What is Open WebUI, and How to Deploy It in an Enterprise Data Stack?

Last updated on

May 12, 2026

Open WebUI

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What is Open WebUI?

Open WebUI is a self-hosted AI interface platform that enables organizations to run large language models completely offline while providing a sophisticated web-based workspace for users. It integrates with various LLM runners and offers customizable features to support different workflows and use cases. For example, a financial services company can deploy Open WebUI to analyze customer support tickets using AI, automatically categorizing issues and generating detailed response templates - all while keeping sensitive customer data secure within their own infrastructure and maintaining full control over the AI processing pipeline.

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Why is Open WebUI better on Shakudo?

Open WebUI's integration with Shakudo's operating system enables seamless deployment and management alongside your entire AI toolkit. The platform's offline capabilities and support for various LLM runners are enhanced through Shakudo's infrastructure, which provides enterprise-grade security and unified access control while maintaining the flexibility to run entirely within your VPC. The integration automatically handles complex configurations and dependencies, making it immediately productive within your existing AI ecosystem.

While Open WebUI traditionally requires significant setup and maintenance effort for enterprise deployment, Shakudo's infrastructure automation eliminates these hurdles completely. Teams can focus on leveraging Open WebUI's extensible features for their AI workflows rather than wrestling with deployment, security, and integration challenges.

Most importantly, as Open WebUI evolves and new LLM runners emerge, Shakudo's operating system ensures your implementation stays current without disruptive changes. This future-proofing aspect, combined with Shakudo's expert guidance and infrastructure automation, transforms what would typically be a months-long integration project into a weeks-long deployment that delivers immediate business value while maintaining enterprise-grade security and compliance standards.

Why is better on Shakudo?

Core Shakudo Features

Own Your AI

Keep data sovereign, protect IP, and avoid vendor lock-in with infra-agnostic deployments.

Faster Time-to-Value

Pre-built templates and automated DevOps accelerate time-to-value.

Flexible with Experts

Operating system and dedicated support ensure seamless adoption of the latest and greatest tools.

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Neal Gilmore

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Deployment Runbook

This runbook is for the Shakudo-managed deployment path for OpenWebUI in a customer environment. It is written as public-facing guidance and avoids customer-specific hostnames, private cluster details, or real secrets.

Prerequisites

Step 1 — Prepare namespace and deployment values

export OPENWEBUI_NAMESPACE="openwebui"
export OPENWEBUI_RELEASE="openwebui"
export OPENWEBUI_HOST="<openwebui-subdomain>.<customer-domain>"
export STORAGE_CLASS="<storage-class>"

kubectl create namespace "$OPENWEBUI_NAMESPACE" --dry-run=client -o yaml > namespace.yaml

Step 2 — Create required secrets

kubectl -n "$OPENWEBUI_NAMESPACE" create secret generic openwebui-secrets   --from-literal=OPENWEBUI_SECRET_KEY="<session-secret>"   --from-literal=LITELLM_BASE_URL="<litellm-base-url>"   --from-literal=LITELLM_API_KEY="<litellm-api-key>"   --dry-run=client -o yaml > openwebui-secrets.yaml

Step 3 — Configure values for deployment

cat > openwebui-values.yaml <<'EOF'
image:
  repository: <approved-openwebui-image-repository>
  tag: <version>

service:
  type: ClusterIP
  port: 8080

ingress:
  enabled: true
  host: <openwebui-subdomain>.<customer-domain>
  tls: true

auth:
  mode: shakudo

integrations:
  litellm:
    enabled: true
    existingSecret: openwebui-secrets

persistence:
  enabled: true
  storageClass: <storage-class>
  size: 10Gi
EOF

Step 4 — Deploy OpenWebUI

kubectl apply -f namespace.yaml
kubectl apply -f openwebui-secrets.yaml

helm upgrade --install "$OPENWEBUI_RELEASE" <openwebui-chart>   --namespace "$OPENWEBUI_NAMESPACE"   --values openwebui-values.yaml

kubectl -n "$OPENWEBUI_NAMESPACE" rollout status deploy/openwebui --timeout=300s

Step 5 — Validate Kubernetes resources

kubectl -n "$OPENWEBUI_NAMESPACE" get pods
kubectl -n "$OPENWEBUI_NAMESPACE" get svc
kubectl -n "$OPENWEBUI_NAMESPACE" get ingress
kubectl -n "$OPENWEBUI_NAMESPACE" logs deploy/openwebui --tail=100

Step 6 — Validate platform access

# Validate from Shakudo:
# 1. Log into Shakudo
# 2. Open Stack Components
# 3. Launch OpenWebUI
# 4. Confirm the route opens with Shakudo-managed authentication

curl -I "https://$OPENWEBUI_HOST"

Step 7 — Smoke test model access

# In OpenWebUI, select an approved model and run a simple prompt.
# Confirm a response is returned and check logs if model access fails.

kubectl -n "$OPENWEBUI_NAMESPACE" logs deploy/openwebui --tail=100

Rollback guidance

helm -n "$OPENWEBUI_NAMESPACE" history "$OPENWEBUI_RELEASE"
helm -n "$OPENWEBUI_NAMESPACE" rollback "$OPENWEBUI_RELEASE" <revision>

# If this was a first deployment and rollback is not applicable:
# helm -n "$OPENWEBUI_NAMESPACE" uninstall "$OPENWEBUI_RELEASE"