OpenClaw Enterprise Deployment Checklist – Quick Reference Guide

Introduction

OpenClaw is a self‑hosted AI assistant that enterprises use to automate ticketing, knowledge‑base queries, and internal workflows. Deploying it in an enterprise environment demands careful planning around prerequisites, security hardening, performance tuning, observability, plugin integration, and migration from legacy systems. This guide distills the deep‑dive, comparison, deployment, performance, security, observability, plugin, Moltbook, and migration articles into a single, actionable checklist that IT managers, DevOps engineers, and security architects can follow with confidence.

1. Prerequisites

• Ubuntu 22.04 LTS or compatible Linux distribution with docker and kubectl installed.
• UBOS platform installed (minimum 4 CPU, 16 GB RAM, 200 GB SSD). See the UBOS platform overview for sizing guidelines.
• Domain name pointing to the server’s public IP and a valid SSL certificate (UBOS can provision Let’s Encrypt automatically).
• Access to the OpenClaw source repository (e.g., OpenClaw GitHub).
• Secrets for database, Redis, and API keys stored securely via ubos secret.
• Team members with kubectl and helm privileges.

2. Deployment Steps

1. Clone the OpenClaw repository into the UBOS workspace:

   git clone https://github.com/openclaw/openclaw.git ~/.ubos/apps/openclaw

2. Configure environment values (database credentials, Redis password, external API keys) in values.yaml or via ubos secret set.
3. Deploy with UBOS:

   ubos app deploy openclaw --values ~/.ubos/apps/openclaw/values.yaml

   UBOS translates the Helm chart into Kubernetes manifests, creates the openclaw namespace, and starts all pods.

4. Expose via HTTPS:

   ubos ingress enable openclaw --host openclaw.yourdomain.com --tls

5. Validate the deployment by accessing https://openclaw.yourdomain.com and confirming the health endpoint /healthz returns 200 OK.

3. Security Checklist

Tip: Pair OpenClaw with Telegram integration on UBOS for real‑time security alerts.

4. Performance Tuning

• Resource Requests & Limits: Allocate at least 2 CPU and 4 GB RAM for the OpenClaw API pod; adjust based on load testing.
• Database Optimization: Enable PostgreSQL connection pooling (pgBouncer) and set max_connections to 200.
• Redis Caching: Tune maxmemory-policy to allkeys-lru for efficient session caching.
• Horizontal Pod Autoscaling (HPA): Configure HPA to scale API pods between 2‑6 replicas based on CPU > 70%.
• Static Asset CDN: Serve UI assets via a CDN (e.g., Cloudflare) to reduce latency.

5. Observability Setup

Enterprise teams need end‑to‑end visibility. Follow this three‑layer approach:

5.1 Metrics

• Expose Prometheus metrics from OpenClaw (/metrics endpoint).
• Import dashboards into Grafana using the pre‑built OpenClaw Enterprise dashboard template.

5.2 Logs

• Configure Fluent Bit to forward container logs to the UBOS logging stack.
• Set log level to INFO for production; switch to DEBUG only during incident investigation.

5.3 Traces

• Enable OpenTelemetry instrumentation for the OpenClaw API.
• Send traces to Jaeger or the UBOS distributed tracing service.

For proactive alerts, integrate with ChatGPT and Telegram integration to receive AI‑summarized incident reports.

6. Plugin Configuration

OpenClaw’s extensibility hinges on plugins. The most common enterprise plugins include:

1. Ticketing System Connector – configure API endpoint, authentication token, and field mapping.
2. Knowledge‑Base Search – integrate with ElasticSearch or OpenSearch; set index name and query DSL.
3. Workflow Automation Studio – create triggers that invoke OpenClaw actions (e.g., auto‑assign tickets).
4. Moltbook Chatbot – enable the Moltbook UI for end‑user chat; configure language model (OpenAI, Anthropic).

All plugins are defined in plugins.yaml and loaded at pod startup. After any change, run ubos restart openclaw to apply.

7. Migration Guidance

When moving from a legacy issue tracker or a self‑hosted OpenClaw instance, follow this phased approach:

7.1 Data Export

• Export tickets, users, and attachments to JSON using the legacy system’s API.
• Validate schema compatibility with the target OpenClaw version.

7.2 Staging Import

• Spin up a staging OpenClaw environment on UBOS.
• Run openclaw import --file export.json and verify data integrity.

7.3 Cut‑over

• Redirect DNS to the new UBOS‑hosted domain during a maintenance window.
• Monitor the health endpoint and observability dashboards for 48 hours.

Rollback is as simple as restoring the previous DNS record and re‑enabling the legacy instance.

Conclusion

By following this checklist, enterprises can transform a complex, multi‑service AI assistant into a secure, performant, and observable service that scales with business demand. The UBOS platform abstracts away the underlying Kubernetes intricacies, letting teams focus on value‑adding integrations—whether that’s connecting OpenClaw to internal CRMs, enriching tickets with AI‑generated insights, or extending functionality through custom plugins. Keep the checklist handy, revisit it after major upgrades, and let OpenClaw become the reliable AI backbone of your organization.