Monitoring tells you when something is wrong; backups let you recover when it is. Most early SaaS products have neither configured properly. This guide covers a sensible baseline for both.
What to monitor (and what to ignore)
The goal of monitoring is not a wall of dashboards; it is answering one question quickly: are real users able to do the thing they came to do? Start from the user's perspective. Can people sign in, load their data, and complete the core action your product exists for? Those are the signals worth waking up for.
Plenty of metrics look important and are mostly noise. CPU at 70 percent is not an incident if response times are healthy and nobody is being turned away. Track a small set of things that map to customer pain — error rate, latency on key requests, and whether background jobs keep up — and ignore the rest.
Setting up alerts that matter
An alert should mean something is wrong that a human needs to act on now. If an alert fires and the honest response is to ignore it, you have trained yourself to ignore alerts, and the real one will arrive in that same blur. Tie alerts to symptoms users feel: a spike in failed requests, checkout breaking, a queue that stopped draining.
Give every alert a threshold, an owner, and a rough idea of what to do when it fires. Page for the things that are actively hurting customers; send everything else to a channel you review, not your phone at 3am. Fewer, sharper alerts beat a hundred noisy ones every time.
Automated database backups
Your database is the one thing you genuinely cannot recreate. Code can be redeployed and servers rebuilt, but customer data, once gone, is gone. So backups are not optional, and they should not depend on anyone remembering to run them. A managed database can take automated snapshots on a schedule and retain them for a defined window with almost no effort.
Decide two numbers deliberately: how much data you can afford to lose (how often backups run) and how long you keep them. Store copies somewhere separate from the live database so a single failure cannot take both, and confirm the schedule is actually running rather than assuming it is.
Restore testing — the step everyone skips
A backup you have never restored is not a backup; it is a hope. Snapshots fail silently, retention gets misconfigured, and the one time you reach for a backup is the worst possible moment to discover it does not work. The only way to know is to perform a real restore before you need one.
Make it a routine. Periodically restore your latest backup into a throwaway environment, confirm the data is intact and the application comes up against it, then measure how long the whole thing took. That last number is your real recovery time, and it is usually longer than anyone guessed.
Tools: CloudWatch, Sentry, and more
You do not need an exotic stack. Three categories cover most SaaS products, and the combination matters more than any single product you pick within them.
Start with one tool from each category and wire them all to the same handful of alerts you defined earlier. That gives you metrics, exceptions, and an outside view of uptime without drowning anyone in dashboards nobody reads.
- Cloud-native metrics and logs: every major cloud ships a built-in service that collects request rates, latency, resource usage, and application logs, and lets you alert on them without running anything yourself.
- Error tracking such as Sentry: captures exceptions with the stack trace and context you need to actually fix a bug, rather than just knowing one occurred.
- Uptime monitoring: an external service that loads your site from outside your infrastructure and tells you when customers cannot reach it — the failure your internal metrics, being down too, may miss.