Find the devices that may be slowing teams down
Review CPU and memory trends across managed devices. Help IT identify machines worth investigating, then make better-informed support and refresh decisions.
See which devices repeatedly approach their resource limits and which have headroom. Check those trends alongside employee reports and the applications they use.
Built around machine utilization & capacity
CPU and memory usage over time per machine, not just a spec sheet snapshot — so you can spot sustained pressure, not one bad afternoon.
Everything in one place
Your hardware spec doesn't tell you how it's being used
A machine with 32 GB of RAM and a 12-core CPU might be constantly capacity-constrained, perfectly sized, or massively over-provisioned — the spec sheet can't tell you which. Only usage over time can.
Running hot day after day — a real candidate for a capacity upgrade.
Utilization sits right where it should — no action needed.
Sitting mostly idle — a candidate to redeploy instead of buying new hardware.
Momentum gives IT the usage evidence to tell the difference.
See CPU and memory trends over days and weeks to separate temporary spikes from sustained capacity problems.
How machine utilization & capacity actually works
Not marketing abstractions — the real screens, rules, and signals that make up this part of the platform.
Investigate resource pressure with real data
A developer reports slow local builds. IT reviews that device's CPU and memory history, checks the workload, and decides whether troubleshooting or a hardware change is appropriate. Without the trend, you're guessing; with it, you know whether the slowness is temporary spike or sustained pressure.
See trends over time, not snapshots
Every managed machine reports CPU and memory consumption continuously, so you can spot sustained pressure over days and weeks — not just one bad afternoon that looks like a reason to refresh.
Find patterns across the whole fleet
The whole fleet rolls up into utilization bands — high, healthy, and underutilized — so hardware conversations start from the actual distribution, not whoever complained loudest.
Trace resource spikes back to the software
The same per-machine record that tracks CPU and memory also tracks what's installed and what's out of date, so a spike in resource consumption can be traced back to the workload driving it — giving IT context for the decision.
From install to insight in four steps
Where teams put it to work
Machine utilization & capacity, answered
Does this only look at CPU?+
No. Momentum tracks CPU and memory consumption per machine, plus software and update inventory, so utilization and right-sizing decisions rest on more than one number.
How does Momentum decide a machine is underused?+
By its actual CPU and memory consumption over time against the rest of the fleet — a device consistently well below the pack is a candidate for redeployment, not a guess.
Can I see historical trends, not just today?+
Yes. Resource Usage tracks CPU and memory over time per device, so a spike or a steady climb is visible before it becomes a complaint.
Does this replace an asset management tool?+
It covers utilization, right-sizing, and software/update inventory in the same console as the rest of the Workforce Dashboard — enough for many teams to retire a separate point tool, though dedicated asset management with procurement or warranty tracking is a different job.