Introduction
Azure Kubernetes Service (AKS) is a managed container orchestration service that simplifies deploying, managing, and scaling containerized applications. This guide covers essential practices for running production workloads.
Cluster Setup
Node Pool Configuration
For production, use multiple node pools:
# Create system node pool
az aks nodepool add \
--resource-group myResourceGroup \
--cluster-name myAKSCluster \
--name systempool \
--node-count 3 \
--mode System
# Create user node pool for workloads
az aks nodepool add \
--resource-group myResourceGroup \
--cluster-name myAKSCluster \
--name workloadpool \
--node-count 5 \
--node-vm-size Standard_D4s_v3 \
--mode User
Security Best Practices
1. Enable Azure AD Integration
az aks update \
--resource-group myResourceGroup \
--name myAKSCluster \
--enable-aad \
--aad-admin-group-object-ids <group-id>
2. Use Managed Identities
Enable workload identity for secure Azure service access:
apiVersion: v1
kind: ServiceAccount
metadata:
annotations:
azure.workload.identity/client-id: <client-id>
name: workload-identity-sa
3. Network Policies
Implement network policies to control traffic:
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: deny-all-ingress
spec:
podSelector: {}
policyTypes:
- Ingress
Scaling Strategies
Horizontal Pod Autoscaler
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: my-app-hpa
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: my-app
minReplicas: 3
maxReplicas: 100
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
Cluster Autoscaler
Enable automatic node scaling:
az aks update \
--resource-group myResourceGroup \
--name myAKSCluster \
--enable-cluster-autoscaler \
--min-count 3 \
--max-count 10
Monitoring and Observability
Enable Container Insights
az aks enable-addons \
--resource-group myResourceGroup \
--name myAKSCluster \
--addons monitoring
Prometheus and Grafana
Deploy the monitoring stack for comprehensive observability.
Conclusion
Running production workloads on AKS requires careful planning around security, scaling, and monitoring. Follow these best practices to ensure reliable and secure deployments.


