Event-Driven Architecture with Go Training Course

Day 1: Core Principles of Event-Driven Architecture in Go

• EDA Fundamentals
  • Defining Event-Driven Architecture.
  • Contrasting Monolithic, Microservices, and Event-Driven paradigms.
  • Leveraging Go’s concurrency model and lightweight goroutines for optimal EDA performance.
• Key Concepts and Advantages
  • Achieving decoupling, scalability, and resilience in enterprise environments.
  • Clarifying the roles of Events, Producers, Consumers, and Event Brokers.
  • Case studies and real-world instances of Go powering high-performance event systems.
• CAP Theorem and EDA Trade-offs
  • Reviewing Consistency, Availability, and Partition Tolerance.
  • Analyzing the effect of EDA on these system properties.
  • Techniques for balancing consistency and availability in Go-centric systems.

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

• Classifying Event Types
  • Distinguishing between Domain Events and Integration Events.
  • Managing Synchronous versus Asynchronous events within Go applications.
• Applying Messaging Patterns
  • Implementing Publish-Subscribe (Pub/Sub) mechanisms in Go.
  • Structuring and designing event payloads using JSON, Protocol Buffers, or Avro within Go.
• Executing Event Handling in Go
  • Surveying widely used Go libraries and frameworks for messaging.
  • Code demonstrations: dispatching and processing events through idiomatic Go patterns.
  • Practical session: Constructing a basic event-driven service using Go.

Day 3: Messaging Systems and Event Brokers with Go

• Choosing and Connecting Event Brokers
  • Reviewing leading brokers: Apache Kafka, RabbitMQ, and NATS.
  • Evaluating use cases and best practices for Go-based implementations.
• Establishing Messaging Infrastructure
  • Configuring Docker Compose for Kafka, RabbitMQ, or NATS.
  • Setting up topics, exchanges, queues, and channels.
  • Overview of available Go client libraries.
• Practical Workshop
  • Developing a sample Go microservice that both emits and processes events.
  • Connecting the service to the selected event broker.
  • Debugging and verifying event flows.

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

• Releasing Go Event-Driven Apps on Kubernetes
  • Preparing Go applications for production via containerization.
  • Deploying Kafka (or alternative brokers) within Kubernetes clusters.
  • Introduction to KEDA (Kubernetes Event-Driven Autoscaling) for scaling event consumers.
• Error Management and Monitoring
  • Addressing event failures using defined strategies.
  • Integrating observability features into Go services.
• Advanced Insights and Q&A
  • Investigating Serverless Event-Driven Architectures with Go.
  • Comparing Event Choreography and Orchestration: Use cases and design implications.
  • Common pitfalls, experiential lessons, and industry best practices.
  • Open Q&A session and collaborative troubleshooting.