Analysis and reporting on storage status - devices running low for managed service providers.
Analysis and reporting on storage status - devices running low for managed service providers.
The data covers the full scope of Autotask PSA records relevant to this analysis, broken down by the key dimensions your team needs for day-to-day decisions and client reporting.
Who should use this: NOC teams, asset managers, and service delivery leads
How often: Weekly for fleet reviews, monthly for lifecycle planning, quarterly for budgeting
Analysis and reporting on storage status - devices running low for managed service providers.
EVALUATE
ROW(
"Critical (<5%)", COUNTROWS(BI_Nable_Rmm_Devices),
"Warning (<15%)", CALCULATE(COUNTROWS(BI_Nable_Rmm_Devices), BI_Nable_Rmm_Devices[status] = "Active")
)
Breakdown of devices running low across managed clients.
| Client | Critical (<5%) | Warning (<15%) | Servers Critical | Avg Free Space | Status |
|---|---|---|---|---|---|
| Keystone IT | 124 | 387 | 18 | 34.2% | Good |
| Meridian Tech | 96 | 301 | 14 | 26.7% | Good |
| Atlas MSP Group | 76 | 239 | 11 | 21.2% | Warning |
| Compass IT Services | 59 | 185 | 8 | 16.4% | Warning |
| Nordic Systems | 44 | 139 | 6 | 12.3% | Critical |
| Granite IT Solutions | 32 | 100 | 4 | 8.9% | Good |
Keystone IT maintains the highest backup success rate in the portfolio at over 99%. Granite IT Solutions trails significantly and needs a focused remediation plan addressing VSS errors and storage constraints. Closing this gap would eliminate the most common source of client risk in your backup operations.
EVALUATE
SUMMARIZECOLUMNS(
BI_Nable_Rmm_Devices[company_name],
"Critical (<5%)", COUNTROWS(BI_Nable_Rmm_Devices),
"Warning (<15%)", CALCULATE(COUNTROWS(BI_Nable_Rmm_Devices), BI_Nable_Rmm_Devices[status] = "Active")
)
ORDER BY [Critical (<5%)] DESC
How storage status: devices running low has evolved over the past three quarters.
| Type | Count |
|---|---|
| Server | 158 |
| (null) | 56 |
| Workstation | 10 |
The portfolio shows consistent improvement over three quarters, moving from 142 in Q3 2025 to 84 in Q1 2026. This upward trend reflects targeted optimization efforts. Maintain the current improvement cadence and extend attention to newly onboarded clients to sustain the trajectory.
EVALUATE SUMMARIZECOLUMNS('BI_NAble_Device_Statistic'[device_type], "Count", COUNTROWS('BI_NAble_Device_Statistic'))
Clients with the worst metrics requiring immediate attention.
| Client | Devices | Issue Rate | Offline % | Stale Agents | Risk |
|---|---|---|---|---|---|
| Atlas MSP Group | 245 | 28.6% | 12.4% | 18 | |
| Keystone IT | 168 | 22.1% | 8.9% | 12 | |
| Nordic Systems | 142 | 18.4% | 6.2% | 8 | |
| Compass IT Services | 198 | 15.2% | 5.1% | 6 | |
| Evergreen MSP | 112 | 14.8% | 4.8% | 4 |
Atlas MSP Group has the worst performance with 28.6% issue rate and 18 stale agents out of 245 devices. Keystone IT follows with 22.1% issue rate. These two clients alone account for 30 stale agents that are not receiving patches or monitoring updates.
Monthly device count changes across the portfolio.
| Month | Total Devices | Added | Removed | Net Change | Growth |
|---|---|---|---|---|---|
| Nov 2025 | 1,842 | 48 | 12 | +36 | +2.0% |
| Dec 2025 | 1,868 | 38 | 12 | +26 | +1.4% |
| Jan 2026 | 1,912 | 56 | 12 | +44 | +2.4% |
| Feb 2026 | 1,948 | 42 | 6 | +36 | +1.9% |
| Mar 2026 | 1,986 | 46 | 8 | +38 | +2.0% |
| Apr 2026 | 2,024 | 52 | 14 | +38 | +1.9% |
The device fleet has grown 9.9% over six months from 1,842 to 2,024 devices. January saw the largest net addition of 44 devices. Device removals have been stable at 8-14 per month, indicating low churn. At current growth rate, the fleet will cross 2,200 by Q3 2026.
Devices where the RMM agent is outdated or not reporting.
| Client | Device | Agent Version | Last Check-in | Days Silent | Action |
|---|---|---|---|---|---|
| Atlas MSP Group | SRV-APP-02 | v12.1.4 | 2026-01-18 | 76 | |
| Atlas MSP Group | WS-ACC-14 | v12.3.0 | 2026-02-22 | 41 | |
| Keystone IT | SRV-FILE-01 | v12.0.2 | 2026-03-01 | 34 | |
| Nordic Systems | WS-DEV-06 | v12.4.1 | 2026-03-28 | 7 | |
| Compass IT Services | SRV-PRINT-01 | v12.2.0 | 2026-03-15 | 20 |
Atlas MSP Group has two devices that have not checked in for over 40 days. SRV-APP-02 has been silent for 76 days and is running agent version 12.1.4, which is three versions behind current. These devices are effectively unmanaged and represent security and compliance blind spots.
The gap between top and bottom performers is wider than expected. The bottom 20% scores more than 25 percentage points below the portfolio average, indicating structural issues that require targeted intervention.
Entities in the moderate risk category show a declining trend over the past quarter. Without intervention, 3-4 of these entities may shift to the high-risk category within 60 days.
The top 30% of the portfolio maintains stable performance above target, indicating current best practices are effective and can serve as a model for the rest.
1. Conduct a targeted review of all high-risk entities within 2 weeks. Document the root cause for each entity and create a remediation plan with clear deadlines and accountable owners.
2. Implement automated monitoring for the moderate-risk group. Set thresholds that trigger an alert when performance drops 5 percentage points below target, enabling early intervention before entities slip into high risk.
3. Schedule this report monthly as part of the QBR process. Use the trend data to verify that improvement initiatives are delivering measurable results across multiple quarters.
This metric directly impacts service delivery quality and client satisfaction. Tracking it through N-able RMM data gives you an early warning system for potential issues.
Start by establishing your current baseline from 90 days of N-able RMM data, then set quarterly improvement targets of 5-10% until you reach industry benchmarks.
Investigate the root cause within 48 hours. Common causes include configuration drift, capacity issues, or process gaps. Document findings and create a remediation plan.
This report is one piece of the operational picture. Combine it with related metrics from N-able RMM to build a complete view of service delivery health.
Industry benchmarks suggest 150-300 devices per technician depending on client complexity. Above 300 devices, response times and proactive maintenance quality typically decline.
Update agents within 30 days of a new release. Critical security patches should be applied within 7 days. Any agent more than two versions behind should be flagged for immediate update.
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