Industry · 06
Data Centers
Optimize performance, cost, and energy at scale.
Manage infrastructure, workloads, and energy usage in real time.
PUE 1.41
96 RACKS
4.2 MW
<1 s
Power & thermal telemetry
24/7
Continuous capacity tracking
PUE
Live efficiency monitoring
API + SNMP
Native infra integration
Why this matters
High availability with optimized cost and efficiency
Data centers generate massive operational data across systems. MonkDB makes that data actionable in real time.
Massive operational data, one continuous engine
What you get
What MonkDB unlocks for data centers
0101 / 04
Real-time monitoring of infrastructure and workloads
Live telemetry from racks, networks, and workloads.
0202 / 04
Dynamic resource allocation
Workload placement that follows demand and price.
0303 / 04
Energy and cooling optimization
Setpoint and airflow tuning matched to live thermal state.
0404 / 04
Predictive failure detection
Hardware and network anomalies flagged before they take services down.
How it works
Three steps, one continuous loop
OBSERVE
1Power, thermal, network, capacity
Every rack, PDU, CRAC, and switch reports into one engine.
PREDICT
2Forecast load and risk
Models predict hot spots, capacity exhaustion, and SLA risk before they happen.
OPTIMIZE
3Workload + 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.
Outcome in numbers
- 1.41PUE post-rollout
- 3CapEx expansions avoided
- 40 MWCapacity reclaimed
Run a data center that tunes itself.
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