Learn how to build scalable, resilient, and responsive systems using reactive microservices. This beginner-friendly course introduces you to reactive architecture principles, event-driven communication, and best practices for cloud-native deployments.
Course
Python
413k+ Enrolled
★4.6 (42.6k+ Reviews)
Course Details
This comprehensive course explores the principles and practices behind designing scalable, resilient, and responsive systems using reactive architecture. Whether you’re a developer, architect, or IT professional, this beginner-friendly course provides real-world guidance for modern microservices architecture.
Tools & Concepts You’ll Master:
Reactive Manifesto – The foundational document outlining key principles: responsiveness, resilience, elasticity, and message-driven systems
Project Reactor – Leading reactive programming libraries and frameworks
MicroProfile Reactive Messaging – Standards for building event-driven microservices in Java
Circuit Breakers & Bulkheading – Patterns for building fault-tolerant systems
Message-Driven Architecture – Enabling decoupled communication between services
Cloud-Native Integration – Deploying reactive systems with scalability and observability
Through engaging case studies, practical labs, and a hands-on project, you’ll learn how to design systems that remain available and responsive under varying loads—perfectly suited for today’s distributed environments.
What You’ll Learn
This course covers core concepts and techniques required to build reactive systems and microservices in a cloud-native environment:
Understand Reactive Architecture Principles – Learn the foundation of responsive, resilient, elastic systems
Explore the Reactive Manifesto – Study the key principles behind modern reactive systems
Differentiate Monolithic vs. Reactive Microservices – Analyze how microservices evolve from monoliths
Learn Event-Driven Communication – Implement asynchronous messaging and decoupled services
Understand Backpressure and Flow Control – Manage system load gracefully and ensure responsiveness
Implement Resilient Microservices – Use circuit breakers, retries, and fallbacks for fault tolerance
Utilize Reactive Programming Techniques – Leverage libraries like Project Reactor or Akka
Build Scalable and Elastic Systems – Design systems that auto-scale based on demand
Integrate Reactive Systems with Cloud-Native Tools – Connect to modern infrastructure and platforms
Debug and Monitor Reactive Systems – Apply best practices for observability and diagnostics
Apply Reactive Patterns in Real Projects – Practice with hands-on use cases and a real-world project
Course Content
Requirements
This course is designed to be beginner-friendly and is open to anyone, regardless of prior experience or background.
Course Description
The Reactive Architecture: Reactive Microservices course offers an in-depth exploration into the principles and practices of building modern, scalable, and resilient microservice-based systems using reactive architecture. Designed for developers, architects, and IT professionals, this course introduces the foundational concepts of reactive systems, as outlined in the Reactive Manifesto, including responsiveness, resilience, elasticity, and message-driven communication.
Learners will gain practical knowledge of how reactive microservices differ from traditional monolithic applications and understand the advantages of asynchronous, event-driven communication.
The course covers essential techniques such as backpressure handling, fault tolerance through circuit breakers and retries, and the implementation of reactive programming using tools like Project Reactor.
In addition, participants will explore how reactive microservices integrate seamlessly into cloud-native environments, enabling dynamic scalability and efficient resource utilization.
With real-world examples, debugging strategies, and best practices, this course equips learners with the skills needed to design and deploy robust, responsive microservices ready for production environments.
Course Content
This course is structured into six core modules, each with hands-on activities, quizzes, and a final project:
Module 1: Introduction to Reactive Architecture
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Course Introduction
Course Prerequisites
The Software Spectrum
Quiz: The Software Spectrum (4 Questions)
Module 2: Monolithic Architecture
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Monolith Architecture
Quiz: Monoliths (10 Questions)
Case Study: The Monolithic BBQ (5 Questions)
Module 3: Microservices & Decomposition
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Service Oriented Architecture
Quiz: SOA (4 Questions)
Reactive Microservices
Responsibilities of Microservices
Case Study: Decomposing the Monolith
Module 4: Principles of Isolation
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Isolation Concepts
Case Study: Violating Isolation Principles
Module 5: Resilience & Communication Patterns
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Bulkheading (4 Questions)
Circuit Breakers (9 Questions)
Message-Driven Architecture (5 Questions)
Autonomy (9 Questions)
Gateway Services (7 Questions)
Case Study: Reactive Microservices
Module 6: Final Exam & Certification
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Final Exam Instructions
Final Exam (6 Questions)
(Optional) Retake Exam
Course Feedback
Certificate of Completion
Final Project: Reactive Messaging
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Project Title: Acknowledging Messages using MicroProfile Reactive Messaging
Hands-on Implementation
Final Submission and Certification
Highlights of this Course:
Upon successful completion of the course, you will receive a Course
Completion Certificate, a Digital Badge, and a Project Completion Certificate.
Feedback
4.6
★★★★★
Course Rating
5 ★
55%
4 ★
35%
3 ★
8%
2 ★
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A
Alex
★★★★★1 week ago
Comprehensive and beginner-friendly. Great for everyone new to the field.
S
Priya
★★★★☆2 weeks ago
I found the Data Science Tools course very practical and informative. The course clearly introduced a wide variety of essential tools like Jupyter Notebooks, RStudio IDE, and IBM Watson Studio, helping me understand their specific uses and functionalities. The hands-on sections where I could directly experiment with these tools really enhanced my learning experience.
D
Daniel
★★★★☆2 weeks ago
This course is well-suited for beginners without prior programming experience and provides a solid foundation for anyone starting out in data science.
