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Pinned repositories
Repositories
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golang-samples
Sample apps and code written for Google Cloud in the Go programming language.
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java-docs-samples
Java and Kotlin Code samples used on cloud.google.com
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dotnet-docs-samples
.NET code samples used on https://cloud.google.com
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container-definitions
This repository contains Bazel targets for Google-maintained common container definitions and their dependencies.
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functions-framework-nodejs
FaaS (Function as a service) framework for writing portable Node.js functions
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stackdriver-sandbox
Cloud Operations Sandbox is an open source tool that helps practitioners to learn Service Reliability Engineering practices from Google and apply them on their cloud services using Cloud Operations suite of tools.
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cloud-code-samples
Code templates to make working with Kubernetes feel like editing and debugging local code.
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esp-v2
A service proxy that provides API management capabilities using Google Service Infrastructure.
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datashare-toolkit
DIY commercial datasets on Google Cloud Platform
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flaky-service
🥐 a service for collecting and tracking flaky tests -
php-docs-samples
A collection of samples that demonstrate how to call Google Cloud services from PHP.
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compute-image-tools
Tools and scripts for Google Compute Engine images.
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magic-modules
Automatically generate Google Cloud Platform support for OSS IaaC Projects
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opentelemetry-operations-python
OpenTelemetry Python exporters for Google Cloud Monitoring and Trace
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PerfKitBenchmarker
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.
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bigquery-utils
Useful scripts, udfs, views, and other utilities for migration and data warehouse operations in BigQuery.
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community
This repository holds the content submitted to https://cloud.google.com/community. Files added to the tutorials/ will appear at https://cloud.google.com/community/tutorials.
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ml-testing-accelerators
Testing framework for Deep Learning models (Tensorflow and PyTorch) on Google Cloud hardware accelerators (TPU and GPU)