Sitemap
Towards Dev

A publication for sharing projects, ideas, codes, and new theories.

Press enter or click to view image in full size
🚨 Your Spring Boot REST API Has a Retry Problem — How One Failure Becomes a Production Outage

Member-only story

🚨 Your Spring Boot REST API Has a Retry Problem — How One Failure Becomes a Production Outage

13 min readSep 13, 2026

--

“Retries don’t remove failures. Sometimes they multiply them.”

Your Spring Boot API starts receiving errors from a downstream service.

So you add retries.

@Retryable(maxAttempts = 3)
public PaymentResponse charge(PaymentRequest request) {
return paymentClient.charge(request);
}

Problem solved?

Maybe.

Or maybe you just created one of the most dangerous failure amplifiers in your architecture.

Because when traffic gets high, this:

1 failed request
→ 3 attempts

can become:

10,000 requests
→ 30,000 downstream calls

And if several microservices retry each other?

Your infrastructure can get buried under requests that never came from users in the first place.

Welcome to the retry storm.

1. Why Retries Look So Innocent

Imagine your architecture:

Client
|
v
Order Service
|
v
Payment Service

Normally:

Order Service
|
|…

--

--

CodeTalks
CodeTalks

Written by CodeTalks

I am a passionate tech enthusiast with a keen interest in exploring and writing about technical content.

Towards Dev
Towards Dev

Published in Towards Dev

A publication for sharing projects, ideas, codes, and new theories.