Solutions · data centers
Know what puts uptime at risk before it does.
Coexists with your DCIM. Does not replace it.
One CRAC failure can cascade into a thermal event in minutes. Your team knows the dependency chains in their heads. We make them visible, scoreable, and auditable, so the next outage is the one you saw coming.
What keeps data center operators up at night
Five-nines availability is only as strong as the weakest dependency in the chain. Most teams track those dependencies in their heads.
A cooling failure can reach critical thermal thresholds in under 7 minutes
When a CRAC unit drops, the neighbors absorb the load until they cannot. The window between first alert and servers throttling is shorter than most runbooks assume.
Redundancy exists on paper. It is rarely tested under real load.
N+1 or 2N degrades quietly as capacity creeps up. The last full failover test was probably two maintenance windows ago, and load has grown since.
UPS banks and generators age out of warranty with the day-one assumptions intact
Runtime numbers based on original load no longer reflect actual demand. A 15-minute UPS window may really be 9 minutes under the current draw.
Maintenance windows are nearly nonexistent for Tier III and IV facilities
Every maintenance action on the critical path needs concurrent maintainability, or a calculated risk. Both require precise dependency knowledge.
How Rivolq helps
data center teams
See the full power and cooling chain, not just individual assets
We map upstream and downstream dependencies across electrical distribution, cooling loops, and generator banks. When a component degrades, you see exactly what it puts at risk.
Know when UPS banks and CRAC units will exit their reliability window
We combine manufacturer lifecycle data with actual runtime and load to project failure curves. Not just warranty dates.
Compliance-ready documentation for SOC 2, SSAE 18, and customer SLAs
Every inspection, maintenance action, and risk score is timestamped and traceable. Audit packages stop being a scramble before the next review.
Track real redundancy margins as load grows, not the day-one design spec
Redundancy erodes quietly as racks fill up. We recalculate effective N+1 margins based on current power draw and thermal load, so you see risk before it materializes.
Make every dependency visible.
A single view of infrastructure risk, from the utility entrance to the server rack. Uptime stops being a thing you hope for.