Alert fatigue doesn’t announce itself. It builds quietly over weeks and months until one day a critical incident triggers and nobody responds with the urgency it deserves. By that point, the damage is already done.
This guide walks through what alert fatigue actually is, how it happens, and what you can do about it.
Table of contents
What alert fatigue actually is
Alert fatigue is a state of mental exhaustion where on-call responders become desensitised to incidents.
Say your payment gateway going down at 2 AM triggers a critical phone call alert. But since your on-call responder has been paged fifteen times this week for incidents that resolved themselves, the critical phone call gets treated as a noisy alert. And this leads to a delayed response or a completely missed incident.
How does it happen
Alert fatigue rarely has a single cause. It usually builds from a few different things.
- Stale thresholds
For a new service, alerting thresholds are usually configured at low. It is a reasonable approach because you are still figuring out what normal looks like for that service. But the problem arises when those thresholds rarely get revisited.
For example, a server at 60% memory capacity triggers an incident. An API responding in 300ms triggers another. In the initial days, those numbers are worth watching. A few months later, the service handles twice the traffic and those same numbers are completely normal. But since the thresholds never got updated, the incidents keep firing at the old rate for things the system now handles without any trouble.
2. Treating all incidents the same way
A phone call carries urgency in a way a Slack message simply does not. A short delay in transactions probably does not need a midnight phone call. A severe drop in success rates definitely does. When both reach the responder through the same channel, the distinction disappears. Everything feels equally urgent, which quietly makes nothing feel urgent.
3. The quiet accumulation of volume
Each noisy incident seems small in isolation. One false page on a Monday is forgettable. Twenty across a week starts to matter. The volume compounds quietly over time. This makes people adjust and lower their guard. And they build habits around dismissal rather than investigation.
How to fix it
A good place to start is getting the goal right. It isn’t zero incidents, it’s the right incidents. Teams that try to solve fatigue by suppressing everything often end up with a different problem: missing critical incidents. What you want is a setup where an incident reaching your on-call responder means something genuinely needs their attention.
There are two levers worth working on.
The first is your alert routing. Alert routing rules let you decide what happens to each incident automatically. Low-priority incidents that don’t need immediate action can be auto-acknowledged or resolved by a timer. Incidents that always self-correct can be set to auto-resolve. And signals you never need to see can be suppressed before they reach the queue.
To learn more about alert routing, check out this guide →
The second lever is your monitoring system. It’d be helpful to go back to your thresholds and ask whether they still reflect how your system actually behaves today. A server at 50% memory capacity probably doesn’t need to page anyone. At 75%, a warning makes sense. At 90%, a phone call is reasonable. Those distinctions are worth building in explicitly. And revisiting them is usually where the biggest noise reductions come from.
One thing worth protecting carefully is phone calls. They are the most reliable way to reach someone who is asleep. When phone calls go out for every incident regardless of priority, people gradually start treating them like everything else. Once that channel loses its meaning, it’s hard to get back. So, reserve phone calls for incidents that genuinely need an immediate response.
Alert fatigue takes time to set in. It takes time to clear it out too. When you get your thresholds right and set up clear alert routing, you usually start to see a difference within a few days. The incidents that reach your team actually mean something again. The noise drops off, and the trust in that 2 AM phone call gradually returns.
If you are looking for a reliable way to route your incidents and keep the noise down, Spike handles that automatically. You can set up auto-resolve rules, suppress duplicates, and make sure phone calls only trigger when they genuinely matter.
FAQs
How do I know if my team is experiencing alert fatigue?
A few patterns are worth watching for. If your on-call engineer escalates more than usual, that can signal they’re running low on the bandwidth to engage properly with each incident. If low-priority incidents sit unacknowledged for long stretches, that’s worth paying attention to. And if your team’s first assumption when a phone call comes in is “it’s probably nothing,” that shift in instinct is a useful early sign.
Is alert fatigue the same as on-call burnout?
They’re related but not the same. On-call burnout is broader. It can come from long shifts, too little recovery time, or being expected to ship features and handle incidents at the same time. Alert fatigue is more specific. It’s about what happens when too many incidents stop meaning anything. Alert fatigue can contribute to burnout, but you can have one without the other.
How long does it take to recover from alert fatigue?
There’s no fixed timeline, but most teams notice a real shift within a few weeks of cleaning up their routing and revisiting their thresholds. The technical side improves faster than the human side. Even after the noise is gone, the instinct to dismiss can linger for a while. Running the monthly review consistently and seeing a quieter, more signal-rich queue is usually what rebuilds trust over time.