High Availability

“https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/ha-topology/”

“https://medium.com/velotio-perspectives/demystifying-high-availability-in-kubernetes-using-kubeadm-3d83ed8c458b”

To ensure your Kubernetes (K8s) cluster is production-grade and remains up and running reliably, follow these key steps:

1. High Availability (HA) Setup

• Multi-master architecture: Deploy multiple control plane (master) nodes to avoid a single point of failure. Use etcd in a clustered setup across these nodes.
• Load balancing: Use a load balancer in front of the API servers to distribute traffic across multiple control plane nodes.
• Multi-zone/multi-region deployments: Deploy your worker nodes across multiple availability zones or regions for resilience against regional failures.
• Use managed services (if possible): Managed Kubernetes services (like AWS EKS, GCP GKE, or Azure AKS) offer built-in HA and automatic recovery options.

2. Node Health and Scaling

• Cluster autoscaling: Implement autoscaling for both the control plane and worker nodes to automatically add or remove resources based on demand.
• Pod autoscaling: Configure Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA) to ensure your applications can scale dynamically based on traffic and resource usage.
• Use taints and tolerations: Isolate critical workloads to specific nodes by using taints and tolerations to ensure critical pods don’t end up on unstable nodes.