The IT industry is currently buzzing with the promise of "agentic AI"—the next evolution beyond generative AI, where bots don't just answer questions but take autonomous action. Recently, Auvik announced its "Aurora" platform, betting heavily that this technology will fill the massive networking skills gap by moving from simple alerting to automated remediation.
It’s a compelling narrative. We are facing a shrinking pool of senior engineers and a tidal wave of alerts from complex, multi-vendor networks. The idea that an AI agent could spin up a cloud instance, reroute BGP, or quarantine a compromised endpoint without human intervention sounds like the silver bullet MSPs have been praying for.
But let’s ground ourselves in the reality of the NOC. Before we can hand over the keys to autonomous AI agents, most MSPs are still fighting a much more fundamental battle: fragmentation.
The Problem: Tool Sprawl is Killing Your Response Time
The article highlights a real pain: dealing with a growing volume of alerts and fewer experts to handle them. However, the root cause isn't just a lack of AI—it’s that the tools we use today actively work against us.
Consider the typical workflow for a mid-sized MSP managing 50 clients:
- The Network Monitor (e.g., Auvik, SolarWinds) lights up because a VPN tunnel to Client A is down.
- The RMM (e.g., ConnectWise, NinjaOne) shows the affected endpoint is online but the application service is stopped.
- The Helpdesk (e.g., Zendesk, Autotask) has three tickets from users complaining about slowness, but they aren't linked to the network alert.
To resolve one outage, a technician needs three tabs open, three separate logins, and three different contexts to correlate the data. By the time they’ve verified the issue in the network tool and switched to the RMM to restart the service, the SLA clock has ticked past the breach point.
This isn't a skills gap; it’s an efficiency gap. Your senior engineers are wasted on context switching, and your junior techs are paralyzed because they don't have the "single pane of glass" view required to see the full picture. You don't need an AI agent to fix the problem if you can't even get your human agents to see the problem in one place.
How AlertMonitor Solves This: Unification First, Automation Second
At AlertMonitor, we believe that "agentic" capabilities—automation and rapid remediation—are useless if they are siloed. We built our platform specifically for the MSP model to eliminate the friction that prevents fast action.
Instead of buying a standalone network tool and hoping it talks to your RMM, AlertMonitor unifies Infrastructure Monitoring, RMM, Helpdesk, and Patch Management into a single, multi-tenant platform.
Here is the difference in workflow:
- The Old Way: Alert triggers in Network Tool -> Email sent to NOC -> Tech logs into RMM -> Searches for endpoint -> Remediates -> Logs into Helpdesk -> Updates ticket.
- The AlertMonitor Way: Alert triggers for Client A -> Integrated Ticket Auto-Generated (populated with device details) -> One-Click Remediation executed directly from the alert context -> Ticket auto-resolved.
We address the "skills gap" by making every technician more efficient. When your monitoring data and your remediation tools (RMM) live in the same database, you don't need a CCIE to figure out why a switch is down. The topology map and the remote control terminal are right next to each other.
Practical Steps: Building Your Own "Agentic" Workflows Today
You don't have to wait for Aurora or future AI rollouts to start automating remediation. You can close the skills gap today by unifying your alerting and script execution.
In AlertMonitor, we encourage MSPs to move from "Passive Monitoring" (watching things break) to "Active Remediation" (fixing things before users notice). Start with low-risk, high-volume tasks.
1. Automate Service Recovery on Windows Endpoints
Instead of waking up a client to tell them the Print Spooler is stopped, use AlertMonitor’s integrated scripting engine to restart it automatically. Here is a PowerShell script you can deploy as a "Self-Healing" policy:
# Check if the Print Spooler service is running
$serviceName = "Spooler"
$service = Get-Service -Name $serviceName -ErrorAction SilentlyContinue
if ($service.Status -ne 'Running') {
Write-Host "$serviceName is stopped. Attempting remediation..."
try {
Restart-Service -Name $serviceName -Force -ErrorAction Stop
Write-Host "Success: $serviceName restarted."
# Log event to AlertMonitor for audit trail
# Write-AMEvent -Message "Auto-remediated $serviceName on $env:COMPUTERNAME"
}
catch {
Write-Error "Failed to restart $serviceName. Escalating to Tier 2."
# Trigger alert escalation logic here
}
}
else {
Write-Host "$serviceName is running normally. No action required."
}
2. Proactive Disk Space Cleanup for Linux Servers
Network storage filling up is a classic outage cause. Use this Bash snippet within AlertMonitor to clear old logs before the disk hits 100% and takes the server offline:
#!/bin/bash
# Clear nginx logs older than 7 days if disk usage is high
THRESHOLD=80
CURRENT_USAGE=$(df / | tail -1 | awk '{print $5}' | sed 's/%//')
if [ "$CURRENT_USAGE" -gt "$THRESHOLD" ]; then
echo "Disk usage is ${CURRENT_USAGE}%. Cleaning old logs..."
find /var/log/nginx -name "*.gz" -mtime +7 -delete
find /var/log/nginx -name "*.log" -mtime +7 -delete
echo "Cleanup complete."
else
echo "Disk usage is ${CURRENT_USAGE}%. within limits."
fi
Conclusion
Agentic AI is coming, and it will eventually change how we manage networks. But until then, the "skills gap" is best filled by better tools, not just smarter ones. By consolidating your RMM, Monitoring, and Helpdesk into AlertMonitor, you remove the operational friction that slows your team down.
Stop treating the symptoms with more alerts. Treat the root cause by unifying your operations.
Related Resources
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