I want to allocate more resources to my pipeline for docker build

[mayank Sharma]

With the new 4x and 8x size capabilities, how do i use the max memory and CPU to accomodate a large project build requirements. Is there a way to explicitly define memory and CPU in pipeline.yml. PFB curretn yaml

image: atlassian/default-image:2

pipelines:
  tags:
    '*[0-9].*[0-9].*[0-9]-*':
      - step:
          name: dev-release
          image: atlassian/default-image:2
          deployment: staging
          clone:
            enabled: true
          services:
            - docker
          size: 8x
          caches:
            - maven
            - gradle
          script:
            - docker login --username $HUB_USERNAME --password $HUB_PASSWORD
            - VERSION=${BITBUCKET_TAG}
            # build the Docker image (this will use the Dockerfile in the root of the repo)
            - docker build -f Dockerfile.pipeline -t myrepo/jupyter-notebook:${BITBUCKET_TAG} . --build-arg build_version=$VERSION
            # push the new Docker image to the Docker registry
            - docker push myrepo/jupyter-notebook:${BITBUCKET_TAG}

definitions:
  services:
    docker:
      memory: 4096

[Ben]

Hi mayank,

Memory allocation is customizable, whereas CPU will remain as a set amount depending on the option selected:

• 4x builds will be provisioned with 8 CPU cores and 16GB of memory.
• 8x builds will be provisioned with 16 CPU cores and 32GB of memory.

Allocating memory to service containers functions the same way as before, we have documentation that covers this below:

•  https://support.atlassian.com/bitbucket-cloud/docs/databases-and-service-containers/

Cheers!

- Ben (Bitbucket Cloud Support)