Kubernetes workloads và vận hành có kiểm soát

Nội dung luyện tập

• identify pod network sharing
• reason about desired state controller
• match service selector to pod labels
• distinguish secret encoding from protection
• separate readiness and liveness actions
• avoid restart amplification from dependency health
• trace service to container port
• distinguish scheduling request and runtime limit
• understand configmap environment lifecycle
• choose storage lifetime for durable data
• separate startup window from liveness
• provide baseline for utilization autoscaling
• diagnose memory limit with observed failure
• distinguish eviction budget from rollout policy
• include dns in egress policy design
• coordinate once per release work
• account for surge scheduling capacity
• separate stable storage identity from recovery
• cloud mutating webhooks collective idempotence
• combine failure domain placement and disruption policy

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