Helm Charts & Kubernetes Package Management: Complete Guide

Helm has become the de facto standard for packaging and deploying applications in Kubernetes, but production success requires understanding not just “how to install a chart” but architectural patterns, dependency management, and operational trade-offs in production environments.

This page acts as a technical hub collecting all my in-depth articles on Helm, focused on real-world usage, advanced templating patterns, and production deployment strategies.

The content is aimed at engineers and architects who already use Helm and want to understand why certain patterns work, when to use dependencies vs standalone charts, and how to operate Helm releases reliably at scale.

Understanding Helm’s Role in Kubernetes

Helm is best understood as a package manager and template engine for Kubernetes. Most production challenges don’t come from basic chart installation, but from:

  • Template complexity & reusability patterns
  • Dependency management across multiple charts
  • Release lifecycle & upgrade strategies
  • Testing & validation in CI/CD pipelines
  • Production deployment patterns with GitOps
  • Bitnami charts customization & best practices

๐Ÿงฉ Helm Fundamentals & Template Development

โš™๏ธ Advanced Helm Features & Commands

๐Ÿš€ Helm Evolution & Latest Features

๐Ÿงช Chart Testing & Quality Assurance

๐Ÿ“ฆ Production Deployment Patterns

๐ŸŒ Helm Ecosystem & Tools


๐Ÿงญ How to Use This Helm Hub

New to Helm in production?
Start with fundamentals and template development articles โ€” they expose the most common templating patterns and pitfalls.

Running Helm at scale?
Focus on advanced features (hooks, drivers, testing), dependency management patterns, and the latest Helm 4.0 evolution.

Managing complex deployments?
Study multiple instance subcharts, dependency patterns, and take-ownership for adopting existing resources.

Evaluating chart testing strategies?
Read the comprehensive testing guide to choose the right tools for your CI/CD pipeline.


โ“ FAQ

When should I use Helm vs Kustomize?

Helm excels at packaging, versioning, and sharing applications with parameterization. Kustomize is simpler for overlays and patching. For distributable applications, Helm is the better choice.

How do I manage secrets in Helm charts?

Avoid storing secrets in values files. Use external secrets management (Sealed Secrets, External Secrets Operator, or Hashicorp Vault) and reference them in templates.

What’s the difference between dependencies and subcharts?

They’re related concepts. Dependencies are declared in Chart.yaml and downloaded from repositories. Subcharts are charts stored locally in the charts/ directory. Dependencies become subcharts after helm dependency update.

Should I use Bitnami charts or create my own?

Start with Bitnami charts for standard applications (databases, caches, web servers). They’re production-tested and well-maintained. Create custom charts for your own applications or when specific organizational patterns are required.

How do I test Helm charts in CI/CD?

Combine multiple tools: helm lint for basic validation, chart-testing for integration tests, helm-unittest for unit tests, and policy tools like Conftest for compliance checking.

What’s the upgrade path from Helm 2 to Helm 3?

Use the official helm-2to3 plugin to migrate configuration and releases. Helm 3 removed Tiller, changed release storage, and improved upgrade logic significantly.


๐Ÿ”— Related Topics