Learn Microservices

Prerequisites

The course requires a decent understanding of Java. A dedicated course can be found here.

Software

• JDK Development Kit 21
• IntelliJ IDEA [Plugins: Envfile,Mermaid]
• Apache Maven
• Docker Desktop

Books

• Microservices Patterns; Richardson

Videos

• MIT 6.824 Distributed Systems

Modules

M1 Introduction

• Software production metrics
• Monolithic and distributed architectures
• Automation in software production (DevOps, DevSecOps)

M2 Microservices chassis

• Synchronous vs Asynchronous approaches
• Java microservices (Maven, Spring Boot)
• Python microservices (FastAPI)

M3 Containerization and orchestration

• Building docker images (single-layer, multi-layer)
• Container orchestration with docker compose
• Orchestration for the edge-cloud continuum (K8s, K3s, MicroK8s, KubeEdge)

M4 Synchronous Communication

• Synchronous communications and their limitations
• GraphQL and Protobuf as a REST alternatives
• Latency-sensitive communication

M5 Infrastructure

• Service discovery, routing, configuration
• Edge-cloud hybrid routing strategies
• Consensus algorithms (RAFT)

M6 Observability

• Instrumentation and maintenance costs
• Key observability stacks: Prometheus, ELK, Jaeger/Zipkin, Grafana
• OpenTelemetry

M7 Resiliency

• Client-side patterns
• Server-side patterns

M8 Asynchronous Communication

• Asynchronous messaging systems
• Event-driven architectures
• Event-sourcing architectures

M9 Distributed data management

• The SAGA pattern
• The CQRS pattern
• The Conductor orchestration framework

M10 Security

• JWT...

M11 MLOps

• The MLOps model applied to edge-cloud contexts
• Tracking ML experiments with MLFlow
• Observing ML models in production with EvidentlyAI