Create environments
Environments represent your deployment targets (QA, Prod, etc). Each environment contains one or more Infrastructure Definitions that list your target clusters, hosts, namespaces, etc.
Create an environment
You can create environments from:
- Within a pipeline
- Outside a pipeline
- An account
- An Organization
- Within a pipeline
- Outside a pipeline
- From organization or account
To create an environment from inside of a pipeline, select New Environment in the Infrastructure tab of a new CD stage.
To create an Environment from outside of a pipeline, you use Environments in the navigation pane.
You can create an environment and provide infrastructure definitions at an account or organization level from the Harness UI, using APIs or Terraform.
- Pipeline Studio
- API
- Terraform
To create an environment at an account or organization level, go to Organization Resources >Environments.
Expand the section below to see a sample account level environment YAML.
Account level environment YAML
environment:
name: dev
identifier: dev
description: account wide dev environment
tags:
status: non-regulated
type: PreProduction
variables:
- name: port
type: String
value: "8080"
description: ""
- name: namespace
type: String
value: <+service.name>-dev
description: "namespace environment variable"
Expand the section below to see a sample account level infrastructure definition YAML.
Account level infrastructure definition YAML
infrastructureDefinition:
name: dev-k8s
identifier: dev
description: development Kubernetes cluster
tags: {}
environmentRef: dev
deploymentType: Kubernetes
type: KubernetesDirect
spec:
connectorRef: account.Harness_Kubernetes_Cluster
namespace: <+service.name>-dev
releaseName: release-<+INFRA_KEY>
allowSimultaneousDeployments: false
Expand the section below to see a sample organization level environment YAML.
Organization level environment YAML
environment:
name: prod
identifier: prod
description: production environment for the organization
tags:
status: regulated
type: Production
orgIdentifier: default
variables:
- name: namespace
type: String
value: <+service.name>-prod
description: "namespace for prod environment"
- name: port
type: String
value: "8080"
description: "port for prod environment"
Expand the section below to see a sample organization level infrastructure definition YAML.
Organization level infrastructure definition YAML
infrastructureDefinition:
name: prod-k8s
identifier: prodk8s
description: production kubernetes cluster
tags: {}
orgIdentifier: default
environmentRef: prod
deploymentType: Kubernetes
type: KubernetesDirect
spec:
connectorRef: account.Harness_Kubernetes_Cluster
namespace: production
releaseName: release-<+INFRA_KEY>
allowSimultaneousDeployments: false
For information about creating an environment API, go to create an environment.
For information about creating infrastructure definition API, go to create an infrastructure in an environment.
The orgIdentifier
and projectIdentifier
field definitions are optional, and depend on where you want to create the environment. For example, if you create an environment at an account level, you will not need org or project identifiers in the post API call payload.
For information about creating a Harness platform environment, go to harness_platform_environment (Resource).
Expand the section below to see a sample platform environment in Terraform.
Harness platform environment
resource "harness_platform_environment" "example" {
identifier = "identifier"
name = "name"
org_id = "org_id"
project_id = "project_id"
tags = ["foo:bar", "baz"]
type = "PreProduction"
## ENVIRONMENT V2 Update
## The YAML is needed if you want to define the Environment Variables and Overrides for the environment
## Not Mandatory for Environment Creation nor Pipeline Usage
yaml = <<-EOT
environment:
name: name
identifier: identifier
orgIdentifier: org_id
projectIdentifier: project_id
type: PreProduction
tags:
foo: bar
baz: ""
variables:
- name: envVar1
type: String
value: v1
description: ""
- name: envVar2
type: String
value: v2
description: ""
overrides:
manifests:
- manifest:
identifier: manifestEnv
type: Values
spec:
store:
type: Git
spec:
connectorRef: <+input>
gitFetchType: Branch
paths:
- file1
repoName: <+input>
branch: master
configFiles:
- configFile:
identifier: configFileEnv
spec:
store:
type: Harness
spec:
files:
- account:/Add-ons/svcOverrideTest
secretFiles: []
EOT
}
For information about creating a Harness platform infrastructure definition, go to harness_platform_infrastructure (Resource).
Expand the section below to see a sample platform infrastructure definition in Terraform.
Harness platform infrastructure definition
resource "harness_platform_infrastructure" "example" {
identifier = "identifier"
name = "name"
org_id = "orgIdentifer"
project_id = "projectIdentifier"
env_id = "environmentIdentifier"
type = "KubernetesDirect"
deployment_type = "Kubernetes"
yaml = <<-EOT
infrastructureDefinition:
name: name
identifier: identifier
description: ""
tags:
asda: ""
orgIdentifier: orgIdentifer
projectIdentifier: projectIdentifier
environmentRef: environmentIdentifier
deploymentType: Kubernetes
type: KubernetesDirect
spec:
connectorRef: account.gfgf
namespace: asdasdsa
releaseName: release-<+INFRA_KEY>
allowSimultaneousDeployments: false
EOT
}
The org_id
and project_id
field definitions are optional, and depend on where you want to create the environment. For example, if you create an environment at an account level, you will not need org or project identifiers.
Define the environment configuration
In the environment Configuration, you can manage the Name, Description, Tags, and Environment Type of the environment.
You can also set default manifests, specifications, config files, and variables to use whenever Harness deploys a service to this environment.
For example, a stage has a Kubernetes service with a manifest but whenever that service is deployed to the QA environment, the manifest in that environment's Configuration overwrites the namespace of with the manifest in the service with QA
.
Create service overrides
Service overrides are different from Environment Configuration in the following ways:
- Environment Configuration: applies to every service that is used with the environment.
- Environment Service Overrides: applies to specific services you select. Whenever that service is used with that environment, the Service Override is applied.
Override priority
When you are using environment configuration and service override to override service settings, it's important to understand the priority of the overrides.
The priority from top to bottom is:
- Environment service overrides
- Environment configuration
- Service settings
Overriding values.yaml
You can specify values YAML files at the environment's Service Overrides and Configuration, and the service itself.
Here is an example of specifying it at the environment's Configuration:
When you have a values yaml file at two or more of the environment Service Overrides, Environment Configuration, and the service itself, Harness merges the files into a single values YAML for deployment. This merging is performed at pipeline execution runtime.
Overriding occurs when the higher priority setting has the same name:value
pair as a lower priority setting.
Let's look at two examples.
Merging values.yaml name:value pairs
An environment's Service Overrides values YAML has the name:value pair servicePort: 80
but no replicas
name:value.
A service's Service Definition has a values YAML with replicas: 2
but no servicePort
name:value.
At runtime, the two values YAML files are merged into one.
The servicePort: 80
from the environment Service Overrides values YAML is merged with the Service Definition's replicas: 2
in the values YAML:
Fully overriding values.yaml name:value pairs
An environment's Service Overrides values YAML has the name:value pairs replicas: 2
and servicePort: 80
.
A service's Service Definition has a values YAML with replicas: 4
and servicePort: 8080
.
At runtime, the name:value pairs from the environment Service Overrides values YAML fully override the service values YAML. The replicas: 2
and servicePort: 80
from the environment Service Overrides are used.
Fully overriding config files and variables
Config files are a black box that can contain multiple formats and content, such as YAML, JSON, plain text, etc. Consequently, they cannot be overridden like Values YAML files.
Variables cannot be partially overridden either. They are completely replaced.
When you have Config files at two or more of the environment Service Overrides, Configuration, and the service itself, the standard override priority is applied.
When you have Variables with the same name at two or more of the environment Service Overrides, Configuration, and the service itself, the standard override priority is applied.
Add infrastructure definitions
Infrastructure definitions represent an environment's infrastructures physically. They are the actual clusters, hosts, namespaces, etc, where you are deploying a service.
An environment can have multiple Infrastructure Definitions.
When you select an environment in a stage, you can select the Infrastructure Definition to use for that stage.
Define GitOps clusters
When you use Harness GitOps you can add GitOps clusters to an environment.
To learn more about Harness GitOps, go to Harness GitOps basics.
Next, when you create a pipeline, you can select the environment and the GitOps cluster(s) to use.
GitOps clusters are used in a PR pipeline. A PR pipeline creates and merges a Git PR on the config.json
for a destination cluster as part of an ApplicationSet. The PR Pipeline runs, merges a change to the config.json, and a GitOps sync on the ApplicationSet is initiated.
GitOps Clusters are not used in standard CD pipelines. They're used when using GitOps only.
Runtime inputs and expressions in environments
If you use runtime inputs in your environments, you will need to provide values for these when they run pipeline using these environments.
If you use expressions in your environments, Harness must be able to resolve these expressions when users run pipeline using these environments.
Select Runtime input for the environment.
When you run the pipeline, you can select the environment for their runtime inputs.
For more information on runtime inputs and expressions, go to fixed values, runtime inputs, and expressions.