Observability: The Missing Piece in Many Startups
by Arif Ikhsanudin, Backend Developer
“The server looks fine… so what’s wrong?”
This is the classic moment.
Users complain. Something is clearly broken.
But dashboards look “normal.”
So the team starts guessing:
- Restart the service
- Roll back the latest change
- Hope it fixes itself
Sometimes it works. Often it doesn’t.
That’s not debugging. That’s gambling.
Monitoring Tells You Something Is Wrong
Most startups have some form of monitoring.
You get alerts like:
- CPU is high
- Error rate increased
- Response time is slow
That’s useful.
But it only answers one question:
“Is something wrong?”
It doesn’t tell you:
- Why it’s happening
- Where it started
- What’s affected downstream
And that’s where things get painful.
Observability Tells You Why
Observability goes deeper.
It connects the dots between:
- Logs (what happened)
- Metrics (how much, how often)
- Traces (where the request went)
Instead of guessing, you can:
- Follow a request across services
- See where latency spikes
- Identify the exact failure point
It turns “something is broken” into “this is exactly what broke.”
You Don’t Need More Tools — You Need Better Signals
A common mistake is tool overload.
Adding more dashboards doesn’t fix the problem
if the data itself isn’t useful.
What actually helps:
- Structured logs (not random print statements)
- Meaningful metrics (not everything, just the right things)
- Traceable requests (with IDs across services)
Think in terms of questions:
- “Can I trace a user request end-to-end?”
- “Can I explain a spike without guessing?”
- “Can someone new debug this without help?”
If the answer is no, observability is missing.
Good signals beat more signals.
It Changes How Teams Work
When observability is in place, something shifts.
Incidents become:
- Faster to diagnose
- Less stressful
- Less dependent on specific people
Teams stop saying:
- “I think it’s this service…”
And start saying:
- “It’s failing here, because of this dependency.”
That confidence matters.
It affects:
- How quickly you ship
- How safely you scale
- How much you trust your system
Observability isn’t just a toolset. It’s a way of understanding your system in real time.
The Quiet Advantage
Startups often prioritize features first.
Observability feels like something to “add later.”
But later usually means:
- After the first major outage
- After customers lose trust
- After debugging becomes chaos
The teams that invest early don’t move slower.
They move with clarity.
Because in the end, the real problem isn’t that systems fail.
It’s that no one can explain why.