When europe-west2 Went Dark, Your Clients Called You — Not Google: An MSP Playbook for Cloud Region Outages

The recent Google Cloud incident in London started, according to Google, with a "power event" affecting data centers in the europe-west2 region. By the time most of us finished our morning coffee, banks, delivery services, e-bike providers, budgeting apps, and even NHS appointment systems were feeling it — not because those organizations run their own infrastructure in that region, but because vendors two and three steps down their dependency chain do.

If you run a NOC for an MSP, or you're the internal IT team for a business that lives on SaaS, here's the uncomfortable truth from that morning: cloud resilience is Google's problem, but the phone call is yours. Your client doesn't open a support ticket with Google. They call you. And whether that call arrives as a managed incident or a four-hour fire drill depends entirely on whether you had visibility into the dependency chain before it broke.

The Problem in Depth: Last to Know, First to Be Blamed

1. Your monitoring stops at the client's firewall

Most RMM platforms and on-prem monitoring stacks are built around the devices you control: servers, workstations, switches, firewalls, printers. When a client's ERP vendor — hosted on europe-west2 — goes down, every device in that office is healthy. Pings are clean, agents check in green, disk and CPU look boring. Yet 30 users can't log in. Traditional tooling reports "all systems operational" while the business is offline. You find out from a ticket titled "cant login to [SaaS]?? URGENT" — written by an end user at 9:07 a.m., four minutes after they started retrying their password.

2. Status pages lag reality

During the London incident, reports were circulating in community forums and on social media before vendor dashboards fully reflected the scope. If your incident process starts with "check the provider's status page," you are structurally last to know. Meanwhile, your techs are checking the client's firewall, then the core switch, then DNS, then the VPN tunnel — 30 to 60 minutes of chasing a ghost before somebody says the words "wait, is it Google?"

3. Tool sprawl turns one incident into five jobs

The typical stack: ConnectWise or Autotask for tickets, NinjaRMM or Datto for RMM, Pingdom or UptimeRobot for external checks in a third tab, the provider's status page in a fourth, and Teams or Slack for comms in a fifth. One region outage means manually correlating: which RMM alerts fired, which tickets opened, which external checks flapped, which clients are affected? Nobody has the full picture, so everybody works from memory and screenshots.

4. The ticket math is brutal

Say 45 users across 9 clients hit the same broken SaaS. That's 15–45 tickets depending on how undisciplined your users are. At 6–8 minutes of triage each — dedupe, verify, annotate, respond — you're burning 2–6 technician hours before anyone communicates a root cause. And here's the part that keeps IT managers up at night: if you can't correlate those tickets to a documented upstream incident, every one of them counts against your first-response and resolution SLAs. Your monthly report shows a spike in your team's failures, caused by a power event in a data center you've never seen.

What it actually costs

• MTTR inflated 2–3x because every diagnosis starts with "is it us?"
• A ticket backlog that takes days to clear after a single morning
• SLA credits and awkward QBR conversations with clients who don't care whose fault it was
• Technicians who stop trusting the monitoring stack and start trusting end users — which is exactly how a real internal outage gets missed next time

How AlertMonitor Solves This

One NOC view across every client. When something regional breaks, you don't click through client-by-client dashboards. Filter all clients' assets and checks at once and see the blast radius in seconds: 9 clients, 14 server agents stalled, 6 external SaaS checks failing, all inside the same time window. Scope confirmed in under two minutes.

External dependency checks live next to device monitoring. Monitor each client's critical SaaS login URLs and API health endpoints as first-class checks, side by side with servers and switches. When every client's LAN is green but their SaaS checks are red simultaneously, the pattern is unmistakable: it's upstream, it's not you, start the provider-incident workflow.

Alert grouping into incidents. Forty related alerts collapse into one incident with a single timeline. Per-client alert routing means the right technician for each account is notified once — not forty times.

Helpdesk in the same pane of glass. Convert the incident into a parent ticket, bulk-associate the user tickets, annotate once, and pause SLA clocks against the documented upstream cause. When Google confirms recovery, you close forty tickets with one consistent client-facing message in the time it takes to write it.

RMM verification after recovery. The region comes back online; your job isn't done. Push a verification script to affected endpoints, confirm agents are checking in, services are running, and nothing needs a reboot or a re-run patch cycle — from the same console, without touching VPNs or client firewall rules.

Practical Steps You Can Take Today

1. Build the dependency inventory

For every client, document their top five business applications:

You cannot monitor a dependency you haven't written down. This table alone will cut your next upstream-incident triage in half.

2. Monitor the dependency, not just the device

Here's a quick PowerShell check you can run from any Windows box — or wire into AlertMonitor as a script-based check with per-client alert routing:

$targets = @(
    "https://erp.clienta.example.com/login",
    "https://api.clienta.example.com/health",
    "https://portal.clientb.example.com/"
)

foreach ($t in $targets) {
    $sw = [System.Diagnostics.Stopwatch]::StartNew()
    try {
        $r = Invoke-WebRequest -Uri $t -Method Head -TimeoutSec 10 -UseBasicParsing
        $sw.Stop()
        [PSCustomObject]@{
            Target     = $t
            Status     = $r.StatusCode
            ResponseMs = $sw.ElapsedMilliseconds
        }
    } catch {
        $sw.Stop()
        [PSCustomObject]@{
            Target     = $t
            Status     = "FAILED: $($_.Exception.Message)"
            ResponseMs = $sw.ElapsedMilliseconds
        }
    }
}

And the same idea from a Linux jump host:

for url in https://erp.clienta.example.com/login https://api.clienta.example.com/health; do
  code=$(curl -s -o /dev/null -w "%{http_code}" --max-time 10 "$url")
  echo "$(date -Is) $url -> $code"
done

When these fail across multiple clients at once while device monitoring stays green, you have your answer before the status page updates.

3. Write the runbook before the outage

One page is enough: trigger conditions (N or more clients failing the same external check), scope confirmation in the NOC view, parent-ticket creation, bulk ticket association, a client comms template, and links to provider status pages. During the incident you execute the runbook — you don't design it.

4. Verify recovery at scale, not by RDP

When the provider announces recovery, push a verification pass to affected Windows endpoints:

$servers = Get-Content 'C:\NOC\affected-europe-west2-servers.txt'

Invoke-Command -ComputerName $servers -ScriptBlock {
    [PSCustomObject]@{
        Computer  = $env:COMPUTERNAME
        WinRM     = (Get-Service WinRM).Status
        TimeSync  = (w32tm /query /status | Select-String 'Last Successful Sync Time').ToString()
        DiskFree  = [math]::Round((Get-CimInstance Win32_LogicalDisk -Filter "DeviceID='C:'").FreeSpace / 1GB, 1)
        LastBoot  = (Get-CimInstance Win32_OperatingSystem).LastBootUpTime
    }
} | Format-Table -AutoSize

While you're in there, confirm the patch state didn't get corrupted by a half-applied maintenance window that died mid-reboot:

$servers = Get-Content 'C:\NOC\affected-europe-west2-servers.txt'

Invoke-Command -ComputerName $servers -ScriptBlock {
    $latest = Get-HotFix | Sort-Object InstalledOn -Descending | Select-Object -First 1
    [PSCustomObject]@{
        Computer      = $env:COMPUTERNAME
        LatestHotFix  = $latest.HotFixID
        InstalledOn   = $latest.InstalledOn
        PendingReboot = (Test-Path 'HKLM:\SOFTWARE\Microsoft\Windows\CurrentVersion\Component Based Servicing\RebootPending')
    }
} | Format-Table -AutoSize

Anything reporting PendingReboot = True goes straight into a controlled reboot window via your patch management — scheduled, batched per client, done from the same console.

5. Fix the SLA story with data you already have

Because alerts, tickets, and the incident all live in one system, your monthly report can treat provider-caused downtime as a documented, filterable category instead of a forensics project. That's the difference between telling a client "our SLA hit 91% this month" and "our SLA hit 91% — 3.4 points of variance trace to a documented upstream cloud incident on the morning of the London event, affecting 9 of our clients; here is the timeline and our response log."

The Takeaway

The London incident will not be the last region-level failure you see, and it won't be the biggest. You cannot assume resilience from your cloud provider — but you can assume ownership of the outcome, because your clients will hand it to you either way. The MSPs and IT teams who come out of incidents like this looking good aren't the ones with better vendors. They're the ones who saw the blast radius in two minutes, told every affected client the truth in ten, and had the verification data to prove recovery. That is an operations problem, and it's solved with a unified platform — not another browser tab.

Related Resources

AlertMonitor MSP Operations & Team Efficiency AlertMonitor Platform Overview Book a Demo MSP Operations & Team Efficiency Resources