Event-Driven Architecture with Go Training Course

Day 1: Foundations of Event-Driven Architecture in Go

• Introduction to EDA
  • Defining Event-Driven Architecture
  • Comparing Monolithic, Microservice, and Event-Driven Systems
  • Why Go’s concurrency model and lightweight goroutines are well-suited for EDA
• Core Concepts & Advantages
  • Achieving decoupling, scalability, and resilience in enterprise environments
  • Identifying Events, Producers, Consumers, and Event Brokers
  • Case studies and real-world examples demonstrating Go’s role in high-performance event systems
• CAP Theorem & EDA Trade-offs
  • Exploring Consistency, Availability, and Partition Tolerance
  • Evaluating the impact of EDA on these properties
  • Methods for balancing consistency and availability in Go-based systems

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

• Understanding Event Types
  • Distinguishing between Domain Events and Integration Events
  • Contrasting Synchronous and 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 within Go
• Implementing Event Handling in Go
  • Survey of leading Go libraries and frameworks for messaging
  • Code demonstrations: dispatching and processing events using idiomatic Go techniques
  • Practical session: Developing a basic event-driven service in Go

Day 3: Messaging Systems & Event Brokers with Go

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

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
  • Introducing KEDA (Kubernetes Event-Driven Autoscaling) for scaling event consumers
• Error Handling and Monitoring
  • Managing event failures through strategic approaches
  • Implementing observability features in Go services
• Advanced Topics & Q&A
  • Investigating Serverless Event-Driven Architectures with Go
  • Event Choreography vs. Orchestration: Applications and design considerations
  • Addressing common pitfalls, learned lessons, and industry best practices
  • Open Q&A session and collaborative troubleshooting