Managed OpenClaw hosting in Azure for teams that need a secure production deployment

Managed OpenClaw in Azure

CraftingData deploys, hosts, and operates OpenClaw in Azure for organizations that want the platform running in production without taking on the install, upgrade, security, and monitoring burden themselves. When needed, we also deliver the surrounding AI, analytics, reporting, and workflow integration work that turns the platform into a usable service. Telegram is supported today, and additional chat interfaces are being vetted.

  • Managed OpenClaw deployment and hosting in Azure
  • Hands-free install, upgrades, security hardening, and audit-ready operations
  • Optional integration, reporting, and workflow delivery around the hosted platform
  • Telegram is supported; additional chat interfaces are being vetted
Homepage illustration showing the managed OpenClaw Azure topology with per-slug isolation, secured runtime, persistent storage, observability, and Azure AI Foundry
Homepage topology illustration for the managed OpenClaw Azure deployment model, optimized here as SVG.

What we sell

A managed OpenClaw service in Azure, with the surrounding work needed to make it useful in production

The commercial offer is straightforward: we stand up and run OpenClaw in Azure using a repeatable operating pattern, then we help clients connect that platform to the workflows, reporting, and business automation they actually care about.

Typical buyer situation

Most conversations start when a team wants OpenClaw running in production, but does not want to invent its own hosting model, own the upgrade path, or carry the risk of ad hoc operations.

Managed platform

Buy the hosted OpenClaw platform, not a DIY deployment project

We provide the Azure deployment pattern, installation flow, and support model so clients can start with a working platform rather than a one-off build effort.

Operations

Keep the environment current, supportable, and reviewable

We handle upgrades, security controls, monitoring, and audit posture so the environment does not drift into an unsupported or opaque state.

Applied AI

Add integration, reporting, and workflow delivery when needed

Once the hosted platform is in place, we can extend it with the surrounding delivery work that makes the deployment useful to the business instead of leaving it as an isolated system.

Azure deployment view

The hosted OpenClaw pattern is isolated per slug and wired for security, persistence, and observability

Each customer environment gets its own Azure resource group, Container Apps runtime, Key Vault, storage, and telemetry path. Azure AI Foundry remains a separate optional Azure service so data privacy and residency requirements remain clear.

View the full architecture
Azure Resource Groups architecture icon

claw-<slug>

One resource group per environment.

Azure Container Apps environments architecture icon

Container Apps

Managed environment plus public gateway app.

Azure Key Vaults architecture icon

Key Vault

Secrets and access are handled centrally in RBAC mode.

Azure Storage Accounts architecture icon

Azure Files

Pairing state and config survive revisions.

Application Insights architecture icon

Telemetry

Logs and traces flow to Log Analytics and App Insights.

Azure AI Foundry or Azure OpenAI architecture icon

Azure AI Foundry

Optional Azure model service with privacy and residency kept explicit.

How we do it

The offer works because the operating model is standardized

The homepage view is simple: you are buying a managed OpenClaw service in Azure. Underneath that, we use a repeatable deployment pattern so install, security, monitoring, upgrades, and future changes can be handled predictably.

Repeatable delivery

Standardized deployment instead of custom hosting improvisation

We use a known Azure pattern so onboarding a client starts from a supportable baseline instead of from a bespoke infrastructure experiment.

Managed operations

Ongoing ownership after go-live

We stay involved after deployment so upgrades, security review, operational visibility, and future changes are someone’s active responsibility.

Representative delivery experience

See a representative example of the delivery discipline behind the offer

Review a representative delivery example showing the kind of production-minded automation, reporting, and systems thinking that informs how we build supportable platforms.