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cloud-build-samples
Public- This open-source project aims to compile best practices, guidance, and comprehensive code samples for using Google Cloud Vertex AI APIs, in customer services modernization (chatbots, text-bison, search). There code samples explain how to use Google Cloud products.
- Deploys an example application that uses Cloud Client APIs
- 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.
- A transformative log viewer for Kubernetes
- Add Google Cloud Platform support to Terraform
- 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.
- Google App Engine Standard Java runtime: Prod runtime, local devappserver, Cloud SDK Java components, GAE APIs, and GAE API emulators.
- Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
- Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
- A collection of Java libraries for connecting securely to Cloud SQL