feat: Circuit breaker Middleware Implemented
Add Circuit Breaker Middleware for Fiber
This PR introduces a circuit breaker implementation for Fiber with:
- Tri-state management (Closed/Open/Half-Open)
- Configurable failure thresholds and recovery timeouts
- Automatic failure detection (errors + 5xx responses)
- Concurrency-safe state transitions
- Customizable response handlers
- Test coverage and documentation
The middleware follows industry-standard circuit breaker patterns to prevent cascading failures and enable graceful degradation of services.
@ReneWerner87 appreciate if you would review PR.
Summary by CodeRabbit
-
New Features
- Introduced a resilient Circuit Breaker middleware that safeguards services by dynamically managing request flows with configurable thresholds and timeouts for enhanced fault tolerance.
-
Documentation
- Provided comprehensive, developer-friendly documentation featuring installation guidance and example usage to simplify integration into your applications.
-
Tests
- Expanded testing to validate behavior under various conditions, ensuring accurate state transitions and reliable performance during failures and recoveries.
Walkthrough
This pull request introduces a new CircuitBreaker middleware for the Fiber web framework. It adds a comprehensive README with installation instructions, configuration details, and usage examples. The implementation includes the CircuitBreaker logic in circuitbreaker.go, featuring state management, request validation, and error callbacks. Additionally, the pull request provides a suite of tests in circuitbreaker_test.go to ensure the functionality of the circuit breaker under various scenarios.
Changes
| File(s) | Change Summary |
|---|---|
circuitbreaker/README.md |
Added documentation for the CircuitBreaker middleware, including installation instructions, a detailed configuration table, function signature (New), and example usage with a Fiber app. |
circuitbreaker/circuitbreaker.go |
Introduced the CircuitBreaker implementation with state management (closed, open, half-open), configuration structure, atomic update methods (AllowRequest, ReportSuccess, ReportFailure), a monitoring goroutine, and middleware integration for Fiber routing. |
circuitbreaker/circuitbreaker_test.go |
Added tests for the CircuitBreaker functionality, covering initialization, request allowance based on state, correct state transitions on success and failure, and middleware integration with a Fiber application. |
README.md |
Added a new entry for the CircuitBreaker middleware in the "Middleware Implementations" section, including a link to the new README file and a badge for the GitHub Actions workflow status. |
Sequence Diagram(s)
sequenceDiagram
participant Client
participant FiberApp
participant Middleware
participant CircuitBreaker
Client->>FiberApp: HTTP Request
FiberApp->>Middleware: Process request via middleware
Middleware->>CircuitBreaker: Call AllowRequest()
alt Request Allowed
CircuitBreaker-->>Middleware: Returns true
Middleware->>FiberApp: Forward request to handler
FiberApp->>Middleware: Returns handler response
Middleware->>CircuitBreaker: Call ReportSuccess()/ReportFailure() based on response
else Request Blocked
CircuitBreaker-->>Middleware: Returns false
Middleware->>Client: Return error response
end
Suggested labels
βοΈ Feature
Suggested reviewers
- sixcolors
- ReneWerner87
- gaby
- efectn
Poem
Hop along the code trail so bright,
Iβm a rabbit with delight tonight.
Circuit breaker in place, strong and true,
Guarding Fiber routes just for you.
With tests and docs, our patch takes flight! π°β¨
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Some of the config options should be renamed. You can use this for reference https://failsafe-go.dev/circuit-breaker/
@coderabbitai How does the new circuit breaker middleware differ from the existing loadshed middleware? please key in on where the conceptual commonalities and differences are so we can be sure that multiple middleware are not solving the same problems
@ReneWerner87 This doesnt have external dependencies, makes more sense to add it in https://github.com/gofiber/fiber ?
[!TIP] For best results, initiate chat on the files or code changes.
π§© Analysis chain
@ReneWerner87 Based on my analysis of the circuit breaker middleware and researching load management solutions in the codebase, I can explain the conceptual differences between circuit breakers and load shedding:
Circuit Breaker Middleware (New)
Purpose: Prevents cascading failures by stopping requests to failing services.
Key Characteristics:
- Uses a tri-state model (Closed, Open, Half-Open)
- Triggered by failure detection (errors, 5xx responses)
- Time-based recovery mechanism (automatically transitions to Half-Open after timeout)
- Focused on service reliability and fault tolerance
- Protects dependent services from continuously calling failing services
Load Shedding/Concurrency Limiting
Purpose: Protects services from being overwhelmed by too many concurrent requests.
Key Characteristics:
- Typically uses request counting or rate-based mechanisms
- Triggered by exceeding capacity thresholds (too many concurrent requests)
- Usually rejects excess requests immediately without state tracking
- Focused on resource protection and preventing exhaustion
- Ensures system stability under high load
Conceptual Differences
-
Trigger mechanism:
- Circuit breaker: Triggered by failure rate
- Load shedding: Triggered by request volume
-
Recovery approach:
- Circuit breaker: Gradual testing with Half-Open state
- Load shedding: Immediate acceptance when capacity becomes available
-
Purpose:
- Circuit breaker: Prevents calls to failing services
- Load shedding: Prevents system overload
The circuit breaker focuses on service health and failure recovery, while load shedding focuses on resource management. They are complementary patterns that address different aspects of system resilience.
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@ReneWerner87 I've analyzed both the new circuit breaker middleware and the existing loadshed middleware, and can explain their key differences and complementary purposes:
Circuit Breaker Middleware (New)
Primary Purpose: Prevents cascading failures by stopping traffic to failing services.
Key Characteristics:
- Uses a state machine with three states: Closed (normal operation), Open (requests blocked), and Half-Open (testing recovery)
- Triggered by failure detection (errors or 5xx HTTP responses)
- Maintains state across requests and includes time-based recovery mechanisms
- Tracks failure counts and automatically transitions states based on thresholds
- Allows gradual recovery through the Half-Open state to verify service health
LoadShed Middleware (Existing)
Primary Purpose: Protects system resources from overload by rejecting excess requests.
Key Characteristics:
- Makes decisions based on system metrics (CPU usage in the current implementation)
- Uses probabilistic request rejection between configurable thresholds
- Stateless evaluation - each request is assessed independently based on current load
- No recovery mechanism - accepts/rejects purely based on current system load
- Designed to shed load when system resources are stretched (e.g., CPU > 90%)
Conceptual Differences
-
Trigger mechanism:
- Circuit breaker: Triggered by service failures
- LoadShed: Triggered by resource utilization
-
State behavior:
- Circuit breaker: Maintains state across requests (remembers past failures)
- LoadShed: Stateless (only concerned with current system condition)
-
Use cases:
- Circuit breaker: Best for protecting against dependency failures
- LoadShed: Best for protecting against resource exhaustion
These middlewares serve complementary purposes in a resilient system. The circuit breaker prevents calling failing services, while loadshed protects the system itself from becoming overloaded.
@ReneWerner87 This doesnt have external dependencies, makes more sense to add it in gofiber/fiber ?
the core only makes sense if it is middleware that is used by many people would not decide only on the basis of dependencies rather according to the frequency of the people we reach and who use this procedure and we are already well positioned with the currently available ones
@ReneWerner87 @gaby thanks for review I've updated PR according to comment please review
Here's the review using OpenAI - o3-mini-high
Below is an inβdepth review of the implementation with several critical observations:
- State Transition Callbacks
Unused Callbacks: The configuration provides callbacks for OnHalfOpen and OnClose, yet these are never invoked in the middleware. In the current implementation, when a request is rejected (due to being in an open or halfβopen state), only the OnOpen callback is called. This omission means you lose the opportunity to differentiate the responses between a circuit thatβs truly βopenβ versus one thatβs βhalf-openβ (i.e. recovering). Recommendation: Invoke OnHalfOpen when a request is rejected due to the halfβopen state (for example, when the half-open semaphore is full) and consider if/when to call OnClose during a successful state transition.
Semantic Clarity: Callbacks like OnClose could be used to perform side effects (e.g., logging, metrics, cleanup) when the circuit transitions back to the closed state. Not using them means part of your intended configuration API remains unutilized.
- Concurrency and Atomicity
Mixed Concurrency Primitives: The implementation uses both atomics (for failureCount and successCount) and a mutex (for state transitions). While this can work, mixing atomic operations with mutex locking can be error-prone and may lead to subtle race conditions if not handled carefully. Recommendation: Either fully encapsulate the counter updates and state transitions under a mutex or rely entirely on atomic operations with proper synchronization (for example, using CAS loops) to simplify reasoning about concurrent state.
Half-Open Semaphore Usage: The semaphore is implemented as a buffered channel of size 1 to allow only a single request in the half-open state. While this is a valid approach to limit concurrent trials, it might be too restrictive if youβd like to allow a few trial requests. Recommendation: Consider parameterizing the semaphore capacity via configuration if you want more flexibility in controlling the number of trial requests.
- Polling for State Transition
Monitor Goroutine: A dedicated goroutine polls every second to check if the open state has expired, transitioning to half-open when appropriate. Although this works, it introduces a latency (up to one second) between the actual timeout expiry and the state transition. Recommendation: If more precision is required, you might consider checking the expiry inline in AllowRequest() or using a timer-based approach that fires exactly when needed instead of polling every second.
- Failure/Success Reporting
Error Handling Logic: In the middleware, failures are determined solely by an error returned from c.Next() or an HTTP status code of 500 and above. This might be too coarse for some applications where business logic errors (such as a 4xx response with a meaningful failure) should also trigger the breaker. Recommendation: Consider making the failure criteria configurable so that users can define what constitutes a failure based on their domain requirements.
State Reset Logic: The counters for failures and successes are reset on state transitions. This is generally acceptable, but note that:
In ReportFailure, when in the half-open state, the failure immediately transitions to open without resetting the success counter.
In ReportSuccess, if the success threshold is met in the half-open state, the state changes to closed. Ensure that the reset logic is exactly what you want for your recovery policy.
- Design and API Considerations
Callback Placement: The middleware immediately invokes the OnOpen callback if a request isnβt allowed. However, given that half-open is a transient state, it might be clearer to have a different handling strategy or message for half-open rejections (using the dedicated OnHalfOpen callback). Recommendation: Differentiate between open and half-open responses in the middleware so that clients have a better understanding of the system state.
Testing Aids: The use of a now function to obtain the current time is a good practice for testing. Ensure that this is thoroughly used in tests to simulate state transitions.
Documentation and Comments: While there are basic comments, more detailed documentation (especially around the state transitions and concurrency model) would help maintainers understand the rationale behind using both atomics and a mutex. More explicit comments about why certain design decisions were made (such as the polling interval) would also be beneficial.
- Overall Observations
Robustness: The overall structure is sound and follows the general circuit breaker pattern. However, the unused callbacks and mixed concurrency primitives indicate areas where the design could be both simplified and made more flexible.
Flexibility: Consider exposing more parameters via the configuration (like the half-open concurrency limit or custom failure criteria) to allow users to adapt the breaker behavior to their specific use cases.
Potential Enhancements:
Integrate metrics for state transitions and counts.
Document the expected behavior in corner cases (e.g., what happens if multiple failures occur in rapid succession).
Allow for a manual reset mechanism if needed for operational reasons.
Conclusion
- The implementation is a good starting point but could benefit from:
- Better utilization of the provided callback hooks.
- A more consistent approach to concurrency (either atomic or mutex-based).
- More precise control over state transitions without relying solely on polling.
- Expanded configurability regarding what constitutes a failure and the number of trial requests in half-open.
@gaby @ReneWerner87 made all necessary changes let me know any further changes need to be done
@sixcolors @efectn please review
@MitulShah1 We didnt forget about the PR. We are discussing internally wether to keep it here or move this to gofiber/fiber since it has no external dependencies.
@MitulShah1 We didnt forget about the PR. We are discussing internally wether to keep it here or move this to
gofiber/fibersince it has no external dependencies.
let's keep it in contrib for now and transfer it later if necessary