alibaba/Sentinel
Sentinel
Sentinel is a microservice flow control framework designed for managing traffic limits, distributed circuit breaking, and adaptive overload protection. It serves as a traffic shaping component that defines resource boundaries to regulate request flow and ensure reliability across distributed systems.
The project provides a real-time monitoring dashboard for tracking resource metrics and performance bottlenecks across service clusters. It includes a visual interface for the real-time management of flow control and circuit breaking rules, allowing parameters to be updated without restarting the application.
The framework covers a broad set of resilience capabilities, including cascading failure prevention, system capacity protection, and resource failure handling via fallback mechanisms. It also incorporates service instance discovery and performance monitoring to identify bottlenecks across cloud native services.
Features
- Microservices Orchestration Frameworks - Provides a framework for managing traffic limits, circuit breaking, and adaptive overload protection in distributed systems.
- Traffic Control - Limits the number of requests a service processes to prevent overload and maintain stability during spikes.
- Circuit Breakers - Automatically stops requests to failing downstream services to prevent cascading failures across microservices.
- Traffic Shaping - Defines resource boundaries and applies real-time rules to regulate the flow of requests to backend services.
- Cascading Failure Preventions - Implements circuit breaking to automatically stop requests to unreliable downstream services to protect overall system availability.
- Resilient Architecture - Defines resource boundaries and fallback mechanisms to maintain reliability in microservices architectures.
- Service Overload Protections - Implements adaptive concurrency limits and load shedding to prevent system crashes under heavy traffic.
- Circuit Breaking States - Transitions service states between closed, open, and half-open based on error rates or slow-call proportions.
- Traffic Flow Control - Provides flow control capabilities to limit request volume and maintain service stability under heavy load.
- Cloud Native Service Managers - Tracks real-time performance metrics and resource usage across distributed clusters to identify bottlenecks.
- Dynamic Rule Management - Allows updating traffic control parameters at runtime via centralized configuration pushes without restarting the application.
- Cluster Discovery Mechanisms - Provides mechanisms for distributed nodes to automatically identify and group themselves by application identity.
- Real-Time Rule Management - Enables the creation and real-time update of flow control and circuit breaking rules without restarting the application.
- Dynamic Service Discovery - Identifies and groups active machines by application name for centralized visibility of distributed systems.
- Error Handling - Redirects throttled or failed requests to predefined fallback logic to ensure graceful service degradation.
- Fallback Mechanisms - Provides fallback mechanisms to redirect failed or throttled requests to alternative logic for graceful degradation.
- Resource Boundary Definitions - Allows marking specific methods as resources to enable granular traffic tracking and failure handling.
- Metric and Performance Monitors - Tracks runtime metrics for individual machines and aggregated clusters to locate performance regressions.
- Real-Time Monitoring Dashboards - Ships a real-time visual interface for tracking resource metrics and performance bottlenecks across service clusters.
- Real-Time Monitoring Systems - Collects high-frequency request data into time-window buckets for low-latency system performance monitoring.
- Resource Metrics - Tracks real-time performance and resource usage across machines or clusters to identify system bottlenecks.
- Resource Visualization Dashboards - Provides a graphical interface for the real-time management of flow control and circuit breaking rules.
- Reliability And Chaos - Flow control component for microservice resilience and monitoring.
- Microservices - Flow control for microservice reliability and resilience.
- Web Application Exploits - Security research and testing tools for microservices.
