📊 Data-Driven Helm Best Practices

Discover what's standard
in Helm charts

We analyzed thousands of Helm charts from Artifact Hub to find the most common patterns, values, and conventions. Build better charts backed by real data.

1,589
Charts analyzed from Artifact Hub
847
Unique value paths discovered
78%
Charts use image.repository
92
Average values per chart

Most Common Helm Values

These are the value paths used most frequently across all analyzed charts. Following these patterns helps your charts feel familiar to users.

image.repositoryUsed in 78% of charts
Container image repository for the main application container
stringcontainerdeployment
image.tagUsed in 76% of charts
Image tag to deploy, typically the application version
stringcontainerversioning
service.typeUsed in 71% of charts
Kubernetes service type (ClusterIP, NodePort, LoadBalancer)
stringnetworkingkubernetes
replicaCountUsed in 68% of charts
Number of pod replicas to run
numberscalingdeployment
resources.limits.cpuUsed in 64% of charts
CPU resource limit for the container
stringresourceskubernetes

Why Standards Matter

Familiarity for Users

When your chart uses common patterns like image.repository and service.type, users know exactly what to expect. No documentation needed for basic configuration.

Tool Compatibility

Many tools and platforms expect standard value names. Using conventions like replicaCountand resources.limits means your charts work seamlessly with monitoring, GitOps, and CI/CD tools.

Reduced Cognitive Load

Engineers switch between charts constantly. Following the same patterns across all charts means less time reading docs, less mental overhead, fewer mistakes.

Community Knowledge

When you follow standards, the vast knowledge base of Helm tutorials, Stack Overflow answers, and blog posts becomes directly applicable to your chart.