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Systems

How to reduce downtime with proactive application monitoring

Most outages give warning signs first. How proactive monitoring, clear ownership and a simple incident routine cut downtime.

· Updated 3 min read
An operations control room with monitoring desks
In this article
  1. What is the difference between reactive and proactive support?
  2. What should you monitor?
  3. How do you set alerts people act on?
  4. What does a good incident routine look like?
  5. Which practices prevent downtime in the first place?
  6. Which tools do you need?
  7. How do you measure improvement?
  8. Where to start
  9. Questions

When the website, CRM, booking system or an integration goes down, the cost shows up quickly: lost orders, idle staff, missed deadlines, unhappy customers. And it is rising. Siemens’ 2024 analysis found that the cost of an hour of downtime grew 113% in automotive plants and 319% in heavy industry between 2019 and 2023, far faster than inflation (Siemens, The True Cost of an Hour’s Downtime, 2024). Factories are the extreme case, but every business that runs on software feels the same pressure, and smaller companies have fewer people to absorb the disruption.

The encouraging part is that most outages announce themselves. Responses slow down, error rates creep up, a disk fills, a certificate approaches expiry, an integration starts failing quietly. Proactive monitoring catches those signs and gets someone to act before customers notice.

What is the difference between reactive and proactive support?

Reactive support waits for a user to report a problem, then investigates. Proactive support watches continuously, alerts on early warning signs and fixes the cause, often before anyone outside the team knows there was an issue. It also uses what it learns from each incident to stop the next one.

What should you monitor?

Work from the outside in.

  1. User journeys. Automated checks that log in, search, add to basket or submit a form every few minutes, from more than one location. If these fail, users are affected.
  2. The four golden signals for each application: traffic, errors, response time and saturation (how close resources are to their limits).
  3. Dependencies. Databases, queues, payment providers, email services and third-party APIs. Many outages start outside your own code.
  4. Integrations. Scheduled jobs and data syncs between systems. These often fail silently, and the first sign is a wrong report two weeks later. Alert when a job doesn’t run, not only when it errors.
  5. Expiry dates. Certificates, domains, licences and API keys. Simple to track, embarrassing to miss.

How do you set alerts people act on?

Too many alerts are as bad as none, because people learn to ignore them.

  • Alert on symptoms, such as error rates or slow checkouts, and on clear precursors, such as a disk at 85%. Don’t page anyone for every spike.
  • Give every alert an owner and a short note on what to check first.
  • Set severity levels. A broken checkout wakes someone up; a slow internal report waits until morning.
  • Review monthly. Delete or tune alerts nobody acted on.

What does a good incident routine look like?

Tools find problems; people fix them. Write down a one-page routine:

  1. Detect and acknowledge. The owner confirms they are on it within an agreed time.
  2. Communicate. A short status update to affected users or teams, and an update at set intervals.
  3. Restore first, then fix. Roll back, fail over or switch off the broken feature to get service back, then find the cause.
  4. Review without blame. Within a week: what happened, why, how it was found, and what will stop it happening again.

Which practices prevent downtime in the first place?

  • Small, frequent releases with automated tests and an easy rollback.
  • Capacity planning ahead of known peaks such as sales events or month-end.
  • Backups that are tested, by restoring them on a schedule.
  • Regular patching, which also closes security holes.
  • Documentation of how each system is connected, so the person on call isn’t guessing.

Which tools do you need?

You can start with what your cloud provider includes, plus an uptime checker for key journeys and an error-tracking service for your applications. Larger estates benefit from an observability platform that brings logs, metrics and traces together. Choose tools your team will configure and maintain; an unmaintained monitoring setup gives false comfort.

How do you measure improvement?

Track availability of key journeys, the number of incidents, mean time to detect and mean time to restore. The aim is fewer incidents found by customers and faster recovery for the rest.

Where to start

Our Systems & Integrations work connects your core systems and documents how they fit together, with monitoring on every integration we build. If disconnected systems and silent failures are slowing your team down, tell us where you’re stuck.

Questions

What is proactive application monitoring?

Watching the health of your applications and the systems they depend on continuously, with alerts on early warning signs, so problems are fixed before users notice rather than after they complain.

What should we monitor first?

Start with the user journeys that earn or cost money, such as checkout, login, quote requests and key integrations, and measure their availability, speed and error rate. Then add the servers, databases and third-party services they depend on.

How do we reduce alert fatigue?

Alert only on symptoms users would notice or on clear precursors to them, send each alert to a named owner, and review alerts monthly to remove the ones nobody acts on.

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