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Deploy Helm charts

This topic describes how to deploy Helm charts in standard Helm syntax in YAML from a remote Git repo, HTTP Helm Repository, or cloud storage service (Google Cloud Storage, AWS S3).

This process is also covered in the Helm Chart deployment tutorial.

Before you begin

Important notes

  • Harness does not support AWS cross-account access for ChartMuseum and AWS S3. For example, if the Harness Delegate used to deploy charts is in AWS account A, and the S3 bucket is in AWS account B, the Harness Cloud Provider that uses this Delegate in A cannot assume the role for the B account.

  • Helm 2 was deprecated by the Helm community in November 2020 and is no longer supported by Helm. If you continue to maintain the Helm 2 binary on your delegate, it might introduce high and critical vulnerabilities and put your infrastructure at risk.

    To safeguard your operations and protect against potential security vulnerabilities, Harness will launch an update to deprecate the Helm 2 binary from delegates with an immutable image type (image tag on July 30, 2023. For information on delegate types, go to Delegate image types.

    If your delegate is set to auto-upgrade, Harness will automatically remove the binary from your delegate. This will result in pipeline and workflow failures for services deployed via Helm 2.


    If your development team still uses Helm 2, you can reintroduce the binary on the delegate. Harness is not responsible for any vulnerabilities or risks that might result from reintroducing the Helm 2 binary.

    For more information about updating your delegates to reintroduce Helm 2, go to:

    Contact Harness Support if you have any questions.

Supported platforms and technologies

See Supported Platforms and Technologies.

Commands used by Harness to perform a Helm Chart Deployment managed by Harness

When using the Harness-managed Helm Chart Deployment approach, Harness uses a mix of helm and kubectl commands to perform the deployment.

  1. The command we run to perform Fetch Files, depends on the store type Git or Helm Repo.

For Git:

git clone {{YOUR GIT REPO}}

For Helm Repo:

helm pull {{YOUR HELM REPO}}
  1. Based on your values.yaml and Harness configured variables, Harness will then render those values via helm template. We will consolidate all the rendered manifest into a manifest.yaml.
helm template release-75d461a29efd32e5d22b01dc0f93aa5275e2f003 /opt/harness-delegate/repository/helm/source/c1475174-18d6-38e6-8c67-1000f3b71297/helm-test-chart  --namespace default  -f ./repository/helm/overrides/6a7628964506885eb37908b81914a04c.yaml
  1. Harness will perform a dry run by default to show what is about to be applied
kubectl --kubeconfig=config apply --filename=manifests-dry-run.yaml --dry-run=client
  1. Harness will then run the kubectl apply command to apply the manifest files to the Kubernetes clusters.
kubectl --kubeconfig=config apply --filename=manifests.yaml
  1. Harness will then query the deployed resources to show a summary of what was deployed.
kubectl --kubeconfig=config describe --filename=manifests.yaml
  1. In the event of failure Harness will rollback, we perform a kubectl rollout undo.
kubectl --kubeconfig=config rollout undo Deployment/test-deploy --namespace=default --to-revision=1

ChartMuseum binaries

Many Helm chart users use ChartMuseum as their Helm chart repository server.

  • ChartMuseum binary v0.8.2: the default ChartMuseum binary used by Harness is v0.8.2.
  • ChartMuseum binary v0.12.0: to use ChartMuseum binary v0.12.0 you must enable the feature flag USE_LATEST_CHARTMUSEUM_VERSION. Contact Harness Support to enable the feature.

Helm OCI Chart Registry Support

Harness supports the following Helm OCI chart registries:

  • Amazon ECR
  • Azure Container Registry
  • DockerHub
  • JFrog Artifactory
  • Google Artifact Registry

Helm OCI chart support includes the following deployment types:

  • Native Helm
  • Helm charts with Kubernetes deployments.

Harness OCI chart registry support details:

  • You can use the Harness Helm OCI connector to authenticate Harness with any OCI compliant repository.
  • Harness can fetch the list of chart versions for a respective Helm chart. These versions can be passed at runtime as a parameter into the service.
  • You can define expressions for the Chart Name and Path settings, and, at runtime, Harness will resolve those expressions and let you pick a version.

Important notes

  • You cannot be trigger pipelines using the On New Manifest trigger if your service uses the OCI Helm connector.

Visual summary

Here's a quick video showing you how to add different types of manifests. It also describes how to add Helm charts and multiple values YAML files in the same repo as the chart, or in separate repos.

Artifacts and Helm charts

Harness supports image artifacts with Helm charts in the following ways.

Helm chart with hardcoded artifact

The image artifact is identified in the Helm chart values.yaml file. For example:

- name: nginx

If the image is hardcoded then you do not use the Artifacts section of the service. Any artifacts added here are ignored.

Helm chart using artifact added to the stage

You add an image artifact to the Artifacts section of the service and then reference it in the Helm chart values.yaml file.

Artifacts in the Artifacts section are referenced using the <+artifact.image> expression. For example:

image: <+artifact.image>
pullPolicy: IfNotPresent
dockercfg: <+artifact.imagePullSecret>

This is the same method when using artifacts with standard Kubernetes deployments. See Add Container Images as Artifacts for Kubernetes Deployments.

Add the Helm chart

Adding a Helm chart is a simple process of connecting Harness to the Git or HTTP Helm repo where your chart is located.

  1. In your CD stage, click Service.

  2. In Service Definition, select Kubernetes.

  3. In Manifests, click Add Manifest.

  4. In Specify Manifest Type, select Helm Chart, and click Continue.

  5. In Specify Helm Chart Store, select the type of repo or or cloud storage service (Google Cloud Storage, AWS S3) you're using.

For the steps and settings of each option, see the Connect to an Artifact Repo How-tos.

If you are using Google Cloud Storage or Amazon S3, see Cloud Platform Connectors.

You can also use a local Helm chart if you are deploying the same Helm chart and version to many clusters/namespaces in parallel. For information, see Use a local Helm Chart. For all of the Helm Chart Store types (Git, GitHub, HTTP Helm, OCI, etc), you will need to provide the following Helm info:

  • Manifest Identifier: Enter a name that identifies this Helm chart. It doesn't have to be the chart name. It can be the name of the service you are deploying or another name. Ex: helm_chart.

  • Chart name: Enter the name of the Helm chart for Harness to pull. Don't include the chart version. You will add that in the Chart Version setting. Ex: todolist.

  • Chart Version: Enter the version of the chart you want to deploy. This is found in the Chart.yaml version label in your chart. You can list all available versions of a chart using the search repo command with the --versions option. See helm search repo from Helm.

    • If you leave Chart Version empty Harness gets the latest chart.
    • If you are going to use a Harness trigger to run this pipeline when a new version is added to your chart repo, select the Runtime Input option. When you set up the trigger, you will select this chart and Harness will listen on the repo for new versions. See Trigger Pipelines on New Helm Chart. For example, 1.4.1.
  • Helm Version: Select the version of Helm used in your chart. See Helm Version Support Policy from Helm. For example, Version 2.

  • Values YAML: Your chart will have a default values.yaml file in its root folder.

    • If you do not enter a values.yaml in Values YAML, Harness uses the default values.yaml file in the root of the chart.
    • If you want to use a different values.yaml file, enter the path to that file.
    • For example, let's imagine a Helm Chart with the following Values YAML files:
    • dev-values.yaml
    • qa-values.yaml
    • prod-values.yaml
    • sample-chart/test-values.yaml

    You can specify the values YAML file based using a path to the file within the retrieved Helm chart.

    If you have additional values YAML files in the chart, and you want to use those to override some settings of the default values.yaml file for this deployment, you can enter the addition values YAML file(s) in Values YAML.

    For each additional values YAML file, specify its location within this chart. Enter the location from the root of the chart to the values.yaml file.

    If a values YAML file is located in a folder, enter the path from the root of the chart to the folder and values.yaml.

    The values YAML file(s) must be in this chart. You cannot enter a location to a values YAML file in a chart located somewhere else.If you use multiple files in Values YAML, priority is given from the last file to the first file.

    For example, let's say you have 3 files: the default values.yaml, values2.yaml added next, and values3.yaml added last.


    All files contain the same key:value pair.

    The values3.yaml key:value pair overrides the key:value pair of values2.yaml and values.yaml files.

    You can also select Expression and use Harness expressions in this setting. The resolved expression must be the name of a Values YAML file in the chart. For example, you could create a stage variable for values4.yaml named qa and then reference it in Values YAML like this: <>.

  • Skip Resource Versioning: By default, Harness versions ConfigMaps and secrets deployed into Kubernetes clusters. In some cases, such as when using public manifests or Helm charts, you cannot add the annotation. When you enable Skip Resource Versioning, Harness will not perform versioning of ConfigMaps and secrets for the resource. If you have enabled Skip Resource Versioning for a few deployments and then disable it, Harness will start versioning ConfigMaps and secrets.

  • Helm Command Flags: You can use Helm command flags to extend the Helm commands that Harness runs when deploying your Helm chart. Harness will run Helm-specific Helm commands and their flags as part of preprocessing. All the commands you select are run before helm install/upgrade.

  • Command Type: Select the Helm command type you want to use. For example:

    • Templatehelm template to render the helm template files.
    • Pullhelm pull (v2) to get the Helm chart.
  • Flag: Add any options for the command. Ex: --verify.

Here's an example:

If you haven't set up a Harness delegate, you can add one as part of the connector setup. This process is described in Helm CD Quickstart and Install a Kubernetes Delegate.

Once your Helm chart is added, it appears in the Manifests section. For example:

Using subcharts


This feature is currently behind the feature flag, NG_CDS_HELM_SUB_CHARTS. Contact Harness Support to enable this feature.

Helm charts can have dependencies called subcharts. You can define subcharts in your service YAML. Helm downloads these dependencies from exisiting or seperate repositories. Harness fetches the defined subcharts during pipeline execution.

Important notes

  • Helm subcharts are supported for the following deployment types only.
    • Kubernetes deployments using canary, blue/green, and rolling deployment strategies
    • Native Helm deployments using basic strategy
  • Harness Continuous Delivery (CD) captures the parent chart as the deployed instance. Harness Continuous Verification (CV) detects and verifies the parent chart as the deployed instance. CV cannot simultaneously verify all subcharts as deployed instances.

Service configuration

To configure Helm subcharts, you must define the subchart name and path in your service YAML.

To resolve dependencies, you must configure the Helm command Template with the flag, --dependency-update. This allows Harness to fetch your dependencies defined in Chart.yaml.


Helm charts store their dependencies in the charts/ folder. Make sure that all subcharts are located within the charts/ folder inside your parent chart. Look at the sample Harness respository for structural guidance.

Here is a sample directory:

- subchart1/
- templates/
- app.yaml
- Chart.yaml
- values.yaml

Here is a sample service YAML where a subchart is defined.

name: K8sHelmSubChart
identifier: K8sHelmSubChart
type: Kubernetes
- manifest:
identifier: m1
type: HelmChart
type: Github
connectorRef: gitHubAchyuth
gitFetchType: Branch
folderPath: parent-chart
branch: main
subChartName: first-child
skipResourceVersioning: false
enableDeclarativeRollback: false
helmVersion: V3
- commandType: Template
flag: "--dependency-update"
gitOpsEnabled: false

Pipeline execution of a Helm chart with subcharts

During pipeline execution, Harness fetches the subcharts and dependencies for the deployment based on the values in the service YAML.

You can see the subchart and the list of files fetched in the fetch section of the pipeline execution log.

You can see the template command with the --dependency-update flag running in the prepare section of the pipeline execution.

Reference the artifact

If the image artifact is not hardcoded in the Helm chart, add the artifact in Artifacts and use the expression <+artifact.image> in your values.yaml. For example:

image: <+artifact.image>
pullPolicy: IfNotPresent
dockercfg: <+artifact.imagePullSecret>

This is the same method when using artifacts with standard Kubernetes deployments. For more information, go to Add Container Images as Artifacts for Kubernetes Deployments.

Override chart values YAML in service

You can override the values YAML in the Helm chart by adding multiple values YAML files when you add the chart.

If you use multiple files, priority is given from the last file to the first file.

For example, let's say you have 3 files: the default values.yaml, values2.yaml added next, and values3.yaml added last.

Alt text

All files contain the same key:value pair. The values3.yaml key:value pair overrides the key:value pair of values2.yaml and values.yaml files.

Your values.yaml file can use Go templating and Harness built-in variable expressions.

See Example Kubernetes Manifests using Go Templating.

Override chart values YAML in environment

You can override the values YAML file for a stage's environment by mapping the environment name to the values file or folder. Next, you use the <> Harness expression in the values YAML path.

Let's look at an example.

Let's say there is a repo with three values YAML files, dev.yaml, qa.yaml. prod.yaml. In the Values YAML setting for the values file, you use the <> expression.

Next, in the environment setting, you add three environments, one for each YAML file name.

When you select an environment, such as qa, the name of the environment is used in File Path and resolves to qa.yaml. At runtime, the qa.yaml values file is used, and it overrides the values.yaml file in the chart.

Instead of selecting the environment in the Infrastructure each time, you can set the environment as a Runtime Input and then enter dev, qa, or prod at runtime.

Using multiple Helm charts in one Harness service

For Kubernetes Helm and Native Helm deployment types, you can add multiple Helm charts to a Harness service.

picture 0

When you run a Harness pipeline that deploys the service, you can select one of the Helm charts to deploy.

picture 1

By using multiple Helm charts, you can deploy the same artifact with different manifests at pipeline runtime.

Video summary of using multiple manifests

Helm chart expressions

For Kubernetes Helm and Native Helm deployments, you can use the following built-in expressions in your pipeline stage steps to reference chart details.

<>Helm chart name.
<+manifests.MANIFEST_ID.helm.description>Helm chart description.
<+manifests.MANIFEST_ID.helm.version>Helm Chart version.
<+manifests.MANIFEST_ID.helm.apiVersion>Chart.yaml API version.
<+manifests.MANIFEST_ID.helm.appVersion>The app version.
<+manifests.MANIFEST_ID.helm.kubeVersion>Kubernetes version constraint.
<+manifests.MANIFEST_ID.helm.metadata.url>Helm Chart repository URL.
<+manifests.MANIFEST_ID.helm.metadata.basePath>Helm Chart base path, available only for OCI, GCS, and S3.
<+manifests.MANIFEST_ID.helm.metadata.bucketName>Helm Chart bucket name, available only for GCS and S3.
<+manifests.MANIFEST_ID.helm.metadata.commitId>Store commit Id, available only when manifest is stored in a Git repo and Harness is configured to use latest commit.
<+manifests.MANIFEST_ID.helm.metadata.branch>Store branch name, available only when manifest is stored in a Git repo and Harness is configured to use a branch.

The MANIFEST_ID is located in service.serviceDefinition.spec.manifests.manifest.identifier in the Harness service YAML. In the following example, it is nginx:

name: Helm Chart
identifier: Helm_Chart
tags: {}
- manifest:
identifier: nginx
type: HelmChart
type: Http
connectorRef: Bitnami
chartName: nginx
helmVersion: V3
skipResourceVersioning: false
- commandType: Template
flag: mychart -x templates/deployment.yaml
type: Kubernetes

Define the infrastructure

There is nothing unique about defining the target cluster infrastructure definition for a Helm chart deployment. It is the same process as a typical Harness Kubernetes deployment.

For more information, go to Define Your Kubernetes Target Infrastructure.

Pre-existing and dynamically provisioned infrastructure

There are two methods of specifying the deployment target infrastructure:

  • Pre-existing: the target infrastructure already exists and you simply need to provide the required settings.
  • Dynamically provisioned: the target infrastructure will be dynamically provisioned on-the-fly as part of the deployment process.

For details on Harness provisioning, go to Provisioning overview.

Execution steps

Helm charts can be deployed using any of the execution steps and deployment strategies used in other Kubernetes deployments. For more information, go to Kubernetes How-tos.


Each Helm chart deployment is treated as a release. During deployment, when Harness detects that there is a previous release for the chart, it upgrades the chart to the new release.

In your pipeline, click Run.

The Helm chart deployment runs.

You will see Harness fetch the Helm chart. Here is an example:

Helm repository: Bitnami Helm Repo  

Chart name: nginx

Chart version: 9.4.1

Helm version: V3

Repo url:

Successfully fetched values.yaml

Fetching files from helm chart repo

Helm repository: Bitnami Helm Repo

Chart name: nginx

Helm version: V3

Repo url:

Successfully fetched following files:

- nginx/.helmignore
- nginx/charts/common/.helmignore
- nginx/charts/common/templates/validations/_postgresql.tpl
- nginx/charts/common/templates/validations/_cassandra.tpl
- nginx/charts/common/templates/validations/_mongodb.tpl
- nginx/charts/common/templates/validations/_mariadb.tpl
- nginx/charts/common/templates/validations/_validations.tpl
- nginx/charts/common/templates/validations/_redis.tpl
- nginx/charts/common/templates/_ingress.tpl
- nginx/charts/common/templates/_names.tpl
- nginx/charts/common/templates/_affinities.tpl
- nginx/charts/common/templates/_storage.tpl
- nginx/charts/common/templates/_utils.tpl
- nginx/charts/common/templates/_errors.tpl
- nginx/charts/common/templates/_capabilities.tpl
- nginx/charts/common/templates/_secrets.tpl
- nginx/charts/common/templates/_warnings.tpl
- nginx/charts/common/templates/_tplvalues.tpl
- nginx/charts/common/templates/_images.tpl
- nginx/charts/common/templates/_labels.tpl
- nginx/charts/common/Chart.yaml
- nginx/charts/common/values.yaml
- nginx/charts/common/
- nginx/Chart.lock
- nginx/templates/svc.yaml
- nginx/templates/health-ingress.yaml
- nginx/templates/ldap-daemon-secrets.yaml
- nginx/templates/tls-secrets.yaml
- nginx/templates/NOTES.txt
- nginx/templates/pdb.yaml
- nginx/templates/ingress.yaml
- nginx/templates/server-block-configmap.yaml
- nginx/templates/serviceaccount.yaml
- nginx/templates/hpa.yaml
- nginx/templates/servicemonitor.yaml


Next, Harness will initialize and prepare the workloads, apply the Kubernetes manifests, and wait for steady state.

In Wait for Steady State you will see the workloads deployed and the pods scaled up and running (the release name has been shortened for readability):

kubectl --kubeconfig=config get events --namespace=default --output=custom-columns=KIND:involvedObject.kind,,NAMESPACE:.involvedObject.namespace,MESSAGE:.message,REASON:.reason --watch-only  

kubectl --kubeconfig=config rollout status Deployment/ --namespace=default --watch=true

Status : Waiting for deployment spec update to be observed...

Event : Deployment default Scaled up replica set to 1 ScalingReplicaSet

Status : Waiting for deployment spec update to be observed...

Status : Waiting for deployment "" rollout to finish: 0 out of

Event : ReplicaSet default Created pod: SuccessfulCreate

Status : Waiting for deployment "" rollout to finish: 0 of 1 updated replicas are available...

Event : Pod default Successfully assigned default/ to gke-doc-account-default-pool-d910b20f-argz Scheduled

Event : Pod default Pulling image "" Pulling

Event : Pod default Successfully pulled image "" in 3.495150157s Pulled

Event : Pod default Created container nginx Created

Event : Pod default Started container nginx Started

Status : deployment "" successfully rolled out


You deployment is successful.

Helm Steady State Check

Harness has two ways of performing Helm Steady State Checks for Native Helm Deployment types (Helm Deployments managed by Helm). Depending on your use case and needs you can opt into either option via the setting. By default, Harness will perform a Helm Steady State Check on the deployed resources however, the mechanism of how Harness' does it differs based on the setting.

Disabled Setting - Native Helm steady state for jobs - Default Mode

Harness will check for the steady state of the deployed resources via the ConfigMap Harness generates to manage and track the deployment. The limitation of this method, is we do not track Kubernetes Jobs objects that are being created as part of the deployment and wait for them to reach a steady state.

Helm Steady State with Setting Disabled

kubectl --kubeconfig=config get events --namespace=default --output=custom-columns=KIND:involvedObject.kind,,NAMESPACE:.involvedObject.namespace,MESSAGE:.message,REASON:.reason --watch-only  

kubectl --kubeconfig=config rollout status Deployment/ --namespace=default --watch=true

Enable Setting - Native Helm steady state for jobs

By Default, Harness will check for the steady state of deployed Helm resources. If you want to check the steady state for Kubernetes jobs for Native Helm Deployments, we now have a setting that will enable that. Please navigate to Account Settings > Account Resources > Default Settings and navigate to the Continuous Deployment Section. This setting can be configured at the project, organization, and account level. You will see the option Enable Native Helm steady state for jobs this will check the steady state of the jobs deployed with the Helm Chart. With the checkbox configuration enabled, during a Native Helm Deployment, you will see Harness use the helm get manifest <> command to get the details to check the steady state. With the setting enabled, we are no longer using the ConfigMap to check for status.

Helm Steady State with Setting Enabled

Retrieve helm manifest from release [release-75d461a29efd32e5d22b01dc0f93aa5275e2f003] and namespace [default]
Executing command - KUBECONFIG=/opt/harness-delegate/./repository/helm/.kube/1f8e53c52248bbf69fe59fdbe5c0b3b5 helm get manifest release-75d461a29efd32e5d22b01dc0f93aa5275e2f003 --namespace=default
Currently running Containers: [0]


Versioning and rollback

Helm chart deployments support versioning and rollback in the same way as standard Kubernetes deployments.

For more information, go to Kubernetes Rollback.

Trigger the pipeline on a new chart version

You can set up a Harness trigger to listen on the chart repo and execute the pipeline when a new chart version appears. For more information, go to Trigger Pipelines on New Helm Chart.

Fetch Helm chart dependencies

Harness can fetch Helm chart dependencies within GitHub using the --dependency-update command flag.

Harness fetches dependent Helm charts along with the main Helm chart used for the deployment. Dependencies are resolved before Harness performs the deployment of the main Helm chart.

For more information, go to Helm Docs.

To update Helm chart dependencies:

  • For Kubernetes with Helm deployments (as described in this topic), configure Helm Command Flags with the Template command type and --dependency-update flag.

  • For Native Kubernetes deployments, add the command flag --depdency-update to the Install and Upgrade command types.


All dependency repositories must be available and accessible from the Harness Delegate(s) used by the deployment.

Service hooks

Kubernetes and Helm deployments use service hooks to fetch Helm Chart dependencies that refer to Git and other repositories, and install them with the main Helm Chart.

Harness supports two types of service hooks: preHook and postHook. These are the service hook actions supported by Harness:

  • Fetch files: Service hooks can be triggered before or after the manifest files are fetched.
  • Manifest templates: Service hooks can be triggered before or after the manifest has been rendered.
  • Steady state check: Service hooks can be triggered before or after the steady state check.

Each service hook has its own context variable:

ActionContext Variable and Description
Fetch files$MANIFEST_FILES_DIRECTORY: The path to the directory from where the manifest files can be downloaded.
Manifest template$MANIFEST_FILES_DIRECTORY: The path to the directory where the original Kubernetes template is located.
$MANIFEST_FILE_OUTPUT_PATH: The path to the final manifest.yaml file.
Steady state check$WORKLOADS_LIST: The comma separated list of all workloads.
$MANAGED_WORKLOADS: The comma separated list of workloads managed by Harness.
$CUSTOM_WORKLOADS: The comma separated list of custom workloads.

You can use service hooks to run additional configurations when carrying out the actions above. For example, when you run a deployment, you must fetch files first. After fetching the files, you can resolve the secrets of those encrypted files using Helm secrets, SOPS, AGE keys, and so on. You can use the context variables above during deployment. For more details, go to Using shell scripts in CD stages.

Here are some sample service hook YAMLs:

- preHook:
identifier: sample
storeType: Inline
- FetchFiles
- TemplateManifest
- SteadyStateCheck
content: echo "sample Hook for all action"
- postHook:
identifier: dependency
storeType: Inline
- FetchFiles
content: |
helm repo add test-art-remote --username automationuser --password <+secrets.getValue("reposecret")>
helm dependency build
cd charts
- postHook:
identifier: cdasd
storeType: Inline
- FetchFiles
content: |-
source $HOME/.profile
export SOPS_AGE_KEY=<+secrets.getValue("agesecret")>
helm secrets decrypt secrets.enc.yaml
helm secrets decrypt secrets.enc.yaml > secrets.yaml

For more information about Helm dependencies, go to Helm dependency and Helm dependency update.

Video summary

Use case: Add private repositories as a Helm Chart dependency

  1. Add a repository in Helm using the following script:

    helm repo add test-remote-name --username
    <+secrets.getValue("username")> --password <+secrets.getValue("password")>
  2. Add the required name and version of the dependency in the Chart.yaml to reference these dependencies.

    The repository name starts with @ followed by the name you used for the repository in your script.

    apiVersion: v1
    appVersion: "1.0"
    description: A Helm chart for Kubernetes
    name: todolist
    version: 0.2.0

    - name: trivy-operator
    version: "0.1.9"
    repository: ""
    - name: kube-prometheus-stack
    version: "16.13.0"
    repository: "@test-art-remote"
  3. Run the --dependency-update command flag in the manifest configuration to update dependencies as shown in the image below:

Use case: Use secrets to encrypt and decrypt files

  1. Install SOPS or AGE keys to generate a public key to encrypt files.

  2. Enter the following commands to encrypt and save your files in your Git repository:

    sops --encrypt --age $SOPS_AGE_KEY secrets.yaml > secrets.enc.yaml

    This command creates a secrets.yaml file.

  3. Enter the following commands to decrypt the secrets.yaml file and use it to resolve the values in your Chart. This file will be used to override values wherever required:

    cd $MANIFEST_FILES_DIRECTORY    //go to the directory containing manifest-files
    export SOPS_AGE_KEY=<+secrets.getValue("agesecret")> // export the PRIVATE Key to be used to decrypt
    sops --decrypt secrets.enc.yaml // you can decrypt using sops
    helm secrets decrypt secrets.enc.yaml // or by using helm secrets
    helm secrets decrypt secrets.enc.yaml > secrets.yaml // store the decrypted file in a temporary folder
  4. Add the --dependency-update -f secrets.yaml command flag in the manifest configuration to resolve the values. Please remember that files submitted through this method take precedence, followed by the override files set in the Harness service. Avoid using encrypted files as overrides as they will replace decrypted values with encrypted ones. An example on how to configure this is shown in the image below:

Uninstall command flag

If you want to use the uninstall command in the Manifest Details, be aware of the following:

  • When the deployment is successful, Harness won't execute this command.
  • If the deployment fails on the very first execution, then Harness will apply the --uninstall flag itself. You can see this in the logs under Wait For Steady State.
  • If you want to pass in some command flags when Harness performs the --uninstall, enter uninstall in Manifest Details and enter in the relevant command flags.

Authentication for Google Cloud with Helm OCI connector

To configure authentication for GCP with a Helm OCI connector, you must provide the username and password to your Google service account.

Username: A _json_key or _json_key_base64. We recommend that you use the json_key_base64 to encode your Google service account file to base64.

Password: Your Google service account file content.

Active Feature Flags


To enable a feature flag in your Harness account, contact Harness Support.

CDS_HELM_STEADY_STATE_CHECK_1_16 Enables steady state check for Helm deployments on Kubernetes clusters using 1.16 or higher.
CDS_HELM_VERSION_3_8_0Sets the default version of Helm to 3.8 when using the Harness Helm delegate.
CDS_DISABLE_HELM_REPO_YAML_CACHEDisables Helm repository caching on the Harness delegate. Please use the flag if you encounter the `context deadling exceeded` error during parallel Helm deployments. Note that this is a result of known Helm concurrency issue. By turning on the flag, there might be slight performance degradation in case of very large Helm repositories.
CDS_K8S_SOCKET_CAPABILITY_CHECK_NGReplaces the HTTP capability check for the Harness Kubernetes connector with socket capability.
CDS_HELM_STEADY_STATE_CHECK_1_16_V2_NG There is a behavior change in how Harrness tracks managed workloads for rollback. We are not using anymore a Config Map matching the deployed resources release name to track managed workloads for rollback. We will use `helm get manifest` to retrieve the workloads from a helm release. For steady-state checks of the kubernetes jobs, we’re planning to provide an option in account/org/project settings, by default we will not do this. For customer's who didn't have this feature flag enabled before, they may start seeing that the Wait for steady state check will not be skipped and will need to configure it.
CDS_HELM_SEND_TASK_PROGRESS_NGFor Helm tasks, this enables the sending of task progress events via log streaming.
CDS_HELM_FETCH_CHART_METADATA_NGExposes Helm Chart expressions for reference in other steps and settings.
CDS_OCI_HELM_ECR_CONFIG_SUPPORT_NGSupport for ECR as an OCI Helm repo but with temporary credentials.