automated terminal push
All checks were successful
learn org at code.softwareshinobi.com/docker.softwareshinobi.com/pipeline/head This commit looks good
All checks were successful
learn org at code.softwareshinobi.com/docker.softwareshinobi.com/pipeline/head This commit looks good
This commit is contained in:
186
docs/010-docker-and-kubernetes.md
Normal file
186
docs/010-docker-and-kubernetes.md
Normal file
@@ -0,0 +1,186 @@
|
||||
# Docker in Production: Orchestration with Kubernetes
|
||||
|
||||
Kubernetes (K8s) is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It works well with Docker and provides a robust set of features for running containers in production.
|
||||
|
||||
Kubernetes is a topic of its own, but here are some key concepts and best practices for using Kubernetes with Docker in production environments.
|
||||
|
||||
## Key Kubernetes Concepts
|
||||
|
||||
1. **Pods**: The smallest deployable units in Kubernetes, containing one or more containers.
|
||||
2. **Services**: An abstract way to expose an application running on a set of Pods.
|
||||
3. **Deployments**: Describe the desired state for Pods and ReplicaSets.
|
||||
4. **Namespaces**: Virtual clusters within a physical cluster.
|
||||
|
||||
## Setting Up a Kubernetes Cluster
|
||||
|
||||
You can set up a local Kubernetes cluster using Minikube:
|
||||
|
||||
```bash
|
||||
minikube start
|
||||
```
|
||||
|
||||
For production, consider managed Kubernetes services like Google Kubernetes Engine (GKE), Amazon EKS, or Azure AKS.
|
||||
|
||||
## Deploying a Docker Container to Kubernetes
|
||||
|
||||
1. Create a Deployment YAML file (`deployment.yaml`):
|
||||
|
||||
```yaml
|
||||
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:1.14.2
|
||||
ports:
|
||||
- containerPort: 80
|
||||
```
|
||||
|
||||
2. Apply the Deployment:
|
||||
|
||||
```bash
|
||||
kubectl apply -f deployment.yaml
|
||||
```
|
||||
|
||||
3. Create a Service to expose the Deployment (`service.yaml`):
|
||||
|
||||
```yaml
|
||||
apiVersion: v1
|
||||
kind: Service
|
||||
metadata:
|
||||
name: nginx-service
|
||||
spec:
|
||||
selector:
|
||||
app: nginx
|
||||
ports:
|
||||
- protocol: TCP
|
||||
port: 80
|
||||
targetPort: 80
|
||||
type: LoadBalancer
|
||||
```
|
||||
|
||||
4. Apply the Service:
|
||||
|
||||
```bash
|
||||
kubectl apply -f service.yaml
|
||||
```
|
||||
|
||||
## Scaling in Kubernetes
|
||||
|
||||
Scale your deployment easily:
|
||||
|
||||
```bash
|
||||
kubectl scale deployment nginx-deployment --replicas=5
|
||||
```
|
||||
|
||||
## Rolling Updates
|
||||
|
||||
Update your application without downtime:
|
||||
|
||||
```bash
|
||||
kubectl set image deployment/nginx-deployment nginx=nginx:1.16.1
|
||||
```
|
||||
|
||||
## Monitoring and Logging
|
||||
|
||||
1. View Pod logs:
|
||||
|
||||
```bash
|
||||
kubectl logs <pod-name>
|
||||
```
|
||||
|
||||
2. Use Prometheus and Grafana for monitoring:
|
||||
|
||||
```yaml
|
||||
helm install prometheus stable/prometheus
|
||||
helm install grafana stable/grafana
|
||||
```
|
||||
|
||||
## Kubernetes Dashboard
|
||||
|
||||
Enable the Kubernetes Dashboard for a GUI:
|
||||
|
||||
```bash
|
||||
minikube addons enable dashboard
|
||||
minikube dashboard
|
||||
```
|
||||
|
||||
## Persistent Storage in Kubernetes
|
||||
|
||||
Use Persistent Volumes (PV) and Persistent Volume Claims (PVC):
|
||||
|
||||
```yaml
|
||||
apiVersion: v1
|
||||
kind: PersistentVolumeClaim
|
||||
metadata:
|
||||
name: mysql-pv-claim
|
||||
spec:
|
||||
accessModes:
|
||||
- ReadWriteOnce
|
||||
resources:
|
||||
requests:
|
||||
storage: 1Gi
|
||||
```
|
||||
|
||||
## Kubernetes Networking
|
||||
|
||||
1. **ClusterIP**: Exposes the Service on a cluster-internal IP.
|
||||
2. **NodePort**: Exposes the Service on each Node's IP at a static port.
|
||||
3. **LoadBalancer**: Exposes the Service externally using a cloud provider's load balancer.
|
||||
|
||||
## Kubernetes Secrets
|
||||
|
||||
Manage sensitive information:
|
||||
|
||||
```bash
|
||||
kubectl create secret generic my-secret --from-literal=password=mysecretpassword
|
||||
```
|
||||
|
||||
Use in a Pod:
|
||||
|
||||
```yaml
|
||||
spec:
|
||||
containers:
|
||||
- name: myapp
|
||||
image: myapp
|
||||
env:
|
||||
- name: SECRET_PASSWORD
|
||||
valueFrom:
|
||||
secretKeyRef:
|
||||
name: my-secret
|
||||
key: password
|
||||
```
|
||||
|
||||
## Helm: The Kubernetes Package Manager
|
||||
|
||||
Helm simplifies deploying complex applications:
|
||||
|
||||
```bash
|
||||
helm repo add bitnami https://charts.bitnami.com/bitnami
|
||||
helm install my-release bitnami/wordpress
|
||||
```
|
||||
|
||||
## Best Practices for Kubernetes in Production
|
||||
|
||||
1. Use namespaces to organize resources.
|
||||
2. Implement resource requests and limits.
|
||||
3. Use liveness and readiness probes.
|
||||
4. Implement proper logging and monitoring.
|
||||
5. Regularly update Kubernetes and your applications.
|
||||
6. Use Network Policies for fine-grained network control.
|
||||
7. Implement proper RBAC (Role-Based Access Control).
|
||||
|
||||
## Conclusion
|
||||
|
||||
Kubernetes provides a powerful platform for orchestrating Docker containers in production environments. It offers robust features for scaling, updating, and managing containerized applications. While there's a learning curve, the benefits of using Kubernetes for production Docker deployments are significant, especially for large, complex applications.
|
||||
Reference in New Issue
Block a user