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
๐งฉ Helm Fundamentals & Template Development
- Helm Loops: Helm Hack #1 โ Master iteration patterns in Helm templates for dynamic resource generation.
- Helm Templates in Files: How To Customize ConfigMaps Content Simplified in 10 Minutes โ Use external template files for complex configuration management in Helm charts.
- Helm Dependency: Discover How it Works โ Deep dive into chart dependencies, subchart configuration, and dependency resolution patterns.
- Unlocking Flexibility and Reusability: Harnessing the Power of Helm Multiple Instances Subcharts โ Deploy multiple instances of the same subchart with different configurations.
โ๏ธ Advanced Helm Features & Commands
- Advanced Helm Tips and Tricks: Uncommon Commands and Flags for Better Kubernetes Management โ Master advanced Helm CLI commands, flags, and operational patterns for production environments.
- Understanding Helm Hooks: A Guide to Using Hooks in Your Helm Charts โ Leverage Helm hooks for pre/post-install actions, database migrations, and lifecycle management.
- Helm v3.17 Introduces take-ownership: What It Solves and When To Use It โ Adopt existing Kubernetes resources into Helm management with the take-ownership feature.
- Helm Drivers: A Deep Dive into Storage and State Management โ Understand how Helm stores release state and choose the right storage backend for production.
๐ Helm Evolution & Latest Features
- Helm 4.0 Everything you need to know about the biggest evolution of the Helm ecosystem โ Explore the major changes, new features, and migration considerations for Helm 4.0.
๐งช Chart Testing & Quality Assurance
- Why Helm Chart Testing Matters (And How to Choose Your Tools) โ Comprehensive guide to testing Helm charts with tools like helm-lint, chart-testing, helm-unittest, and Conftest.
๐ฆ Production Deployment Patterns
- Top 3 Options To Deploy Scalable Loki On Kubernetes โ Deploy production-grade Loki using Helm charts with multiple deployment models.
- Hashicorp Vault Installation on Kubernetes: Quick and Simple in 3 Easy Steps โ Deploy Hashicorp Vault on Kubernetes using the official Helm chart.
๐ Helm Ecosystem & Tools
- Kubernetes Operators: 5 Things You Truly Need to Know โ Understand how Helm and Operators complement each other for application lifecycle management.
- Learn How to Write Kubernetes YAML Manifest more Efficiently โ Best practices for writing maintainable YAML that translates well to Helm templates.
๐งญ 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.
๐ Related Topics
- Kubernetes Architecture, Patterns & Production Best Practices
- TIBCO Integration Platform: Patterns & Best Practices
- GitOps & Continuous Deployment
- Service Mesh & API Management