Deploy Containerized Microservices Using Kubernetes
Learn how to design, containerize, and deploy a full microservices architecture with independent services, managed by Kubernetes on a scalable cloud infrastructure.Kubernetes is the industry standard for managing containerized workloads. It enables automated deployment, service discovery, load balancing, self-healing, and seamless scaling of microservices, making it ideal for modern cloud-native applications.
Design a modular application with independent microservices (auth, products, orders, etc.), containerize each using Docker, and deploy them using Kubernetes with Ingress, ConfigMaps, and persistent volumes.
Dockerized Microservices
Each service (e.g., Auth, Products, Payments) runs in its own container using a Dockerfile.
Kubernetes Deployment
Use Kubernetes YAML files to define pods, services, deployments, and ingress controllers.
Load Balancing and Autoscaling
Use Kubernetes Services and HPA (Horizontal Pod Autoscaler) to scale based on CPU/memory.
Centralized Configuration & Secrets
Manage environment variables using ConfigMaps and secrets for tokens and DB credentials.
The app will have frontend and backend services deployed via Kubernetes. Each backend microservice will have its own deployment, service, and config. The Ingress controller will route traffic to the appropriate service. Prometheus and Grafana can be used for monitoring.
- Platform: GKE, EKS, AKS, or Minikube for local dev
- Containers: Docker for each microservice
- Orchestration: Kubernetes for scaling, rolling updates, recovery
- Ingress: NGINX Ingress Controller
- Monitoring: Prometheus + Grafana
Service Architecture
Auth (JWT), Product, Orders, Payments, Notification APIs using Node.js or Python
Containerization
Docker + Docker Compose for local testing before pushing to K8s
Kubernetes Deployment
kubectl, Helm (optional), YAML manifests for Deployments, Services, ConfigMaps
Cloud Platform
GCP (GKE), AWS (EKS), or Azure (AKS) for managed Kubernetes clusters
1. Create Microservices
Develop separate APIs for authentication, product catalog, orders, etc.
2. Dockerize Services
Write Dockerfiles for each service and test using Docker Compose locally.
3. Write Kubernetes Manifests
Create YAML files for Deployment, Service, Ingress, ConfigMap, and Secrets.
4. Deploy on Kubernetes Cluster
Use kubectl or Helm to deploy services. Test routing and internal communication.
5. Add Monitoring and Autoscaling
Integrate Prometheus, Grafana, and HPA to scale services based on demand.
Learn the Future of Scalable App Deployment
Master containerization and Kubernetes orchestration to build cloud-native applications that scale, recover, and perform under real-world conditions.
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