24 April 2026
Deploying Posit Team on Kubernetes with Helm
An open-source Helm chart for deploying the full Posit Team suite (RStudio Workbench, Connect, and Package Manager) on Kubernetes.
Projects DevOps Infrastructure
Helm Kubernetes RStudio
Why This Exists
Data science teams need infrastructure. They need RStudio, they need a way to publish reports and APIs, and they need a package manager that doesn’t break every Monday. Posit Team (formerly RStudio Team) provides all of this — but deploying it on Kubernetes isn’t straightforward.
There was no official Helm chart that deployed the full suite together with sensible defaults. So I built one.
What It Deploys
The Helm chart sets up the complete Posit Team stack:
- Posit Workbench (RStudio IDE) — The development environment for R and Python
- Posit Connect — Publishing platform for Shiny apps, R Markdown reports, APIs, and dashboards
- Posit Package Manager — Local CRAN/PyPI mirror for reproducible environments
Key Features
# values.yaml (simplified)
workbench:
replicas: 1
resources:
limits:
memory: "4Gi"
cpu: "2"
persistence:
size: 50Gi
connect:
replicas: 2
ingress:
enabled: true
host: connect.example.com
packageManager:
persistence:
size: 100Gi
The chart includes:
- Persistent storage — User home directories and published content survive pod restarts
- Authentication integration — LDAP, SAML, and OAuth2 support out of the box
- Resource limits — Configurable CPU/memory for each component
- Ingress routing — Expose services through your existing ingress controller
- Health checks — Liveness and readiness probes for all components
Architecture Decisions
- One chart, three services — Simpler to manage than three separate deployments with cross-dependencies
- Sensible defaults — Works out of the box for small teams, configurable for enterprise
- Storage-first design — Every stateful component has explicit PVC configuration
What I Learned
- Helm charts are deceptively complex — Templating logic for conditional resources, nested values, and cross-service dependencies requires careful design.
- Kubernetes for stateful workloads is a different game than stateless microservices. Persistent volumes, pod affinity, and graceful shutdown matter a lot.
- Documentation is the product — For infrastructure tools, clear docs with real examples are more important than clever code.
Try It
The chart is open source: posit-team-helm-k8s on GitHub