With data-intensive workloads, you can select from these options to best meet your organization's needs:

  • Fully-managed data solutions: Managed offerings like Cloud SQL, Memorystore, Dataproc, or Spanner are easier to maintain and operate, and can be a good choice if you don't require granular control.
  • Data app on Kubernetes: You can deploy and run your stateful applications on a Google Kubernetes Engine (GKE) cluster, with all the benefits of managed Kubernetes including scalability, security, resilience, and cost effectiveness. You can use Kubernetes operators like those for Kafka and Redis to simplify your workload management.

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

Training and tutorials

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Use cases

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

Code samples

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Videos

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New customers also get $300 in free credits to run, test, and deploy workloads.

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