What is considered good practice for deploying…

A good practice for deploying Kubernetes includes the following:

Using IaC (Infrastructure as Code): Automating the creation and management of the cluster with tools like Terraform, CloudFormation, Pulumi. This ensures repeatability, versioning, and transparency.
Choosing a distribution: Prefer managed services (GKE, EKS, AKS) to reduce operational overhead. If on-premise or greater flexibility is required, consider OpenShift, Rancher, kOps, kubeadm.
High availability: The cluster architecture should ensure fault tolerance of the Control Plane and Worker Nodes by distributing components across multiple availability zones or even regions.
Security:
- Enable RBAC (Role-Based Access Control) to manage access to resources.
- Use network policies to restrict pod-to-pod communication.
- Regularly update the cluster to the latest versions to fix vulnerabilities.
- Manage secrets with specialized solutions (HashiCorp Vault, Kubernetes Secrets with etcd encryption).
- Audit access and actions within the cluster.
Monitoring and logging: Set up comprehensive cluster and application health monitoring (Prometheus, Grafana, Stackdriver, CloudWatch) and centralized log collection (ELK Stack, Fluentd, Loki).
CI/CD: Integrate application deployment into CI/CD pipelines using tools (Jenkins, GitLab CI, GitHub Actions, Argo CD, Flux CD). Implement GitOps practices for automating cluster state synchronization with Git repositories.
Testing: Conduct automated testing of deployments and cluster configuration.
Configuration management: Use Helm or Kustomize for parameterization and deployment management.
Backup: Set up regular backups of etcd and other critical cluster components, as well as application data.
Documentation: Maintain up-to-date documentation on architecture, configuration, and deployment processes.

Example of a simple Helm chart for deploying an application:

# values.yaml
replicaCount: 2
image:
  repository: nginx
  tag: stable
  pullPolicy: IfNotPresent
service:
  type: ClusterIP
  port: 80
ingress:
  enabled: false
  hostname: chart-example.local

# templates/deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: {{ include "mychart.fullname" . }}
  labels:
    {{ include "mychart.labels" . | nindent 4 }}
spec:
  replicas: {{ .Values.replicaCount }}
  selector:
    matchLabels:
      {{ include "mychart.selectorLabels" . | nindent 6 }}
  template:
    metadata:
      labels:
        {{ include "mychart.selectorLabels" . | nindent 8 }}
    spec:
      containers:
        - name: {{ .Chart.Name }}
          image: "{{ .Values.image.repository }}:{{ .Values.image.tag }}"
          imagePullPolicy: {{ .Values.image.pullPolicy }}
          ports:
            - name: http
              containerPort: 80
              protocol: TCP

# templates/service.yaml
apiVersion: v1
kind: Service
metadata:
  name: {{ include "mychart.fullname" . }}
  labels:
    {{ include "mychart.labels" . | nindent 4 }}
spec:
  type: {{ .Values.service.type }}
  ports:
    - port: {{ .Values.service.port }}
      targetPort: http
      protocol: TCP
      name: http
  selector:
    {{ include "mychart.selectorLabels" . | nindent 4 }}

What is considered good practice for deploying Kubernetes in the industry?