“N-able RMM Storage Status”
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N-able RMM Storage Status

Analysis and reporting on storage status - devices running low for managed service providers.

Built from: N-able Cove
How this report was made
1
Autotask PSA
Multiple data sources combined
2
Proxuma Power BI
Pre-built MSP semantic model, 50+ measures
3
AI via MCP
Claude or ChatGPT writes DAX queries, executes them, formats output
4
This Report
KPIs, breakdowns, trends, recommendations
Ready in < 15 min

N-able RMM Storage Status

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

Time saved
Device audits from RMM consoles require clicking through hundreds of screens. This report consolidates everything.
Fleet visibility
Ghost devices, storage issues, and uptime problems across the entire fleet in one view.
Lifecycle planning
Data for hardware refresh cycles, warranty tracking, and capacity planning.
Report categoryDevice & Endpoint Management
Data sourceAutotask PSA · Datto RMM · Datto Backup · Microsoft 365 · SmileBack · HubSpot · IT Glue
RefreshReal-time via Power BI
Generation timeUnder 15 minutes
AI requiredClaude, ChatGPT or Copilot
AudienceNOC teams, asset managers
Where to find this in Proxuma
Power BI › Devices › N-able RMM Storage Status
What you can measure in this report
Summary Metrics
Critical (<5%) by Client
Storage Status Trend (3 Quarters)
Bottom 5 Clients by Performance
Device Fleet Growth Trend
Devices With Stale or Missing Agents
Key Findings
Strategic Recommendations
Frequently Asked Questions
Critical (<5%)
Warning (<15%)
Servers Critical
AI-Generated Power BI Report
N-able RMM Storage Status

Analysis and reporting on storage status - devices running low for managed service providers.

Demo Report: This report uses synthetic data to demonstrate AI-generated insights from Proxuma Power BI. The structure, DAX queries, and analysis reflect real MSP data patterns.
1.0 Summary Metrics
Critical (<5%)
124
Urgent action needed
Warning (<15%)
387
Monitor closely
Servers Critical
18
High business impact
Avg Free Space
34.2%
Fleet average
View DAX Query - Summary Metrics
EVALUATE
ROW(
    "Critical (<5%)", COUNTROWS(BI_Nable_Rmm_Devices),
    "Warning (<15%)", CALCULATE(COUNTROWS(BI_Nable_Rmm_Devices), BI_Nable_Rmm_Devices[status] = "Active")
)
What are these DAX queries? DAX (Data Analysis Expressions) is the formula language used by Power BI to query data. Each “View DAX Query” section shows the exact query the AI wrote and executed. You can copy any query and run it in Power BI Desktop against your own dataset.
2.0 Critical (<5%) by Client

Breakdown of devices running low across managed clients.

Keystone IT
142
Meridian Tech
110
Atlas MSP Group
88
Compass IT Services
68
Nordic Systems
51
Granite IT Solutions
36
ClientCritical (<5%)Warning (<15%)Servers CriticalAvg Free SpaceStatus
Keystone IT1243871834.2%Good
Meridian Tech963011426.7%Good
Atlas MSP Group762391121.2%Warning
Compass IT Services59185816.4%Warning
Nordic Systems44139612.3%Critical
Granite IT Solutions3210048.9%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.

View DAX Query - Critical (<5%) by Client
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
3.0 Storage Status Trend (3 Quarters)

How storage status: devices running low has evolved over the past three quarters.

Q1 2026
84
Q4 2025
108
Q3 2025
142
TypeCount
Server158
(null)56
Workstation10

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.

View DAX Query - Storage Status Trend (3 Quarters)
EVALUATE SUMMARIZECOLUMNS('BI_NAble_Device_Statistic'[device_type], "Count", COUNTROWS('BI_NAble_Device_Statistic'))
4.0 Bottom 5 Clients by Performance

Clients with the worst metrics requiring immediate attention.

ClientDevicesIssue RateOffline %Stale AgentsRisk
Atlas MSP Group24528.6%12.4%18
Keystone IT16822.1%8.9%12
Nordic Systems14218.4%6.2%8
Compass IT Services19815.2%5.1%6
Evergreen MSP11214.8%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.

5.0 Device Fleet Growth Trend

Monthly device count changes across the portfolio.

MonthTotal DevicesAddedRemovedNet ChangeGrowth
Nov 20251,8424812+36+2.0%
Dec 20251,8683812+26+1.4%
Jan 20261,9125612+44+2.4%
Feb 20261,948426+36+1.9%
Mar 20261,986468+38+2.0%
Apr 20262,0245214+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.

6.0 Devices With Stale or Missing Agents

Devices where the RMM agent is outdated or not reporting.

ClientDeviceAgent VersionLast Check-inDays SilentAction
Atlas MSP GroupSRV-APP-02v12.1.42026-01-1876
Atlas MSP GroupWS-ACC-14v12.3.02026-02-2241
Keystone ITSRV-FILE-01v12.0.22026-03-0134
Nordic SystemsWS-DEV-06v12.4.12026-03-287
Compass IT ServicesSRV-PRINT-01v12.2.02026-03-1520

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.

7.0
Key Findings
!

Performance Gap Requires Attention

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.

!

Declining Trend in Moderate Risk Group

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.

Top Performers Remain Consistent

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.

8.0
Strategic Recommendations

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.

9.0
Frequently Asked Questions
What makes Storage Status: Devices Running Low a critical metric for MSPs?

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.

How do we set realistic targets for this report?

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.

What actions should we take when Critical (<5%) falls below target?

Investigate the root cause within 48 hours. Common causes include configuration drift, capacity issues, or process gaps. Document findings and create a remediation plan.

How does this metric connect to overall service quality?

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.

How many devices can one technician manage?

Industry benchmarks suggest 150-300 devices per technician depending on client complexity. Above 300 devices, response times and proactive maintenance quality typically decline.

What is the recommended agent update cadence?

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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