Secure AI Operations Control Plane
A cloud-hosted control plane for identity, secrets, observability, monitoring, remote access, and operational visibility across the Zentari environment.
Challenge
AI systems spread operational responsibilities across compute, secrets, identity, monitoring, remote access, backups, and multiple deployment environments.
Solution
Zentari built a dedicated operations layer that centralizes those responsibilities while keeping administrative services restricted rather than broadly internet-exposed.
Outcome
A reusable operational pattern for managing distributed AI infrastructure with centralized visibility and stronger separation of concerns.
Architecture
How the system fits together
Access
Operations
Systems
Public conceptual view. Sensitive implementation details, addresses, credentials, and private topology are intentionally omitted.
Case study
Operational services with deliberate boundaries
Identity, secrets, telemetry, uptime, system monitoring, and remote support are separate services with distinct responsibilities.
- Identity and access
- Secrets management
- Logs and observability
- Host monitoring
- Uptime monitoring
- Tailnet-restricted remote access
Resilience
Operations include recovery
Off-host backup synchronization and restore-oriented procedures are part of the design so the control plane is not merely a collection of dashboards.
Under the hood
Keep exploring
Related work
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A centralized engineering workspace for building, testing, and operating AI-assisted software across multiple repositories and environments.
Secure AI Reference Architecture
A reusable architecture model for combining AI services, application workloads, networking, identity, secrets, observability, and operational controls.
Private Virtualization Infrastructure
Self-hosted virtualization and service infrastructure supporting Zentari development and AI systems.