In 30 seconds
- Setting: renewal deadline day at a state licensing office. The online portal slows to a crawl just as citizens rush to renew.
- What Motadata did: Motadata ObserveOps had forecast the capacity shortfall two weeks earlier and showed exactly where citizens were stuck; Motadata ServiceOps showed why the fix never happened.
- Business point: Astiostech, a Malaysian technology company, implements Motadata ObserveOps, a unified observability platform, and Motadata ServiceOps, an ITSM, ITAM and patching platform. Together they help agencies see deadline-day trouble coming and act on it in time.
Predictable surges that still catch agencies out
Government portals live by the calendar. Renewal deadlines, tax seasons, school registration and payment due dates bring traffic surges that everyone knows are coming. Yet those surges still cause slowdowns, long queues at the counter and complaints on social media.
The reasons are familiar:
- Capacity is planned by habit, not by forecast, so last year's numbers decide this year's servers.
- Warnings and actions live in different places. Monitoring may spot a risk, but the change needed to fix it waits in a separate approval process.
- Approval workflows depend on one person, and that person may be on leave, on a course or in a meeting.
- Counter staff and call centres flood the helpdesk with the same complaint, in different words.
- IT teams see servers, not citizens, so they may not know which step of the journey is failing.
Deadline day exposes every one of these, in public.
The illustration
At 8:58am on the last day of renewals, Puan Salmah looked at the queue display in the lobby downstairs, then at the portal dashboard on her screen, and decided she liked neither of them.
The lobby queue number said 147. It was not yet 9am.
Puan Salmah ran the portal operations team at the state licensing office: four officers, one portal and a server room that also stored the Hari Raya decorations. Today, half the state seemed to have remembered their licences at once.
Every year it was the same. Reminders went out by letter, on the radio and on the office's social media page. Every year, a large part of the state treated the deadline as a suggestion until the final morning, and then treated it as an emergency.
By 9:10am, the alerts began. Response time. Application server load. Database connections. Payment page timeouts. Motadata ObserveOps took the flood and folded it into a single correlated incident: the application servers were running out of capacity, and the slowdown was spreading from there. ObserveOps had already opened that incident in Motadata ServiceOps, and the tickets arriving from counter staff ("system slow", "cannot print", "portal hang again, please help") were clustering into it.
Real user monitoring showed her where citizens were stuck. Not the login. Not the form. The payment step, where requests were queuing behind each other. The SLO view for the portal, the promise the office had made about how fast renewals should complete, was burning through its margin for the day.
Then Salmah noticed something that made her put down her kopi.
On the capacity panel was a forecast line, drawn two weeks ago, rising steadily and crossing the server limit on exactly one date. Today.
"Amir," she said. "Did we see this coming?"
Amir, her most careful officer, went slightly pale. "We did, Puan. I raised a change to add two application servers. Two weeks ago."
He pulled it up in ServiceOps. The change was complete, tested in staging and ready. Its status was "Awaiting approval". The approver was Encik Rahim, who was attending a week-long course in Port Dickson. His only update to the team that week had been a photograph of the buffet.
Amir had sent two reminders. The second said "URGENT" in the subject line. Both were sitting unread in an inbox that was also, in spirit, attending the course.
Nobody had done anything wrong, exactly. The forecast worked. The change was raised. The workflow simply had one approver and no plan for when that approver was eating satay by the sea.
Now Salmah faced two problems, and only one of them was technical.
Adding servers in the middle of the peak carried its own risk. Doing it badly could take the portal down completely, which would be worse than slow. And even if it worked perfectly, thousands of citizens had already failed to pay this morning. Some would not manage it before midnight.
The servers were her decision. The deadline was not.
She printed the ObserveOps view: the forecast, the real user monitoring of the payment step, the SLO line and the number of failed attempts so far. Then she walked up two floors to the Director's office.
On the way, she passed the lobby. The queue number now said 212. A man in a cycling jersey was explaining to a counter officer, very patiently, that he had tried to pay online four times and would now like to pay in person, in cash, and possibly forever.
"Tuan Pengarah, the portal will recover today. But many people have been blocked by our system, not by their own lateness. Whether they get more time is your decision. I have brought the evidence."
The Director looked at the forecast line for a long moment. "We saw this two weeks ago?"
"We did. The fix was waiting for an approval."
He approved the emergency change on the spot, under his own authority as Director. Then he called the communications unit and announced a three-day grace period for anyone who had tried and failed to pay that day. That was a policy decision, made by the person whose job it was to make it, with the facts in front of him.
Amir added the servers at 1:05pm, during the lunch lull, one at a time, watching the ObserveOps view after each step. The payment queue cleared. Real user monitoring showed renewals completing again. The SLO line flattened and began to recover. Downstairs, the queue display slowed its climb, then started to fall.
By 4pm, the counter staff had stopped sending tickets and started sending curry puffs. The communications unit posted the grace period announcement, and the angry comments on the office's page slowly turned into thank-yous, with only one person asking whether the grace period also applied to his parking fines.
Salmah wrote the post-incident note in ServiceOps. Cause: capacity shortfall, forecast in advance. Contributing factor: change approval waited on a single approver. Fix: emergency change approved by the Director. Follow-up: every approval step gets a named delegate, and capacity forecast alerts now open a ticket in ServiceOps automatically, routed to the portal team instead of waiting for someone to notice.
On Friday, Encik Rahim returned, tanned and well fed, and opened ServiceOps to find himself listed with a delegate for the first time in his career.
"Is this a promotion or a punishment?" he asked.
"It is a buffet insurance policy," said Salmah.
Key points: the problem and how Motadata solved it
| Common government problem | What happened in the story | How Motadata helps |
| Deadline surges are planned by habit | A forecast two weeks earlier showed capacity would run out on deadline day | Motadata ObserveOps forecasting projects when resources will hit their limits |
| IT sees servers, not citizens | Real user monitoring showed citizens stuck at the payment step | ObserveOps real user monitoring shows which step of the citizen journey is failing |
| Alert floods on the busiest day | Alerts folded into one correlated incident, opened automatically in ServiceOps | ObserveOps alert-noise reduction and correlation, and automatic incident creation in Motadata ServiceOps |
| Counter staff flood the helpdesk | Counter tickets clustered into the same incident | ServiceOps incident clustering groups related tickets |
| Approvals depend on one person | The capacity change waited for an approver on a course | ServiceOps change management and workflow orchestration support delegated approvals |
| Service promises are hard to measure | The portal SLO showed how much of the day's margin was used | ObserveOps SLO and reliability monitoring tracks performance against agreed objectives |
| Policy decisions need evidence | The Director granted a grace period based on the ObserveOps data | The tools give leaders facts; leaders make the policy decision |
FAQ
What is Motadata ObserveOps? Astiostech, a Malaysian technology company, implements Motadata ObserveOps, a unified observability platform. It covers hybrid infrastructure, application and network monitoring, traces, log monitoring, real user monitoring, SLO monitoring and network configuration compliance, with AI anomaly detection, cross-domain correlation, forecasting and alert-noise reduction.
Can Motadata ObserveOps predict capacity problems on a government portal? Motadata ObserveOps includes forecasting, which projects resource use and shows when it is likely to reach a limit. Acting on that forecast in time still depends on the agency's change and approval process.
How does Motadata help agencies handle counter and call centre complaints during an outage? Motadata ServiceOps uses AI ticket categorisation, routing and incident clustering to group related complaints into one incident, so the IT team can focus on the cause.
Can approvals in Motadata ServiceOps have a delegate? Motadata ServiceOps provides change management and workflow orchestration, which agencies can use to design approval steps, including delegates. The exact workflow is set up during implementation.
What does Astiostech do for Motadata customers in Malaysia? Astiostech implements Motadata products: discovery, architecture, deployment, integration, training and ongoing support. Read more on the Motadata page.
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Disclaimer
This story is fiction. The state licensing office and every person in it are imaginary. The product capabilities shown are taken from Astiostech's published product information and capabilities confirmed by Astiostech.