About ephemeral agent templates
Basic template requirements
Every template has the following set of basic requirements:
An
apiVersion
field with a value ofv1
A
kind
field with a value ofPod
A
metadata
field to uniquely identify the pod with the following data:A
name
field with a value equal to'{{NAME}}'
A
labels
field defining the following key and value pair that will be used as the resource label to identify resources it creates and manages in your cluster:'{{RESOURCE_LABEL}}': <VALUE>
Replace
<VALUE>
with the resource label name you want Bamboo to use to identify resources in your Kubernetes cluster.
A
spec
field defining the properties of exactly one ephemeral agent container under containers:An
image
field declaring the Docker image to use. This can be a custom image or the base Docker image:atlassian/bamboo-agent-base:<YOUR_BAMBOO_VERSION>
Replace <YOUR_BAMBOO_VERSION>
with the Bamboo version number that you’re currently running. For example: atlassian/bamboo-agent-base:9.3.0
A
name
field with a value equal to'{{BAMBOO_AGENT_CONTAINER_NAME}}'
An env field containing the
BAMBOO_EPHEMERAL_AGENT_DATA
environment variable with a string value equal to'{{BAMBOO_EPHEMERAL_AGENT_DATA_VAL}}'
A
restartPolicy
field with a value of Never
Here’s an example YAML configuration that you can use as the starting point for creating your own ephemeral agent template:
All of the variables wrapped in double curly braces are placeholders that Bamboo will automatically replace with appropriate values. Make sure to insert them explicitly as shown in the following example.
---
apiVersion: v1
kind: Pod
metadata:
name: '{{NAME}}'
labels:
'{{RESOURCE_LABEL}}': <VALUE>
spec:
containers:
- image: atlassian/bamboo-agent-base:<YOUR_BAMBOO_VERSION>
name: '{{BAMBOO_AGENT_CONTAINER_NAME}}'
env:
- name: BAMBOO_EPHEMERAL_AGENT_DATA
value: '{{BAMBOO_EPHEMERAL_AGENT_DATA_VAL}}'
restartPolicy: Never
Replace
<VALUE>
with the resource label name you want Bamboo to use to identify resources in your Kubernetes cluster.Replace
<YOUR_BAMBOO_VERSION>
with the Bamboo version number that you’re currently running. For example:atlassian/bamboo-agent-base:9.3.0
Don't add a namespace property to your templates. When evaluating templates, Bamboo always expects the default namespace. Instead, tune your configuration's context section to use your custom namespace as the default one. For example:
contexts:
- context:
cluster: <CLUSTER_NAME>
namespace: <CUSTOM_NAMESPACE> # Set your custom namespace here
user: <USERNAME>
name: <CONTEXT_NAME>
Creating custom images
The base Docker image used in the example YAML configuration above contains only a minimal setup to run a basic ephemeral agent, which may not have sufficient capabilities to run your builds. If you need additional capabilities beyond what the basic image provides, you can extend the image as needed.
To extend the basic image:
Create a new Docker file that defines all the capabilities that you want your ephemeral agent to have. In the following example, we’ll install Maven:
FROM atlassian/bamboo-agent-base:<YOUR_BAMBOO_VERSION> RUN apt-get update && \ apt-get install maven -y
Replace <YOUR_BAMBOO_VERSION> with the Bamboo version number that you’re currently running.
Build the new image:
docker build --tag <MY_IMAGE_TAG>
例:
docker build --tag my-agent-with-maven-image
Create a new template or modify an existing one to use the new image.
Add all the capabilities you need to the template.
In our Maven example above, the configuration may look like this:フィールド 値 機能タイプ 実行可能ファイル タイプ Maven 3.x パス /usr/share/maven
You can now use your customized template to run builds and deployments.
Adding multiple containers to a template
Apart from the Bamboo ephemeral agent container, your template can define other containers that the ephemeral agent can communicate with to exchange data or run other processes.
To add multiple containers, define each one as an entry in the containers
list.
In the following example, we’ll add extra containers for the PostgreSQL database and nginx server:
---
apiVersion: v1
kind: Pod
metadata:
name: '{{NAME}}'
labels:
'{{RESOURCE_LABEL}}': <VALUE>
spec:
containers:
- image: atlassian/bamboo-agent-base:<YOUR_BAMBOO_VERSION>
name: '{{BAMBOO_AGENT_CONTAINER_NAME}}'
env:
- name: BAMBOO_EPHEMERAL_AGENT_DATA
value: '{{BAMBOO_EPHEMERAL_AGENT_DATA_VAL}}'
- image: postgres:latest
name: postgres-db
env:
- name: POSTGRES_PASSWORD
value: password
- image: nginx:latest
name: nginx-sever
restartPolicy: Never
- Replace
<VALUE>
with the resource label name you want Bamboo to use to identify resources in your Kubernetes cluster. Replace
<YOUR_BAMBOO_VERSION>
with the Bamboo version number that you’re currently running. For example:atlassian/bamboo-agent-base:9.3.0
Delaying the start of the ephemeral agent container
If you’re going to be running pods with multiple containers in them, it may happen that you’ll want to delay the start of the ephemeral agent container until the other containers are successfully up and running.
An ephemeral agent will wait for all the remaining containers to report their readiness for up to 20 minutes before starting up.
To delay the start of the ephemeral agent container:
In the
.spec.volumes
, define anemptyDir
volume, where your additional containers will report their readiness.In the ephemeral agent container configuration section, under
volumeMounts
, declare a read-only mount point for the previously definedemptyDir
volume by specifying aname
andmountPath
.In each extra container, under
.spec.containers[*].volumeMounts
, declare a writeable mount point for the previously addedemptyDir
volume by specifying thename
,mountPath
, andreadonly: false
properties.To each extra container, under
.spec.containers[*]
, add apostStart
lifecycle hook that will execute a command to create a unique file in the mounted volume’s file system. For example:lifecycle: postStart: exec: command: ['/bin/sh', '-c', 'touch /registration/nginx']
In the ephemeral agent container configuration section, declare the following environment variables as key-value pair entries into the
env
list:KUBE_NUM_EXTRA_CONTAINERS
equal to the number of containers the agent should wait forEXTRA_CONTAINERS_REGISTRATION_DIRECTORY
equal to the registration directorymountPath
例:
---
apiVersion: v1
kind: Pod
metadata:
name: '{{NAME}}'
labels:
'{{RESOURCE_LABEL}}': <VALUE>
spec:
volumes:
- name: registration-volume
emptyDir: {}
containers:
- image: atlassian/bamboo-agent-base:<YOUR_BAMBOO_VERSION>
name: '{{BAMBOO_AGENT_CONTAINER_NAME}}'
volumeMounts:
- name: registration-volume
mountPath: /registration
env:
- name: BAMBOO_EPHEMERAL_AGENT_DATA
value: '{{BAMBOO_EPHEMERAL_AGENT_DATA_VAL}}'
- name: KUBE_NUM_EXTRA_CONTAINERS
value: '1'
- name: EXTRA_CONTAINERS_REGISTRATION_DIRECTORY
value: /registration
- image: nginx:latest
name: nginx-sever
volumeMounts:
- name: registration-volume
mountPath: /registration
readOnly: false
lifecycle:
postStart:
exec:
command: ['/bin/sh', '-c', 'touch /registration/nginx']
restartPolicy: Never
Replace
<VALUE>
with the resource label name you want Bamboo to use to identify resources in your Kubernetes cluster.Replace
<YOUR_BAMBOO_VERSION>
with the Bamboo version number that you’re currently running. For example:atlassian/bamboo-agent-base:9.3.0
Reducing server resource usage on ephemeral agent startup
When an ephemeral agent starts up, it fetches the files it needs to perform a build or deployment from the Bamboo server. Fetching these files on every ephemeral agent startup may put your Bamboo server under additional load and increase the ephemeral agent's overall startup time.
You can offload some of the agent's files to a persistent volume in your Kubernetes cluster to speed up the launch of ephemeral agents and make sure that your Bamboo server's resources are put to good use.
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