Kubernetes Orchestration Basics
Get an introduction to deploying and managing Spring Boot applications on Kubernetes clusters.
Kubernetes Orchestration Basics is a free Spring Boot 4 Complete Guide lesson on CoddyKit — lesson 1 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Spring Boot 4 Complete Guide learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.
Intro to Kubernetes (K8s)
Welcome to Kubernetes basics! Kubernetes (often called K8s) is an open-source system for automating deployment, scaling, and management of containerized applications.
Think of it as an operating system for your cloud. It helps you run your applications reliably, even when traffic spikes or servers fail.
Why K8s for Spring Boot?
For Spring Boot applications, Kubernetes offers huge advantages:
- Automated Scaling: Easily scale your app up or down based on demand.
- Self-Healing: K8s restarts failed containers and replaces unresponsive ones.
- Service Discovery: Helps your microservices find each other.
- Load Balancing: Distributes network traffic to ensure stability.
K8s Cluster: Control & Nodes
A Kubernetes cluster consists of at least one Control Plane (formerly Master) and one or more Nodes (Worker Machines).
- Control Plane: The "brain" of K8s. It manages the cluster, schedules applications, and maintains the desired state.
- Nodes: Where your applications (containers) actually run. Each node has components like a container runtime (e.g., Docker) and a Kubelet agent.
Pods: Your App's Home
A Pod is the smallest, most basic deployable unit in Kubernetes. It represents a single instance of a running process in your cluster.
A Pod typically contains one or more tightly coupled containers (like your Spring Boot app and a sidecar logging agent). All containers in a Pod share the same network namespace and storage.
Deployments: Managing Pods
While Pods are fundamental, you don't usually create them directly. Instead, you use a Deployment.
A Deployment manages a set of identical Pods. It ensures you always have a specified number of Pod replicas running, handles rolling updates, and allows easy scaling of your application.
Services: Exposing Your App
How do users or other applications access your Pods? With a Service!
A Service defines a logical set of Pods and a policy by which to access them. It provides a stable IP address and DNS name, even if the underlying Pods change or scale. Services can also act as load balancers.
`kubectl`: K8s Command Tool
You interact with your Kubernetes cluster using the kubectl command-line tool.
It allows you to run commands against Kubernetes clusters, like deploying applications, inspecting cluster resources, and viewing logs. It's your primary interface to K8s.
kubectl get pods
kubeclt get services
kubeclt apply -f my-app.yamlCreating a Basic Deployment
Let's define a simple Deployment for a 'hello-world' type application using YAML. This tells Kubernetes to run 2 replicas of our image.
Save this as hello-deployment.yaml:
apiVersion: apps/v1
kind: Deployment
metadata:
name: hello-app
spec:
replicas: 2
selector:
matchLabels:
app: hello-app
template:
metadata:
labels:
app: hello-app
spec:
containers:
- name: hello-container
image: k8s.gcr.io/echoserver:1.4
ports:
- containerPort: 8080Applying Your Deployment
Now, let's apply this definition to our Kubernetes cluster using kubectl. After applying, we can check the status of our Pods.
kubectl apply -f hello-deployment.yaml
kubeclt get deployments
kubeclt get pods --selector app=hello-appExposing with a Service
Our Pods are running, but not accessible externally. Let's create a Service to expose our hello-app Deployment. This will create a load balancer to route traffic.
Save this as hello-service.yaml and apply it:
apiVersion: v1
kind: Service
metadata:
name: hello-service
spec:
selector:
app: hello-app
ports:
- protocol: TCP
port: 80
targetPort: 8080
type: LoadBalancerQuick Check on K8s Basics
Which of the following Kubernetes components is responsible for managing a set of identical Pods, handling scaling, and rolling updates?
Recap: K8s Basics
Great job! In this lesson, you learned the fundamental concepts of Kubernetes:
- What K8s is and why it's useful.
- The core architecture: Control Plane and Nodes.
- Key resources: Pods, Deployments, and Services.
- How to use
kubectlto deploy and manage a basic application.
Next, you'll explore advanced topics like distributed tracing and resilience patterns!
Frequently asked questions
Is the “Kubernetes Orchestration Basics” lesson free?
Yes — the full text of “Kubernetes Orchestration Basics” is free to read here on the web, and the Spring Boot 4 Complete Guide course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Spring Boot 4 Complete Guide course, upgrade to CoddyKit PRO.
What will I learn in “Kubernetes Orchestration Basics”?
Get an introduction to deploying and managing Spring Boot applications on Kubernetes clusters. You practise Spring Boot 4 Complete Guide with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.
Do I need any experience to start Spring Boot 4 Complete Guide?
No prior experience is required. Spring Boot 4 Complete Guide on CoddyKit is structured for beginners through advanced learners; this is — lesson 1 of 4, so you can start here or from the beginning and move at your own pace.
How long does the “Kubernetes Orchestration Basics” lesson take?
Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.
Can I write and run code in this Spring Boot 4 Complete Guide lesson?
Yes. Every Spring Boot 4 Complete Guide lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.