Event Driven Architecture

Advanced Patterns & Practices

What you’ll learn
Identify when traditional APIs fail and why event-driven architecture solves modern scalability challenges
Master fundamental EDA concepts: producers, consumers, message brokers, and message types (commands, events, documents)
Build production systems with RabbitMQ and Apache Kafka, understanding when to use each
Apply EDA to practical scenarios including ETL pipelines, automated healthcare systems, and IoT with MQTT
Implement sophisticated patterns: Listen-to-Yourself, CQRS, Outbox Pattern, and Saga orchestration
Solve the dual-write problem and maintain data consistency across distributed services
Document architectural decisions with ADRs and formal EDA proposals
Design robust events with proper serialization strategies using Avro and Protocol Buffers

Requirements
Programming Language
API Design and Management (Rest at least)

Description
Master the enterprise-grade patterns and practices that power modern distributed systems. This comprehensive course takes you from understanding the limitations of traditional request-response architectures to implementing production-ready event-driven solutions used by industry leaders.Why Event-Driven Architecture Matters NowIn today’s landscape of cloud-native applications like microservices, real-time data processing, synchronous request-response models create bottlenecks that limit scalability, introduce tight coupling, and compromise system resilience. Event-Driven Architecture eliminates these constraints, enabling systems that are loosely coupled, highly scalable, and capable of processing events asynchronously across distributed components.This course bridges the gap between theoretical knowledge and practical implementation. You’ll understand not just what EDA is, but why leading tech companies rely on it for mission-critical systems, when to apply specific patterns, and how to avoid common pitfalls that derail projects.Comprehensive, Hands-On LearningYou’ll gain hands-on experience with critical messaging platforms—RabbitMQ and Apache Kafka—understanding the architectural trade-offs between message queuing and event streaming. Through practical exercises, you’ll build real systems, configure message brokers, implement complex event flows, and apply battle-tested patterns that solve real-world distributed system challenges including data consistency, system failures, and message ordering.By course completion, you’ll architect resilient, scalable systems that handle millions of events, design event schemas that evolve gracefully, implement sophisticated failure recovery mechanisms, and make informed decisions about technology choices backed by Architectural Decision Records (ADRs). You’ll gain the confidence to lead EDA initiatives, evaluate architectural proposals, and build systems that meet enterprise reliability and performance standards.

Who this course is for
Software architects designing distributed systems
Senior Backend engineers transitioning to Cloud-native Applications and event-driven patterns
Technical leads evaluating messaging platforms and architectural patterns

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