Solutions/Data centers
Data center operations

Make one operational decision across facilities and compute.

Cooling, power, server health, workload placement and maintenance rarely share a system. Kubling gives them a working model without first copying them into a central platform.

operational questionlive + modeled

Can we reduce load on rack 07 without breaking service redundancy?

useful answer

Find the workloads running on affected hardware, preserve shared power and cooling constraints, exclude destinations under maintenance, then send changes only to the systems that own them.

live state
relationships
valid action
The systems involved

The decision crosses boundaries. Ownership does not have to.

Each source keeps its connection details and native behavior. Kubling gives the engine a model it can plan across.

Facility systems

Cooling zones, alarms and available capacity

BMS API or source-specific provider

Redfish / BMC

Server inventory, sensors and hardware health

API integration or custom provider

Kubernetes

Current workload placement and supported mutations

Official external provider

CMDB and maintenance

Ownership, dependencies and active work windows

OpenAPI provider or database source
The operational model

Give raw state enough structure to support a decision.

The model names the entities and relationships that matter in this domain. Agents and applications can use that context without inventing it again for every request.

workloadruns_onnode
nodeinstalled_inrack
rackcooled_bycooling_loop
rackpowered_bypower_domain
assetaffected_bymaintenance_window
reasoning boundarymodel + live state
01

Locate the impact

Resolve the live warning to racks, nodes, workloads and service dependencies.

02

Test the alternatives

Remove targets that are full, under maintenance or share the same failure domain.

03

Act through the owner

Keep the facility system, Kubernetes and each API authoritative for its own changes.

Deployment topology

Start at the operational boundary. Connect upward only when it helps.

System01

System or facility view

Close to the source

Connect providers to a bounded set of systems at a site or operational domain.

Domain02

Data center view

Aggregate local instances

Join facilities, compute, networks and maintenance without replacing their local models.

Cross-domain03

Fleet view, when needed

Connect sites selectively

Add a wider operational view only for decisions that truly cross data centers.

System, domain and cross-domain describe roles in a topology, not products you must deploy as a fixed stack. A Kubling instance can use local providers, federate other Kubling instances, or do both.

Available now

Build from current capabilities.

Kubling does not ship a universal data-center model. The value is that your asset relationships and operating rules sit above live, source-owned state.

Kubernetes provider

Discovers one cluster per provider instance and supports the mutations exposed by each resource.

OpenAPI provider

Turns API operations into relational entities. Write mappings remain explicit and auditable.

Instance federation

A Kubling instance can be a source for another one, so a site can stay autonomous and still join a larger topology.

Start with proof

Prove it with one source. Grow without changing the execution model.

Query and mutate through a local provider, then replace the source when you are ready. The engine still plans against the same schema and capability contract.