Bamboo configuration ¶

Application configuration ¶

Helm chart version ¶

bamboo_helm_chart_version sets the Helm chart version of Bamboo instance.

bamboo_helm_chart_version = "1.2.0"

Bamboo version tag ¶

Bamboo will be installed with the default version defined in its Helm chart. If you want to install a specific version of Bamboo, you can set the bamboo_version_tag to the version you want to install.

For more information, see Bamboo Version Tags.

bamboo_version_tag = "<BAMBOO_VERSION_TAG>"

Installation timeout ¶

bamboo_installation_timeout defines the timeout (in minutes) for product helm chart installation. Different variables can influence how long it takes the application from installation to ready state. These can be dataset restoration, resource requirements, number of replicas and others.

bamboo_installation_timeout = 10

License ¶

bamboo_license takes the license key of Bamboo product. Make sure that there is no new lines or spaces in license key.

bamboo_license = "<LICENSE_KEY>"

System Admin Credentials ¶

Four values are required to configure Bamboo system admin credentials.

bamboo_admin_username = "<USERNAME>"
bamboo_admin_password = "<PASSWORD>"
bamboo_admin_display_name = "<DISPLAY_NAME>"
bamboo_admin_email_address = "<EMAIL_ADDRESS>"

Instance resource configuration ¶

The following variables set number of CPU, amount of memory, maximum heap size and minimum heap size of Bamboo instance. (Used default values as example.)

bamboo_cpu = "1"
bamboo_mem = "1Gi"
bamboo_min_heap = "256m"
bamboo_max_heap = "512m"

Bamboo Agents configuration ¶

Agent Helm chart version ¶

bamboo_helm_chart_version sets the Helm chart version of Bamboo Agent instance.

bamboo_agent_helm_chart_version = "1.2.0"

Agent version tag ¶

Bamboo Agent will be installed with the default version defined in its Helm chart. If you want to install a specific version of the Agent, you can set the bamboo_agent_version_tag to the desired version.

For more information, see Bamboo Agent Version Tags.

bamboo_agent_version_tag = "<BAMBOO_AGENT_VERSION_TAG>"

Agent instance resource configuration ¶

The following variables set number of CPU and amount of memory of Bamboo Agent instances. (Used default values as example.)

bamboo_agent_cpu = "0.25"
bamboo_agent_mem = "256m"

Number of agents ¶

number_of_bamboo_agents sets the number of remote agents to be launched. To disable agents, set this value to 0.

number_of_bamboo_agents = 5

RDS Configuration ¶

Database engine version ¶

bamboo_db_major_engine_version sets the PostgeSQL engine version that will be used.

bamboo_db_major_engine_version = "13" 

Database Instance Class ¶

bamboo_db_instance_class sets the DB instance type that allocates the computational, network, and memory capacity required by the planned workload of the DB instance. For more information about available instance classes, see DB instance classes — Amazon Relational Database Service.

bamboo_db_instance_class = "<INSTANCE_CLASS>"  # e.g. "db.t3.micro"

Database Allocated Storage ¶

bamboo_db_allocated_storage sets the allocated storage for the database instance in GiB.

bamboo_db_allocated_storage = 100 

You may want to adjust these values according to your needs. For more information, see Amazon RDS DB instance storage — Amazon Relational Database Service.

Database IOPS ¶

bamboo_db_iops sets the requested number of I/O operations per second that the DB instance can support.

bamboo_db_iops = 1000

You may want to adjust these values according to your needs. For more information, see Amazon RDS DB instance storage — Amazon Relational Database Service.

Database name ¶

bamboo_db_name defines the name of database to be used for the Bamboo in RDS instance.

bamboo_db_name = "bamboo"

Restoring from Backup ¶

To restore data from an existing Bamboo backup, you can set the dataset_url variable to a publicly accessible URL where the dataset can be downloaded.

dataset_url = "https://bamboo-test-datasets.s3.amazonaws.com/dcapt-bamboo-no-agents.zip"

This dataset is downloaded to the shared home and then imported by the Bamboo instance. To log in to the instance, you will need to use any credentials from the dataset.