The Register just ran a story that reads like IT comedy: heavy rain, no trains running, and an Android app that decided to “walk out in solidarity” — greeting its users with a strike message and refusing to let them close it. Users were left staring at a screen that said, essentially, “please release me, let me close.”
It's funny when it's strangers' phones. Every sysadmin, help desk lead, and MSP tech knows the corporate version of this story, and it's not funny at all: a “business-critical” third-party app on your managed endpoints hangs, ignores the X button, respawns itself after the user kills it in Task Manager, and quietly eats 4 GB of RAM until the laptop crawls. By the time the third user wanders over asking “is the system down?”, you have a dozen tickets, no idea whether it's one device or forty, and five console tabs open — none of which can actually fix the thing.
This post is about the gap between knowing something is wrong and being able to fix it. That gap is an architecture problem, not a staffing problem — and it's the reason your MTTR looks the way it does.
The Problem in Depth: You Can See the Fire but You Can't Hold the Hose
Look at the stack most IT teams are running right now:
- A monitoring tool (PRTG, Zabbix, or a SaaS equivalent) built around servers and network gear. Even when it polls workstations, it tells you “device up, CPU at 90%” — not which process, not whether it's responding, and it certainly can't terminate anything.
- A separate remote access tool (TeamViewer, AnyDesk, ConnectWise ScreenConnect). It gets you onto the device, but with zero context. You remote in to discover what you could have automated — and you do it one machine at a time.
- A standalone helpdesk (Zendesk, Freshservice, HaloPSA, ConnectWise Manage). It happily collects all 22 duplicate tickets about the same root cause and offers no link between a ticket and the device's actual state.
- A script library that lives in a senior tech's OneNote. When that tech is on holiday, the remediation knowledge walks out — in solidarity, presumably.
Why does this happen? These tools were built years apart, by different vendors, with different agents and data models. The “integration” between them is a webhook, a CSV export, or copy-paste. Per-feature pricing makes stacking cheap tools feel rational — until you count the human minutes spent switching between them.
The real-world impact is measurable:
- Triage tax. Without per-process endpoint visibility, working out scope — one user or forty? — takes 10–15 minutes of remoting into machines one by one. On a Monday morning, that's before you've fixed anything.
- Ticket inflation and lying reports. One root cause generates 20+ tickets. The helpdesk report then says “22 tickets closed, 6-minute average handle time, SLA met” while the business actually experienced a 90-minute outage of the sales team's CRM companion app. Your SLA data is fiction because the ticket system and the monitoring data have never met.
- The walk-over fix. The agent on the meeting-room laptop is stale, so a tech physically walks across the building with a USB stick. Twenty-five minutes, gone.
- Burnout by repetition. Nothing drains a tier-1 tech faster than remoting into 30 machines to run the same five commands, knowing a script engine should be doing it.
Run the scenario honestly: 8:40 Monday, the CRM companion app update loops, users can't close it, laptops hit 100% RAM. First ticket at 8:43. The tech opens the monitor — blind. Opens the RMM — can query processes on one device at a time. Opens the helpdesk — 18 more tickets have arrived. Someone finally writes a PowerShell one-liner at 9:20 and runs it machine by machine until 10:15. Ninety-five minutes for what is, technically, one Stop-Process away from solved.
How AlertMonitor Solves This
AlertMonitor runs one agent and one console for monitoring, RMM, helpdesk, and patching. Same scenario, same Monday:
- 8:41 — Endpoint monitoring fires a single aggregated application-health alert:
VendorApp.exenot responding and working set above 2 GB, on 37 devices. One alert with a device list — not 37 pings. - 8:43 — The tech opens the alert, sees the affected device group, and launches a live remote session on any endpoint from the same console. No new login, no emailed session tokens, no tab-switching between a monitoring console and a separate RMM.
- 8:44 — Runs the saved “Force-close hung VendorApp” script across the device group. Script output — instances killed, memory reclaimed, service restarted — streams back into the monitoring timeline, per device.
- 8:47 — A verification check confirms processes are running and responding. Linked tickets update automatically with the full remediation timeline: one root-cause record instead of 22 dead ends.
- Later that week — The vendor ships the patched build. Patch management pushes it to the same device group, and compliance is tracked per endpoint — so next Monday, the alert never fires.
Total elapsed time: about six minutes, one technician, complete audit trail. Because script results feed back into monitoring data, automated remediations and manual technician actions are equally visible — when the IT manager asks what happened, the answer is a link, not a forensic reconstruction from memory and chat scrollback.
That's the structural difference. In the fragmented stack, every tool holds one piece: the monitor knows, the RMM can act, the helpdesk knows people are angry, and nothing talks. In AlertMonitor, detection, remote action, and ticket closure live in one timeline — which is why the time between alert and resolution collapses from hours to minutes.
Practical Steps You Can Take Today
1. Get per-process endpoint visibility configured first. If your current monitor can't tell you which process is hung on a workstation, everything else is guesswork. In AlertMonitor, enable application monitoring on your endpoint policies and set a threshold: alert when a named business app stops responding or exceeds a working-set limit.
2. Put remediation in a script library, not in someone's memory. Save this to AlertMonitor's script library and attach it to the application-health alert as an approved remediation:
# Detect and force-close a hung application, then report results
$appName = 'VendorApp'
$procs = Get-Process -Name $appName -ErrorAction SilentlyContinue
if (-not $procs) {
Write-Output "$appName is not running - nothing to do"
exit 0
}
$hung = $procs | Where-Object { -not $_.Responding }
if ($hung) {
$memBefore = [math]::Round(($procs | Measure-Object WorkingSet64 -Sum).Sum / 1MB, 0)
$hung | Stop-Process -Force
Write-Output "Force-closed $($hung.Count) hung instance(s) of $appName; reclaimed approx. $memBefore MB"
} else {
Write-Output "$appName is running and responding normally"
}
Because this runs through AlertMonitor's script engine across a device group, output from all 37 machines lands back in the platform — you see at a glance which endpoints had hung instances and which were fine, without opening a single remote session.
3. Handle the “it respawns after reboot” class of problem. That's usually a service or scheduled task underneath the app:
# Check and cleanly restart the service that keeps respawning the app
Get-Service -Name 'VendorAppSvc' | Select-Object Name, Status, StartType
Restart-Service -Name 'VendorAppSvc' -Force
Get-Service -Name 'VendorAppSvc' | Select-Object Name, Status
If it's a scheduled task dragging it back to life, disable it remotely before pushing the vendor's fix:
Disable-ScheduledTask -TaskName 'VendorAppUpdater' -TaskPath '\Vendor\'
4. Linux endpoints get the same treatment from the same console — no second tooling stack:
# Find the memory hog, kill it, and restart the service cleanly
ps -eo pid,pmem,pcpu,comm --sort=-pmem | head -10
pkill -f vendorapp
systemctl restart vendorapp
systemctl is-active vendorapp
5. Verify the fleet, not just the machine the loudest user complained about. Before closing tickets, run a quick environment-wide check so “it's fixed on my machine” doesn't become three more tickets tomorrow:
# Sanity check: which endpoints still have the app running, and how much RAM is it holding?
Get-CimInstance Win32_Process -Filter "Name='VendorApp.exe'" |
Select-Object PSComputerName, ProcessId,
@{N='RAM_MB';E={[math]::Round($_.WorkingSetSize/1MB,0)}}
6. Close the loop with patching. The vendor's patched build is the actual root-cause fix. Deploy it through patch management to the same device group, track compliance per endpoint, and the alert from step 1 becomes a dead alarm — the best kind.
The Takeaway
An app “walking out in solidarity” makes the news because it's absurd. What shouldn't still be news — but is, in most IT departments — is the gap between detection and remediation: a monitor that can see the problem, an RMM that can act, a helpdesk drowning in duplicate tickets, and no shared timeline between them. If killing one hung process on forty machines takes five tools and a OneNote page, that gap is costing your team hours every single week. Close it, and the next rogue app is a six-minute footnote instead of a bad Monday.
Related Resources
AlertMonitor RMM & Remote Management AlertMonitor Platform Overview Book a Demo RMM & Remote Management Resources
Is your security operations ready?
Get a free SOC assessment or see how AlertMonitor cuts through alert noise with automated triage.