Sync data from Kubernetes to Snowflake

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 Snowflake 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 Snowflake

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

Kubernetes

Kubernetes

Source

Documentation
Snowflake

Snowflake

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 snowflake --spec-path k8s_to_snowflake.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:

PSnowflake plugin configuration

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

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

Step 3: Run the sync

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

cloudquery sync k8s_to_snowflake.yaml

Frequently asked questions about plugins

Detailed answers are here to help you get started.

Snowflake FAQ

Should I load information directly to Snowflake from Kubernetes or load via remote storage?

For testing purposes, loading directly into Snowflake is the fastest way to get started and check you are achieving the desired results. However, we don’t recommend choosing this approach for a particularly large dataset or once you move to a production environment. At this stage, it is recommended to sync the data from your source to a CSV or JSON file in a remote storage environment such as S3 or Google Cloud Storage and then running a Snowflake cron job or using SnowPipe to load that information into a Snowflake stage.

You can choose between basic authentication using a username and password or use a private and public key pair to authenticate with Snowflake. If you choose to use a private key, you can either place this inline in the specification or reference a separate file where the private key is stored.

Kubernetes FAQ

What authentication information is required to run the sync from Kubernetes to Snowflake?

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 Snowflake 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

Snowflake 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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