Get Started with the CLI to Deploy Apps
Before you begin
- Make sure that your organization has completed the onboarding steps in Get Started with Armory CD-as-a-Service. That guide describes how to prepare your deployment target so that you can use the CLI to deploy apps to it.
- You have login credentials for Armory CD-as-a-Service.
Supported Operating Systems
The Armory Version Manager and CLI are only supported on Linux and Mac OSX.They do not run on Windows.
Install the Armory CD-as-a-Service CLI
Docker image
Armory provides the CD-as-a-Service CLI as a Docker image.
docker pull armory/armory-cli
Local installation
You can install the Armory Version Manager (AVM) and CLI using a one-line command or you can download the AVM manually.
The AVM enables you to quickly and easily download, install, and update the CLI. The AVM includes additional features such as the ability to list installed CLI versions and to declare which version of the CLI to use.
You can install the CLI with a one-line script that does the following:
- Fetches the correct Armory Version Manager binary (
avm
) for your Linux or Mac OSX operating system - Installs the AVM binary
- Uses the AVM to install the CLI binary (
armory
) - Adds the AVM and the CLI to the path in your bash or zsh profile
Execute the following script on the machine that has access to your Kubernetes cluster:
curl -sL go.armory.io/get-cli | bash
After installation completes, you should start a new terminal session or source your profile.
-
Download the AVM for your operating system and CPU architecture. You can manually download it from the repo or use the following command:
curl -LO https://github.com/armory/avm/releases/latest/download/avm-<os>-<architecture>
For example, the following command downloads the latest version for macOS (Darwin):
curl -LO https://github.com/armory/avm/releases/latest/download/avm-darwin-amd64
You can see the full list of available releases in the repo.
-
Give AVM execute permissions. For example (on macOS):
chmod +x avm-darwin-amd64
-
Confirm that
/usr/local/bin
is on yourPATH
:echo $PATH
The command returns your
PATH
, which should now include/usr/local/bin/
. -
Rename the AVM binary to
avm
and move it to/usr/local/bin
, which is on yourPATH
. For example (on macOS):mv avm-darwin-amd64 /usr/local/bin/avm
-
Run the following command to install the CLI:
avm install
The command installs the CLI and returns a directory that you need to add to your path, such as
/Users/milton/.avm/bin
.If you get an
developer cannot be identified error
when trying to run AVM, you must allow AVM to run.Show me how to allow AVM to run.
On macOS, go to System Preferences > Security & Privacy > General and click Allow Anyway.
For more information, see the macOS documentation about how to open a Mac app from an unidentified developer.
-
Add the directory that AVM returned when you ran
avm install
to your path.Show me how to add the directory.
You can either add the path directly to
/etc/paths
or add it to your shell profile. The following steps describe how to add it to your shell profile:-
Edit the resource file for your shell, such as
.bashrc
,.bash_profile
, or .zshrc
. For example:vi ~/.bashrc
-
In the file, find the line for the
PATH
that your resource file exports. They follow the formatexport PATH=$HOME/bin:/usr/local/bin:$PATH
. -
Insert the path provided by AVM (such as
/Users/brianle/.avm/bin
) before the ending$PATH
. The line should look similar to this:export PATH=$HOME/bin:/usr/local/bin::/Users/milton/.avm/bin:$PATH
-
Save the file.
-
Reload your terminal, open a new session, or
source
your terminal profile file (for example,source .bash_profile
).
-
-
Run the following command to verify that the CLI is installed:
armory
The command returns basic information about the CLI, including available commands.
For the AVM or the CLI, you can use the -h
flag for more information about specific commands.
See the Armory Version Manager Cheatsheet and CLI Cheatsheet pages for more information on AVM and CLI commands.
Manually deploy apps using the CLI
Armory CD-as-a-Service manages your Kubernetes deployments using ReplicaSet resources. During the initial deployment of your application using Armory CD-as-a-Service, the underlying Kubernetes deployment object is deleted in a way that it leaves behind the ReplicaSet and pods so that there is no actual downtime for your application. These are later deleted when the deployment succeeds.
Before you can deploy, make sure that you have the Client ID and Client Secret for your deployment target available. These are used to authenticate Armory’s hosted deployment services with the target cluster. The credentials were created and tied to your deployment target as part of the Get Started with Armory CD-as-a-Service guide.
Since you are using the CLI, you do not need to have service account credentials for authenticating your CLI to the deployment services. Instead, you log in manually with your user account.
If this is the first deployment of your app, Armory CD-as-a-Service automatically deploys the app to 100% of the cluster since there is no previous version. Subsequent deployments of this app follow the steps defined in your deployment file.
-
Log in to Armory’s hosted deployment services from the CLI.
armory login
The CLI returns a
Device Code
and opens your default browser. To complete the log in process, confirm the code in your browser.After you successfully authenticate, the CLI returns a list of tenants if you have access to more than one. Select the tenant you want to access. Note that most users only have access to one tenant. If you have access to several tenants, you can can log in directly to your desired tenant with
armory login -e '<tenant>'
. -
Generate your deployment template and output it to a file.
For example, this command generates a deployment template for canary deployments and saves it to a file named
canary.yaml
:armory template kubernetes canary > canary.yaml
-
Customize your deployment file by setting the following minimum set of parameters:
-
application
: The name of your app. -
targets.<deploymentName>
: A descriptive name for your deployment. Armory recommends using the environment name. -
targets.<deploymentName>.account
: This is the name of your RNA. If you installed the RNA manually, it is the value that you assigned to theagentIdentifier
parameter. -
targets.<deploymentName>.strategy
: the name of the deployment strategy you want to use. You define the strategy instrategies.<strategy-name>
. -
manifests
: a map of manifest locations. This can be a directory ofyaml (yml)
files or a specific manifest. Each entry must use the following convention:- path: /path/to/directory-or-file
-
strategies.<strategy-name>
: the list of your deployment strategies. Use one of these fortargets.<target-cluster>.strategy
. If you are using a canary strategy, each strategy in this section consists of a map of steps for your deployment strategy in the following format:strategies: my-demo-strat: # Name that you use for `targets.<deploymentName>.strategy - canary # The type of deployment strategy to use. steps: - setWeight: weight: <integer> # What percentage of the cluster to roll out the manifest to before pausing. - pause: duration: <integer> # How long to pause before deploying the manifest to the next threshold. unit: <seconds|minutes|hours> # The unit of time for the duration. - setWeight: weight: <integer> # The next percentage threshold the manifest should get deployed to before pausing. - pause: untilApproved: true # Wait until a user provides a manual approval before deploying the manifest
Each step can have the same or different pause behaviors. Additionally, you can configure as many steps as you want for the deployment strategy, but you do not need to create a step with a weight set to 100. Once Armory CD-as-a-Service completes the last step you configure, the manifest gets deployed to the whole cluster automatically.
A deployment times out if the pods for your application fail to be in ready state in 30 minutes. You can optionally configure a deployment timeout by adding a
deploymentConfig
top-level section:deploymentConfig: timeout: unit: <seconds|minutes|hours> duration: <integer>
Note that the minimum timeout you can specify is 60 seconds (1 minute).
Show me a completed deployment file
--- version: v1 kind: kubernetes application: potato-facts targets: dev: account: demo-rna-dev-cluster namespace: demo-dev strategy: rolling staging: account: demo-rna-staging-cluster namespace: demo-staging strategy: rolling constraints: dependsOn: ["dev"] beforeDeployment: [] prod-us: account: demo-rna-prod-us-cluster namespace: demo-prod-us strategy: mycanary constraints: dependsOn: ["staging"] beforeDeployment: - pause: untilApproved: true prod-eu: account: demo-rna-prod-eu-cluster namespace: demo-prod-eu strategy: myBlueGreen constraints: dependsOn: ["staging"] beforeDeployment: - pause: untilApproved: true manifests: - path: manifests/potato-facts.yml - path: manifests/potato-facts-external-service.yml targets: [prod-us, prod-eu] strategies: mycanary: canary: steps: # The map key is the step type - setWeight: weight: 25 - analysis: interval: 7 units: seconds numberOfJudgmentRuns: 1 rollBackMode: manual rollForwardMode: automatic queries: - avgCPUUsage-pass - setWeight: weight: 50 - analysis: interval: 7 units: seconds numberOfJudgmentRuns: 3 rollBackMode: manual rollForwardMode: manual queries: - avgCPUUsage-fail - avgCPUUsage-pass - setWeight: weight: 100 rolling: canary: steps: - setWeight: weight: 100 myBlueGreen: blueGreen: activeService: potato-facts-external redirectTrafficAfter: - analysis: interval: 7 units: seconds numberOfJudgmentRuns: 1 rollBackMode: manual rollForwardMode: automatic queries: - avgCPUUsage-pass shutDownOldVersionAfter: - pause: untilApproved: true analysis: defaultMetricProviderName: Demo-Prometheus queries: - name: avgCPUUsage-pass upperLimit: 10000 lowerLimit: 0 queryTemplate: >- avg (avg_over_time(container_cpu_system_seconds_total{job="kubelet"}[{{armory.promQlStepInterval}}]) * on (pod) group_left (annotation_app) sum(kube_pod_annotations{job="kube-state-metrics",annotation_deploy_armory_io_replica_set_name="{{armory.replicaSetName}}"}) by (annotation_app, pod)) by (annotation_app) - name: invalidQuery upperLimit: 10000 lowerLimit: 0 queryTemplate: >- avg (avg_over_time(c - name: avgCPUUsage-fail upperLimit: 1 lowerLimit: 0 queryTemplate: >- avg (avg_over_time(container_cpu_system_seconds_total{job="kubelet"}[{{armory.promQlStepInterval}}]) * on (pod) group_left (annotation_app) sum(kube_pod_annotations{job="kube-state-metrics",annotation_deploy_armory_io_replica_set_name="{{armory.replicaSetName}}"}) by (annotation_app, pod)) by (annotation_app)
-
-
(Optional) Ensure there are no YAML issues with your deployment file.
Since a hidden tab in your YAML can cause your deployment to fail, it’s a good idea to validate the structure and syntax in your deployment file. There are several online linters, IDE-based linters, and command line linters such as
yamllint
that you can use to validate your deployment file. -
Start the deployment.
armory deploy start -f canary.yaml
The command starts your deployment and progresses until the first weight and pause you set. It also returns a deployment ID that you can use to check the status of your deployment and a link to the Deployments UI page for your deployment.
Note that you can deploy an app without manually logging into CD-as-a-Service. See the Deploy an App Using Credentials page for details.
Monitor your deployment
You can monitor the progress of any deployment through the CLI itself or from the Deployments UI. The Deployments UI gives you a visual representation of a deployment’s health and progress in addition to controls. If your deployment strategy includes a manual approval step, use the Deployments UI to approve the step and continue.
Run the following command to get a direct link to monitor your deployment using the Deployments UI:
armory deploy status -i <deployment-ID>
Initial deployment failure
If the initial deployment of your app using Armory CD-as-a-Service fails or is manually rolled back, the ReplicaSet is orphaned rather than deleted. In this situation, you should manually delete the orphaned ReplicaSet only after the initial deployment runs successfully.
To delete the orphaned ReplicaSet:
-
Get a list of ReplicaSet objects
kubectl get rs -n <namespace>
-
Identify the ReplicaSet with the old version of your application. This is typically the ReplicaSet with the greater age.
-
Delete the orphaned ReplicaSet:
kubectl delete rs <ReplicaSet_name> -n <namespace>
Upgrade the CLI
Run the following command to upgrade your existing CLI:
avm install
Troubleshooting
Developer cannot be verified error when trying to run AVM
Depending on your operating system settings, you may need to allow apps from an unidentified developer in order to use AVM. For macOS, go to System Preferences > Security & Privacy > General and click Allow Anyway. For more information, see the macOS documentation about how to open a Mac app from an unidentified developer.
Bad CPU type
bad CPU type in executable
This issue occurs if the AVM version you downloaded does not match your CPU architecture. For example, if you try to run an arm64
build on a system that is not ARM based. Verify that you downloaded the correct AVM version for your system.
Error writing credentials file
error: Error: there was an error writing the credentials file.
This issue occurs because the the directory where the CLI stores your credentials after you run armory login
does not exist. You can create the directory by running the following command:
mkdir ~/.armory/credentials
Make sure you are running the lastest version of the CLI.
What’s next
- Get Started with the GitHub Action to Deploy Apps
- Add New Context Variables at Deploy Time
- Deploy a Sample App Tutorial
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Last modified October 7, 2022: (3d1281d3)