Kubernetes A Brief Overview

Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. Originally developed by Google and now maintained by the Cloud Native Computing Foundation (CNCF), Kubernetes has become the de facto standard for running microservices at scale.

Cluster Architecture

A Kubernetes cluster is composed of multiple machines—physical or virtual—called nodes. Nodes are grouped into:

Controller (Master) Nodes: Maintain the cluster state and scheduling.
Worker Nodes: Run your containerized workloads.

Controller Node Components

Component	Responsibility
API Server	Exposes the Kubernetes API for all cluster operations.
Controller Manager	Runs controllers (e.g., Node, Replication) to reconcile desired vs. actual state.
Scheduler	Assigns Pods to worker nodes based on resource requirements and policies.
etcd	Distributed key–value store for cluster configuration and state data.

Pods: The Smallest Deployable Unit

A Pod is the atomic unit in Kubernetes. It can host one or more containers that:

Share the same network namespace (IP & ports).
Mount the same storage volumes.
Communicate via localhost.

When a standalone Pod fails or is deleted, Kubernetes does not recreate it automatically. To enable self-healing and horizontal scaling, use higher-level controllers.

For resilience and zero-downtime updates, wrap Pods in Deployments or ReplicaSets. These controllers ensure the desired replica count and support rolling updates and rollbacks.

The image is a diagram illustrating the basics of Kubernetes architecture, showing the interaction between developers, admins, and ops with the controller node and worker nodes. It includes components like etcd, controller manager, kube apiserver, and scheduler, along with worker nodes running pods with specified vCPU cores.

Deployments

A Deployment provides a declarative approach to managing Pods and ReplicaSets:

Define the desired state (e.g., number of replicas, container image version).
Kubernetes performs rolling updates or automatic rollbacks.
Simplifies application versioning and scaling.

apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx-deployment
spec:
  replicas: 3
  selector:
    matchLabels:
      app: nginx
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
      - name: nginx
        image: nginx:1.19
        ports:
        - containerPort: 80

Services

Kubernetes Services provide a stable network endpoint (virtual IP and DNS name) for a set of Pods. Services decouple application components, enabling you to scale or replace Pods without updating clients.

Service Types

Type	Description	Use Case
ClusterIP	Exposes Service on a cluster-internal IP (default).	Internal communication between microservices.
NodePort	Opens a specific port on each node to forward to the Service.	Expose a service on each node’s IP at a static port.
LoadBalancer	Provisions an external load balancer (cloud-provider dependent).	Route external traffic to the Service using a managed load balancer.

Using a LoadBalancer Service may incur additional costs with your cloud provider (e.g., AWS ELB, GCP Load Balancer). Ensure you understand your infrastructure’s billing model before provisioning.

Ingress

An Ingress resource manages external HTTP/HTTPS access, consolidating multiple Services under a single IP or hostname. Ingress allows advanced routing based on hostnames, paths, or headers, reducing the need for multiple load balancers. An external Ingress controller (e.g., NGINX, Traefik) implements these rules.

The image is a diagram illustrating the basics of Kubernetes architecture, showing the interaction between developers, admins, and operations with the controller node and worker nodes, including components like etcd, kube apiserver, and pods. It also highlights the use of services and ingress for application and development access.

Typically, Services remain of type ClusterIP when fronted by Ingress. This ensures that external traffic flows through the Ingress controller rather than directly to node ports.

Introduction

Architecture & Core Concepts

Continuous Integration with GitLab

Continuous Deployment with GitLab

Optimization, Security and Monitoring

Self-Managed Runners

Auto DevOps

Kubernetes A Brief Overview

Cluster Architecture

Controller Node Components

Pods: The Smallest Deployable Unit

Deployments

Services

Service Types

Ingress

References

Watch Video

​Cluster Architecture

​Controller Node Components

​Pods: The Smallest Deployable Unit

​Deployments

​Services

​Service Types

​Ingress

​References

Watch Video

Cluster Architecture

Controller Node Components

Pods: The Smallest Deployable Unit

Deployments

Services

Service Types

Ingress

References