Sync data from Kubernetes to Google Cloud Storage

CloudQuery is a simple, fast and extensible data movement platform that allows you to sync data from any source to any destination.

Plugin documentation
k8s
Destinations

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Why CloudQuery?

We took care of everything, so you can do your job easily and efficiently.

Fast and reliable

CloudQuery’s efficient design means our syncs are fast and a sync from Kubernetes to Google Cloud Storage can be completed in a fraction of the time compared to other tools.

Easy to get started, easy to maintain

Kubernetes syncing using CloudQuery is easy to set up and maintain thanks to its simple YAML configuration. Once synced, you can use normal SQL queries to work with your data.

How to sync Kubernetes data to Google Cloud Storage

CloudQuery is the simple, fast data integration platform that can fetch your data from Kubernetes APIs and load it into Google Cloud Storage.

Kubernetes

Kubernetes

Source

Documentation
Google Cloud Storage

Google Cloud Storage

Destination

Documentation

Step 1: Install CloudQuery

Follow the steps below to start syncing data with CloudQuery.

Your operating system
Installation method

Copy&paste the following command to download

brew install cloudquery/tap/cloudquery

Sign in with CloudQuery

To sign in from the CLI, run the following command.

cloudquery login

A new browser window will open where you will complete the sign-in process.

Auto-generate sync configuration

Run the following command to create a configuration file:

cloudquery init --source k8s --destination gcs --spec-path k8s_to_gcs.yaml

Step 2: Additional source and destination configuration (optional)

Kubernetes source plugin configuration

You can find more information about the configuration in the plugin documentation.

# k8s.yml kind: source spec: name: k8s path: cloudquery/k8s spec: # per documentation at:

PGoogle Cloud Storage plugin configuration

You can find more information about the configuration in the plugin documentation.

# gcs.yml kind: destination spec: name: gcs path: cloudquery/gcs spec: # per documentation at:

Step 3: Run the sync

Step 1. Copy and paste the command to trigger the sync

cloudquery sync k8s_to_gcs.yaml

Frequently asked questions about plugins

Detailed answers are here to help you get started.

Google Cloud Storage FAQ

What file formats can CloudQuery load from Kubernetes to Google Cloud Storage?

CloudQuery can output CSV, JSON and Parquet files to Google Cloud. If you choose a CSV file, there are a number of CSV specific parameters that you can set before running the sync such as the delimiter and whether the header row is skipped.

The CloudQuery GCS integration authenticates by using your Application Default Credentials and all of the options are available. For testing purposes, it is possible to specify your GCS access credentials via the GOOGLE_APPLICATION_CREDENTIALS parameter but this is not recommended for long-term usage.

Kubernetes FAQ

What authentication information is required to run the sync from Kubernetes to Google Cloud Storage?

CloudQuery works on a similar basis to kubectl, the Kubernetes command line tool and will use information contained in a Kubernetes configuration file (also known as a kubeconfig file) to authenticate the sync. By default, CloudQuery will look for a file located at ~/.kube/config. If you want to use a different file, you can specify this by setting the KUBECONFIG environment variable to your chosen path.

By default, CloudQuery will use the contexts specificed in your Kubernetes configuration file. If you want to connect to different contexts, you can specify this by setting the contexts variable. This variable supports wildcard use, so if you want to connect to all available contexts, simply set the variable to *.
Fast and reliable

CloudQuery’s efficient design means our syncs are fast and a sync from Kubernetes to Google Cloud Storage can be completed in a fraction of the time compared to other tools.

Easy to use, easy to maintain

Kubernetes syncing using CloudQuery is easy to set up and maintain thanks to its simple YAML configuration. Once synced, you can use normal SQL queries to work with your data.

A huge library of supported destinations

Google Cloud Storage isn’t the only place we can sync your Kubernetes data to. Whatever you need to do with your Kubernetes data, CloudQuery can make it happen. We support a huge range of destinations, customizable transformations for ETL, and we regularly release new plugins.

Extensible and Open Source SDK

Write your own connectors in any language by utilizing the CloudQuery open source SDK powered by Apache Arrow. Get out-of-the-box scheduling, rate-limiting, transformation, documentation and much more.

Turn cloud chaos into clarity

Find out how CloudQuery can help you get clarity from a chaotic cloud environment with a personalized conversation and demo.

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