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.
Data center infrastructure questions, answered.
Common questions from data center operations, critical facilities, and reliability teams evaluating Rivolq.
How does Rivolq help prevent unplanned data center downtime?
Rivolq maps the full power and cooling dependency chain and scores each component by failure risk, so degradation in a CRAC unit, UPS bank, or distribution path surfaces before it cascades. Instead of reacting to the first thermal alert, your team sees which dependencies are closest to the edge and acts during a planned window.
Does Rivolq model redundancy like N+1 and 2N as load grows?
Yes. Redundancy erodes quietly as racks fill and power draw climbs. Rivolq recalculates effective redundancy margins against current load rather than the day-one design spec, so a UPS runtime or N+1 margin that no longer holds becomes visible before a failover proves it the hard way.
Which data center systems does Rivolq score for failure risk?
Rivolq scores the critical-path infrastructure behind uptime: electrical distribution, UPS banks, generators and fuel systems, automatic transfer switches, and the cooling chain including CRAC/CRAH units and chilled-water loops. Scoring blends manufacturer lifecycle data with actual runtime, load, and maintenance history.
Does Rivolq replace our DCIM or BMS?
No — it coexists with them. DCIM and BMS tell you the current state of your infrastructure; Rivolq adds the risk, dependency, and capital-planning layer on top, importing asset and maintenance data so you can prioritize and defend infrastructure investment without ripping out the tools you run today.
Can Rivolq support SLA, SOC 2, and SSAE 18 audit requirements?
Every inspection, maintenance action, and risk score in Rivolq is timestamped and traceable, so the documentation behind customer SLAs and SOC 2 / SSAE 18 reviews is assembled continuously rather than scrambled together before each audit.
Reading for data center operations teams.
Articles on quantifying the cost of deferred maintenance, keeping the backlog under control, and what a scoped first-facility pilot should deliver.
Go deeper in the Help Center
How to track downtime against uptime targets, trace power and cooling dependencies, and tune alerts so the signal stays clean.
Downtime Tracking
Record when assets are not working, categorized correctly, to power reliability metrics like MTBF, uptime percent, and availability cost.
IntelligenceHow the Dependency Graph Works
The dependency graph shows how assets and systems relate so you can judge whether a failure is isolated or has downstream impact.
TroubleshootingHow Alerts Work and How to Tune Them
Alerts should prompt real action; investigate the supporting record, tune noisy signals at the source, and escalate genuine risks.
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.
