Continuous deployment starts with Kubernetes clusters, and Codefresh integrates with any known cluster provider for Kubernetes through a few simple steps. Connect your Google, Azure, or Amazon Kubernetes cluster to Codefresh through simple integration steps.

For those Kubernetes clusters that are not in our list of cluster providers, you can manually enter your cluster settings to add any generic Kubernetes cluster.

Connecting your Kubernetes cluster to the CI/CD platform is the first step in continuous deployment. Codefresh integrates with any known cluster provider for Kubernetes through a few simple steps. Connect your Google, Azure, or Amazon Kubernetes cluster to Codefresh through simple integration steps. If your Kubernetes clusters is not our list of cluster providers, you can manually enter your cluster settings and add it as a generic Kubernetes cluster.

See[Connecting a Kubernetes cluster]({{site.baseurl}}/docs/integrations/kubernetes/#connect-a-kubernetes-cluster).

Codefresh offers a variety of options for you to choose from when deploying to Kubernetes.

Deploy to Kubernetes from the Codefresh UI or programmatically through dedicated steps in pipelines, avoiding the need for`kubectl` commands.

Deploy to Kubernetes from the Codefresh UI, or programmatically through dedicated steps in pipelines avoiding the need for`kubectl` commands.

**On-demand deployment**

For quick and easy deployment, deploy on-demand from the Codefresh UI.

Codefresh pipelines also support Kustomize and Helm for deployments through freestyle steps.

Finally, if you are familiar with and want to work with`kubectl`, run your own custom`kubectl` commands in a freestyle step. Read more in[kubectl](#kubectl).

Finally, if you are familiar with andstillwant to work with`kubectl`, run your own custom`kubectl` commands in a freestyle step. Read more in[kubectl](#kubectl).

See[Deployment options for Kubernetes]({{site.baseurl}}/docs/deployments/kubernetes/deployment-options-to-kubernetes/).

`kubectl` is the command line interface for managingkubernetes clusters. Running custom`kubectl` commands in a freestyle step gives maximum flexibility with cluster deployments.

`kubectl` is the command line interface for managingKubernetes clusters. Running custom`kubectl` commands in a freestyle step gives maximum flexibility with cluster deployments.

Codefresh automatically sets up your config context with your connected clusters. The config context is the value of the`$CF_KUBECONFIG_PATH` variable, which expands to`/codefresh/volume/sensitive/.kube/config` within the shared step volume.

Codefresh has a public Docker image for kubectl at[Docker Hub](https://hub.docker.com/r/codefresh/kubectl/tags){:target="\_blank"} that you can use.

Deploy the Helm chart to a Kubernetes cluster, Helm repo, or both.

Dashboards are key to providing the right information at the right time. Codefresh makes it easy to both access and visualize critical information for any CI/CD resource at any stage, at any level, and for anyone, from managers to DevOps engineers.

TBD

Kubernetes

Helm dashboards

Helm Releases

The Helm Releases dashboard provides a unique view into your production Kubernetes cluster, and actions for deployed releases. See the current status of your cluster, including the currently deployed releases, their previous revisions with change tracking, and even roll back to a previous release.

Helm promotions

Codefresh also comes with a special environment board that allows you to track one or more applications as they move within your infrastructure (e.g., Dev, QA, Prod).

The environment board can function both as an overview of the whole lifecycle of the application as well as a tool to shift-left/right Helm releases between environments.

**DORA metrics**

Second, we’re announcing The Universal Dashboard with DORA metrics. User’s of Codefresh’s GitOps Control Plane have enjoyed being able to navigate across many instances of GitOps runtimes (an enterprise version of Argo CD/Rollouts). We’re greatly amplifying those capabilities with the Universal Dashboard by automatically pulling out critical metrics. The holy grail of DevOps metrics are DORA (DevOps Research and Assessment) which include deployment frequency, lead time for changes, mean time to recovery, and change failure rate.

Codefresh is a Continuous Integration/Delivery solution. This article reviews CI concepts and how Codefresh supports and implements them.

Codefresh is a Continuous Integration/Delivery solution. This article reviewsmainCI concepts and how Codefresh supports and implements them.