Product | Version | Tags | Dockerfile |
---|---|---|---|
Bamboo | 6.3.3 | 6.3.3, latest | Dockerfile |
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Download jdk-8u101-linux-x64.tar.gz
$ docker run -d -p 80:8085 --name bamboo notch8/bamboo
- Download jdk-8u101-linux-x64.tar.gz
- Start the database container
- Start Bamboo
- Setup Bamboo
First start the database server:
Note: Change Password!
$ docker network create bamboonet
$ docker run --name postgres -d \
--network bamboonet \
-e 'POSTGRES_USER=bamboo' \
-e 'POSTGRES_PASSWORD=jellyfish' \
-e 'POSTGRES_ENCODING=UTF8' \
-e 'POSTGRES_COLLATE=C' \
-e 'POSTGRES_COLLATE_TYPE=C' \
blacklabelops/postgres
This is the blacklabelops postgres image.
Secondly start Bamboo with a link to postgres:
$ docker run -d --name bamboo \
--network bamboonet \
-p 80:8085 notch8/bamboo
Start the Bamboo and link it to the postgresql instance.
Thirdly, configure your Bamboo yourself and fill it with a test license.
- Choose
Production Installation
because we have a postgres! - Enter license information
- In
Choose a Database Configuration
choosePostgeSQL
and pressExternal Database
- In
Configure Database
pressDirect JDBC
- In
Configure Database
fill out the form:
- Driver Class Name:
org.postgresql.Driver
- Database URL:
jdbc:postgresql://postgres:5432/bamboodb
- User Name:
bamboo
- Password:
jellyfish
Note: Change Password!
Note: It's not recommended to use a default initialized database for Bamboo in production! The default databases are all using a not recommended database configuration! Please use this for demo purposes only!
This is a demo "by foot" using the docker cli. In this example we setup an empty PostgreSQL container. Then we connect and configure the Confluence accordingly. Afterwards the Confluence container can always resume on the database.
Steps:
- Start Database container
- Start Confluence
Let's take an PostgreSQL Docker Image and set it up:
Postgres Official Docker Image:
$ docker network create bamboonet
$ docker run --name postgres -d \
--network bamboonet \
-e 'POSTGRES_DB=bamboodb' \
-e 'POSTGRES_USER=bamboodb' \
-e 'POSTGRES_PASSWORD=jellyfish' \
postgres:9.4
This is the official postgres image.
Postgres Community Docker Image:
$ docker network create bamboonet
$ docker run --name postgres -d \
--network bamboonet \
-e 'DB_USER=bamboo' \
-e 'DB_PASS=jellyfish' \
-e 'DB_NAME=bamboodb' \
sameersbn/postgresql:9.4-12
This is the sameersbn/postgresql docker container I tested.
Now start the Bamboo container and let it use the container. On first startup you have to configure your Bamboo yourself and fill it with a test license.
- Choose
Production Installation
because we have a postgres! - Enter license information
- In
Choose a Database Configuration
choosePostgeSQL
and pressExternal Database
- In
Configure Database
pressDirect JDBC
- In
Configure Database
fill out the form:
- Driver Class Name:
org.postgresql.Driver
- Database URL:
jdbc:postgresql://postgres:5432/bamboodb
- User Name:
bamboo
- Password:
jellyfish
$ docker run -d --name bamboo \
--network bamboonet \
-p 80:8090 notch8/bamboo
Start the Confluence and link it to the postgresql instance.
Let's take an MySQL container and set it up:
MySQL Official Docker Image:
$ docker network create bamboonet
$ docker run -d --name mysql \
--network bamboonet \
-e 'MYSQL_ROOT_PASSWORD=verybigsecretrootpassword' \
-e 'MYSQL_DATABASE=bamboodb' \
-e 'MYSQL_USER=bamboodb' \
-e 'MYSQL_PASSWORD=jellyfish' \
mysql:5.6
This is the mysql docker container I tested.
MySQL Community Docker Image:
$ docker network create bamboonet
$ docker run -d --name mysql \
--network bamboonet \
-e 'ON_CREATE_DB=bamboodb' \
-e 'MYSQL_USER=bamboodb' \
-e 'MYSQL_PASS=jellyfish' \
tutum/mysql:5.6
This is the tutum/mysql docker container I tested.
Now start the Confluence container and let it use the container. On first startup you have to configure your Confluence yourself and fill it with a test license.
- Choose
Production Installation
because we have a mysql! - Enter license information
- In
Choose a Database Configuration
chooseMySQL
and pressExternal Database
- In
Configure Database
pressDirect JDBC
- In
Configure Database
fill out the form:
- Driver Class Name:
com.mysql.jdbc.Driver
- Database URL:
jdbc:mysql://mysql/bamboodb?sessionVariables=storage_engine%3DInnoDB&useUnicode=true&characterEncoding=utf8
- User Name:
bamboodb
- Password:
jellyfish
$ docker run -d --name bamboo \
--network bamboonet \
-p 80:8090 blacklabelops/bamboo
Start Bamboo
Bamboo will be available at http://yourdockerhost
The confluence container can wait for the database container to start up. You have to specify the host and port of your database container and Confluence will wait up to one minute for the database.
You can define the waiting parameters with the environment variables:
DOCKER_WAIT_HOST
: The host to poll. Mandatory!DOCKER_WAIT_PORT
: The port to poll Mandatory!DOCKER_WAIT_TIMEOUT
: The timeout in seconds. Optional! Default: 60DOCKER_WAIT_INTERVAL
: The polling interval in seconds. Optional! Default:5
Example waiting for a postgresql database:
First start the polling container:
$ docker run -d --name bamboo \
-e "DOCKER_WAIT_HOST=your_postgres_host" \
-e "DOCKER_WAIT_PORT=5432" \
-p 80:8090 blacklabelops/bamboo
Waits at most 60 seconds for the database.
Start the database within 60 seconds:
$ docker run --name postgres -d \
--network jiranet \
-v postgresvolume:/var/lib/postgresql \
-e 'POSTGRES_USER=jira' \
-e 'POSTGRES_PASSWORD=jellyfish' \
-e 'POSTGRES_DB=jiradb' \
-e 'POSTGRES_ENCODING=UNICODE' \
-e 'POSTGRES_COLLATE=C' \
-e 'POSTGRES_COLLATE_TYPE=C' \
blacklabelops/postgres
Bamboo will start after postgres is available!
You can specify configuration entries for the Bamboo configuration file bamboo.cfg.xml
. The entries will be added or
updated after the configuration file is available, e.g. after bamboo installation. You can specify those entries with
enumerated environment variables, they will be executed at each container restart.
Environment Variables:
BAMBOO_CONFIG_PROPERTY
: The name of each configuration property.BAMBOO_CONFIG_VALUE
: The value for each configuration property.
Example:
- Setting property
synchrony.btf
totrue
- Adding property
bamboo.webapp.context.path
to/bamboo
$ docker run -d -p 80:8090 \
--name bamboo \
-e "BAMBOO_CONFIG_PROPERTY1=synchrony.btf" \
-e "BAMBOO_CONFIG_VALUE1=true" \
-e "BAMBOO_CONFIG_PROPERTY2=bamboo.webapp.context.path" \
-e "BAMBOO_CONFIG_VALUE2=/bamboo" \
blacklabelops/bamboo
Each environment variable must be enumerated with a postfix number, starting with 1!
Note: When starting Bamboo the first time there will be no configuration file bamboo.cfg.xml
. You will
have to restart your container docker restart bamboo
then your settings will take effect.
Note: Settings will be adjusted at each container restart. There are properties that can be changed inside Bamboo. You may not want to overwrite your application setting at each restart.
You can specify your proxy host and proxy port with the environment variables BAMBOO_PROXY_NAME and BAMBOO_PROXY_PORT. The value will be set inside the Atlassian server.xml at startup!
When you use https then you also have to include the environment variable BAMBOO_PROXY_SCHEME.
Example HTTPS:
- Proxy Name: myhost.example.com
- Proxy Port: 443
- Poxy Protocol Scheme: https
Just type:
$ docker run -d --name bamboo \
-e "BAMBOO_PROXY_NAME=myhost.example.com" \
-e "BAMBOO_PROXY_PORT=443" \
-e "BAMBOO_PROXY_SCHEME=https" \
blacklabelops/bamboo
Will set the values inside the server.xml in /opt/bamboo/conf/server.xml
This is an example on running Atlassian Bamboo behind NGINX with 2 Docker commands!
Prerequisite:
If you want to try the stack on your local compute then setup the following domains in your host settings (Mac/Linux: /etc/hosts):
127.0.0.1 bamboo.yourhost.com
Then create a Docker network for communication between Bamboo and Nginx:
$ docker network create bamboo
First start Bamboo:
$ docker run -d --name bamboo \
--network bamboo \
-v bamboodata:/var/atlassian/bamboo \
-e "BAMBOO_CONTEXT_PATH=/bamboo" \
-e "BAMBOO_PROXY_NAME=bamboo.yourhost.com" \
-e "BAMBOO_PROXY_PORT=80" \
-e "BAMBOO_PROXY_SCHEME=http" \
blacklabelops/bamboo
Then start NGINX:
$ docker run -d \
-p 80:80 \
--name nginx \
--network bamboo \
-e "SERVER1SERVER_NAME=bamboo.yourhost.com" \
-e "SERVER1REVERSE_PROXY_LOCATION1=/" \
-e "SERVER1REVERSE_PROXY_PASS1=http://bamboo:8085" \
-e "SERVER1REVERSE_PROXY_APPLICATION1=bamboo" \
blacklabelops/nginx
Bamboo will be available at http://bamboo.yourhost.com.
This is an example on running Atlassian Bamboo behind NGINX with 2 Docker commands!
Note: This is a self-signed certificate! Trusted certificates by letsencrypt are supported. Documentation can be found here: blacklabelops/nginx
Prerequisite:
If you want to try the stack on your local compute then setup the following domains in your host settings (Mac/Linux: /etc/hosts):
127.0.0.1 bamboo.yourhost.com
Then create a Docker network for communication between Bamboo and Nginx:
$ docker network create bamboo
First start Bamboo:
$ docker run -d --name bamboo \
--network bamboo \
-e "BAMBOO_PROXY_NAME=bamboo.yourhost.com" \
-e "BAMBOO_PROXY_PORT=443" \
-e "BAMBOO_PROXY_SCHEME=https" \
blacklabelops/bamboo
Then start NGINX:
$ docker run -d \
-p 443:443 \
--name nginx \
--network bamboo \
-e "SERVER1REVERSE_PROXY_LOCATION1=/" \
-e "SERVER1REVERSE_PROXY_PASS1=http://bamboo:8090" \
-e "SERVER1REVERSE_PROXY_APPLICATION1=bamboo" \
-e "SERVER1CERTIFICATE_DNAME=/CN=CrustyClown/OU=SpringfieldEntertainment/O=bamboo.yourhost.com/L=Springfield/C=US" \
-e "SERVER1HTTPS_ENABLED=true" \
-e "SERVER1HTTP_ENABLED=false" \
blacklabelops/nginx
Bamboo will be available at https://bamboo.yourhost.com.
The build process can take the following argument:
- BAMBOO_VERSION: The specific Bamboo version number.
Examples:
Build image with the default Bamboo release:
$ docker build -t blacklabelops/bamboo .
Note: Dockerfile must be inside the current directory!
Build image with a specific Bamboo release:
$ docker build --build-arg BAMBOO_VERSION=6.0.2 -t blacklabelops/bamboo .
Note: Dockerfile must be inside the current directory!
Build the latest release with docker-compose:
$ docker-compose build
The Catalina webserver properties can be specified using environment variables.
The following environment variables can be used:
CATALINA_PARAMETER
: The name of the parameter value. You have to use full parameter flag, its name and assignment operator, e.g.-Xms
,-XX:
CATALINA_PARAMETER_VALUE
: Set the value of the parameter.
Example:
$ docker run -d -p 80:8085 \
--name bamboo \
-v bamboodata:/var/atlassian/bamboo \
-e "CATALINA_PARAMETER2=-Xms" \
-e "CATALINA_PARAMETER_VALUE2=1024m" \
-e "CATALINA_PARAMETER3=-Xmx" \
-e "CATALINA_PARAMETER_VALUE3=1024m" \
blacklabelops/bamboo
Sets the synchrony proxy and memory settings.
Simply: You can set user-id and group-id matching to a user and group from your host machine!
Due to security considerations this image is not running in root mode! The Jenkins process user inside the container is bamboo
and the user's group is bamboo
. This project offers a simplified mechanism for user- and group-mapping. You can set the uid of the user and gid of the user's group during build time.
The process permissions are relevant when using volumes and mounted folders from the host machine. Bamboo need read and write permissions on the host machine. You can set UID and GID of the Bamboo's process during build time! UID and GID should resemble credentials from your host machine.
The following build arguments can be used:
CONTAINER_UID
: Set the user-id of the process. (default: 1000)CONTAINER_GID
: Set the group-id of the process. (default: 1000)
Example:
$ docker build --build-arg CONTAINER_UID=2000 --build-arg CONTAINER_GID=2000 -t blacklabelops/bamboo .
The container will write and read files with UID 2000 and GID 2000.
You can specify the images language and country code. This can help you when Bamboo does not display the characters of your language correcty.
The following build arguments can be used:
LANG_LANGUAGE
: Set the operating systems language code. (default: en)LANG_COUNTRY
: Set the operating systems country code. (default: US)
Example:
$ docker build --build-arg LANG_LANGUAGE=de --build-arg LANG_COUNTRY=DE -t blacklabelops/bamboo .
Builds image for german language and country code. E.g. when
Ö
is not displayed correctly inside Bamboo.
Confluence like any Java application needs a huge amount of memory. If you limit the memory usage by using the Docker --mem option make sure that you give enough memory. Otherwise your Confluence will begin to restart randomly. You should give at least 1-2GB more than the JVM maximum memory setting to your container.
Example:
$ docker run -d -p 80:8085 \
--name confluence \
-e "CATALINA_PARAMETER1=-Xms" \
-e "CATALINA_PARAMETER_VALUE1=1024m" \
-e "CATALINA_PARAMETER2=-Xmx" \
-e "CATALINA_PARAMETER_VALUE2=2048m" \
blacklabelops/bamboo
CATALINA_OPTS sets webserver startup properties.
You can inspect image metadata with the following command:
$ docker inspect --format='{{json .Config.Labels}}' blacklabelops/confluence
Displays image metadata, e.g. image build date.
You enable Single Sign On with Atlassian Crowd. What is crowd?
"Users can come from anywhere: Active Directory, LDAP, Crowd itself, or any mix thereof. Control permissions to all your applications in one place – Atlassian, Subversion, Google Apps, or your own apps." - Atlassian Crowd
This is controlled by the environment variable CONFLUENCE_CROWD_SSO
. Possible values:
true
: Confluence configuration will be set to Crowd SSO authentication class at every restart.false
: Confluence configuration will be set to Confluence Authentication class at every restart.ignore
(Default): Config will not be touched, current image setting will be taken.
You need to configure an application user between confluence and crowd, see here: Integrating Crowd with Atlassian Confluence
Crowd SSO needs the following environment variables:
CROWD_SSO_APPLICATION_NAME
: The application username.
CROWD_SSO_APPLICATION_PASSWORD
: The application user's password.
CROWD_SSO_BASE_URL
: The base url of your crowd instance, e.g. https://yourcrowd.yourhost.com/
CROWD_SSO_SESSION_VALIDATION
: Timeout for the validation token in minutes.
Example:
$ docker run -d -p 80:8080 -v confluencevolume:/var/atlassian/confluence \
-e "CONFLUENCE_CROWD_SSO=true" \
-e "CROWD_SSO_APPLICATION_NAME=confluence_user" \
-e "CROWD_SSO_APPLICATION_PASSWORD=your_secure_password" \
-e "CROWD_SSO_BASE_URL=https://yourcrowd.yourhost.com/" \
-e "CROWD_SSO_SESSION_VALIDATION=10" \
--name confluence blacklabelops/confluence
SSO will be activated, you will need Crowd in order to authenticate.
Leave a message and ask questions on Hipchat: blacklabelops/hipchat
This project is very grateful for code and examples from the repositories: