Event-Driven Architecture with Go Training Course

Day 1: Foundations of Event-Driven Architecture in Go

• Introduction to EDA
  • Defining Event-Driven Architecture
  • Contrasting Monolithic, Microservices, and Event-Driven Systems
  • Leveraging Go’s concurrency model and lightweight goroutines for optimal EDA performance
• Core Concepts & Benefits
  • Achieving decoupling, scalability, and resilience in enterprise-grade systems
  • Defining key roles: Events, Producers, Consumers, and Event Brokers
  • Examining real-world case studies where Go drives high-performance event systems
• CAP Theorem & Trade-offs in EDA
  • Reviewing Consistency, Availability, and Partition Tolerance
  • Analyzing the impact of EDA on these distributed system properties
  • Strategies for balancing consistency and availability in Go-based architectures

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

• Understanding Event Types
  • Distinguishing between Domain Events and Integration Events
  • Synchronous versus Asynchronous events within Go applications
• Messaging Patterns in Practice
  • Implementing Publish-Subscribe (Pub/Sub) patterns in Go
  • Designing and structuring event payloads using JSON, Protocol Buffers, or Avro within 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: Constructing a basic event-driven service in Go

Day 3: Messaging Systems & Event Brokers with Go

• Selecting and Integrating Event Brokers
  • Surveying popular brokers: Apache Kafka, RabbitMQ, and NATS
  • Comparing use cases and identifying best practices for Go-based systems
• Setting Up Messaging Infrastructure
  • Configuring Kafka, RabbitMQ, or NATS using Docker Compose
  • Managing topics, exchanges, queues, and channels
  • Review of Go client libraries
• Hands-On Workshop
  • Developing a sample Go microservice capable of producing and consuming events
  • Integrating the service with the selected event broker
  • Debugging and validating 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 dynamic consumer scaling
• Error Handling and Monitoring
  • Addressing event failures through robust strategies
  • Implementing observability features within Go services
• Advanced Topics & Q&A
  • Investigating Serverless Event-Driven Architectures with Go
  • Event Choreography versus Orchestration: Use cases and design implications
  • Identifying common pitfalls, lessons learned, and industry best practices
  • Open Q&A session and collaborative troubleshooting