The process of adding and removing data from a Google storage bucket is quite simple and fast, with the only potential bottleneck being the speed of your internet connection. If you are used to the terminal, you may be familiar with the concept of the commands cp (copy) and rm (remove). The Google Cloud Storage command-line tool gsutil uses the exact same concept.

If the daily storage log you get from enabling bucket logging (per Brandon's suggestion) won't work for you, one thing you could do to speed things up is to shard the du request. For example, you could do something like:


Gcloud Command To Download File From Bucket


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I'm trying to push files from a server (GCE) to a google cloud storage bucket. To avoid granting the gsutil command on the server too many rights, I have created a "Service Account" in the credentials section of my google project.

I was having the same problem. The default key file that the Google Developers Console gave me was actually a .json file with the key material in a json field. I revoked the service account with "gcloud auth revoke", generated a new key from the developers console, and downloaded the key as a .p12 file, and this time after activating the service account it worked.

4. Configure DNS: Configure your DNS settings to point to the Cloud CDN endpoint. Create a CNAME record or an ALIAS record that maps your desired domain or subdomain to the Cloud CDN endpoint provided by Google. The specific steps for configuring DNS records depend on your DNS provider.


Wait for DNS propagation: After configuring the DNS record, wait for the DNS changes to propagate. This propagation period can vary and may take some time. Once the DNS changes have propagated, you should be able to access your static content using the custom domain or subdomain you configured in step 4. The content will be served through the Cloud CDN, providing improved latency and performance.


Just an important note, the gcloud commands provided here assume you have the necessary permissions and have authenticated with gcloud using gcloud auth login or a service account. Additionally, make sure you have the Cloud CDN and Cloud Storage components enabled in your project.

In this lab, you will use gsutil to create a bucket and perform operations on objects. gsutil is a Python application that lets you access Cloud Storage from the command line. The gsutil tool has commands such as mb and cp to perform operations. Each command has a set of options that are used to customize settings further.

In this command, the -d option deletes files from the target if they're missing in the source (in this case, it deletes app.yaml from the bucket). The -r option runs the command recursively on directories.

Google refers to gsutil commands as a legacy feature that is minimally maintained; instead, they recommend using gcloud commands. For this reason, we've used gcloud in this guide. Please see this page for Google's gsutil guide.

To download a file from GCS storage to a specific directory, enter its absolute or relative path (e.g., /home/username/ or ./dir_relative_to_current_dir) in place of ./ with the gcloud storage cp command.

Google storage is a file storage service available from Google Cloud. Quite similar to Amazon S3 it offers interesting functionalities such as signed-urls, bucket synchronization, collaboration bucket settings, parallel uploads and is S3 compatible. Gsutil, the associated command line tool is part of the gcloud command line interface.

The default settings for buckets are defined with the defacl command which also responds to get, set and ch subcommands. The command gsutil defacl get gs:/// will return the default settings for the bucket .

To create the bucket, check here. In addition, you cannot create single folders using gsutil command. You need to use the GCP UI or user the client library or explicitly specifying it in the command as I just did above.

This page describes how to export and import Cloud Firestore documents usingthe managed export and import service and Cloud Storage. TheCloud Firestore managed export and import service is available throughthe gcloudcommand-line tool and the Cloud FirestoreAPI (REST, RPC).

You can initiate import and export operations through the Google Cloud Platform Console orthe gcloud command-line tool. To use gcloud, set up the command-line tooland connect to your project in one of the following ways:

Use the firestore export command to export allthe documents in your database, replacing [BUCKET_NAME] with the name of yourCloud Storage bucket. Add the --async flag to prevent the gcloud tool fromwaiting for the operation to complete.

You can export your database to Cloud Storage from PITR datausing the gcloud firestore export command. You can export PITR data where the timestamp is a whole minute timestamp withinthe past seven days, but not earlier than the earliestVersionTime. If data no longerexists at the specified timestamp, the export operation fails.

Update the permissions for Cloud Storage buckets from other projects to giveaccess to theservice-PROJECT_NUMBER@gcp-sa-firestore.iam.gserviceaccount.comservice agent. Grant the service agent the Firestore Service Agent role.

You can start, stop, or restart an instance using various cmdlets. You can refer to an instance by using the name or the strongly-typed object returned from the Get-GceInstance cmdlet. Play with some of these commands.

You can upload an entire directory from the local disk to Cloud Storage by using the -UploadFolder parameter and specifying the folder path. If you do not want the folder to be uploaded directly to the root of the Cloud Storage bucket, use -ObjectNamePrefix to specify a prefix that will be applied to every object uploaded.

In this codelab, you learned how to manage Compute Engine instances and Cloud Storage buckets from PowerShell but there's more! You can also manage Cloud SQL and Cloud CDN resources using PowerShell. Check out the list of next steps below to learn more.

The earthengine tool is a utility program that lets you manage Earth Engineassets and tasks from the command line. It is installed automatically when youinstall the Python API. To check whether the tool is installedand functioning correctly, type the following on a command line:

The get sub-command prints a JSON description of the ACL. The setsub-command sets an ACL provided in a file with the same JSON format. You cancopy an ACL from one asset to others by saving the output from get andproviding it to set.

The ch sub-command lets you make individual changes to an ACL. To grant readpermission specify -u username@gmail.com:R, to grant write permission specify-u username@gmail.com:W, and to remove a user's permissions specify -dusername@gmail.com. The special user identifier AllUsers may be used to grantor revoke read permission to or from all users. (Note that revoking AllUserspermissions does not revoke any additional permissions you may have alsogranted to individual users.)

Logs in Google Cloud are managed via their Cloud Logging service and routed to their final destination through the use of Log Sinks. By default, the _Required and _Default sinks are created and used to send the default logs to log buckets. All logs from any Google Cloud resource are sent to the logging API. The configured Log Sinks are then used to select specific subsets of those logs to be sent to one of several destinations, including Log Buckets, Storage Buckets, or Pub/Sub Topics.

To work with logs, we will specifically use the gcloud logging commands. The first step in extracting logs is understanding which buckets you have. To do this, we run the following command and should see an associated output similar to the one below:

Additionally, there are numerous flags available to modify your query. A complete list of available flags, such as specifying the bucket to pull from, can be found in the CLI documentation for the google logging read command. The following are some of the key ones worth noting. By default, the output of the read command will be a human-friendly output. If you would like to view the logs outside the CLI, such as in a spreadsheet or log aggregator, you can use the --format flag followed by the format required for your needs. SOF-ELK, for example, will support ingesting these logs as long as they are outputted to JSON format.

Putting together these options, the following command will allow you to pull all logs from a project for a specific time range, output them to JSON format, and then redirect the output (using >) to a file called logs.json.

Many users feel more comfortable navigating a UI rather than using the command line. If this is the case, Logs Explorer is an interface in the Google Cloud console that can be used to query and view logs. From this interface we can also download the logs in either JSON on CSV, although there is an export limit of 10,000 events. If downloaded in JSON, they can be imported into SOF-ELK and will be processed by the Google Cloud logstash parser. In order to view logs via Logs Explorer you must have an IAM role assigned with the relevant permissions. The Private Logs Viewer role mentioned in the gcloud section will provide the permissions needed for our purposes. Assuming the account you are using has the right permissions, we can search and download the logs using the following steps: 006ab0faaa

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