A Beginner's Guide to Designing, Implementing, and Deploying Microservices on Kubernetes

With the rapid development of the Internet and the maturity of container orchestration, microservices have become the preferred backend architecture and Kubernetes the de‑facto standard for container orchestration. The author writes this guide to help readers understand how microservices and Kubernetes work together, from design to high‑availability deployment.

The guide is divided into four chapters: (1) microservice design, (2) concrete implementation, (3) Kubernetes deployment, and (4) high‑availability deployment and verification.

Chapter 1 – Design reviews the core concepts of microservices (citing Martin Fowler), explains the benefits of splitting functionality into independent services, and introduces essential components such as a registration center (Eureka), monitoring (Prometheus + Grafana), logging (Kafka), tracing (Zipkin), and flow control (Sentinel). Diagrams illustrate single‑instance pitfalls and the need for multiple instances with a service registry.

Chapter 2 – Implementation shows a simple front‑end site that triggers an AJAX request, which is proxied through a chain of services (a.demo.com → b.demo.com → c.demo.com). The Java code is organized as a multi‑module Maven project with a registration‑center module, a base library, and three service modules. Each service exposes a health‑check endpoint /hs for Kubernetes readiness probes.

Chapter 3 – Kubernetes Deployment introduces the K8seasy installer. Installation is performed with two commands: sudo ./installer --genkey -hostlist=192.168.2.1 sudo ./installer -kubernetestarfile kubernetes-server-linux-amd64v1.18.2.tar.gz -masterip 192.168.2.50 After the cluster is up, the dashboard, Prometheus, Grafana, and Alertmanager are accessible via the master IP. The guide also recommends using Lens (importing lens.kubeconfig ) for multi‑cluster management.

Chapter 4 – High‑Availability Deployment & Verification explains how to build Docker images from the Java projects, apply the provided YAML files, and verify the deployment via the Kubernetes dashboard. Verification steps include accessing the front‑end, checking Zipkin traces, using Sentinel for rate‑limiting and circuit‑breaking, and observing JVM metrics in Grafana. The system demonstrates that a failure of a single instance does not affect overall service availability.

In conclusion, the article provides a practical, end‑to‑end example of building a resilient microservice architecture on Kubernetes, covering design principles, code organization, deployment tooling, and observability.