What can I deploy in Kubernetes?

Differences between managed and unmanaged workloads.

Harness deployments involve different strategies and steps. These strategies and steps support different Kubernetes objects as managed and unmanaged workloads.

This topic describes the differences between Harness managed and unmanaged workloads and the objects supported by each deployment strategy.

Managed and Unmanaged Workloads

In Harness, a managed Kubernetes workload is a Kubernetes object deployed and managed to steady state. If steady state is not reached, the deployment is considered a failure and the Failure Strategy is executed (typically rollback).

An unmanaged workload is a workload deployed separate from your primary workload, such as Kubernetes Jobs. Harness does not track these workload versions or perform rollback on them.

Canary and Blue Green Strategies

Harness Canary and Blue Green steps support a single Deployment. You cannot deploy 0 or more than 1 Deployment.

Rolling (Rollout) Strategy

Rolling strategy steps support Deployment, or DaemonSet as managed workloads, but not other workloads such as Jobs.

Apply Step

The Apply Step can deploy any workloads or objects in any strategy as a managed workload. You can select whether or not to skip steady state check.

OpenShift

Harness supports OpenShift DeploymentConfig in OpenShift clusters as a managed workload across Canary, Blue Green, and Rolling deployment strategies. Use apiVersion: apps.openshift.io/v1 and not apiVersion: v1.

Deploy Unmanaged Workloads using Annotation

To deploy an object outside of the managed workloads in any strategy, you use the Harness annotation to make it unmanaged: harness.io/direct-apply: "true"|"false". Set to true to make a manifest an unmanaged workload.

For example, Harness Canary and Blue Green steps support a single Deployment, but you can deploy additional workloads as unmanaged using the harness.io/direct-apply annotation.

The following tables list the differences between the managed and unmanaged workloads for the different Kubernetes steps.

Managed Workloads Table

In Harness, a managed Kubernetes workload is a Kubernetes object deployed and managed to steady state. If steady state is not reached, the deployment is considered a failure and the Failure Strategy is executed (typically rollback).

	Apply	Rolling	Rollback	Blue Green	Canary	Scale
Deployment	Yes	Yes	Yes	Yes
1 Deployment allowed	Yes
1 Deployment allowed	Yes
DaemonSet	Yes	Yes	Yes	No	No	Yes
HorizontalPodAutoscaler	No	No	No	Yes
Behind the feature flag, CDS_SUPPORT_HPA_AND_PDB_NG.	Yes
Behind the feature flag, CDS_SUPPORT_HPA_AND_PDB_NG.	No
PodDisruptionBudget	No	No	No	Yes
Behind the feature flag, CDS_SUPPORT_HPA_AND_PDB_NG.	Yes
Behind the feature flag, CDS_SUPPORT_HPA_AND_PDB_NG.	No
CRDs	Yes	Yes	Yes	No	No	No
Any Object	Yes	No	No	No	No	No

Unmanaged Workloads Table

To deploy an object outside of the managed workloads in any strategy, you use the Harness annotation to make it unmanaged: harness.io/direct-apply: "true"|"false". Set to true to make a manifest an unmanaged workload.

For example, Harness Canary and Blue/Green steps support a single Deployment but you can deploy additional workloads as unmanaged using the harness.io/direct-apply:true annotation.

	Apply	Rolling	Rollback	Blue Green	Canary	Scale
Any Object	Yes	Yes	No	Yes:
1 Deployment allowed	Yes:
1 Deployment allowed	No