Gcloud compute instances list

The gcloud compute command-line tool enables us to easily manage our Google Compute Engine resources in a friendlier format than using the Compute Engine API. The gcloud tool is part of the Cloud SDK and is a unified command-line tool that includes features like statement autocompletion, in-place updating, extensive man page style help, human-readable and machine-parsable output formats, and integration with Google Cloud SDK - gcloud compute.

Google Compute Engine uses OAuth2 to authenticate and authorize access. Before we can use gcloud computewe must first authorize the Cloud SDK on our behalf to access our project and acquire an auth token. If we are using the gcloud command-line tool for the first time, gcloud automatically uses the default configuration. For most cases, we only need the default configuration.

Use the instances create command to create a new instance. For example, the following command creates an instance named "my-instance" in the "us-central1-a" zone:. If we omit the "--zone" flag, gcloud can infer our desired zone based on our default properties. Other required instance settings, like machine type and image, if not specified in the create command, are set to default values.

We can see the default values by displaying help for the create command:. The gcloud compute ssh command provides wrappers around around SSH, which takes care of authentication and the mapping of instance name to IP address. The scp command can also be used to copy files from an instance to our local machine.

For example, to create a local copy of "file-1", which is on the instance "my-instance" in the "us-east1-c" zone, we can use:. To set default zone and region in our local client.

We can manually choose a different zone or region without updating the metadata server by setting these properties locally on our gcloud client. We can change the default zone and region in our metadata server by making a request to the metadata server. For example:.

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gcloud compute instances list

Learn more about clone URLs. Download ZIP. Create a target pool : gcloud compute target-pools create nginx-pool --region us-east1 3. Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment. You signed in with another tab or window.

Reload to refresh your session. You signed out in another tab or window. Accept Reject. Essential cookies We use essential cookies to perform essential website functions, e. Analytics cookies We use analytics cookies to understand how you use our websites so we can make them better, e. Save preferences. Task 1: Create a project jumphost instance.

Task 2: Create a Kubernetes service cluster. Create an instance template :. Create a target pool :. Create a managed instance group :.The gcloud command-line tool lets you manage your Compute Engine resources, using the gcloud compute command group. The gcloud tool is part of the Cloud SDK and is a unified command-line tool that includes features like statement autocompletion, in-place updating, command-line help, human-readable and machine-parsable output formats, and integration with Cloud SDK.

If you have never used Compute Engine, get started with either the Linux quickstart or the Windows quickstart. The gcloud tool uses the concept of configurations to help you manage your credentials for different accounts.

Each configuration contains the email account to authenticate with and specific settings like the default project ID and default zone setting. The gcloud tool automatically comes installed with a default configuration. This is the configuration whose credentials are used to authenticate to Google Cloud services. For most users, just using the default configuration is enough.

If you have use cases that require that you switch between accounts, you can create more configurations that you can alternate between. The metadata server contains metadata information about a project, including the project ID, project name, and so on. You can use the gcloud command-line tool to query the metadata server to get and use information about the project. To see what your default properties are, run the following command by using the gcloud command-line tool.

gcloud compute instances list

If the google-compute-default-region or google-compute-default-zone responses are unsetthat means no default zone or region is set. If no default is set, then the gcloud tool prompts you for a region and zone with each request. If a default is set, the gcloud tool automatically uses the default value for all of the gcloud tool requests you make unless you manually override the default settings. If you specify a default region and zone for your project, then Compute Engine sets these values in the metadata server for your project.

The gcloud command-line tool only picks up on new default zone and region changes after you rerun the gcloud init command. After updating your default metadata, run gcloud init to reinitialize your default configuration.

You can manually choose a different zone or region without updating the metadata server by setting these properties locally on your gcloud client. First, make sure you are using the configuration for which you want this set these properties. Each configuration has its own settings. To switch between configurations, run the following command:. To remove a default property altogether, use the unset command. Note that removing the default property altogether will result in the gcloud tool prompting for a zone or region for every command you run.

You can set environment variables that supply values to gcloud compute commands. Environment variables override default properties that you set with the gcloud config commands, but do not override explicit flags like --zone or --region. You can override environment variables by including specific --zone or --region flags with your commands.

You can override default properties by including specific --zone or --region flags with each of your commands.

Using the Cloud Client Libraries for Python

For example:. These flags only work for the single command you use it with. The flags do not change any default settings you have, but simply overrides it for that request. The gcloud command-line tool evaluates default properties in the following order for each configuration:.

Below are examples of common tasks when working with instances. For more details about working with instances in general, see Instances. Use the instances create command to create a new instance. For example, the following command creates an instance named "my-instance" in the "us-central1-a" zone.It describes how to authorize requests and how to create, list, and delete instances.

This exercise discusses how to use the google-api-python-client library to access Compute Engine resources. You can run this sample from your local machine or on a VM instance, provided that you have authorized the sample correctly.

For a full list of available client libraries, including other Google client libraries and third-party open source libraries, see the client libraries page. If you don't already have one, sign up for a new account. Go to the project selector page. Make sure that billing is enabled for your Google Cloud project. Learn how to confirm billing is enabled for your project. For more information about how to install this library, see the installation instructions.

You also need to have Python 2. This sample uses OAuth 2. There are many ways to authorize requests using OAuth 2. This lets you reuse the credentials from the gcloud tool if you are running the sample on a local workstation or reuse credentials from a service account if you are running the sample from within Compute Engine or App Engine. You should have installed and authorized the gcloud tool in the Before you begin section. You just have to build and initialize the API:.

For example, the following snippet is the main method of this sample, which builds and initializes the API and then makes some calls to create, list, and delete an instance:.

gcloud compute instances list

Using the Cloud Client Libraries for Python, you can list instances by using the compute. You need to provide the project ID and the zone for which you want to list instances. For example:. To add an instance, use the instances. These properties are specified in the request body; for details about each property see the API reference for instances.

At a minimum, your request must provide values for the following properties when you create a new instance:. The Compute Engine default service account with the following scopes:. All instances must boot from a root persistent disk. The root persistent disk contains all of the necessary files required for starting an instance.

When you create a root persistent disk you must select a public image or a custom image to apply to the disk. In the example above, you created a new root persistent disk based on Debian 8 at the same time as the instance.I plan to extend this list further as I encounter more commands. If --name is omitted, the project name is set equal to the project ID.

You must specify the project ID globally unique not the project name. Disables all interactive prompts, for example, when deleting resources. A VPC network is is global. Subnets are regional. Manually create a subnet:. Automatically creates a subnet in every region. List all available images including projects and families with:.

Can be used, for example, for deleting all existing compute instances:. Note that a newly created VPC network has no firewall rules applied and instances cannot be reached at all not even from inside the VPC network. You have to create firewall rules to make compute instances reachable. One of --global or --region must be specified. Sign in. GCP command-line cheatsheet. Daniel Weibel Follow.

gcloud compute instances list

The name argument can be repeated to create multiple addresses One of --global or --region must be specified. Written by Daniel Weibel Follow. More From Medium. Angular Refactoring Examples.Why Google close Groundbreaking solutions. Transformative know-how. Whether your business is early in its journey or well on its way to digital transformation, Google Cloud's solutions and technologies help chart a path to success.

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Acceptable values are 0 toinclusive. Default: Specifies a page token to use. Set pageToken to the nextPageToken returned by a previous list request to get the next page of results. A filter expression that filters resources listed in the response. The expression must specify the field name, a comparison operator, and the value that you want to use for filtering.

The value must be a string, a number, or a boolean. For example, if you are filtering Compute Engine instances, you can exclude instances named example-instance by specifying name! You can also filter nested fields. For example, you could specify scheduling. You can use filtering on nested fields to filter based on resource labels. To filter on multiple expressions, provide each separate expression within parentheses. For example:. By default, each expression is an AND expression.

Sorts list results by a certain order. By default, results are returned in alphanumerical order based on the resource name. This sorts results based on the creationTimestamp field in reverse chronological order newest result first. Use this to sort resources like operations so that the newest operation is returned first. Currently, only sorting by name or creationTimestamp desc is supported. Opt-in for partial success behavior which provides partial results in case of failure. The default value is false and the logic is the same as today.

The name of the resource, provided by the client when initially creating the resource. The resource name must be characters long, and comply with RFC Tags to apply to this instance. Tags are used to identify valid sources or targets for network firewalls and are specified by the client during instance creation.

Method: instances.list

The tags can be later modified by the setTags method. Each tag within the list must comply with RFC Multiple tags can be specified via the 'tags.

An array of tags. Each tag must be characters long, and comply with RFC Specifies a fingerprint for this request, which is essentially a hash of the tags' contents and used for optimistic locking. The fingerprint is initially generated by Compute Engine and changes after every request to modify or update tags. You must always provide an up-to-date fingerprint hash in order to update or change tags.

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