Data Centers
Optimize performance, cost, and energy at scale.
Manage infrastructure, workloads, and energy usage in real time.
High availability with optimized cost and efficiency
Data centers generate massive operational data across systems. MonkDB makes that data actionable in real time.
What MonkDB unlocks for data centers
Real-time monitoring of infrastructure and workloads
Live telemetry from racks, networks, and workloads.
Dynamic resource allocation
Workload placement that follows demand and price.
Energy and cooling optimization
Setpoint and airflow tuning matched to live thermal state.
Predictive failure detection
Hardware and network anomalies flagged before they take services down.
Three steps, one continuous loop
Power, thermal, network, capacity
Every rack, PDU, CRAC, and switch reports into one engine.
Forecast load and risk
Models predict hot spots, capacity exhaustion, and SLA risk before they happen.
Workload + cooling + power
Workload placement, cooling setpoints, and power budgets adjust continuously.
PUE dropped from 1.62 to 1.41 across our DC portfolio. We avoided three CapEx capacity expansions by reclaiming stranded compute.
- 1.41PUE post-rollout
- 3CapEx expansions avoided
- 40 MWCapacity reclaimed
Run a data center that tunes itself.
MonkDB को अपने डेटा बुनियादी ढांचे को एकीकृत करने के लिए कैसे देख सकते हैं, सार्वभौमिकता, प्रदर्शन या पैमाने पर शून्य समझौता के साथ।
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