Teamcity kubernetes
Helm stepsĪdd Helm build step to build configuration, choose one of supported commands: install, upgrade, rollback, test, delete. The plugin supports the official TeamCity Build Agent Docker image out of the box. The plugin supports Kubernetes cluster images to start new pods with a TeamCity build agent running in one of the containers. Configuration Cloud agentsĬonfigure Kubernetes Cloud Profile for your project in the Server Administration UI.
#TEAMCITY KUBERNETES INSTALL#
You can download the plugin and install it as an additional TeamCity plugin. The plugin is compatible with TeamCity 2017.1.x and later. Min phí khi ng ký và chào giá cho công vic. Using those labeled pods, you can always determine which TeamCity server started a particular pod, which cloud profile and cloud image are affected.Run TeamCity cloud agents in a Kubernetes cluster. Tìm kim các công vic liên quan n Assemblyinfo patcher teamcity hoc thuê ngi trên th trng vic làm freelance ln nht th gii vi hn 21 triu công vic. TeamCity will mark every started pod with a set of specific labels. TeamCity Server - Powerful Continuous Integration and Continuous Delivery out of the box. Deployment will be used as a container of PodTemplateSpec which can be referenced by name.Īfter a cloud profile is created and saved, you will be able to start TeamCity agents running in containers in the scope of the pods on the Kubernetes cluster. The TeamCity server will take care of those pods on its own.
![teamcity kubernetes teamcity kubernetes](https://i.octopus.com/blog/2018-10/deploying-teamcity-to-kubernetes/octopus_deploy_successful_volume_deployment.png)
The Kubernetes deployments feature will not be used to manage the pods’ lifecycle. A Deployment Package in CDA is an instance of an Application that defines the content that will be deployed (either. The plugin’s own pods means that the pods will not be connected to deployment anyhow. When given a deployment name, the plugin will not actually use it as deployment, but it will extract the PodTemplateSpec section from its definition and use it to create the plugin’s own pods. You can either use the official TeamCity Build Agent image in your deployment like in the example below, or your own image. Here you simply specify a deployment name: remember to check that the deployment belongs to the same namespace you’ve provided in the cloud profile.
![teamcity kubernetes teamcity kubernetes](https://i.octopus.com/blog/2018-10/deploying-teamcity-to-kubernetes/octopus_deploy_create_account.png)
Other options like Docker command, Docker arguments, and image pull policy, will be useful as well.Īnother cloud image option is ‘Use pod template from deployment’. In our setup, we are using the official TeamCity Build Agent image which is supported by the plugin. When the “Simply run single container” mode is selected, users can specify the name of the Docker image with the build agent they want to use.
![teamcity kubernetes teamcity kubernetes](https://i.octopus.com/blog/2018-10/deploying-teamcity-to-kubernetes/gcp_create_k8s_cluster_wizard.png)
The next step after connecting to the Kubernetes API is creating a cloud image. CircleCI can be classified as a tool in the Continuous Integration category, while Heres a link. Select one of the Kubernetes API authentication options: Teamcity Kubernetes Integration X Configmaps And Secrets. Specify the URL of the Kubernetes API server (aka Kubernetes master), select the appropriate namespace. Then you can start by configuring a cloud profile in a project: The plugin is compatible with TeamCity 2017.1.x and later.įirst, download the plugin and install it on the TeamCity server as usual. Now with the help of the TeamCity Kubernetes Support plugin, it is possible to use the same infrastructure to run TeamCity build agents.
![teamcity kubernetes teamcity kubernetes](https://i.octopus.com/blog/2018-10/deploying-teamcity-to-kubernetes/octopus_deploy_create_release.png)
A number of teams and organizations already have a Kubernetes cluster configured and used in production. Kubernetes nowadays is quite a popular way to run Docker containers.