Flowise on Ubuntu 24.04 LTS
by Derek Coleman & Associates Corporation
Flowise low-code LLM app builder on hardened Ubuntu 24.04 LTS
Flowise on Ubuntu 24.04 LTS
A production-ready Flowise low-code builder for LLM apps and AI agents on Ubuntu 24.04 LTS, built and hardened for the Azure Marketplace. Flowise is installed from the sha256-verified upstream release on Node.js, enabled as a systemd service, and serving its web UI on first boot.
Who this is for: AI engineers, developers, and product teams who want a self-hosted drag-and-drop builder for LLM applications on Azure without assembling the runtime and service by hand.
Target industries: ISVs, AI startups, enterprises building internal AI tools, and any team prototyping or running LLM applications in their own Azure subscription.
Value proposition: Standing up a secure, patch-current Flowise server on Azure means installing a Node.js runtime, deploying the application, and hardening the host. This image does that for you:
- Flowise on Node.js — the upstream release, sha256-verified against the release artifact and running as a managed systemd service on its web port
- No claimable open instance — application credentials are generated per-VM at first boot, never baked into the image
- Monthly patched & hardened — rebuilt each month from the upstream base with the latest OS security updates; hardened to Microsoft's Azure Marketplace certification standards before any version is published
- Ready to run — the service is installed, enabled, and configured to start on boot, so the VM is productive minutes after deployment instead of after a manual install
- Audit trail per release — build and certification evidence retained for every published image version, available for compliance audits and change-management documentation
Plans available:
- Flowise on Ubuntu 24.04 LTS — Gen2 — Trusted Launch-capable Gen2 VM image; free image (standard Azure compute and storage rates apply). Flowise is open-source software under the Apache-2.0 license.
Supported software and integrations: Azure OpenAI, Azure AI services, vector databases; Azure Monitor, Azure Virtual Network, Azure Application Gateway.
Recommended deployment: Standard_D4as_v5 or larger; Premium SSD for the application volume. Front the web UI with Azure Application Gateway or a reverse proxy for TLS; connect Flowise to your model endpoints.
Support: support@dcassociatesgroup.com · www.dcassociatesgroup.com/support — business hours, 24-hour initial response SLA.