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- Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
- Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
- Add Google Cloud Platform support to Terraform
- Google App Engine Standard Java runtime: Prod runtime, local devappserver, Cloud SDK Java components, GAE APIs, and GAE API emulators.
- RAD Lab enables users to deploy infrastructure on Google Cloud Platform (GCP) to support specific use cases. Infrastructure is created and managed through Terraform in conjunction with support scripts written in Python. The templates, code, and documentation for each use case are bundled into modules.
- PerfKit Benchmarker (PKB) contains a set of benchmarks to measure and compare cloud offerings. The benchmarks use default settings to reflect what most users will see. PerfKit Benchmarker is licensed under the Apache 2 license terms. Please make sure to read, understand and agree to the terms of the LICENSE and CONTRIBUTING files before proceeding.