Event-Driven Architecture with Go Training Course

Day 1: Foundations of Event-Driven Architecture in Go

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

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

• Understanding Event Types
  • Distinguishing Domain Events from 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
• Implementing Event Handling in Go
  • Overview of leading Go libraries and frameworks for messaging
  • Code demonstrations: dispatching and processing events using idiomatic Go patterns
  • Practical session: Building a basic event-driven service in Go

Day 3: Messaging Systems & Event Brokers with Go

• Selecting and Integrating Event Brokers
  • Overview of popular brokers: Apache Kafka, RabbitMQ, and NATS
  • Comparing use cases and best practices for Go-based systems
• Setting Up Messaging Infrastructure
  • Docker Compose configuration for Kafka, RabbitMQ, or NATS
  • Configuring topics, exchanges, queues, and channels
  • Overview of Go client libraries
• Hands-On Workshop
  • Building a sample Go microservice that produces and consumes events
  • Integrating the service with the selected event broker
  • Debugging and testing event flows

Day 4: Deploying, Monitoring, and Advanced Topics in Go EDA

• 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
  • Addressing event failures using strategic approaches
  • Implementing observability in Go services
• Advanced Topics & Q&A
  • Exploring Serverless Event-Driven Architectures with Go
  • Event Choreography versus Orchestration: Use cases and design considerations
  • Common pitfalls, lessons learned, and industry best practices
  • Open Q&A session and interactive troubleshooting