GoogleCloudPlatform은 다양한 프로그래밍 언어를 사용하는 여러 공개 리포지토리를 보유하고 있습니다. 주요 언어로는 Go, Python, HCL, Jupyter Notebook, Java, C#가 있으며, microservices-demo, generative-ai, terraformer와 같은 주목할 만한 프로젝트를 포함하고 있습니다. 이 리포지토리들은 클라우드 컴퓨팅 및 인공지능 분야에서 활용됩니다.
Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
CLI tool to generate terraform files from existing infrastructure (reverse Terraform). Infrastructure to Code
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Code samples used on cloud.google.com
AI powered Kubernetes Assistant
Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
Sample apps and code written for Google Cloud in the Go programming language.
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
A user-space file system for interacting with Google Cloud Storage
A log viewer for Kubernetes troubleshooting
End-to-end modular samples and landing zones toolkit for Terraform on GCP.
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.
Java and Kotlin Code samples used on cloud.google.com
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Builder images and examples commonly used for Google Cloud Build
Retail banking sample application showcasing Kubernetes and Google Cloud
Sample applications for Google Kubernetes Engine (GKE)
Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
Builders and buildpacks designed to run on Google Cloud's container platforms
GenMedia Creative Studio is a Vertex AI generative media user experience highlighting the use of Gemini, Veo, Gemini Image 🍌, Gemini TTS, Chirp 3, Lyria and other generative media APIs on Google Cloud.
GCP Config Connector, a Kubernetes add-on for managing GCP resources
Add Google Cloud Platform support to Terraform
A command line tool for interacting with cloud storage services.
IAP Desktop is a Windows application that provides zero-trust Remote Desktop and SSH access to Linux and Windows VMs on Google Cloud.
Google Cloud CLI Docker Image - Docker Image containing the gcloud CLI and its bundled components.
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.
Collection of examples for using Terraform with Google Cloud Platform.
Google Cloud Monitoring Dashboard Samples
Machine Learning on Google Cloud Platform
Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match
Datasets of daily time-series data related to COVID-19 for over 20,000 distinct locations around the world.
Cloud Code for Visual Studio Code: Issues, Documentation and more
Freemarker based templates that build with the gradle-appengine-plugin
Google Cloud Knowledge Catalog Tools and Samples
Cloud Operations Sandbox is an open source collection of tools that helps practitioners to learn O11y and R9y practices from Google and apply them using Cloud Operations suite of tools.
An open source emulator for Cloud Spanner.
This repo is for code that supports talks, blogs, and other activities the Google Cloud Developer Relations team engages in.
Collection of tools and examples for managing Accelerated workloads in Kubernetes Engine
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Ruby samples for Google Cloud Platform products.
Google App Engine Standard Java runtime: Prod runtime, local devappserver, Cloud SDK Java components, GAE APIs, and GAE API emulators.
Tools and scripts for Google Compute Engine images.
Deploys apps to Cloud Run, along with option to map custom domain
FaaS (Function as a service) framework for writing portable .NET functions
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Cloud-native, data onboarding architecture for Google Cloud Datasets
Fine tune an LLM model to answer questions from your documents.
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The Google Cloud Storage FUSE Container Storage Interface (CSI) Plugin.
The Contract for Building New Function Frameworks
Notifier images for Cloud Build, complete with build status filtering and Google Secret Manager integration
The open source multi-agent simulation from the Developer Keynote at Google Cloud Next '26. A deployable reference architecture for autonomous AI agents using Gemini and ADK.
Spanner migration tool helps you migrate from your existing database/dump files to Spanner
A collection of end-to-end infrastructure blueprints to deploy generative AI infrastructures in GCP, using IaC and following security best-practices.
A Go library for connecting securely to your Cloud SQL instances
This is a Golang library which provides functions to map a Terraform configuration for Google Cloud Platform into GCP's native API inventory format.
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GCP hands-on materials in Japanese
Windows agents and scripts for Google Compute Engine images.
Ansible Role for Google Cloud Ops
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PostgreSQL wire-protocol proxy for Cloud Spanner
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AI/ML Recipes for Vertex AI, Serverless Spark and BigQuery open-source project is an effort to jumpstart your development of data processing and machine learning notebooks using VertexAI, BigQuery and Dataproc's distributed processing capabilities.
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.
A multi-platform experimentation framework written in python.
A simplified and automated orchestration workflow to perform ML end-to-end (E2E) model tests and benchmarking on Cloud VMs across different frameworks.
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GCE Rescue is a command-line tool to boot Google Cloud Platform VMs in Rescue Mode. Topics
The Prometheus monitoring system and time series database. GCP fork to export to Google Cloud Managed Service for Prometheus. Main branch is kept at parity with upstream - see branches or tags for Google's additions.
EvalBench is a flexible framework designed to measure the quality of generative AI (GenAI) workflows around database specific tasks.
Compute Engine Guest OS - Test infrastructure
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A simple client for a Tic Tac Toe game using Google Cloud Endpoints and iOS.
Lightweight connector to bridge MQTT brokers and Google Cloud Pub/Sub
An open-source Python SDK for analyzing, evaluating, and curating agent traces stored in BigQuery. Built on top of the BigQuery Agent Analytics, it provides a consumption-layer toolkit for agent observability, analysis, evaluation, and advanced capabilities like context graph at scale.
This repository contains the Agent for SAP (Linux and Windows). The agent is intended to run on all Google Cloud compute instances where an SAP workload is running.
Deploy Vertex AI resources
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A testing framework and a set of test suites used for testing GCE Images.
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Proto for gRPC transport for MCP
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Create and manage Secure Web Proxy on GCP for secured egress web traffic
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Validated blueprints, reference architectures, and Terraform configurations for Google Cloud Networking solutions.
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GoogleCloudPlatform은 클라우드 컴퓨팅, 인공지능, 머신러닝을 위한 다양한 오픈 소스 프로젝트를 개발합니다. 주요 리포지토리로는 microservices-demo와 generative-ai가 있습니다.
GoogleCloudPlatform의 리포지토리에서는 주로 Go, Python, HCL, Jupyter Notebook, Java, C#와 같은 언어가 사용됩니다. 이러한 언어는 다양한 클라우드 솔루션을 구현하는 데 적합합니다.
네, GoogleCloudPlatform의 모든 리포지토리는 공개되어 있습니다. 이를 통해 개발자들은 클라우드 솔루션을 구축하고 개선하기 위해 필요한 자원에 접근할 수 있습니다.