Microservices + Kubernetes Beginner's Guide: Design, Implementation, and High‑Availability Deployment

The article introduces microservices as a design paradigm and explains why, together with Kubernetes, they have become the standard for modern backend services. It outlines a four‑chapter structure: (1) microservice design, (2) concrete implementation, (3) Kubernetes deployment, and (4) high‑availability deployment and verification.

Chapter 1 discusses the core concepts of microservices, the benefits of splitting functionality into independent modules, and presents a simple example architecture where a front‑end site calls a chain of services a.demo.com → b.demo.com → c.demo.com. It also mentions the need for a registration center (Eureka) and the use of RESTful communication.

Chapter 2 shows the practical implementation using Java Spring Boot. It provides a high‑level view of the project structure (registration center, shared library, and three service modules) and includes sample code snippets for the front‑end page, the Eureka registration, and the service logic. The services expose a health‑check endpoint (/hs) for Kubernetes readiness probes.

Chapter 3 describes installing a Kubernetes cluster with the K8seasy tool. The installation steps are illustrated with commands wrapped in sudo ./installer --genkey -hostlist=192.168.2.1 and

sudo ./installer   -kubernetestarfile kubernetes-server-linux-amd64v1.18.2.tar.gz -masterip 192.168.2.50

. After the cluster is up, Prometheus and Grafana are deployed for metrics collection and visualization.

Chapter 4 focuses on making the system highly available. It adds multiple instances of each service, integrates Eureka for service discovery, and configures Sentinel for flow control, rate limiting, and circuit breaking. Monitoring is enhanced with Prometheus‑Grafana dashboards, while distributed tracing is enabled via Zipkin. The article also introduces Lens for multi‑cluster management.

Finally, the guide demonstrates verification steps: accessing the front‑end page, checking the service call chain, viewing Zipkin traces, and observing Sentinel’s traffic‑control UI. It concludes with a summary diagram and a list of further reading resources.