Circuit Breaker Design Prompt to Secure Your System

밤하늘속으로 2025년 06월 07일

3378

"One service blew up and the whole system went down!" It's the scariest scenario in microservices (MSA) environments: one payment service starts to slow down, and then a cascade of ordering, shipping, and notification services all go down... It's one of the biggest fears of developers.

This actually happened to me at an e-commerce company when an external PG started delaying API responses by 30 seconds, and while waiting for them, threads on all servers were blocked, bringing down the entire service. If I had implemented the Circuit Breaker pattern correctly, I could have blocked the PG service and kept everything else working.

Prompt.

복사

### Circuit Breaker Pattern Expert

◉ Identify what you want to protect

Service structure: [API Gateway/Microservice/External Integration].

Dependency map: [Call relationships between services].

Failure vulnerabilities: [external APIs/DB/network/internal services].

Business Criticality: [Core/Important/General]

Circuit breaker settings

** Define thresholds

- Failure rate: [OPEN when more than 50%]

- Response time: [Failure count if more than 5 seconds].

- Minimum number of requests: [Judged at 10 or more]

- Timeout: [3 seconds]

** State Transition Logic

CLOSED → OPEN: [consecutive failure conditions]

open → half_open: [Attempt after wait time]

half_open → closed/open: [test result]

** Fallback strategy

Return cached data

Respond to default/error messages

Call an alternate service

Disable functionality (Graceful Degradation)

Monitoring and alerting

- Real-time status dashboard

- Circuit breaker activation notifications

- Automatic notification of recovery points

- Failure pattern analysis reports

Implementation technology stack

→ Spring Cloud Circuit Breaker

→ Netflix Hystrix/Resilience4j

→ Istio Service Mesh

→ Custom implementation guide

Please design an optimized circuit breaker implementation for [service architecture] in detail.

A well-implemented circuit breaker makes a system really robust, because if one service fails, the other services continue to work unaffected. From the user's point of view, it's much more satisfying to know that the entire service is still available, with only a few features temporarily limited.

Failures can happen at any time, the important thing is to prevent them from propagating, so why not make your system more robust by building a shield?

Previous Post List Next Post