Why teams choose customer-managed deployment
Sensitive context and orchestration stay on infrastructure you operate. The self-hosted program is aimed at teams that need procurement, legal, and infosec alignment beyond multi-tenant SaaS alone—including air-gapped or strictly segmented environments.
Residency & boundary control — Run in-region and on networks you attest.
BYOK for LLMs — Use your own provider keys; admins configure credentials inside AI-Harness.
Release cadence you own — See new images when they ship; upgrade when your change window allows.
Customer-managed deployment — design goals
The following reflects the product and packaging direction we discuss with enterprise teams. Exact timelines and SKUs are confirmed during scoping.
Your AWS, Azure, or GCP accounts—or private data centers on physical or virtual servers—with networking and storage that match your standards.
Production Docker images (e.g. via Docker Hub or your private registry such as AWS ECR), orchestrated on Kubernetes for the deployment pattern most enterprises standardize on.
Discover new images as they are published; opt in to pull upgrades on your schedule. Hardening targets include protecting proprietary bits and operational logs inside container boundaries.
Administration
Users with the appropriate admin role in AI-Harness configure LLM and related provider credentials through the product—so API keys stay under customer control and change management, not embedded in ad-hoc config files alone.
References
Your environment is unique; we scope HA, connectivity, registry strategy, and compliance with your team during onboarding.
Ready to map self-hosted AI-Harness to your stack?
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