Platform Engineering Academy · Enterprise Knowledge Graph

Kubernetes Platform Knowledge Graph

Relate containers, clusters, networking, storage, identity, policy, delivery pipelines and observability across a production Kubernetes platform.

Objective: Build a connected mental model of Kubernetes components and the enterprise services required to operate them safely.

Practical guidance

Foundations and prerequisites

01

Containers, images, registries and orchestration concepts

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02

Pods, deployments, services, namespaces and scheduling

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03

YAML, kubectl and basic Linux or networking knowledge

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Practical guidance

Technology relationships and dependencies

01

Ingress, services and network policy govern application traffic

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02

Secrets, workload identity and RBAC control access

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03

Persistent volumes, CSI drivers and backup support stateful workloads

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Practical guidance

Architecture, delivery and operations

01

Connect GitOps or CI/CD to controlled deployment workflows

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02

Apply admission policy, image assurance and runtime security

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03

Operate upgrades, scaling, capacity, telemetry and incident response

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Practical guidance

Validation and learning evidence

01

Trace a request from ingress to pod, dependency and datastore

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02

Test node loss, scaling, policy enforcement and rollback

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03

Capture service ownership, SLOs and recovery procedures

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