81 helm charts
In this section
- Build Your Helm SkillCreate your Helm chart skill in one prompt, then learn to improve it throughout the chapter
- JIT Chapter 81: Helm Charts for AI ServicesBuild your Helm skill first, then learn to understand and refine it into a production-ready asset
- Introduction to HelmHelm is the package manager for Kubernetes that solves the repetitive YAML problem by templating deployments with parameterized values, enabling consistent multi-environment deployments from a single.
- Advanced Go TemplatingGo templating enables dynamic Kubernetes manifests through variables, pipelines, conditionals, and iteration, transforming static YAML into adaptive configurations that respond to environment.
- Named Templates and HelpersNamed templates (partials) enable DRY principles in Helm charts by defining reusable template fragments in _helpers.tpl that can be included across multiple manifests with consistent labels.
- Values Deep DiveValues override precedence hierarchy (values.yaml < -f file < --set) enables multi-environment deployments from a single chart, while schema validation prevents invalid configurations before.
- Chart DependenciesChart dependencies enable composition of production infrastructure by declaring subcharts (PostgreSQL, Redis) in Chart.yaml, so a single helm install deploys your application with all its supporting.
- Helm Hooks and Lifecycle ManagementHelm hooks execute Kubernetes Jobs at specific lifecycle points (pre-install, pre-upgrade, post-delete) to automate tasks like database migrations, cache invalidation, and backup creation as part of.
- Testing Your ChartsChart testing spans static validation (helm lint, helm template) to runtime verification (test pods, helm test), creating a safety net that catches errors before they reach production.
- OCI Registries and DistributionHelm charts distribute via OCI-compliant registries (Docker Hub, ECR, ACR) using the same infrastructure and authentication as container images, unifying artifact management with semantic versioning.
- Library Charts and Organizational StandardizationLibrary charts (type: library) encode organizational standards as reusable templates that application charts consume as dependencies, ensuring consistent labels, probes, and security contexts across.
- AI-Assisted Chart DevelopmentAI collaboration accelerates chart development through iterative refinement: initial generation, critical evaluation, constraint teaching, and validation produce solutions superior to either AI.
- Capstone: Production AI Agent ChartSpecification-first development produces production-grade Helm charts by establishing clear success criteria and acceptance tests before implementation, then synthesizing all chapter concepts into a.
Kubernetes Security Deep Dive (Optional)
Production-grade security requires multiple layers: non-root execution (SecurityContext), read-only filesystems (emptyDir for writable paths), network isolation (NetworkPolicies), and image scanning.
Build Your Helm Skill
Create your Helm chart skill in one prompt, then learn to improve it throughout the chapter