Kubernetes Deployments, Autoscaling, & Self-Healing
Automate container operations: Declarative reconciliation loops, health probes, zero-downtime Rolling Updates, Horizontal Pod Autoscaler (HPA), and Karpenter node provisioning.
01.1. The Declarative Reconciliation Loop & Self-Healing
Kubernetes operates on a declarative Reconciliation Loop (Control Loop) model:
Loop: Observe Current State \longrightarrow Compute Diff vs Desired State \longrightarrow Execute Corrective Action
Self-Healing Scenarios:
- Container Crash: If an application crashes (
Exit Code 1or panic), thekubeletrestarts the container according to itsrestartPolicy(e.g.,Always), applying exponential backoff delay (CrashLoopBackOff) if crashes persist. - Node Hardware Failure: Worker nodes maintain periodic heartbeats with the API Server via
Leaseobjects (every 10 seconds). If a node fails to report fornode-monitor-grace-period(default 40s), it is markedNotReady. Afterpod-eviction-timeout(default 5m), the controller evicts the pods and schedules replacements on surviving healthy nodes. - Pod Desired Count Invariant: A
Deploymentmanages aReplicaSet. If the user declaresreplicas: 10and 2 pods are terminated, the ReplicaSet controller detects the diff (Desired = 10, Actual = 8) and immediately creates 2 replacement pods.
Two-Tier Autoscaling: HPA + Karpenter Node Provisioning 📈
Two-Tier Autoscaling: HPA + Karpenter Node Provisioning 📈
Scaling pod replicas dynamically based on CPU/custom metrics, then provisioning cloud VM nodes on demand.
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