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

mayank Sharma_pvumul

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)