Event-Driven Architecture with Go Training Course

Day 1: Event-Driven Architecture Fundamentals in Go

• Introduction to EDA
  • Defining Event-Driven Architecture
  • Contrasting Monolithic, Microservices, and Event-Driven Systems
  • Why Go’s concurrency model and lightweight goroutines are well-suited for EDA
• Core Concepts and Advantages
  • Achieving decoupling, scalability, and resilience in enterprise systems
  • Defining Events, Producers, Consumers, and Event Brokers
  • Case studies and real-world examples of Go powering high-performance event systems
• CAP Theorem and EDA Trade-offs
  • Overview of Consistency, Availability, and Partition Tolerance
  • The impact of EDA on these architectural properties
  • Strategies for balancing consistency and availability in Go-based systems

Day 2: Events, Messages, and Communication Patterns in Go

• Types of Events
  • Distinguishing between Domain Events and Integration Events
  • Synchronous versus Asynchronous events in Go applications
• Messaging Patterns in Practice
  • Implementing Publish-Subscribe (Pub/Sub) in Go
  • Designing and structuring event payloads using JSON, Protocol Buffers, or Avro in Go
• Event Handling Implementation in Go
  • Overview of popular Go libraries and frameworks for messaging
  • Code demonstrations: dispatching and processing events using idiomatic Go patterns
  • Practical session: Creating a basic event-driven service in Go

Day 3: Messaging Systems and Event Brokers with Go

• Choosing and Integrating Event Brokers
  • Overview of leading brokers: Apache Kafka, RabbitMQ, and NATS
  • Comparing use cases and best practices for Go-based systems
• Setting Up Messaging Infrastructure
  • Configuring Docker Compose for Kafka, RabbitMQ, or NATS
  • Setting up topics, exchanges, queues, and channels
  • Review of Go client libraries
• Practical Workshop
  • Developing a sample Go microservice that generates and processes events
  • Integrating the service with the selected event broker
  • Debugging and testing event workflows

Day 4: Deployment, Monitoring, and Advanced Go EDA Topics

• Deploying Go Event-Driven Applications on Kubernetes
  • Containerizing Go applications for production environments
  • Deploying Kafka (or alternative brokers) on Kubernetes clusters
  • Introduction to KEDA (Kubernetes Event-Driven Autoscaling) for scaling event consumers
• Error Handling and Monitoring
  • Managing event failures using effective strategies
  • Implementing observability in Go services
• Advanced Topics and Q&A
  • Exploring Serverless Event-Driven Architectures with Go
  • Event Choreography versus Orchestration: Use cases and design considerations
  • Common pitfalls, key lessons, and industry best practices
  • Open Q&A session and collaborative troubleshooting