Circuit-Breaker Software System Pattern

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A Circuit-Breaker Software System Pattern is a resilient software pattern that automatically prevents system calls to failing services (to avoid cascading failures and allow service recovery).

Context:
- It can typically monitor Circuit-Breaker Software System Failure Rate of circuit-breaker software system protected calls to external services.
- It can typically maintain a Circuit-Breaker Software System State that transitions between circuit-breaker software system closed state (allowing calls), circuit-breaker software system open state (blocking calls), and circuit-breaker software system half-open state (testing recovery).
- It can typically prevent cascading failure by immediately failing circuit-breaker software system requests rather than waiting for timeouts when the circuit-breaker software system is in circuit-breaker software system open state.
- It can typically allow circuit-breaker software system service recovery by periodically allowing test circuit-breaker software system requests through the circuit-breaker software system when in circuit-breaker software system half-open state.
- It can typically improve circuit-breaker software system resilience by isolating failing components from the rest of the system.
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- It can often provide Circuit-Breaker Software System Fallback Mechanism to return circuit-breaker software system cached data or circuit-breaker software system default responses when the circuit-breaker software system is circuit-breaker software system open.
- It can often track Circuit-Breaker Software System Failure Metrics such as circuit-breaker software system error count, circuit-breaker software system error percentage, and circuit-breaker software system response time.
- It can often be configured with Circuit-Breaker Software System Threshold Parameters including circuit-breaker software system failure threshold, circuit-breaker software system reset timeout, and circuit-breaker software system half-open request volume.
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- It can range from being a Simple Circuit-Breaker Software System Pattern to being a Complex Circuit-Breaker Software System Pattern, depending on its circuit-breaker software system failure detection sophistication.
- It can range from being a Local Circuit-Breaker Software System Pattern to being a Distributed Circuit-Breaker Software System Pattern, depending on its circuit-breaker software system scope.
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- It can be implemented in various programming languages including Java circuit-breaker software system implementations, Python circuit-breaker software system implementations, and Node.js circuit-breaker software system implementations.
- It can be found in circuit-breaker software system librarys such as Hystrix circuit-breaker software system library, Resilience4j circuit-breaker software system library, and Polly circuit-breaker software system library.
- It can work alongside other resilient software patterns such as retry software patterns, bulkhead software patterns, and timeout software patterns.
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Examples:
Counter-Examples:
- Retry Software Pattern, which attempts to repeat failed operations rather than preventing operations from being attempted.
- Timeout Software Pattern, which cancels long-running operations but doesn't prevent subsequent operations from being attempted.
- Rate Limiting Software Pattern, which restricts the number of requests to protect services from overload rather than responding to failure.
See: Resilient Software Pattern, Bulkhead Software Pattern, Fallback Software Pattern, Retry Software Pattern, Timeout Software Pattern, Decouple Execution from Infrastructure Fragility, Microservice Resilience Strategy.

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