Interview questions in Docker & Kubernetes, page 3
The Kubernetes reconciliation loop
A controller continuously observes actual state, compares to desired state in the spec, and acts to close the gap, level-triggered not edge-triggered.
Deployment versus StatefulSet
Deployments suit interchangeable stateless replicas, StatefulSets give stable identities, ordered rollout, and per-Pod persistent storage for stateful systems.
Scheduler filtering and scoring phases
Filtering eliminates infeasible Nodes via resources, taints, and affinity, then scoring ranks the survivors to pick the best, after which the Pod is bound.
CRDs and the Operator pattern
CRDs add new API object types, an Operator pairs a CRD with a controller that runs a reconciliation loop encoding domain operational knowledge.
Deployment, ReplicaSet, and Pod hierarchy
A Deployment manages ReplicaSets, each ReplicaSet keeps a set of identical Pods, and Deployments add rolling updates, rollback, and self-healing.
Create a Deployment with 3 replicas via kubectl
Kubectl create deployment webapp --image=my-app:1.0, then kubectl scale to 3 replicas, or use --replicas if supported.
Debugging a Pod in CrashLoopBackOff
Kubectl describe pod for events, restarts, and last state; kubectl logs (with --previous) for the crashed container's output.
How a Deployment rolling update works
New image creates a new ReplicaSet; Deployment scales it up while scaling the old one down per maxSurge/maxUnavailable; old ReplicaSet is retained at zero for rollback.
Rolling back a bad Deployment
Kubectl rollout undo deployment/NAME reverts to the prior revision by scaling the old ReplicaSet back up and the bad one down.
Liveness vs readiness probes
Liveness restarts a stuck container; readiness gates traffic by controlling Service endpoint membership. Readiness-only fits an app that pauses to reload a large cache but is still healthy.
Sharing ephemeral cache between containers in a Pod
Use an emptyDir volume defined in the Pod spec and mounted into each container at the cache path; it is created with the Pod and deleted when the Pod is removed.
Tuning maxSurge and maxUnavailable
MaxSurge allows Pods above desired; maxUnavailable allows Pods below desired during update. For zero downtime and speed, set maxUnavailable 0 and maxSurge high (e.g. 100%).
Stalled rollouts and progressDeadlineSeconds
With maxUnavailable respected, the rollout pauses partway and old Pods keep serving; progressDeadlineSeconds marks the Deployment as failed after no progress for that window.
Spreading Pods one-per-node for availability
Use required podAntiAffinity with topologyKey kubernetes.io/hostname matching the Deployment's own pod labels, so the scheduler refuses to co-locate two Pods on a node.
Why Kubernetes Services exist
Pod IPs are ephemeral and change on reschedule; a Service gives a stable virtual IP and DNS name plus load balancing across healthy Pods via label selectors.
ClusterIP vs NodePort vs LoadBalancer
ClusterIP for internal-only access; NodePort opens a port on every node for basic external reach; LoadBalancer provisions a cloud load balancer for production external traffic.
Cross-namespace Service DNS resolution
CoreDNS gives each Service a name; cross-namespace you must qualify it as my-service.B.svc.cluster.local (or my-service.B).
Ingress for host and path routing
Use an Ingress with an Ingress controller for layer-7 host/path routing behind one external IP, instead of one cloud LoadBalancer per service.
Headless Services and direct Pod DNS
Set clusterIP: None so no virtual IP or proxy load balancing; DNS returns individual Pod IPs (A records). Primary use: StatefulSets needing stable per-Pod addressing.
Debugging Service connectivity between Pods
Kubectl get endpoints to check the Service has Pod IPs (selector match); kubectl describe service to verify selector and ports; exec into the frontend to curl the Service DNS name.
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