Data on GKE documentation

Data on GKE documentation

Data solutions

Training and tutorials

Use cases

Code samples

Videos

This page describes some of the data solutions you can integrate with Google Kubernetes Engine (GKE).

Use the resources on this page to get started, learn about best practices and solution architectures, and try out samples to build, deploy, and scale your data-intensive and stateful workloads on GKE.

Learn how running data workloads on Kubernetes helps lower costs and increase your organization's ROI. Read the Data on Kubernetes 2022 Report

Databases and caches

• Guide

  Connect to Cloud SQL from GKE

  Set up a connection from an application running in GKE to a Cloud SQL instance.

• Guide

  Connect to a Redis instance from a GKE cluster

  Connect to a MemoryStore for Redis instance from GKE clusters that use the same authorized network as the Redis instance.

• Tutorial

  Deploy a highly-available PostgreSQL database on GKE

  Deploy a highly-available PostgreSQL topology on GKE to safely store and scale your data workloads.

• More  

AI and machine learning

• Blog

  Local SSD for high-performance storage on Google Kubernetes Engine

  Use Local SSD for applications that need to rapidly download and process data eg. AI/ML, analytics, batch, and in-memory caches.

• Guide

  Provision ephemeral storage with local SSDs

  Provision local SSDs on clusters and consume data from volumes backed by local SSDs.

• Guide

  Access Cloud Storage buckets with the Cloud Storage FUSE CSI driver

  Use the Kubernetes API to consume pre-existing Cloud Storage buckets as volumes.

Content management

• Guide

  Access Filestore CSI instances with the Filestore CSI driver

  Provision and connect to volumes backed by Filestore instances.

• Guide

  Optimize storage with Filestore Multishares for GKE

  Allocate up to ten shares across a single Filestore Enterprise tier instance.

• Tutorial

  Deploy a stateful workload with Filestore

  Learn how to design for scalability using Filestore, Google Cloud's managed network filesystem.

• More  

Training and tutorials

Try GKE tutorials, courses, and self-paced training from Google Cloud Skills Boost.

Tutorial

Deploy Apache Kafka to GKE using Strimzi

Deploy Apache Kafka to GKE clusters using the Strimzi operator.

Learn more  

Tutorial

Deploy an app using GKE Autopilot and Cloud Spanner

Deploy a containerized web app to a GKE Autopilot cluster, and use a Google Cloud Spanner database in the backend to store data.

Learn more  

Tutorial

Deploy a stateful MySQL cluster on GKE

Deploy a MySQL InnoDB cluster and MySQL router middleware on GKE.

Learn more  

Tutorial

Deploy a highly-available Kafka cluster on GKE

Deploy highly-available Kafka clusters on GKE to build streaming data pipelines.

Learn more  

Cloud Skills Training

Connect to Cloud SQL from an Application in Kubernetes Engine

Connect an app in GKE to Cloud SQL using the Cloud SQL Proxy container.

Learn more  

Tutorial

Deploy a Redis cluster on GKE

Learn how to create and deploy a highly-available Redis cluster.

Learn more  

Guide

Using the Compute Engine persistent disk CSI Driver

Provision and connect to volumes backed by Compute Engine PDs.

Learn more  

Codelab

Connecting Cloud Spanner with GKE Autopilot

Learn to connect several backend services running on GKE Autopilot to a Cloud Spanner database, using Terraform and Workload Identity.

Learn more  

Cloud Skills Training

Running a MongoDB Database in Kubernetes with StatefulSets

Learn to set up a MongoDB database with a StatefulSet.

Learn more  

Quickstart

Run a Spark job on Dataproc on GKE

Create a Dataproc on GKE virtual cluster, then run a Spark job on the cluster.

Learn more  

Tutorial

Deploy Memcached on GKE

Learn to deploy a cluster of distributed Memcached servers on GKE.

Learn more  

Use cases

Explore use cases, reference architectures, whitepapers, best practices, and industry solutions.

Blog

Announcing Cloud Storage FUSE and GKE CSI driver for AI/ML workloads

Access AI/ML data stored in Google Cloud Storage in containers running on GKE using file semantics.

AI/ML GKE

Learn more  

Discover

Backup for GKE

Backup for GKE is a service for backing up and restoring workloads in GKE clusters.

Backup for GKE

Learn more  

Blog

Scaling Microservices Applications: From Open Source to Redis Enterprise on Google Cloud

Transition from open source to enterprise-ready using Google Cloud and Redis.

Redis GKE

Learn more  

Blog

Connecting Google Kubernetes Engine to Cloud SQL using the Auth Proxy Operator

Simplify connecting connecting GKE to Cloud SQL.

Cloud SQL GKE

Learn more  

Tutorial

Use MemoryStore for Redis as a game leaderboard

Learn how to to operate your own leaderboards in the cloud.

Gaming GKE MemoryStore for Redis

Learn more  

Code samples

Dive into coding with examples that demonstrate how to use and connect Google Cloud services.

github

Stateful PostgreSQL sample

Build and deploy a stateful PostgreSQL cluster using Kubernetes and Day 1 and 2 operations such as Monitoring with Cloud Monitor and disaster recovery with Backup for GKE.

Open GitHub  

github

Stateful MySQL sample

Deploy a MySQL database instance on GKE with the necessary naming and configuration to create a MySQL InnoDB Cluster.

Open GitHub  

github

Stateful Kafka sample

Build and deploy a stateful Kafka cluster using Kubernetes and Day 1 and 2 operations such as Monitoring with Cloud Monitor and disaster recovery with Backup for GKE.

Open GitHub  

github

Stateful workload with Filestore sample

Create Deployments that read and write to the NFS (Network File System).

Open GitHub  

Videos

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