Why Network Monitoring Still Falls Short for Nigerian Banks and Fintechs
Part 1 of 2 - How Nigerian BFSI teams approach network monitoring, where the approach works, and where it fails.
You get an alert, and it lands in the folder with all the other alerts. Then later, someone calls to say a branch can’t process transactions. You log in, dig around, and find the issue, and this is something that had been building for hours. What’s shocking is that the monitoring tool was running, the alerts were set up properly, and still, the problem caught everyone off guard!
If you talk to enough IT leaders in Nigeria’s financial sector, you’ll hear this same story more often than they’d like to admit. It points to an important truth: even well-implemented network monitoring has a ceiling.
To understand where things stand, we spoke directly with IT practitioners across Nigerian banks and fintechs. What follows is a grounded look at how monitoring is actually done, what it achieves, and where it falls short.
The Basics Are In Place, And They Matter
Across the organisations we spoke with, day-to-day network monitoring follows a consistent approach. Teams use automated monitoring tools to track the availability and performance of core infrastructure, things like routers, switches, firewalls, WAN links, and ISP connections. The key metrics they watch include latency, packet loss, jitter, and bandwidth utilisation across branches and data centres.
One practitioner explained the logic behind this clearly: monitoring in financial services should go beyond detecting when something has broken. The goal is to spot problems before they become outages.
“You have things like latency, packet loss – these are metrics you can use as data to predict if a downtime is imminent. When you see packet loss happening repeatedly, it shows there is an issue with your link. It’s not sustainable.”
This proactive approach is well established in the sector. Teams don’t simply wait for devices to go offline; they watch for signals that precede failure, such as a power module cycling on and off, cooling systems under strain, interface errors piling up, or bandwidth steadily approaching its limit.
Most teams rely on SNMP (Simple Network Management Protocol) to gather this data. Networking devices report events, state changes, and performance metrics back to the monitoring platform, where engineers configure what to track, what triggers an alert, and how notifications are routed. In a sector where downtime carries immediate commercial and reputational costs, that loop matters.
How Teams Actually Operate Day-to-Day
Day-to-day, network monitoring in Nigerian BFSI environments is alert-driven. Engineers rely on configured alerts, usually delivered by email or messaging integrations, to flag issues and step in when needed.
One Senior Network Engineer told us he hadn’t logged into the monitoring platform itself in several months. His alerts were configured well enough that the absence of high-priority notifications was reassuring.
“If I get 100% on all my devices in my weekly report, I don’t have anything to worry about. If I spot a 97 or 98, something went wrong during that period. I go and investigate.”
This kind of predictive monitoring works. One practitioner set a bandwidth alert at 95% utilisation instead of 100%, which gave him time to step in before users felt any slowdown. By the time the link was fully saturated, he’d already found the cause, fixed it, and gathered the data to justify a capacity upgrade. That’s monitoring as it should work.
This approach is effective when conditions are stable. But it also means your monitoring is only as good as your alert configuration. The tool monitors what you’ve told it to monitor, nothing more. That simple constraint is where most of the real problems begin.
The Gaps That Experienced Engineers Acknowledge, And Management Often Does Not See
The most insightful part of our conversation came when we talked about the gaps. The engineers agreed that while their monitoring environments were functional, they had clear limitations.
Alert fatigue is real.
Monitoring tools are designed to capture everything because every event could reveal a trend or issue. But when they generate too many alerts, it becomes difficult to separate what matters from what doesn’t. One IT practitioner shared that all alerts are sent to a dedicated folder just to keep his inbox manageable. The downside is that critical alerts are buried among routine notifications, making important issues easier to miss.
“Alerts are too much. And the funny thing is, even those small alerts are important because they show you a trend over time. So, you cannot just disable them. But when the critical ones come in the same format as everything else, it is a problem.”
Configuration gaps create blind spots that no one knows exist.
A monitoring tool only alerts on what it’s been configured to watch. If a failure mode wasn’t anticipated at setup, or if an alert integration breaks silently, that event won’t produce an alert. The platform still stores the data, but without the alert, it stays invisible until someone goes looking or a customer calls.
One engineer put it plainly: “If the alert was not configured, the situation will not be flagged when it happens.”
Some things are genuinely difficult to monitor.
VPN tunnel states, logical interfaces, and virtual connections remain a real challenge. Physical devices report their state cleanly via SNMP. Logical and virtual connections don’t.
One engineer described spending considerable effort trying to get reliable VPN tunnel status from his monitoring platform, working through OID and MIB mismatches, before accepting the gap wasn’t going to be resolved.
In an environment where secure connectivity is business-critical, not knowing the real state of your VPN tunnels is a risk.
The monitoring tool itself can become a point of failure.
More than one engineer raised this: if the monitoring solution runs on a server that goes down, or if the connection between the monitoring tool and its notification system breaks, you lose visibility exactly when you need it most. One practitioner described an agent-based setup where the agent had no way of alerting the team if it failed, meaning a server could be silently down without anyone knowing.
Cross-team investigation takes longer than it should.
In complex incidents, particularly those involving multiple service providers or the boundary between network and application layers, finding the root cause takes a lot of back-and-forth. The network team says the network is fine. The application team says the application is fine. The back-and-forth continues while the issue persists, and users wait.
By the time the root cause is found, time has been lost in transactions, customer confidence, and trust. This is a structural limitation of monitoring approaches that give each team visibility into their own layer but little visibility into how the layers interact.
What The Data Is Pointing To
Nigerian BFSI teams are doing serious work with real tools, and many of the monitoring setups are sophisticated. The practitioners we spoke with are describing a ceiling: a point beyond which their current tools and processes can’t reliably take them.
Traditional network monitoring answers one question well: is this device up or down?
But the question that matters to a CIO, Head of Infrastructure, or Operations Director is different: are our systems delivering the experience our customers and staff depend on, and will we know before they do when something is about to go wrong?
One practitioner put it directly when asked what he’d change about his current setup. He wanted to move from infrastructure-centric monitoring, tracking the health of individual devices, to something more service-centric: a clearer picture of how system and device performance affects end users and business operations.
“A system is considered to be performing well when it consistently meets service availability targets, supports business operations without disruption, and delivers a seamless experience to both internal users and customers. That is the standard we are being held to. Our monitoring needs to reflect it.”
That standard, service-level performance rather than device-level health, is what observability is designed to address. It’s also where most Nigerian BFSI organisations aren’t yet operating.
Here Are the Questions Worth Sitting With
Your monitoring tools are running, your alerts are configured, and your team is capable. But if a critical service degraded silently tonight, a steady decline that stays below your alert thresholds:
- How long before you would know?
- How long before a customer calls?
- And when you investigate, how quickly could you tell whether the fault lies in your network, your infrastructure, your application layer, or your ISP?
If your answer is, “I’m not sure,” that uncertainty could cost you.
In the Nigerian BFSI sector, where customers have more alternatives than ever and regulatory scrutiny is tightening, the gap between detecting a problem and understanding it is a business risk worth taking seriously.
Part 2 of this series explores how leading organisations are closing the visibility gap by rethinking how they approach monitoring.
And that’s not all… We are inviting you to register and join our webinar. We’ll be discussing “From Downtime to Trust: The Cost of Digital Banking Disruptions” and why end-to-end visibility through full-stack observability is just as important as monitoring individual systems.
Date: July 29, 2026
Time: 11:00 AM – 12:00 PM
Location: Microsoft Teams
Speaker: Titilope Bello – SolarWinds Certified Instructor (SCI)
