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alibaba/sentinel

📈 Trending23,113JavaAudience · developerComplexity · 3/5ActiveLicenseSetup · easy

TLDR

Java library that protects microservices from traffic overload by enforcing rate limits, circuit breaking, and load shedding rules in real time.

Mindmap

mindmap
  root((Sentinel))
    What it does
      Rate limiting
      Circuit breaking
      Load shedding
      Real-time dashboard
    How it works
      Wraps code sections
      Enforces traffic rules
      Blocks excess requests
      Updates rules live
    Use cases
      Flash sales
      API traffic spikes
      Downstream failures
      High-load systems
    Tech stack
      Java
      Spring Cloud
      Apache Dubbo
    Audience
      Backend engineers
      DevOps teams
      Microservice architects

Things people build with this

USE CASE 1

Protect backend services from traffic spikes during flash sales or viral events.

USE CASE 2

Prevent cascading failures when a downstream API or database becomes slow or unavailable.

USE CASE 3

Enforce rate limits on critical endpoints to ensure fair resource allocation across clients.

USE CASE 4

Monitor real-time traffic patterns and adjust protection rules without restarting your application.

Tech stack

JavaSpring CloudApache Dubbo

Getting it running

Difficulty · easy Time to first run · 5min
Use freely for any purpose, including commercial use, as long as you keep the copyright notice and license text.

In plain English

Sentinel is a Java library from Alibaba that protects microservices from being overwhelmed by traffic. In a world where software is built from many small services talking to each other, a single slow or failing service can cause a chain reaction that brings down the whole system. Sentinel stops that from happening. It works by acting as a traffic cop around pieces of your code. You wrap critical sections with Sentinel's API, then set rules that define limits, for example, allow at most 20 requests per second, or stop calling a downstream service if it is failing too often. When traffic exceeds those limits, Sentinel blocks or slows down excess requests, protecting the system from overload. This is sometimes called rate limiting, circuit breaking, or load shedding. Sentinel also includes a real-time dashboard where you can see how many requests are passing and how many are being blocked, and update rules on the fly without restarting your application. You would use this if you are building or maintaining Java-based backend services that need to stay reliable under high or unpredictable traffic, for example, during flash sales, API spikes, or when dependent services become unreliable. It integrates with Spring Cloud, Apache Dubbo, and other common Java frameworks. It was battle-tested by Alibaba during their Double-11 shopping festival.

Copy-paste prompts

Prompt 1
Show me how to add Sentinel rate limiting to a Spring Boot REST endpoint that handles user sign-ups.
Prompt 2
How do I configure Sentinel circuit breaking to stop calling a failing payment service and return a fallback response?
Prompt 3
Walk me through setting up the Sentinel dashboard to monitor and update traffic rules for my microservices in real time.
Prompt 4
What's the simplest way to integrate Sentinel into an existing Java microservice using Apache Dubbo?
Prompt 5
How do I test Sentinel's load shedding behavior under high traffic in a local environment?
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Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.