See the 中文 for readme.
See the Wiki for full documentation, examples, operational details and other information.
See the Javadoc for the API.
As distributed systems become increasingly popular, the stability between services is becoming more important than ever before. Sentinel takes "flow" as breakthrough point, and works on multiple fields including flow control, concurrency, circuit breaking, load protection, to protect service stability.
Sentinel has the following features:
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Rich applicable scenarios: Sentinel has been wildly used in Alibaba, and has covered almost all the core-scenarios in Double -11 Shopping Festivals in the past 10 years, such as “Second Kill” which needs to limit burst flow traffic to meet the system capacity, message peak clipping and valley fills, degrading un reliable downstream applications, etc.
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Integrated monitor module: Sentinel also provides real-time monitoring function. You can see the runtime information of a single machine in real-time, and the summary runtime info of a cluster with less than 500 nodes.
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Easy extension point: Sentinel provides easy-to-use extension points that allow you to quickly customize your logic, for example, custom rule management, adapting data sources, and so on.
Below is a simple demo that guides new users to use Sentinel in just 3 steps. It also shows how to monitor this demo using the dashboard.
Note: Sentinel requires Java 6 or later.
If your application is build in maven, just add the following code in pom.xml.
<dependency>
<groupId>com.alibaba.csp</groupId>
<artifactId>sentinel-core</artifactId>
<version>x.y.z</version>
</dependency>If not, you can download JAR in maven.
Wrap code snippet via Sentinel API: SphU.entry("RESOURCENAME") and entry.exit(). In below example, it is System.out.println("hello world");
Entry entry = null;
try {
entry = SphU.entry("HelloWorld");
// BIZ logic being protected
System.out.println("hello world");
} catch (BlockException e) {
// handle block logic
} finally {
// make sure that the exit() logic is called
if (entry != null) {
entry.exit();
}
}So far the code modification is done.
If we want to limit the access times of the resource, we can define rules. The following code defines a rule that limits access to the reource to 20 times per second at the maximum.
List<FlowRule> rules = new ArrayList<FlowRule>();
FlowRule rule = new FlowRule();
rule.setResource("hello world");
// set limit qps to 20
rule.setCount(20);
rules.add(rule);
FlowRuleManager.loadRules(rules);After running the demo for a while, you can see the following records in [user dir]\csp\logs\${appName}-metrics.log.xxx.
|--timestamp-|------date time----|--resource-|p |block|s |e|rt
1529998904000|2018-06-26 15:41:44|hello world|20|0 |20|0|0
1529998905000|2018-06-26 15:41:45|hello world|20|5579 |20|0|728
1529998906000|2018-06-26 15:41:46|hello world|20|15698|20|0|0
1529998907000|2018-06-26 15:41:47|hello world|20|19262|20|0|0
1529998908000|2018-06-26 15:41:48|hello world|20|19502|20|0|0
1529998909000|2018-06-26 15:41:49|hello world|20|18386|20|0|0
p stands for incoming request, block for intercepted by rules, success for success handled, e for exception, rt for average response time(ms)
This shows that the demo can print "hello world" 20 times per second.
More examples and information can be found in the How To Use section.
The working principles of Sentinel can be found in How it works
Samples can be found in the demo module.
Sentinel also provides a simple dashboard, on which you can monitor the clients and configure the rules in real time.
For details please refer to Dashboard.
Sentinel will generate logs for troubleshooting. All the information can be found in logs.
To report bugs, questions and discussions please submit GitHub Issues.
Contact us: sentinel@linux.alibaba.com