Microservices Architecture Training

Design and build production-grade distributed microservices with Go in this comprehensive 4-day training. Learn service decomposition, inter-service communication, resilience patterns, observability, and deployment strategies for Go-based microservice architectures.

Training Details

Duration	4 days (32 hours)
Level	Advanced
Delivery	In-person, Live online, Hybrid
Certification	N/A

Who Is This For?

• Senior Go developers building distributed systems
• Software architects designing microservice platforms
• Backend engineers scaling monoliths to microservices
• DevOps engineers supporting Go microservice deployments
• Technical leads making architecture decisions

Learning Outcomes

After completing this training, participants will be able to:

• Decompose domains into well-bounded microservices
• Implement synchronous (gRPC) and asynchronous (messaging) communication
• Apply resilience patterns (circuit breaker, retry, bulkhead)
• Instrument services with distributed tracing and metrics
• Deploy microservices with Kubernetes and service mesh
• Design event-driven architectures with Go

Detailed Agenda

Day 1: Microservice Design and Communication

Module 1: Microservice Design Principles

• Domain-driven design and bounded contexts
• Service decomposition strategies
• API contracts and versioning
• Hands-on: Decompose a monolith into service boundaries

Module 2: Synchronous Communication

• gRPC service-to-service communication
• Protocol Buffers and code generation
• Service discovery and load balancing
• Hands-on: Build communicating gRPC services

Module 3: API Gateway Patterns

• Gateway routing and aggregation
• Rate limiting and authentication at the edge
• Request transformation and protocol translation
• Hands-on: Implement an API gateway with Go

Day 2: Asynchronous Communication and Data

Module 4: Message-Driven Architecture

• Event-driven vs message-driven patterns
• Apache Kafka integration with Go
• NATS and NATS JetStream
• Hands-on: Build event-driven services with NATS

Module 5: Event Sourcing and CQRS

• Event sourcing fundamentals
• Command Query Responsibility Segregation
• Event store implementation in Go
• Hands-on: Implement event sourcing for an order service

Module 6: Data Management

• Database per service pattern
• Saga pattern for distributed transactions
• Data consistency strategies
• Hands-on: Implement a saga with compensating transactions

Day 3: Resilience and Observability

Module 7: Resilience Patterns

• Circuit breaker pattern (gobreaker)
• Retry with exponential backoff
• Bulkhead and timeout patterns
• Hands-on: Add resilience to inter-service calls

Module 8: Distributed Tracing

• OpenTelemetry SDK for Go
• Trace propagation across services
• Span attributes and events
• Jaeger and Tempo backends
• Hands-on: Instrument services with distributed tracing

Module 9: Metrics and Monitoring

• Prometheus client for Go
• Custom metrics (counters, histograms, gauges)
• Grafana dashboards for microservices
• Alerting rules and SLOs
• Hands-on: Build a monitoring stack for the microservice platform

Day 4: Deployment, Service Mesh, and Operations

Module 10: Kubernetes Deployment

• Kubernetes manifests for Go microservices
• ConfigMaps, Secrets, and environment configuration
• Horizontal Pod Autoscaling
• Hands-on: Deploy microservices to Kubernetes

Module 11: Service Mesh

• Istio and Linkerd fundamentals
• mTLS and service identity
• Traffic management and canary deployments
• Hands-on: Add Istio service mesh to the platform

Module 12: Production Operations

• Centralized logging with structured logs
• Incident response and runbooks
• Capacity planning and load testing
• Hands-on: Capstone — deploy and operate a complete microservice platform

Prerequisites

• Strong Go development experience
• Go Web Services & APIs or equivalent
• Understanding of distributed systems concepts
• Experience with Docker and Kubernetes basics

Delivery Formats

Format	Description
In-Person	On-site at your company's location, hands-on with direct interaction
Live Online	Interactive virtual sessions with screen sharing and real-time labs
Hybrid	Combination of on-site and remote sessions, flexible scheduling

All formats include hands-on labs, course materials, reference architectures, starter code, and post-training support.