn’t theory. This is real-world engineering.
You’ll work with:
Resilience4j, the industry-standard lightweight fault tolerance library
Spring Cloud Gateway for routing and edge protection
Spring Security & OAuth2 to protect your APIs
Spring Boot Actuator to monitor and measure application health
We go beyond simple REST apps and teach you how to survive in today’s cloud-native, distributed architecture world.
Who This Is 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
By the end of this course, you won’t just know what resilience is - you’ll know how to build it into everything you write.
Enroll now and start building microservices that can take a hit - and keep running.
Who this course is 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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