Kubernetes Best Practices Scope

Kubernetes Best Practices Scope is the definition of what this knowledge area covers: cross-cutting, practical guidance that synthesizes and applies the deep-dive mechanisms already covered under observability, extensibility, packaging, and reliability into concrete, everyday operational recommendations, rather than introducing new Kubernetes mechanisms of its own.

What Best Practices Covers

Synthesis Over New Mechanism

Where prior knowledge areas explained how a specific mechanism works, a PodDisruptionBudget's eviction semantics, a Helm chart's template rendering, an APIService's aggregation model, best practices addresses the higher-level judgment calls that span multiple mechanisms at once: how tightly to scope RBAC for a given team, how to structure manifests for maintainability, when to introduce an Operator versus a simpler primitive, which resource requests are appropriate for a given workload class.

# not: "here is how requests and limits work"
# but: "here is how to choose requests and limits for this workload"
resources:
  requests: { cpu: 250m, memory: 256Mi }

Judgment Calls, Not Just Facts

A best practice is inherently a recommendation under trade-offs, not a fact about how Kubernetes behaves; this scope specifically addresses situations where multiple technically valid approaches exist and a considered default recommendation, along with the reasoning and exceptions behind it, is more useful than an exhaustive enumeration of every possible configuration.

Cross-Cutting Themes Within Scope

Security Hygiene as Applied Practice

securityContext:
  runAsNonRoot: true
  readOnlyRootFilesystem: true
  allowPrivilegeEscalation: false

Baseline security defaults, applicable across nearly every workload regardless of its specific purpose, fall within scope here as practical, broadly applicable recommendations, distinct from the deep security architecture concerns (admission control internals, RBAC escalation prevention mechanics) already covered under extensibility.

Manifest and Repository Hygiene

Conventions for naming, labeling, directory structure, and manifest organization that make a growing set of Kubernetes resources maintainable over time fall within scope, building directly on the packaging and customization mechanisms already covered without re-explaining how those mechanisms themselves work.

Everyday Operational Judgment

Guidance on choosing between workload types for a given use case, sizing resource requests, deciding when complexity (an Operator, a service mesh, a custom scheduler) is actually warranted versus premature, represents the kind of practical decision-making this scope addresses directly.

What Falls Outside This Scope

Mechanism Explanation Already Covered Elsewhere

# out of scope here: "how does a PodDisruptionBudget's eviction API work"
# in scope here: "should this specific workload have a PodDisruptionBudget, and what value"

Detailed explanation of how a specific Kubernetes feature functions internally remains the responsibility of the knowledge area that already covers it; best practices assumes that underlying mechanism knowledge and focuses on the application-level decision of when and how to use it well.

Prescriptive Rules Without Context

A recommendation presented without its underlying trade-off reasoning ("always use three replicas") is explicitly the kind of shallow guidance this scope avoids; every practice covered here should be traceable back to the specific mechanism and trade-off, already established elsewhere, that justifies it, so a reader can correctly judge when a given recommendation does not apply to their specific situation.

Relationship to the Broader Codartium Kubernetes Knowledge Base

This scope statement establishes the working boundary for every subsequent topic in Kubernetes Best Practices: it draws on and applies the observability, extensibility and Operators, packaging and customization, and reliability and availability knowledge already established, turning that mechanism-level understanding into the practical, everyday judgment calls that determine whether a Kubernetes deployment is not merely technically correct, but well-designed, maintainable, and appropriately scoped to its actual operational needs.