The bug wasn’t in the code.
It was in the traffic.
A friend showed me his metrics after a product launch.
Nothing unusual in the logs. No obvious errors, Just one thing:
A sudden spike in requests. Seconds later…The system went down.
The problem
The system tried to handle every request immediately.
No limits.
No control.
What was happening?
When traffic increased:
• every request hit the API
• every request hit the database
• every process started at once
The system didn’t slow down. It overloaded. Why this is dangerous:
Traffic spikes are normal.
But without control:
Your system becomes unstable under pressure.
The solution
You don’t just scale systems, You regulate them.
Two key strategies:
Rate limiting
• restrict how many requests a client can send
• protect your system from abuse or spikes
Backpressure
• control how much work your system processes internally
• queue, delay, or reject excess load
Together, they do one thing:
Keep your system stable under pressure.
Mental model
Think of a highway during rush hour. Without traffic lights or limits… Everything stops. Control the flow…And movement continues.
The lesson
Performance isn’t just about speed, It’s about control.
Takeaway
A stable system doesn’t accept everything.
It knows when to say:
“Not now.”
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