Kubernetes

Kubernetes is a container orchestration engine for the deployment, scaling, and management of containerized applications. Install and enable the Kubernetes plugin for PyCharm to add the following features for managing your Kubernetes cluster:

Coding assistance for Kubernetes resource configuration files.
Coding assistance for Helm charts and templates.
Validation of custom resources with custom resource definition (CRD) specifications.
Coding assistance for Kustomize files: field and local file path completion, quick documentation, and navigation between Kustomize files and patches. The list of related Kustomize files appears in the editor at the top of the open Kustomize patch.
Interaction with the cluster from PyCharm: use the Services tool window to see all resources of the Kubernetes cluster, jump to relevant resource definitions, view logs for containers running on pods, and much more.

The Kubernetes plugin supports Kubernetes versions 1.6 to 1.31 (you can select the applicable version).

Install the Kubernetes plugin

This functionality relies on the Kubernetes plugin, which you need to install and enable.

Press Ctrl+Alt+S to open settings and then select Plugins.
Open the Marketplace tab, find the Kubernetes plugin, and click Install (restart the IDE if prompted).

Specify a custom path to kubectl and helm

PyCharm uses the default kubectl (and helm if you use it) executables as determined by the PATH environment variable. If you install Kubernetes or Helm in custom directories, you can manually specify the path to them.

In the Settings dialog (Ctrl+Alt+S) , select Build, Execution, Deployment | Kubernetes.
In the Path to kubectl executable field, specify a path to the kubectl executable file.
In the Path to helm executable field, specify a path to the helm executable file.
Click Test to check the file location. If it's not found, you can either manually check the file location, or click Install, and PyCharm will download and install missing software.

Use custom Kubernetes configuration files

Information about clusters is stored in a kubeconfig file. PyCharm detects the default kubeconfig file, which is usually $HOME/.kube/config (this location can be changed by the KUBECONFIG environment variable). If you want PyCharm to get information about clusters from custom kubeconfig files and not just from the default one, you can specify them in the IDE settings. You can either apply it globally or use a different file for each project.

In the Settings dialog (Ctrl+Alt+S) , select Build, Execution, Deployment | Kubernetes.
Under Configuration, click and specify the path to a kubeconfig file.
If you want to use the configuration file in all projects, select Global in the Scope column. To use it only in the current project, keep the Project scope.

When you add a file, PyCharm validates its syntax and reports errors, if any.

Configure the Kubernetes API version

PyCharm provides completion for configuration key values, navigation to relevant selectors and definitions via gutter icons, specialized inspections that check for deprecated values and required keys, and other assistance features. These depend on the version of the API you are using. The Kubernetes plugin supports Kubernetes versions 1.6 to 1.31. By default, PyCharm sets it to the latest version. However, if your resources use an earlier version, you can change it.

In the Settings dialog (Ctrl+Alt+S) , select Languages & Frameworks | Kubernetes.
Change the Kubernetes API version and Kustomize version options as necessary.

Resource configuration files

The Kubernetes plugin provides rich support for resource configuration files in YAML, and only basic support for the JSON format.

Supported features

Feature	YAML	JSON
Auto-completion	Supported	Supported
Quick documentation	Supported	Supported
Inspections and quick fixes	Invalid, missing, and duplicated keys Non-editable (read-only) keys and resources Deprecated keys and resources Invalid integer and enum key values	Invalid, missing, and duplicated properties
Live templates	Predefined templates for common resource kinds	No predefined live templates
Smart completion	Supported	Not supported
Custom resource definitions	Supported	Not supported
Label definitions and selectors	Navigation using gutter icons, find usages, and renaming	Not supported
Enhancements of the original Kubernetes model	Enums instead of plain strings where applicable	None

PyCharm recognizes Kubernetes resource configuration files using the following mandatory fields:

apiVersion: identifies the versioned schema of the object representation
kind: identifies the resource type (for example, Service, Pod, Deployment, and so on)

If both of the previous fields are present in a YAML or JSON file, PyCharm will mark the file with the corresponding Kubernetes icon and enable all available features.

Create a resource file

With PyCharm, you can quickly create configuration files for some of the most popular resources in Kubernetes.

In the Project tool window Alt+1, right-click a folder, select New or press Alt+Insert, and then select Kubernetes Resource.
In the Name field, type your resource name and select the file template from the list.
This will create a new file with its contents based on the selected file template.
Click to create the resource in a cluster. To change the target cluster, click .

Alternatively, in YAML files, you can use predefined live templates, for example:

kconfigmap: Kubernetes ConfigMap
kcronjob: Kubernetes CronJob
kdeployment: Kubernetes Deployment
kingress: Kubernetes Ingress
kpod: Kubernetes Pod
kresource: Kubernetes Resource from Scratch
kservice: Kubernetes Service

Disable Kubernetes schema validation

PyCharm validates your Kubernetes files against the Kubernetes API schema. This includes checking it for required keys or possible types of resource.

If your file contains apiVersion and kind, but it is not a Kubernetes file, you can disable such validation. You can suppress inspections and change their scope and severity in Settings | Editor | Inspections | Kubernetes. Or you can mark a file with a special directive to disable validation in it:

On top of a resource configuration file, add # nonk8s.
Alternatively, if you already have a warning about an unknown resource, right-click it in the Problems tool window and select Show Quick-Fixes | Mark this file as non-Kubernetes.

Manage your cluster

Use the Services tool window to view your cluster, switch between namespaces, and modify the cluster resources.

Add clusters

To interact with Kubernetes clusters, add clusters in the Services tool window.

Open the Services tool window: select View | Tool Windows | Services or press Alt+8.
Right-click a Kubernetes node in the Services tool window and select Add Clusters. Alternatively, click and select Kubernetes | Add Clusters.
Next, select the source for Kubernetes clusters to be added:
- From Default Directory: get clusters from the default location (usually $HOME/.kube/config).
- From Custom kubeconfigs: select any kubeconfig file from your computer.
- Paste kubeconfig Content: paste the kubeconfig content into the textarea that opens.
In the Add Clusters window that opens, select a cluster that you want to add and click Add Clusters.

Added Kubernetes clusters will be available in the Services tool window. You can open each of them in a separate tab by right-clicking a cluster and selecting Open in New Tab.

To monitor the cluster resources in real-time, you can connect to the cluster.

Connect to the cluster

Connect to the cluster to interact with it in the IDE: follow logs, preview resources, view their configuration files, and get live updates when they are modified. Without connecting to the cluster, you can modify its resources in the editor.

Open the Services tool window: select View | Tool Windows | Services or press Alt+8.
If you don't have clusters in the Services tool window, add a cluster.
Right-click a cluster and select Connect Cluster.

Edit kubeconfig

The kubeconfig file contains information about clusters, users, namespaces, and authentication.

Open the Services tool window: select View | Tool Windows | Services or press Alt+8.
Select a cluster and click (Open kubeconfig File in Editor) on the toolbar. The action is also available when you right-click any Kubernetes object in the Services tool window.
This will open the kubeconfig file in a new tab of the editor. To change the default file opened by this action, you can specify a path to another file in Path to kubeconfig file.

When you change your kubeconfig file, the configuration is automatically reloaded. You can also reload it manually or disable automatic reload by right-clicking a cluster or any Kubernetes object and selecting More | Reload Configuration Automatically.

Switch between namespaces

Kubernetes namespaces let you logically isolate resources within your cluster. With PyCharm, you can quickly switch between namespaces.

Open the Services tool window: select View | Tool Windows | Services or press Alt+8.
Right-click your cluster or any resource, select Namespaces (or click on the toolbar), and select the required namespace.
To view resources of all namespaces, select All Namespaces.

Change cluster

When you create a resource file locally, you can select the cluster to which to apply the resource by clicking . You can also choose it in advance, in PyCharm settings.

In the Settings dialog (Ctrl+Alt+S) , select Languages & Frameworks | Kubernetes.
In the Cluster to use list, select a cluster to be used when applying local Kubernetes resources.

Modify cluster resources

Open the Services tool window: select View | Tool Windows | Services or press Alt+8.
Right-click a resource and select View YAML.
This will open the configuration file of the selected resource in a new tab of the editor. When you change a field, modified lines are highlighted in the gutter. You can click the highlighted area in the gutter to quickly preview or rollback changes.
Click to apply changes to the current cluster and namespace.

When you modify a resource configuration file, a toolbar appears at the top right. It lets you apply the changes, delete the resource, preview the diff, and roll back the changes.

Delete resources

You can delete a resource in any of the following ways:

In the Services tool window, right-click a resource and select Delete (Current Cluster Not Configured).
In the Services tool window, select a resource and click (Delete Resource) on the toolbar.
If the resource YAML file is opened in the editor, hover over it and click . You can also click here to change the cluster where you want to delete the resource.

Forward ports

With port forwarding in Kubernetes, you can forward traffic from a local port on your computer to a port on a Kubernetes pod. PyCharm lets you manage port forwarding: forward one or more local ports to remote ports, view the list of forwarding sessions in your cluster (established in PyCharm), stop and restart forwarding sessions.

Open the Services tool window: select View | Tool Windows | Services or press Alt+8.
Right-click a pod and select Forward Ports.
In the Forward Ports window that opens:
- In the Addresses field, enter addresses to listen on.
- In the Ports field, enter ports in the <local port>:<remote port> format, for example, 8888:5000 to listen on local port 8888 and forward data to/from remote port 5000.

To view all active forwarding sessions, expand Network | Port Forwarding under your Kubernetes cluster.

To terminate a port forwarding session, right-click it and select Stop Port Forwarding or click on the toolbar. To restart a stopped forwarding session, right-click it and select Restart Port Forwarding or click on the toolbar.

Create Secrets

With PyCharm, you can quickly create Kubernetes Secrets.

Open the Services tool window: select View | Tool Windows | Services or press Alt+8.
Select a cluster and expand Configuration.
Right-click the Secret node and select Create New Secret. Alternatively, select the Secret node and click on the toolbar.
In the Create New Secret window that opens, specify the secret name, type, and namespace. To speed up secret creation, PyCharm adds required data or annotation keys depending on the selected secret type.
In the Data and Annotations section, click Value and enter values for existing keys, or you can click and choose the way to provide values:
- Add Manually to manually enter the value.
- Use File Data to select a file (for example, an SSH key file or a Docker config.json) to use the file contents as the value.

You can view all your Secrets in the Services tool window, under Configuration. To edit a secret, right-click it and select Edit Secret or click on the toolbar.

Once a Secret is created, you can start typing its name in secretName fields of your Pod configuration file. This will invoke completion for Secret names available in the cluster or in your project.

Keep your cluster information up to date

To keep PyCharm synchronized with your clusters, use the following actions:

Reload Configuration to get the latest changes in your kubeconfig file.
Refresh Resources to get the latest changes in your Kubernetes resources. This is usually done automatically, provided you have the necessary permissions.

Reload configuration

By default, the configuration is automatically reloaded when you change your kubeconfig file. You can still reload it manually.

Open the Services tool window: select View | Tool Windows | Services or press Alt+8.
Right-click a cluster and select More | Reload Configuration.

If you want to disable automatic reload, clear the Reload Configuration Automatically option.

You can also check this setting in the IDE settings (Ctrl+Alt+S), in Build, Execution, Deployment | Kubernetes | Reload configuration automatically.

Refresh cluster resources manually

If you have connected to a cluster, any changes you make to its resources will be automatically reflected in the IDE. If your resources are not automatically updated (due to missing rights of your cluster role), there is a message about automatic refresh being forbidden in the Services tool window. In this case, you can refresh resources manually.

Open the Services tool window: select View | Tool Windows | Services or press Alt+8.
Right-click a group of resources and select Refresh or click Ctrl+F5.

View logs

With PyCharm, you can view cluster logs and logs from selected resources. You can filter them by date, source, and specific values in log messages.

Open resource logs in editor

Open the Services tool window: select View | Tool Windows | Services or press Alt+8.
Select the log source in one of the following ways:
- To view logs for all resources, select your Kubernetes cluster and click (Follow Log) on the toolbar of the Services tool window.
- To view logs for a particular resource, select the resource and click (Follow Log) on the toolbar of the Services tool window. Alternatively, right-click a resource and select Follow Log.
  If multiple containers exist in the pod, select the one you want to follow logs for from the displayed list of containers.

This will live tail logs of the selected resource with the --follow=true flag and open them in a new editor tag.

Filter logs

Once you've opened logs, you can refine the log list using the following filters at the top of the editor:

(Open Pattern Matching): enter or select values or patterns that you want your log data to match. For example, if level information is present in your logs, you can select warn, error, or other level values to show only logs corresponding to these levels.
(Select Log Sources): select your cluster resources for which you want to show logs.
(Filter by Date and Time): select a time range for which you want to show logs.
(Select Log Fields): select whether you want to show log timestamps, source, and messages.
In the input field on top of the editor tab, enter values from log messages. Click to use regular expressions and to make the search case-sensitive.

To discard all the applied filters (except sources) and show all logs, click (Clear All Log Filters).

Download logs for single container

Open the Services tool window: select View | Tool Windows | Services or press Alt+8.
Select a resource and, on the right side of the Services tool window, (Download Log) to save the log file.

You can configure log saving options in the IDE settings (Ctrl+Alt+S) under Build, Execution, Deployment | Kubernetes | Logs:

If you want to save logs in a location other than Scratches, specify a directory in Path to download logs to. Or select Ask where to save log before downloading to prompt you for the location every time you save logs.
If you want to include the log timestamp in the filename, select Append timestamp to log file name.

Download logs for selected containers

When the logs are open in the editor, you can use filters to refine them and then download the logs with the filters applied.

Open your cluster logs in the editor.
Use filters to select the necessary logs.
At the top of the editor, click .

This will download logs taking into account the applied filters.

Helm support

Helm is a tool for managing Kubernetes applications. Helm charts are packages of pre-configured resource definitions that you run inside a Kubernetes cluster. A chart contains a description of the package Chart.yaml and one or more templates used to generate Kubernetes manifest files.

Coding assistance for Helm charts and templates includes code completion, refactorings, inspections, quick-fixes, and quick documentation. Code completion includes values of dependencies from the specified repository (by default, from Helm Hub).

In Go template directives, PyCharm provides completion for Helm built-in objects and for values passed from a values.yaml file or from a custom values file. You can press Ctrl+B to navigate to a source of object values, for example, to a child chart value imported into a parent chart.

In template objects, you can use code folding: press Ctrl+NumPad + and Ctrl+NumPad - to toggle between values and directives. You can also hover over a value to expand and show the directive.

You can also use gutter icons to navigate between label definitions and label selectors, and between overridden and overriding values.

Create a new Helm chart

In the Project tool window, right-click a folder and select New | Helm Chart.
In the Create New Helm Chart window that opens, enter a name for the chart.

This runs the helm create command, which adds all the basic files required to get started:

.helmignore: Patterns to ignore when building packages
Chart.yaml: A basic chart description with metadata
values.yaml: Default values for chart templates
charts/: Directory for sub-charts
templates/: Directory for chart definitions
- _helpers.tpl: Partials and functions for your templates
- NOTES.txt: Information that is printed out after a chart is deployed
- deployment.yaml: Example Kubernetes deployment definition
- ingress.yaml: Example Kubernetes ingress definition
- service.yaml: Example Kubernetes service definition

Preview the result of Helm template rendering

If a template file is opened in the editor, click on the right side of the editor.
Alternatively, right-click the template file in your project, point to Helm, and select Helm Template.

This runs the helm template command that renders a chart template. The rendered preview opens inside the diff viewer to compare it with the original template file.

Update external dependencies

Right-click the chart, point to Helm, and click Helm Dependency Update.

This runs the helm dependency update command.

In Helm 2, dependencies should be specified in the requirements.yaml file. This action also generates or updates requirements.lock.

In Helm 3, dependencies should be specified in the Chart.yaml file. If you specify the dependencies in the wrong file, PyCharm provides an inspection with a quick-fix to move them.

There is also a gutter icon for updating dependencies in both the requirements.yaml and Chart.yaml files respectively.

Examine a chart for possible issues

Right-click the chart, point to Helm, and click Helm Lint.

This runs the helm lint command that executes a series of tests to discover possible problems without actually installing the chart.

Custom resource definitions support

If you extend the Kubernetes cluster with custom resources, PyCharm can validate them with custom resource definition (CRD) specifications.

Specify the path to CRD specifications

Press Ctrl+Alt+S to open settings and then select Languages & Frameworks | Kubernetes.
Click and either select a local CRD file or specify a URL. Then click OK.

Use and to rearrange the list of CRD files. This defines the priority for conflicting definitions: PyCharm will use the lowest one if it is defined in more than one file.

By default, CRDs are applied to the current project only. Change the Scope: option to IDE if you want a certain CRD to be available for any project that you open with this IDE instance.

To load the CRD from the running Kubernetes cluster, enable Use API schema from the active cluster if available.

You can view CRDs for the current cluster, including all their applied resources, under the Kubernetes node of the Services tool window.

The Kubernetes plugin supports CRD files of the following types:

CustomResourceDefinition files in YAML

The following example shows a simple CustomResourceDefinition specification for a custom resource stable.example.com/v1 of the kind CronTab. Obligatory fields to identify the resource are metadata.name, spec.group, spec.versions, and spec.names.

                apiVersion: apiextensions.k8s.io/v1beta1
                kind: CustomResourceDefinition
                metadata:
                  name: crontabs.stable.example.com # Obligatory field to identify the resource
                spec:
                  group: stable.example.com # Obligatory field to identify the resource
                  versions: # Obligatory field to identify the resource
                    - name: v1
                      served: true
                      storage: true
                  scope: Namespaced
                  names: # Obligatory field to identify the resource
                    plural: crontabs
                    singular: crontab
                    kind: CronTab
                    shortNames:
                      - ct
                validation:
                  openAPIV3Schema: # Schema for validating custom objects
                    properties:
                      spec:
                        properties:
                          cronSpec:
                            type: string
                            pattern: '^(\d+|\*)(/\d+)?(\s+(\d+|\*)(/\d+)?){4}$' # not supported for validation
                          replicas:
                            type: integer
                            minimum: 1 # not supported for validation
                            maximum: 10 # not supported for validation
            

OpenAPI v2.0 schema in JSON

The following example shows a simple OpenAPI v2.0 schema with a CRD specification for a custom resource sample/v1 of the kind Config. The root definition of the custom resource must contain the x-kubernetes-group-version-kind field with the specified group, version, and kind. In the example, the root.Definition object uses a build property to reference the some.Definition object.

                {
                    "swagger": "2.0",
                    "info": {
                        "title": "Sample Schema",
                        "version": "sample/v1"
                    },
                    "paths": {},
                    "definitions": {
                        "some.Definition": {
                            "description": "Example of a definition.",
                            "properties": {
                                "someProperty": {
                                    "type": "string"
                                }
                            }
                        },
                        "root.Definition": {
                            "description": "This is the root definition for the resource",
                            "properties": {
                                "build": {
                                    "$ref": "#/definitions/some.Definition"
                                }
                            },
                            "x-kubernetes-group-version-kind": [
                                {
                                    "group": "sample",
                                    "kind": "Config",
                                    "version": "v1"
                                }
                            ]
                        }
                    }
                }
            

CRD validation restrictions

PyCharm does not support the following OpenAPI v3 schema features:

multipleOf
maximum
exclusiveMaximum
minimum
exclusiveMinimum
maxLength
minLength
pattern
maxItems
minItems
uniqueItems
maxProperties
minProperties
allOf
oneOf
anyOf
not
format
default
nullable
readOnly
writeOnly
xml
externalDocs
example
deprecated

Productivity tips

If you use the features described here frequently, the following tips may be helpful:

Assign shortcuts

You can assign a keyboard shortcut for Kubernetes actions.

In the Settings dialog (Ctrl+Alt+S) , select Keymap.
Type kubernetes in the search field, then double-click an action to set a shortcut for it.

Alternatively, you can use the Find Action dialog Ctrl+Shift+A, type the necessary action and, and press Alt+Enter.

For example, you can assign a shortcut to Interact with Cluster to quickly open the context menu while modifying a resource configuration file.

Configure code folding

By default, PyCharm uses code folding to render value references in Helm templates and definitions in Kubernetes configuration files as the actual values. You can click the value to expand it or press Ctrl+NumPad + and Ctrl+NumPad - to toggle folding. If you want to see the references and definitions expanded by default, do the following:

In the Settings dialog (Ctrl+Alt+S) , select Editor | General | Code Folding.
On the Code Folding page, clear the necessary checkboxes:
- Kubernetes: value references in Helm templates
- Kubernetes: EnvVar definitions in YAML files
- Kubernetes: ExecAction definitions in YAML files

Last modified: 29 January 2025