
Why This Course Exists
What SOA Means Today (Not the SOAP Era)
Why Event Driven Architecture Became the Default
SOA, EDA, and Microservices - Clarifying the Relationship
Course Structure and Learning Approach
Sample Domain Overview
Practical Walkthrough: High-Level Architecture
Common Anti-Patterns to Watch For
Lesson Summary and Transition
What a Service Really Is
Service Boundaries and Responsibility
Ownership: Data, Behavior, and Lifecycle
Contracts as the Real API
High Cohesion Inside, Low Coupling Outside
Practical Example: Boundary Discovery
Practical Example: Plain Java Implementation
Common Boundary and Contract Anti-Patterns
Service Autonomy as a Non Negotiable Principle
Control of Data and State
Stateless vs Stateful Services - What Actually Matters
Idempotency in Distributed Systems
Safe Retries and Failure Scenarios
Service Contract Versioning Principles
Practical Example: Designing a Stable Service Contract
Practical Example: Contract Evolution and Versioning
Common SOA Design Anti Patterns
Why Communication Style Is an Architectural Decision
Request/Response Communication
Asynchronous Messaging Fundamentals
Latency, Availability, and Cascading Failures
Tradeoffs Between Sync and Async
Choosing Communication Per Use Case
Practical Example: Synchronous Flow Analysis
Practical Example: Refactoring to Async Event Flow
Common Communication Anti Patterns
Why Event Driven Architecture Exists
Events as Facts, Not Commands
Domain Events
Integration Events
Domain Events vs Integration Events
Event Granularity
Event Naming Conventions
Event Schema Basics
Practical Example: Defining Domain Events
Practical Example: Mapping to Integration Events
Common EDA Anti Patterns
Why Delivery Guarantees Matter in Event Driven Systems
Delivery Semantics Explained
The Reality of Event Delivery
Consumer Responsibility in Event Driven Systems
Idempotency as the Core Consumer Pattern
Retry Strategies and Failure Handling
Dead Letter Queues and Poison Messages
Practical Example: Idempotent Consumer Design
Practical Example: Failure Scenarios Walkthrough
Common Anti Patterns in Delivery Handling
Why Coordination Style Matters
Event Choreography Fundamentals
Hidden Traps of Event Choreography
Orchestration Fundamentals
Tradeoffs: Choreography vs Orchestration
Avoiding the Distributed Big Ball of Mud
Choosing the Right Model Per Business Flow
Practical Example: Business Flow with Event Choreography
Practical Example: Business Flow with Orchestration
Comparison and Architectural Takeaways
Common Coordination Anti Patterns
Why Event Contracts Matter
Understanding Compatibility
Safe Schema Evolution
Versioning Strategies
Anti Patterns in Event Versioning
Compatibility Testing Mindset
Practical Example: Schema Evolution Walkthrough
Architectural Takeaways
Why Consistency Becomes a Problem in Distributed Systems
Why Distributed Transactions Don’t Scale
Eventual Consistency Explained
Eventual Consistency in Real Business Scenarios
Sagas: The Core Pattern for Business Transactions
Saga Variants
Compensations and Business Reversals
Failure Scenarios in Sagas
Practical Example: Order Payment Shipping Saga
Plain Java Implementation Overview
Common Anti Patterns in Business Transactions
Why Dual Write Breaks Systems
Outbox Pattern: Concept and Benefits
Polling vs Transactional Outbox
Practical Example: Outbox Simulation
Architectural Takeaways
Event Notification vs Event Carried State Transfer
Change Data Capture (CDC) as an Integration Approach
Anti Corruption Layer for Integrations
Practical Example: Introducing an Anti Corruption Layer
Shared Database Across Services
Chatty Services and Synchronous Chains
God Events and Event Dumping
Tight Coupling via Shared Libraries and Shared Models
Practical Example: Refactoring a Broken Design
Architectural Takeaways
Why Observability Is Hard in Event Driven Architectures
Traceability Across Asynchronous Flows
Correlation IDs and Causation IDs
Observability Tooling in Java and Spring Boot
Tracing Event Driven Systems with OpenTelemetry
Monitoring Consumers and Event Lag
Operational Anti Patterns in Event Systems
Architectural Takeaways
Why Security Is Different in Event Driven Systems
Trust Boundaries Between Services
Authentication and Authorization in Messaging Systems
Authorization of Event Consumption
Event Payload Minimization
Handling Sensitive Data in Event Driven Architectures
Secure Lookup Pattern
Common Security Anti Patterns in Messaging
Architectural Takeaways
Modern software systems are no longer single applications. They are ecosystems of services, events, integrations, and distributed workflows. Building such systems requires much more than writing code. It requires architectural thinking.
This course is designed to teach you how real distributed systems are designed, using Service Oriented Architecture and Event Driven Architecture as the foundation. Instead of focusing on theory alone, we will explore the architectural principles, patterns, and design decisions used in modern scalable systems.
You will learn how to think like an architect and understand why certain design choices succeed while others lead to fragile distributed systems.
Throughout the course we will move step by step from the fundamentals of service design to advanced patterns used in production architectures.
In this course you will learn how to:
• Design clear service boundaries and ownership models that prevent distributed monoliths
• Build systems using Service Oriented Architecture principles that scale over time
• Understand when to use synchronous communication and when event driven systems are the right choice
• Design domain events and integration events correctly
• Apply event driven architecture patterns used in real production systems
But this course goes far beyond basic architecture concepts.
You will also explore the hard problems of distributed systems that many courses ignore.
You will learn how to:
• Handle message delivery guarantees, retries, and failure scenarios
• Design idempotent consumers and resilient messaging flows
• Use event choreography and orchestration to model business processes
• Manage event schema evolution and versioning without breaking consumers
• Implement eventual consistency and Saga patterns for distributed transactions
We will also cover essential reliability patterns used in production systems.
You will learn:
• Why dual write breaks systems and how the Outbox pattern solves it
• How to integrate legacy systems using Anti Corruption Layers and CDC approaches
• How to detect and avoid dangerous architectural anti patterns
In addition, we will explore the operational side of distributed systems, which is often overlooked but absolutely critical.
You will understand:
• How to design systems that are observable and debuggable
• How to trace asynchronous flows across multiple services
• How to monitor event consumers, lag, and system health
Security is another major topic in this course.
You will learn how to design secure event driven systems by:
• Defining trust boundaries between services
• Preventing sensitive data leaks in events
• Applying the secure lookup pattern for protected information
To make these concepts concrete, the course includes practical diagrams, architectural walkthroughs, and code examples that demonstrate how these patterns work in real systems.
By the end of this course, you will understand how modern distributed architectures actually work and how to design systems that are:
• Scalable
• Resilient
• Observable
• Secure
• Maintainable over time
If you are a developer who wants to move beyond writing individual services and start designing entire systems, this course will give you the architectural mindset and practical knowledge needed to do exactly that.