Kubernetes Advanced

Understands core Kubernetes concepts: pods, nodes, namespaces, and labels. Performs basic cluster operations like scaling replicas and restarting deployments under guidance.

Understands basic Kubernetes Advanced concepts. Uses ready-made configurations. Performs simple operations under senior guidance.

Works with namespaces and RBAC for team isolation on the platform. Configures ResourceQuotas and LimitRanges for tenants. Understands Ingress controllers and network policies. Uses kubectl for diagnosing cluster problems.

Works with Kubernetes for SRE: kubectl for diagnostics, pod logs, describe for troubleshooting. Understands deployments, services, configmaps. Follows runbooks during incidents.

Manages Kubernetes clusters with custom resource definitions and operators. Configures persistent storage, resource quotas, and horizontal pod autoscaling for production workloads.

Independently configures and manages Kubernetes Advanced. Writes IaC for typical tasks. Understands networking and security basics.

Creates Custom Resource Definitions (CRDs) for automating platform processes. Configures Pod Security Standards and Network Policies for multi-tenant clusters. Manages stateful applications through operators (etcd, PostgreSQL). Optimizes scheduler and affinity rules.

Administers Kubernetes: RBAC, network policies, resource quotas. Configures HPA/VPA for autoscaling. Diagnoses complex issues: CrashLoopBackOff, evictions, networking issues.

Designs infrastructure solutions with Kubernetes Advanced. Optimizes cost and performance. Implements best practices and security hardening.

Architects infrastructure solutions with Kubernetes Advanced. Optimizes cost and performance. Implements best practices and security hardening.

Develops Kubernetes operators for IDP automation (Operator SDK/kubebuilder). Designs multi-tenant architecture with virtual clusters (vCluster). Implements advanced networking (Cilium, eBPF). Creates admission webhooks for platform policy enforcement.

Designs Kubernetes reliability: pod disruption budgets, topology spread constraints, custom operators for automation. Configures multi-zone deployment, graceful shutdown. Optimizes cluster performance.

Defines Kubernetes platform strategy including cluster provisioning automation, security hardening standards, and disaster recovery procedures. Conducts architecture reviews for workload placement and resource optimization.

Defines infrastructure strategy with Kubernetes Advanced. Establishes IaC standards. Conducts architecture reviews. Optimizes FinOps.

Defines multi-cluster Kubernetes strategy for organization: federation, fleet management (Rancher/Tanzu). Leads platform API development through CRDs and controllers. Designs cluster lifecycle management with automatic upgrades and disaster recovery.

Defines K8s standards: cluster configuration baselines, security hardening, upgrade procedures. Implements policy engines (Kyverno/OPA Gatekeeper). Coordinates cluster lifecycle management.

Defines advanced Kubernetes pattern architecture for the organization: custom operators with controller-runtime, CRD design for internal abstractions, multi-cluster federation through Liqo or Admiralty. Designs Kubernetes extension strategy through admission webhooks, scheduler extenders and custom CNI plugins.

Defines the strategy for advanced Kubernetes capabilities in the MLOps platform: custom operators for ML model lifecycle management, CRDs for describing training pipelines. Designs GPU scheduling architecture with device plugins, configures topology-aware scheduling for distributed training, and defines autoscaling policies for inference based on GPU utilization.

Shapes architectural strategy for Kubernetes platform: edge computing, serverless on K8s (Knative), WebAssembly workloads. Influences upstream Kubernetes through KEPs and community contributions. Defines 3-5 year roadmap for organizational container platform evolution.

Designs Kubernetes platform: multi-cluster management (fleet), federation, cluster-as-a-service. Defines K8s evolution strategy: version upgrades, feature adoption, vendor evaluation.