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License: MIT License
The easiest and most effective method for creating and managing Azure DevOps agents on Kubernetes
License: MIT License
Hi,
If you're using the UsePythonVersion task from Microsoft on a Self hosted agent following the documentation you need to handle the installation of python on you own.
Since I've found a way to make the UsePythonVersion@v0 working with my Agent I thought you might want to add my script or maybe improve it.
docker couldn't be invoked without sudo rights inside the created container. It should be refactored.
Hi, I've looked at your new docker file for v2.0.0 and noticed that you've installed apt-transport-https' and
software-properties-common' twice.
Was this on purpose? If so, I'd like to better understand the reason, and if not, is it just a simple duplicate?
Hello,
I am running this helm chart, and have no illusions this is an experience problem and probably missing something. This is quite literally my first K8 cluster / first Helm chart.
When my CI pipeline started, it started trying to do its thing, but very rapidly exhausted its disk space and crashed. So I am assuming I need to do something to allocate more space at it, but I am unsure of exactly what its looking for. I tried something like the following, but it errors.
Any chance you can help steer me in the right direction? If it helps any, the type of workload being shipped to this is VMware template builds with packer. It uses up a bunch of space during the build and after the artifacts are uploaded all the space is freed up.
volumes:
- name: ci-data
size: "50Gi"
volumeMounts:
- containerpath: /azp
volume:
name: ci-data
subpath: /azp
```
Error: UPGRADE FAILED: error validating "": error validating data: [ValidationError(Deployment.spec.template.spec.containers[0].volumeMounts[0]): unknown field "containerpath" in io.k8s.api.core.v1.VolumeMount, ValidationError(Deployment.spec.template.spec.containers[0].volumeMounts[0]): unknown field "volume" in io.k8s.api.core.v1.VolumeMount, ValidationError(Deployment.spec.template.spec.containers[0].volumeMounts[0]): missing required field "name" in io.k8s.api.core.v1.VolumeMount, ValidationError(Deployment.spec.template.spec.containers[0].volumeMounts[0]): missing required field "mountPath" in io.k8s.api.core.v1.VolumeMount, ValidationError(Deployment.spec.template.spec.volumes[0]): unknown field "size" in io.k8s.api.core.v1.Volume]
Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?
Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?
/usr/bin/docker pull node:12.18.1
/usr/bin/docker inspect node:12.18.1
[]
/usr/bin/docker build -f /azp/_work/1/s/app/Dockerfile --label com.azure.dev.image.system.teamfoundationcollectionuri=https://dev.azure.com/abhishekgupta0696/ --label com.azure.dev.image.system.teamproject=devops-learning --label com.azure.dev.image.build.repository.name=devops-learning --label com.azure.dev.image.build.sourceversion=92ec1cc1737e514cc2523c3951bbd3776bef275e --label com.azure.dev.image.build.repository.uri=https://[email protected]/abhishekgupta0696/devops-learning/_git/devops-learning --label com.azure.dev.image.build.sourcebranchname=main --label com.azure.dev.image.build.definitionname=devops-learning --label com.azure.dev.image.build.buildnumber=20240226.1 --label com.azure.dev.image.build.builduri=vstfs:///Build/Build/11 --label image.base.ref.name=node:12.18.1 -t pipelines-javascript-docker:11 /azp/_work/1/s/app
ERROR: Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?
##[error]ERROR: Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?
##[error]The process '/usr/bin/docker' failed with exit code 1
Finishing: Build an image
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