Build Sturdy Microservices with Resilience Patterns

In today’s digital landscape, the ability of applications to withstand failures and adapt under pressure is crucial. This hands-on course on resilience patterns in microservice architecture goes beyond traditional concepts and offers you a practical approach to creating robust systems. You’ll learn that modern applications often fail not merely due to bugs, but because they are unable to manage unexpected traffic spikes, service dependencies, or downtime.

Throughout the course, you will engage with foundational resilience patterns essential for safeguarding your microservices. Get hands-on experience with circuit breakers, retries, time limiters, and more, utilizing tools such as Spring Boot and Resilience4j. Each pattern will be dissected through real coding demos, enabling you to grasp their practical applications and the architectural rationale behind their use.

By the end of this course, you will not only be equipped to develop secure and fault-tolerant APIs but also gain insights into designing scalable backends capable of handling real-world challenges. This course is your pathway to mastering resilience in software design, ensuring that your microservices are built to endure.

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
• 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

Course Content:

• Sections: 5
• Lectures: 35
• Duration: 11h 3m

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.

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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