AI-powered data center maintenance

    From hardware signals to self-healing business services.

    Sensaka connects DCOS, iDCOS, and SmartBSM into one intelligent operations platform: physical infrastructure truth, software operations control, and business service intelligence in a single AI-assisted loop.

    Out-of-band telemetry gridLive AI correlation
    DCOS
    Power, cooling, hardware, rack space
    SmartBSM
    Business impact and root cause
    iDCOS
    Ticket, workflow, automation
    Coverage Model

    Six-layer coverage model.

    Select a layer to see how Sensaka moves from facility telemetry to AI-assisted business service maintenance.

    DCOS

    Physical facility and environment.

    DCOS monitors the environmental and energy conditions that support all IT systems, detecting overheating, power risk, cooling issues, rack capacity pressure, and facility-level events before business systems feel the impact.

    UPSPrecision ACPDUTemperatureHumiditySmokeWater leakageFire protectionAccess controlRack spaceEnergy
    Maintenance Loop

    Maintenance becomes a closed loop.

    Signals do not stop at dashboards. Sensaka turns infrastructure facts into service impact, workflow, remediation, and verified recovery.

    01 / Detect

    DCOS sees the physical risk first.

    Out-of-band telemetry catches power, BMC, fan, temperature, link, storage, and rack-space exceptions even when the OS or production network is unavailable.

    02 / Context

    iDCOS maps the operational surface.

    CMDB relationships, ITSM records, VM topology, databases, middleware, containers, services, URLs, and automation history explain what the signal touches.

    03 / Decide

    SmartBSM finds business impact.

    Business topology links the affected dependency to OA, ERP, AI applications, and critical services, then AI-assisted RCA narrows the likely root cause.

    04 / Heal

    Action is routed, automated, and verified.

    Runbooks, scripts, workflow orchestration, service desk routing, and self-healing tasks reduce repair time while preserving governance and audit trails.

    Service-aware AI Operations

    SmartBSM turns context into action.

    SmartBSM depends on DCOS and iDCOS. It uses physical facts plus software, process, and relationship context to explain business health in language operations teams can act on.

    Intelligent Assistant
    Business health degraded.
    Payment settlement latency is elevated. ERP integration and database middleware are in the affected path.
    Likely root cause.
    Storage pool latency rose after a cooling anomaly in Rack B17, with SAN optical attenuation also increasing.
    Recommended action.
    Open incident, trigger cooling inspection, migrate impacted VM group, and run storage path validation workflow.
    Verification.
    URL monitoring, dial testing, service metrics, and business topology confirm recovery before closure.
    OA
    Healthy
    92%
    ERP
    Degraded
    61%
    AI Apps
    Stable
    84%
    VM Topology
    Mapped
    73%
    Storage
    At risk
    48%
    Workflow
    Ready
    96%
    Network
    Watching
    69%
    CMDB
    Aligned
    88%
    ITSM
    Governed
    94%

    Sensaka turns fragmented monitoring into business-oriented operations.

    DCOS delivers trusted physical infrastructure truth. iDCOS standardizes cloud, software, CMDB, ITSM, and automation control. SmartBSM connects everything to business health, AI-assisted root cause analysis, and intelligent remediation.