This repository is archived as it has been folded into https://github.com/openzipkin/zipkin/tree/master/docker
This repository contains the Docker build definition and release process for Zipkin Server. It also contains test images for transport and storage backends such as Kafka or Cassandra.
Regarding production usage
The only images OpenZipkin provides for production use are:
- openzipkin/zipkin: The core server image that hosts the Zipkin UI, Api and Collector features.
- openzipkin/zipkin-slim: The stripped server image that hosts the Zipkin UI and Api features, but only supports in-memory or Elasticsearch storage with HTTP or gRPC span collectors.
- openzipkin/zipkin-dependencies: pre-aggregates data such that http://your_host:9411/dependency shows links between services.
If you are using these images and run into problems, please raise an issue or join gitter.
The other images here, and docker-compose, are for development and exploration purposes. For example, they aim to help you integrate an entire zipkin system for testing purposes, without having to understand how everything works, and without having to download gigabytes of files.
openzipkin/zipkin-cassandra was not designed for real usage.
You'll notice it has no configuration available to run more than one node
sensibly, neither does it handle file systems as one would "in real life". We
expect production users to use canonical images for storage or transports like
Kafka, and only those testing or learning zipkin to use the ones we have here.
Zipkin has no dependencies, for example you can run an in-memory zipkin server like so:
docker run -d -p 9411:9411 openzipkin/zipkin-slim
See the ui at (docker ip):9411
In the ui - click zipkin-server, then click "Find Traces".
Configuration is via environment variables, defined by zipkin-server. Notably, you'll want to look at the
STORAGE_TYPE environment variables, which
include "cassandra", "mysql" and "elasticsearch".
openzipkin/zipkin-slim image only supports "elasticsearch" storage. To use other storage types, you must use the main image
When in docker, the following environment variables also apply
JAVA_OPTS: Use to set java arguments, such as heap size or trust store location.
STORAGE_PORT_9042_TCP_ADDR-- A Cassandra node listening on port 9042. This environment variable is typically set by linking a container running
zipkin-cassandraas "storage" when you start the container.
STORAGE_PORT_3306_TCP_ADDR-- A MySQL node listening on port 3306. This environment variable is typically set by linking a container running
zipkin-mysqlas "storage" when you start the container.
STORAGE_PORT_9200_TCP_ADDR-- An Elasticsearch node listening on port 9200. This environment variable is typically set by linking a container running
zipkin-elasticsearchas "storage" when you start the container. This is ignored when
KAFKA_PORT_2181_TCP_ADDR-- A zookeeper node listening on port 2181. This environment variable is typically set by linking a container running
zipkin-kafkaas "kafka" when you start the container.
For example, to add debug logging, set JAVA_OPTS as shown in our docker-compose file:
- JAVA_OPTS=-Dlogging.level.zipkin=DEBUG -Dlogging.level.zipkin2=DEBUG
openzipkin/zipkin-slim images run under a nologin
user named 'zipkin' with a home directory of '/zipkin'. As this is a distroless
image, you won't find many utilities installed, but you can browse contents
with a shell like below:
$ docker run -it --rm --entrypoint /busybox/sh openzipkin/zipkin /zipkin $ ls BOOT-INF META-INF org run.sh
This project is configured to run docker containers using docker-compose. Note that the default configuration requires docker-compose 1.6.0+ and docker-engine 1.10.0+.
To start the default docker-compose configuration, run:
$ docker-compose up
View the web UI at $(docker ip):9411.
To see specific traces in the UI, select "zipkin-server" in the dropdown and then click the "Find Traces" button.
To start a smaller and faster distribution of zipkin, run:
$ docker-compose -f docker-compose-slim.yml up
This starts in-memory storage. The only other supported option for slim is Elasticsearch:
$ docker-compose -f docker-compose-slim.yml -f docker-compose-elasticsearch.yml up
The default docker-compose configuration defined in
backed by MySQL. This configuration starts
zipkin-dependencies (cron job) in their own containers.
The docker-compose configuration can be extended to use Cassandra instead of
MySQL, using the
docker-compose-cassandra.yml file. That file employs
to swap out one storage container for another.
To start the Cassandra-backed configuration, run:
$ docker-compose -f docker-compose.yml -f docker-compose-cassandra.yml up
The docker-compose configuration can be extended to use Elasticsearch instead of
MySQL, using the
docker-compose-elasticsearch.yml file. That file employs
to swap out one storage container for another.
To start the Elasticsearch-backed configuration, run:
$ docker-compose -f docker-compose.yml -f docker-compose-elasticsearch.yml up
Elasticsearch 5+ and Host setup
zipkin-elasticsearch6 images are more strict about virtual memory. You will need to adjust accordingly (especially if you notice elasticsearch crash!)
# If docker is running on your host machine, adjust the kernel setting directly $ sudo sysctl -w vm.max_map_count=262144 # If using docker-machine/Docker Toolbox/Boot2Docker, remotely adjust the same $ docker-machine ssh default "sudo sysctl -w vm.max_map_count=262144"
The docker-compose configuration can be extended to host a test Kafka broker
and activate the Kafka collector
docker-compose-kafka.yml file. That file employs
to add a Kafka+ZooKeeper container and relevant settings.
To start the MySQL+Kafka configuration, run:
$ docker-compose -f docker-compose.yml -f docker-compose-kafka.yml up
Then configure the Kafka sender using a
bootstrapServers value of
host.docker.internal:9092 if your application is inside the same docker network or
localhost:19092 if not, but running on the same host.
In other words, if you are running a sample application on your laptop, you would use
localhost:19092 bootstrap server to send spans to the Kafka broker running in Docker.
The docker-compose configuration can be extended to host the UI on port 80
docker-compose-ui.yml file. That file employs
to add an NGINX container and relevant settings.
To start the NGINX configuration, run:
$ docker-compose -f docker-compose.yml -f docker-compose-ui.yml up
This container doubles as a skeleton for creating proxy configuration around Zipkin like authentication, dealing with CORS with zipkin-js apps, or terminating SSL.
Zipkin comes with a built-in Prometheus metric exporter. The main
docker-compose.yml file starts Prometheus configured to scrape Zipkin, exposes
it on port
9090. You can open
$DOCKER_HOST_IP:9090 and start exploring the
metrics (which are available on the
/prometheus endpoint of Zipkin).
docker-compose.yml also starts a Grafana container with authentication
disabled, exposing it on port 3000. On startup it's configured with the
Prometheus instance started by
docker-compose as a data source, and imports
the dashboard published at https://grafana.com/dashboards/1598. This means that,
docker-compose up, you can open
$DOCKER_IP:3000/dashboard/db/zipkin-prometheus and play around with the
If you want to run the zipkin-ui standalone against a remote zipkin server, you
need to set
$ docker run -d -p 80:80 \ -e ZIPKIN_BASE_URL=http://myfavoritezipkin:9411 \ openzipkin/zipkin-ui
Docker machine and Kafka
If you are using Docker machine, adjust
bootstrapServers configuration of the kafka sender to match your Docker host IP (ex. 192.168.99.100:19092).
If using a provided MySQL server or image, ensure schema and other parameters match the docs.