# Kubernetes Platform Engineering
All Kubernetes Platform Engineering notes →1 — GitOps for Platform Teams
Covers GitOps Principles, Desired State, Reconciliation, and Drift Detection.
2 — Cluster Bootstrapping
Covers Declarative Cluster Creation, Day-0 Automation, and Cluster Provisioning.
3 — Platform Automation Pipelines
Covers Infrastructure Automation, Application Automation, Platform Automation, and Event-Driven Workflows.
4 — Kubernetes Operators
Covers Operator Pattern, Custom Controllers, Operator Lifecycle, and Platform Operators.
1 — Ingress & Gateway Platforms
Covers Ingress Controllers, Gateway API, API Gateways, and Traffic Management.
2 — Service Discovery
Covers DNS, Internal Services, External Services, and Service Registry.
3 — Storage Platforms
Covers CSI, Dynamic Provisioning, Storage Classes, and Backup.
4 — Secret Management
Covers External Secrets, Secret Stores, Rotation, and Encryption.
5 — Platform Networking
Covers CNI, Load Balancing, Service Networking, and Egress Management.
1 — Kubernetes Security Architecture
The layered security model for a Kubernetes platform — cluster boundary, workload boundary, and identity boundary — and how they compose into defense in depth.
2 — Admission Controllers
How admission controllers intercept and validate or mutate API requests before they're persisted, and where platform-wide policy enforcement belongs in that pipeline.
3 — Policy as Code
Covers Kyverno, and OPA Gatekeeper.
4 — Supply Chain Security
Covers Image Signing, SBOM, and Provenance.
5 — Runtime Security
Covers Falco, Runtime Detection, and Threat Response.
1 — High Availability
Designing a Kubernetes platform's control plane and workloads to survive node, zone, and region failures without service interruption.
2 — Autoscaling
Covers HPA, VPA, Cluster Autoscaler, and KEDA.
3 — Capacity Planning
Forecasting cluster and node-pool capacity against workload growth, and the signals that trigger a scale-up decision before it becomes an incident.
4 — Platform Disaster Recovery
Recovery objectives, backup strategy, and failover procedures for restoring a Kubernetes platform after a catastrophic failure.
5 — Chaos Engineering
Deliberately injecting failure into a Kubernetes platform to validate that its resilience assumptions hold under real conditions.
1 — Shared Cluster Without Governance
What happens when teams share a cluster with no tenancy boundaries, quotas, or ownership model in place.
2 — Namespace Sprawl
How unmanaged namespace creation erodes a platform's ability to reason about ownership, cost, and blast radius.
3 — Manual Cluster Operations
The operational debt that accumulates when cluster lifecycle tasks are performed by hand instead of through automation.
4 — Platform Team as Cluster Admins
Why routing every developer request through platform-team cluster-admin access defeats the purpose of a self-service platform.
5 — Poor Multi-Tenancy Design
Common tenancy-isolation mistakes — under-isolating shared resources or over-isolating to the point self-service breaks down.
6 — Ignoring Developer Experience
How a platform that is technically correct but hard to use pushes developers toward workarounds that undermine the platform itself.