alibaba/sentinel

A powerful flow control component enabling reliability, resilience and monitoring for microservices. (面向云原生微服务的高可用流控防护组件)

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Summary Information

Updated 46 seconds ago
Added to GitGenius on September 2nd, 2026
Created on April 4th, 2018
Open Issues & Pull Requests: 866 (+0)
GitHub issues: Enabled
Number of forks: 8,138
Total Stargazers: 23,145 (+0)
Total Subscribers: 766 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.9 days
Mean response time: 109.5 days
90th percentile: 259.1 days
Tracked items: 133

Most active contributors

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How this project is maintained

Around half of the issues opened in the past year never receive a reply. 96% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 4% of issues opened in the past year have been closed.

Charts & Analytics

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Issue Activity (beta)

Open issues: 114
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 810 days
Stale 30+ days: 108
Stale 90+ days: 97

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 1
Events in 7 days: 1

Top labels

  • kind/question (14)
  • good first issue (9)
  • kind/bug (9)
  • area/dashboard (8)
  • area/integrations (8)
  • area/circuit-breaking (7)
  • kind/feature (7)
  • area/gateway-flow-control (5)

Detailed Description

Sentinel is a flow control and circuit-breaker library that protects microservices from overload and cascading failures through rate limiting, concurrency control, and adaptive throttling.

The tool addresses the challenge of maintaining system stability when microservices face traffic spikes, resource exhaustion, or downstream service degradation. It works by intercepting requests and applying configurable rules that can limit traffic based on QPS thresholds, concurrent thread counts, or system metrics like CPU and memory usage. When limits are exceeded, requests are either queued, throttled, or rejected according to the configured strategy. The library also provides circuit-breaking capabilities to fail fast when a service becomes unhealthy, preventing resource waste on doomed requests.

Sentinel suits teams building cloud-native microservice architectures where isolation and fault tolerance are critical. It is particularly valuable in Java environments where services need protection without requiring external infrastructure like a dedicated gateway or service mesh. The tool integrates directly into application code and offers real-time monitoring dashboards to observe traffic patterns and rule effectiveness. Teams should adopt it when they need fine-grained, application-level control over traffic behavior and want to avoid the operational complexity of managing separate flow control infrastructure.

The project maintains active development with regular updates addressing bug fixes and feature enhancements. The codebase shows consistent refinement of core flow control algorithms and monitoring capabilities. Documentation and examples receive ongoing attention to support adoption across different deployment scenarios. The project demonstrates responsiveness to issues and pull requests, indicating sustained engagement with its user community.