Pitchfork lifts Zipkin tracing data into Haystack.
You can find more detailed documentation at expediagroup.github.io/pitchfork.
Haystack is an Expedia backed project to facilitate detection and remediation of problems with enterprise-level web services and websites. Much like Zipkin, its primary goal is to provide an easy to use UI to analyse distributed tracing data, but it offers other features like trend analysis or adaptive alerting.
Zipkin is the de facto standard for distributed tracing. We understand that migrating to a new system can be difficult and you may want to go back. Pitchfork can help you with this.
To build Pitchfork you need to have Java 15+ and Docker installed. Maven is optional as you can use the Maven Wrapper.
To compile and run unit tests (Linux or Mac):
./mvnw clean verify
or (Windows):
./mvnw.cmd clean verify
To package:
./mvnw clean install
To build a Docker image named expediagroup/pitchfork:
docker build -t expediagroup/pitchfork .
Alternatively we also provide a makefile that you can use to run the tests or build a docker image for Pitchfork:
make test
or
make build
The preferred way to run Pitchfork is via Docker.
docker run -p 9411:9411 expediagroup/pitchfork:latest
You can override the default properties with environment variables (macro case or screaming upper case), for example:
docker run -p 9411:9411 -e PITCHFORK_FORWARDERS_LOGGING_ENABLED=true expediagroup/pitchfork:latest
You can also run it as a normal Java application:
java -jar pitchfork.jar
Or as a Spring Boot application:
mvn spring-boot:run
You can find more info on how to configure Pitchfork in our documentation page, including how to install it using alternative methods like Helm.
Pitchfork acts as a collector and forwarder of tracing data. If you are currently using Zipkin you don't need to do code changes to your service. You can simply change your exporter to use a new endpoint and report the traces to Pitchfork instead of Zipkin. Pitchfork accepts Zipkin spans in json v1 and v2, thrift and protobuf. You can also configure this application to consume Zipkin spans from a Kafka broker.
Pitchfork can be configured to forward incoming spans to: a Zipkin collector; Haystack (using Kafka or Kinesis as a message bus); a logger that just prints the traces as they are received.
[ Service A ] ------ ------> [ Haystack / Kafka ]
\ /
------> [ Pitchfork ] ------
/ \
[ Service B ] ------ ------> [ Zipkin ]
These different forwarders can be enabled/disabled separately. Please see the application.yml file for a list of the different configurations available for each, or refer to the table above with the list of properties you can configure.
- Hotels.com - Microservices architecture using stock Zipkin data and libraries (Spring Cloud Sleuth, Brave, etc.) that report to Pitchfork which handles the integration with Haystack.
Please refer to our CONTRIBUTING file.
This project is licensed under the Apache License v2.0 - see the LICENSE file for details.