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.
Automatically built images are available on Quay.io under the OpenZipkin organization, and are mirrored to Docker Hub.
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.
For example, 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".
Note: the openzipkin/zipkin-slim
image only supports "elasticsearch" storage. To use other storage types, you must use the main image openzipkin/zipkin
.
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 runningzipkin-cassandra
as "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 runningzipkin-mysql
as "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 runningzipkin-elasticsearch
as "storage" when you start the container. This is ignored whenES_HOSTS
orES_AWS_DOMAIN
are set.KAFKA_PORT_2181_TCP_ADDR
-- A zookeeper node listening on port 2181. This environment variable is typically set by linking a container runningzipkin-kafka
as "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
The openzipkin/zipkin
and 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 docker-compose.yml
is
backed by MySQL. This configuration starts zipkin
, zipkin-mysql
and
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
docker-compose overrides
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
docker-compose overrides
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
The zipkin-elasticsearch5
and 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
using the docker-compose-kafka.yml
file. That file employs
docker-compose overrides
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
using the docker-compose-ui.yml
file. That file employs
docker-compose overrides
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,
after running docker-compose up
, you can open
$DOCKER_IP:3000/dashboard/db/zipkin-prometheus
and play around with the
dashboard.
If you want to run the zipkin-ui standalone against a remote zipkin server, you
need to set ZIPKIN_BASE_URL
accordingly:
$ docker run -d -p 80:80 \
-e ZIPKIN_BASE_URL=http://myfavoritezipkin:9411 \
openzipkin/zipkin-ui
If you are using Docker machine, adjust KAFKA_ADVERTISED_HOST_NAME
in docker-compose-kafka.yml
and the 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.