////
DO NOT EDIT THIS FILE. IT WAS GENERATED.
Manual changes to this file will be lost when it is generated again.
Edit the files in the src/main/asciidoc/ directory instead.
////

:jdkversion: 1.8
:github-tag: master
:github-repo: spring-cloud/spring-cloud-sleuth

:github-raw: https://raw.githubusercontent.com/{github-repo}/{github-tag}
:github-code: https://github.com/{github-repo}/tree/{github-tag}

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== Spring Cloud Sleuth

Spring Cloud Sleuth is a distributed tracing tool for Spring Cloud. It borrows from https://research.google.com/pubs/pub36356.html[Dapper], https://github.com/openzipkin/zipkin[Zipkin], and https://htrace.incubator.apache.org/[HTrace].

=== Quick Start

Add sleuth to the classpath of a Spring Boot application (see "`<<sleuth-adding-project>>`" for Maven and Gradle examples), and you can see the correlation data being collected in logs, as long as you are logging requests.

For example, consider the following HTTP handler:

[source,java]
----
@RestController
public class DemoController {
  private static Logger log = LoggerFactory.getLogger(DemoController.class);
  @RequestMapping("/")
  public String home() {
    log.info("Handling home");
    ...
    return "Hello World";
  }
}
----

If you add that handler to a controller, you can see the calls to `home()` being traced in the logs and in Zipkin, if Zipkin is configured.

NOTE: Instead of logging the request in the handler explicitly, you
could set `logging.level.org.springframework.web.servlet.DispatcherServlet=DEBUG`.

NOTE: Set `spring.application.name=myService` (for instance) to see the service name as well as the trace and span IDs.

IMPORTANT: If you use Zipkin, configure the probability of spans exported by setting `spring.sleuth.sampler.probability`
(default: 0.1, which is 10 percent). Otherwise, you might think that Sleuth is not working be cause it omits some spans.

:branch: master

== Introduction

Spring Cloud Sleuth implements a distributed tracing solution for https://cloud.spring.io[Spring Cloud].

=== Terminology

Spring Cloud Sleuth borrows https://research.google.com/pubs/pub36356.html[Dapper's] terminology.

*Span*: The basic unit of work. For example, sending an RPC is a new span, as is sending a response to an RPC.
Spans are identified by a unique 64-bit ID for the span and another 64-bit ID for the trace the span is a part of.
Spans also have other data, such as descriptions, timestamped events, key-value annotations (tags), the ID of the span that caused them, and process IDs (normally IP addresses).

Spans can be started and stopped, and they keep track of their timing information.
Once you create a span, you must stop it at some point in the future.

TIP: The initial span that starts a trace is called a `root span`. The value of the ID
of that span is equal to the trace ID.

*Trace:* A set of spans forming a tree-like structure.
For example, if you run a distributed big-data store, a trace might be formed by a `PUT` request.

*Annotation:*  Used to record the existence of an event in time. With
https://github.com/openzipkin/brave[Brave] instrumentation, we no longer need to set special events
for https://zipkin.io/[Zipkin] to understand who the client and server are, where
the request started, and where it ended. For learning purposes,
however, we mark these events to highlight what kind
of an action took place.

* *cs*: Client Sent. The client has made a request. This annotation indicates the start of the span.
* *sr*: Server Received: The server side got the request and started processing it.
Subtracting the `cs` timestamp from this timestamp reveals the network latency.
* *ss*: Server Sent. Annotated upon completion of request processing (when the response got sent back to the client).
Subtracting the `sr` timestamp from this timestamp reveals the time needed by the server side to process the request.
* *cr*: Client Received. Signifies the end of the span.
The client has successfully received the response from the server side.
Subtracting the `cs` timestamp from this timestamp reveals the whole time needed by the client to receive the response from the server.

The following image shows how *Span* and *Trace* look in a system, together with the Zipkin annotations:

image::https://raw.githubusercontent.com/spring-cloud/spring-cloud-sleuth/{branch}/docs/src/main/asciidoc/images/trace-id.png[Trace Info propagation]

Each color of a note signifies a span (there are seven spans - from *A* to *G*).
Consider the following note:

[source]
Trace Id = X
Span Id = D
Client Sent

This note indicates that the current span has *Trace Id* set to *X* and *Span Id* set to *D*.
Also, the `Client Sent` event took place.

The following image shows how parent-child relationships of spans look:

image::https://raw.githubusercontent.com/spring-cloud/spring-cloud-sleuth/{branch}/docs/src/main/asciidoc/images/parents.png[Parent child relationship]

=== Purpose

The following sections refer to the example shown in the preceding image.

==== Distributed Tracing with Zipkin

This example has seven spans.
If you go to traces in Zipkin, you can see this number in the second trace, as shown in the following image:

image::https://raw.githubusercontent.com/spring-cloud/spring-cloud-sleuth/{branch}/docs/src/main/asciidoc/images/zipkin-traces.png[Traces]

However, if you pick a particular trace, you can see four spans, as shown in the following image:

image::https://raw.githubusercontent.com/spring-cloud/spring-cloud-sleuth/{branch}/docs/src/main/asciidoc/images/zipkin-ui.png[Traces Info propagation]

NOTE: When you pick a particular trace, you see merged spans.
That means that, if there were two spans sent to Zipkin with Server Received and Server Sent or Client Received and Client Sent annotations, they are presented as a single span.

Why is there a difference between the seven and four spans in this case?

* One span comes from the `http:/start` span. It has the Server Received (`sr`) and Server Sent (`ss`) annotations.
* Two spans come from the RPC call from `service1` to `service2` to the `http:/foo` endpoint.
The Client Sent (`cs`) and Client Received (`cr`) events took place on the `service1` side.
Server Received (`sr`) and Server Sent (`ss`) events took place on the `service2` side.
These two spans form one logical span related to an RPC call.
* Two spans come from the RPC call from `service2` to `service3` to the `http:/bar` endpoint.
The Client Sent (`cs`) and Client Received (`cr`) events took place on the `service2` side.
The Server Received (`sr`) and Server Sent (`ss`) events took place on the `service3` side.
These two spans form one logical span related to an RPC call.
* Two spans come from the RPC call from `service2` to `service4` to the `http:/baz` endpoint.
The Client Sent (`cs`) and Client Received (`cr`) events took place on the `service2` side.
Server Received (`sr`) and Server Sent (`ss`) events took place on the `service4` side.
These two spans form one logical span related to an RPC call.

So, if we count the physical spans, we have one from `http:/start`, two from `service1` calling `service2`, two from `service2`
calling `service3`, and two from `service2` calling `service4`. In sum, we have a total of seven spans.

Logically, we see the information of four total Spans because we have one span related to the incoming request
to `service1` and three spans related to RPC calls.

==== Visualizing errors

Zipkin lets you visualize errors in your trace.
When an exception was thrown and was not caught, we set proper tags on the span, which Zipkin can then properly colorize.
You could see in the list of traces one trace that is red. That appears because an exception was thrown.

If you click that trace, you see a similar picture, as follows:

image::https://raw.githubusercontent.com/spring-cloud/spring-cloud-sleuth/{branch}/docs/src/main/asciidoc/images/zipkin-error-traces.png[Error Traces]

If you then click on one of the spans, you see the following

image::https://raw.githubusercontent.com/spring-cloud/spring-cloud-sleuth/{branch}/docs/src/main/asciidoc/images/zipkin-error-trace-screenshot.png[Error Traces Info propagation]

The span shows the reason for the error and the whole stack trace related to it.

==== Distributed Tracing with Brave

Starting with version `2.0.0`, Spring Cloud Sleuth uses https://github.com/openzipkin/brave[Brave] as the tracing library.
Consequently, Sleuth no longer takes care of storing the context but delegates that work to Brave.

Due to the fact that Sleuth had different naming and tagging conventions than Brave, we decided to follow Brave's conventions from now on.
However, if you want to use the legacy Sleuth approaches, you can set the `spring.sleuth.http.legacy.enabled` property to `true`.

==== Live examples

.Click the Pivotal Web Services icon to see it live!
[caption="Click the Pivotal Web Services icon to see it live!"]
image::https://raw.githubusercontent.com/spring-cloud/spring-cloud-sleuth/{branch}/docs/src/main/asciidoc/images/pws.png["Zipkin deployed on Pivotal Web Services", link="https://docssleuth-zipkin-server.cfapps.io/", width=150, height=74]
https://docssleuth-zipkin-server.cfapps.io/[Click here to see it live!]

The dependency graph in Zipkin should resemble the following image:

image::https://raw.githubusercontent.com/spring-cloud/spring-cloud-sleuth/{branch}/docs/src/main/asciidoc/images/dependencies.png[Dependencies]

.Click the Pivotal Web Services icon to see it live!
[caption="Click the Pivotal Web Services icon to see it live!"]
image::https://raw.githubusercontent.com/spring-cloud/spring-cloud-sleuth/{branch}/docs/src/main/asciidoc/images/pws.png["Zipkin deployed on Pivotal Web Services", link="https://docssleuth-zipkin-server.cfapps.io/dependency", width=150, height=74]
https://docssleuth-zipkin-server.cfapps.io/dependency[Click here to see it live!]

==== Log correlation

When using grep to read the logs of those four applications by scanning for a trace ID equal to (for example) `2485ec27856c56f4`, you get output resembling the following:

[source]
service1.log:2016-02-26 11:15:47.561  INFO [service1,2485ec27856c56f4,2485ec27856c56f4,true] 68058 --- [nio-8081-exec-1] i.s.c.sleuth.docs.service1.Application   : Hello from service1. Calling service2
service2.log:2016-02-26 11:15:47.710  INFO [service2,2485ec27856c56f4,9aa10ee6fbde75fa,true] 68059 --- [nio-8082-exec-1] i.s.c.sleuth.docs.service2.Application   : Hello from service2. Calling service3 and then service4
service3.log:2016-02-26 11:15:47.895  INFO [service3,2485ec27856c56f4,1210be13194bfe5,true] 68060 --- [nio-8083-exec-1] i.s.c.sleuth.docs.service3.Application   : Hello from service3
service2.log:2016-02-26 11:15:47.924  INFO [service2,2485ec27856c56f4,9aa10ee6fbde75fa,true] 68059 --- [nio-8082-exec-1] i.s.c.sleuth.docs.service2.Application   : Got response from service3 [Hello from service3]
service4.log:2016-02-26 11:15:48.134  INFO [service4,2485ec27856c56f4,1b1845262ffba49d,true] 68061 --- [nio-8084-exec-1] i.s.c.sleuth.docs.service4.Application   : Hello from service4
service2.log:2016-02-26 11:15:48.156  INFO [service2,2485ec27856c56f4,9aa10ee6fbde75fa,true] 68059 --- [nio-8082-exec-1] i.s.c.sleuth.docs.service2.Application   : Got response from service4 [Hello from service4]
service1.log:2016-02-26 11:15:48.182  INFO [service1,2485ec27856c56f4,2485ec27856c56f4,true] 68058 --- [nio-8081-exec-1] i.s.c.sleuth.docs.service1.Application   : Got response from service2 [Hello from service2, response from service3 [Hello from service3] and from service4 [Hello from service4]]

If you use a log aggregating tool (such as https://www.elastic.co/products/kibana[Kibana], https://www.splunk.com/[Splunk], and others), you can order the events that took place.
An example from Kibana would resemble the following image:

image::https://raw.githubusercontent.com/spring-cloud/spring-cloud-sleuth/{branch}/docs/src/main/asciidoc/images/kibana.png[Log correlation with Kibana]

If you want to use https://www.elastic.co/guide/en/logstash/current/index.html[Logstash], the following listing shows the Grok pattern for Logstash:

[source]
filter {
       # pattern matching logback pattern
       grok {
              match => { "message" => "%{TIMESTAMP_ISO8601:timestamp}\s+%{LOGLEVEL:severity}\s+\[%{DATA:service},%{DATA:trace},%{DATA:span},%{DATA:exportable}\]\s+%{DATA:pid}\s+---\s+\[%{DATA:thread}\]\s+%{DATA:class}\s+:\s+%{GREEDYDATA:rest}" }
       }
}

NOTE: If you want to use Grok together with the logs from Cloud Foundry, you have to use the following pattern:
[source]
filter {
       # pattern matching logback pattern
       grok {
              match => { "message" => "(?m)OUT\s+%{TIMESTAMP_ISO8601:timestamp}\s+%{LOGLEVEL:severity}\s+\[%{DATA:service},%{DATA:trace},%{DATA:span},%{DATA:exportable}\]\s+%{DATA:pid}\s+---\s+\[%{DATA:thread}\]\s+%{DATA:class}\s+:\s+%{GREEDYDATA:rest}" }
       }
}

===== JSON Logback with Logstash

Often, you do not want to store your logs in a text file but in a JSON file that Logstash can immediately pick.
To do so, you have to do the following (for readability, we pass the dependencies in the `groupId:artifactId:version` notation).

*Dependencies Setup*

. Ensure that Logback is on the classpath (`ch.qos.logback:logback-core`).
. Add Logstash Logback encode. For example, to use version `4.6`, add `net.logstash.logback:logstash-logback-encoder:4.6`.

*Logback Setup*

Consider the following example of a Logback configuration file (named https://github.com/spring-cloud-samples/sleuth-documentation-apps/blob/master/service1/src/main/resources/logback-spring.xml[logback-spring.xml]).

[source,xml]
-----
Unresolved directive in intro.adoc - include::https://raw.githubusercontent.com/spring-cloud-samples/sleuth-documentation-apps/master/service1/src/main/resources/logback-spring.xml[]

That Logback configuration file:

* Logs information from the application in a JSON format to a `build/${spring.application.name}.json` file.
* Has commented out two additional appenders: console and standard log file.
* Has the same logging pattern as the one presented in the previous section.

NOTE: If you use a custom `logback-spring.xml`, you must pass the `spring.application.name` in the  `bootstrap` rather than the `application` property file.
Otherwise, your custom logback file does not properly read the property.

==== Propagating Span Context

The span context is the state that must get propagated to any child spans across process boundaries.
Part of the Span Context is the Baggage. The trace and span IDs are a required part of the span context.
Baggage is an optional part.

Baggage is a set of key:value pairs stored in the span context.
Baggage travels together with the trace and is attached to every span.
Spring Cloud Sleuth understands that a header is baggage-related if the HTTP header is prefixed with `baggage-` and, for messaging, it starts with `baggage_`.

IMPORTANT: There is currently no limitation of the count or size of baggage items.
However, keep in mind that too many can decrease system throughput or increase RPC latency.
In extreme cases, too much baggage can crash the application, due to exceeding transport-level message or header capacity.

The following example shows setting baggage on a span:

[source,java]
----
Unresolved directive in intro.adoc - include::https://raw.githubusercontent.com/spring-cloud/spring-cloud-sleuth/master/spring-cloud-sleuth-core/src/test/java/org/springframework/cloud/sleuth/instrument/multiple/MultipleHopsIntegrationTests.java[tags=baggage,indent=0]
----

===== Baggage versus Span Tags

Baggage travels with the trace (every child span contains the baggage of its parent).
Zipkin has no knowledge of baggage and does not receive that information.

IMPORTANT: Starting from Sleuth 2.0.0 you have to pass the baggage key names explicitly
in your project configuration. Read more about that setup <<prefixed-fields,here>>

Tags are attached to a specific span. In other words, they are presented only for that particular span.
However, you can search by tag to find the trace, assuming a span having the searched tag value exists.

If you want to be able to lookup a span based on baggage, you should add a corresponding entry as a tag in the root span.

IMPORTANT: The span must be in scope.

The following listing shows integration tests that use baggage:

.The setup
[source,yml]
----
Unresolved directive in intro.adoc - include::https://raw.githubusercontent.com/spring-cloud/spring-cloud-sleuth/master/spring-cloud-sleuth-core/src/test/resources/application-baggage.yml[indent=0]

.The code
[source,java]
----
Unresolved directive in intro.adoc - include::https://raw.githubusercontent.com/spring-cloud/spring-cloud-sleuth/master/spring-cloud-sleuth-core/src/test/java/org/springframework/cloud/sleuth/instrument/multiple/MultipleHopsIntegrationTests.java[tags=baggage_tag,indent=0]
----

[[sleuth-adding-project]]
=== Adding Sleuth to the Project

This section addresses how to add Sleuth to your project with either Maven or Gradle.

IMPORTANT: To ensure that your application name is properly displayed in Zipkin, set the `spring.application.name` property in `bootstrap.yml`.

==== Only Sleuth (log correlation)

If you want to use only Spring Cloud Sleuth without the Zipkin integration, add the `spring-cloud-starter-sleuth` module to your project.

The following example shows how to add Sleuth with Maven:

[source,xml,indent=0,subs="verbatim,attributes",role="primary"]
.Maven
----
    <dependencyManagement> <1>
          <dependencies>
              <dependency>
                  <groupId>org.springframework.cloud</groupId>
                  <artifactId>spring-cloud-dependencies</artifactId>
                  <version>${release.train.version}</version>
                  <type>pom</type>
                  <scope>import</scope>
              </dependency>
          </dependencies>
    </dependencyManagement>

    <dependency> <2>
        <groupId>org.springframework.cloud</groupId>
        <artifactId>spring-cloud-starter-sleuth</artifactId>
    </dependency>
----
<1> We recommend that you add the dependency management through the Spring BOM so that you need not manage versions yourself.
<2> Add the dependency to `spring-cloud-starter-sleuth`.

The following example shows how to add Sleuth with Gradle:

[source,groovy,indent=0,subs="verbatim,attributes",role="secondary"]
.Gradle
----
dependencyManagement { <1>
    imports {
        mavenBom "org.springframework.cloud:spring-cloud-dependencies:${releaseTrainVersion}"
    }
}

dependencies { <2>
    compile "org.springframework.cloud:spring-cloud-starter-sleuth"
}
----
<1> We recommend that you add the dependency management through the Spring BOM so that you need not manage versions yourself.
<2> Add the dependency to `spring-cloud-starter-sleuth`.

==== Sleuth with Zipkin via HTTP

If you want both Sleuth and Zipkin, add the `spring-cloud-starter-zipkin` dependency.

The following example shows how to do so for Maven:

[source,xml,indent=0,subs="verbatim,attributes",role="primary"]
.Maven
----
    <dependencyManagement> <1>
          <dependencies>
              <dependency>
                  <groupId>org.springframework.cloud</groupId>
                  <artifactId>spring-cloud-dependencies</artifactId>
                  <version>${release.train.version}</version>
                  <type>pom</type>
                  <scope>import</scope>
              </dependency>
          </dependencies>
    </dependencyManagement>

    <dependency> <2>
        <groupId>org.springframework.cloud</groupId>
        <artifactId>spring-cloud-starter-zipkin</artifactId>
    </dependency>
----
<1> We recommend that you add the dependency management through the Spring BOM so that you need not manage versions yourself.
<2> Add the dependency to `spring-cloud-starter-zipkin`.

The following example shows how to do so for Gradle:

[source,groovy,indent=0,subs="verbatim,attributes",role="secondary"]
.Gradle
----
dependencyManagement { <1>
    imports {
        mavenBom "org.springframework.cloud:spring-cloud-dependencies:${releaseTrainVersion}"
    }
}

dependencies { <2>
    compile "org.springframework.cloud:spring-cloud-starter-zipkin"
}
----
<1> We recommend that you add the dependency management through the Spring BOM so that you need not manage versions yourself.
<2> Add the dependency to `spring-cloud-starter-zipkin`.

==== Sleuth with Zipkin over RabbitMQ or Kafka

If you want to use RabbitMQ or Kafka instead of HTTP, add the `spring-rabbit` or `spring-kafka` dependency.
The default destination name is `zipkin`.

If using Kafka, you must set the property `spring.zipkin.sender.type` property accordingly:

[source,yaml]
----
spring.zipkin.sender.type: kafka
----

CAUTION: `spring-cloud-sleuth-stream` is deprecated and incompatible with these destinations.

If you want Sleuth over RabbitMQ, add the `spring-cloud-starter-zipkin` and `spring-rabbit`
dependencies.

The following example shows how to do so for Gradle:

[source,xml,indent=0,subs="verbatim,attributes",role="primary"]
.Maven
----
    <dependencyManagement> <1>
          <dependencies>
              <dependency>
                  <groupId>org.springframework.cloud</groupId>
                  <artifactId>spring-cloud-dependencies</artifactId>
                  <version>${release.train.version}</version>
                  <type>pom</type>
                  <scope>import</scope>
              </dependency>
          </dependencies>
    </dependencyManagement>

    <dependency> <2>
        <groupId>org.springframework.cloud</groupId>
        <artifactId>spring-cloud-starter-zipkin</artifactId>
    </dependency>
    <dependency> <3>
        <groupId>org.springframework.amqp</groupId>
        <artifactId>spring-rabbit</artifactId>
    </dependency>
----
<1> We recommend that you add the dependency management through the Spring BOM so that you need not manage versions yourself.
<2> Add the dependency to `spring-cloud-starter-zipkin`. That way, all nested dependencies get downloaded.
<3> To automatically configure RabbitMQ, add the `spring-rabbit` dependency.

[source,groovy,indent=0,subs="verbatim,attributes",role="secondary"]
.Gradle
----
dependencyManagement { <1>
    imports {
        mavenBom "org.springframework.cloud:spring-cloud-dependencies:${releaseTrainVersion}"
    }
}

dependencies {
    compile "org.springframework.cloud:spring-cloud-starter-zipkin" <2>
    compile "org.springframework.amqp:spring-rabbit" <3>
}
----
<1> We recommend that you add the dependency management through the Spring BOM so that you need not manage versions yourself.
<2> Add the dependency to `spring-cloud-starter-zipkin`. That way, all nested dependencies get downloaded.
<3> To automatically configure RabbitMQ, add the `spring-rabbit` dependency.

=== Overriding the auto-configuration of Zipkin

Spring Cloud Sleuth supports sending traces to multiple tracing systems as of version 2.1.0.
In order to get this to work, every tracing system needs to have a `Reporter<Span>` and `Sender`.
If you want to override the provided beans you need to give them a specific name.
To do this you can use respectively `ZipkinAutoConfiguration.REPORTER_BEAN_NAME` and `ZipkinAutoConfiguration.SENDER_BEAN_NAME`.

[source,java]
----

@Configuration
protected static class MyConfig {

    @Bean(ZipkinAutoConfiguration.REPORTER_BEAN_NAME)
    Reporter<zipkin2.Span> myReporter() {
        return AsyncReporter.create(mySender());
    }

    @Bean(ZipkinAutoConfiguration.SENDER_BEAN_NAME)
    MySender mySender() {
        return new MySender();
    }

    static class MySender extends Sender {

        private boolean spanSent = false;

        boolean isSpanSent() {
            return this.spanSent;
        }

        @Override
        public Encoding encoding() {
            return Encoding.JSON;
        }

        @Override
        public int messageMaxBytes() {
            return Integer.MAX_VALUE;
        }

        @Override
        public int messageSizeInBytes(List<byte[]> encodedSpans) {
            return encoding().listSizeInBytes(encodedSpans);
        }

        @Override
        public Call<Void> sendSpans(List<byte[]> encodedSpans) {
            this.spanSent = true;
            return Call.create(null);
        }

    }

}

----

== Additional Resources

You can watch a video of https://twitter.com/reshmi9k[Reshmi Krishna] and https://twitter.com/mgrzejszczak[Marcin Grzejszczak] talking about Spring Cloud
Sleuth and Zipkin https://content.pivotal.io/springone-platform-2017/distributed-tracing-latency-analysis-for-your-microservices-grzejszczak-krishna[by clicking here].

You can check different setups of Sleuth and Brave https://github.com/openzipkin/sleuth-webmvc-example[in the openzipkin/sleuth-webmvc-example repository].

== Features

* Adds trace and span IDs to the Slf4J MDC, so you can extract all the logs from a given trace or span in a log aggregator, as shown in the following example logs:
+
----
2016-02-02 15:30:57.902  INFO [bar,6bfd228dc00d216b,6bfd228dc00d216b,false] 23030 --- [nio-8081-exec-3] ...
2016-02-02 15:30:58.372 ERROR [bar,6bfd228dc00d216b,6bfd228dc00d216b,false] 23030 --- [nio-8081-exec-3] ...
2016-02-02 15:31:01.936  INFO [bar,46ab0d418373cbc9,46ab0d418373cbc9,false] 23030 --- [nio-8081-exec-4] ...
----
+
Notice the `[appname,traceId,spanId,exportable]` entries from the MDC:

** *`spanId`*: The ID of a specific operation that took place.
** *`appname`*: The name of the application that logged the span.
** *`traceId`*: The ID of the latency graph that contains the span.
** *`exportable`*: Whether the log should be exported to Zipkin.
When would you like the span not to be exportable?
When you want to wrap some operation in a Span and have it written to the logs only.

* Provides an abstraction over common distributed tracing data models: traces, spans (forming a DAG), annotations, and key-value annotations.
Spring Cloud Sleuth is loosely based on HTrace but is compatible with Zipkin (Dapper).

* Sleuth records timing information to aid in latency analysis.
By using sleuth, you can pinpoint causes of latency in your applications.

* Sleuth is written to not log too much and to not cause your production application to crash.
To that end, Sleuth:
** Propagates structural data about your call graph in-band and the rest out-of-band.
** Includes opinionated instrumentation of layers such as HTTP.
** Includes a sampling policy to manage volume.
** Can report to a Zipkin system for query and visualization.

* Instruments common ingress and egress points from Spring applications (servlet filter, async endpoints, rest template, scheduled actions, message channels, Zuul filters, and Feign client).

* Sleuth includes default logic to join a trace across HTTP or messaging boundaries.
For example, HTTP propagation works over Zipkin-compatible request headers.

* Sleuth can propagate context (also known as baggage) between processes.
Consequently, if you set  a baggage element on a Span, it is sent downstream to other processes over either HTTP or messaging.

* Provides a way to create or continue spans and add tags and logs through annotations.

* If `spring-cloud-sleuth-zipkin` is on the classpath, the app generates and collects Zipkin-compatible traces.
By default, it sends them over HTTP to a Zipkin server on localhost (port 9411).
You can configure the location of the service by setting `spring.zipkin.baseUrl`.
** If you depend on `spring-rabbit`, your app sends traces to a RabbitMQ broker instead of HTTP.
** If you depend on `spring-kafka`, and set `spring.zipkin.sender.type: kafka`, your app sends traces to a Kafka broker instead of HTTP.

CAUTION: `spring-cloud-sleuth-stream` is deprecated and should no longer be used.

* Spring Cloud Sleuth is https://opentracing.io/[OpenTracing] compatible.

IMPORTANT: If you use Zipkin, configure the probability of spans exported by setting `spring.sleuth.sampler.probability`
(default: 0.1, which is 10 percent). Otherwise, you might think that Sleuth is not working be cause it omits some spans.

NOTE: The SLF4J MDC is always set and logback users immediately see the trace and span IDs in logs per the example
shown earlier.
Other logging systems have to configure their own formatter to get the same result.
The default is as follows:
`logging.pattern.level` set to `%5p [${spring.zipkin.service.name:${spring.application.name:-}},%X{X-B3-TraceId:-},%X{X-B3-SpanId:-},%X{X-Span-Export:-}]`
(this is a Spring Boot feature for logback users).
If you do not use SLF4J, this pattern is NOT automatically applied.

== Building

Unresolved directive in README.adoc - include::https://raw.githubusercontent.com/spring-cloud/spring-cloud-build/master/docs/src/main/asciidoc/building.adoc[]
IMPORTANT: Spring Cloud Sleuth uses two different versions of language level. Java 1.7 is used for main sources, and
Java 1.8 is used for tests. When importing your project to an IDE, you should activate the `ide` Maven profile to turn on
Java 1.8 for both main and test sources. You MUST NOT use Java 1.8 features in the main sources. If you do
so, your app breaks during the Maven build.

== Contributing

Unresolved directive in README.adoc - include::https://raw.githubusercontent.com/spring-cloud/spring-cloud-build/master/docs/src/main/asciidoc/contributing.adoc[]