A curated list of awesome applications, tools, and resources for Google Cloud.
Google Cloud is a suite of modular cloud services including computing, data storage, data analytics, and machine learning, alongside a set of management tools.
If you are new to Google Cloud, there is a free trial to try it out.
A list of every product in the Google Cloud family described in 4 words or less.
Additional links about GCP including tutorials, solutions and community.
From app platform to containers to VMs, cloud compute tailored to your needs.
Deploy and run Parse server on Google App Engine with a sample Node.js app.
Slack inviter running on Google App Engine.
An open source set of libraries for writing portable Google Cloud functions.
An open source library for serverless Python application development using Google Cloud functions.
Extensive list of awesome Cloud Run applications.
Tool and policy library for validating GKE clusters against configuration best practices.
If you have played the 70s handheld game "Simon" as a child, you know exactly what this is. There are example clients for the Web, IoT (arduino), Android, and command line. Built with [gRPC](https://grpc.io) for bidirectional streaming and [Kubernetes](https://kubernetes.io) for scalability.
Source for Google Click to Deploy solutions listed on [Google Cloud Marketplace](https://cloud.google.com/marketplace). Provide several examples with detailed READMEs on how-to install in a [Google Kubernetes Engine](https://cloud.google.com/kubernetes-engine) cluster.
Sample HTTP-based web application that simulates a bank's payment processing network. It runs on [Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine) and showcases many other Google Cloud products such as [Anthos Service Mesh (ASM)](https://cloud.google.com/anthos/service-mesh), [Anthos Config Management (ACM)](https://cloud.google.com/anthos/config-management), [Cloud Operations](https://cloud.google.com/products/operations), [Cloud SQL](https://cloud.google.com/sql/docs), [Cloud Build](https://cloud.google.com/build), and [Cloud Deploy](https://cloud.google.com/deploy).
Sample gRPC-based web application that simulates an ecommerce store. It runs on [Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine), is built of 11 microservices in 5 different languages, and showcases many other Google Cloud products.
Provides easy security headers (HTTPS, HSTS, and CSP) for [Flask](http://flask.pocoo.org/) applications.
Scan your GCP resources to ensure that access controls are set as you intended and protected against unsafe changes.
Fast, large scale, and easy-to-use AI products and services.
This bot uses the Google Cloud Vision API to detect faces, labels, landmarks, logos, text, explicit content, and attributes in images that are sent to it.
Storage for all your data needs.
`js-data-cloud-datastore` is an adapter for [JSData](http://www.js-data.io), an ORM for Node.js and the browser.
A monorepo with examples for using Google's Open Source tools and deploying to the cloud.
Efficiently capture, process, and analyze data with Google Cloud data analytics products.
Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks.
A Scala API for Google Cloud Dataflow and Apache Beam.
Time series database, works with Google Cloud Bigtable as its storage backend.
Time series database, works with Google Cloud Bigtable as its storage backend; [deploy it on GKE](https://cloud.google.com/solutions/opentsdb-cloud-platform).
Distributed graph database, works with Google Cloud Bigtable as its storage backend; [deploy it on GKE](https://cloud.google.com/solutions/running-janusgraph-with-bigtable).
Machine learning framework, integrates well with Google Cloud Bigtable as both a source and sink for high-performance ML model training; use it with CPU, GPU, and TPU. [Train ResNet-50 model with TensorFlow + Cloud Bigtable](https://cloud.google.com/tpu/docs/tutorials/bigtable-resnet).
Web-based notebook for interactive analytics, works with Google BigQuery.
Geospatial analysis tool for Google BigQuery based on Kepler.gl.
VSCode Extension to run queries and explore databases.
Useful scripts, udfs, views, and other utilities for migration and data warehouse operations in BigQuery.
Support for Google BigQuery in Apache Spark, SQL and DataFrames.
Distributed task queue for Python inspired by [rq](http://python-rq.org/) using Google Cloud Pub/Sub.
Google's cloud own practical guide.
Learn how to use Google Cloud services by following these step-by-step walkthroughs and tutorials submitted from the Google Cloud community.
Hands-on Lab for learning Cloud Computing and get Badges.
GCP Codelabs covers topics such as Google Cloud Basics, Compute, Data, Mobile, Monitoring, Machine Learning and Networking.
A simple, interactive and fun playground to learn Kubernetes.
A list of available Google Cloud Courses on Coursera.
The awesome for awesomes.
App development platform built on Google Cloud.
A statically typed, compiled high-level programming language designed at Google.
An open-source container orchestration system for automating software deployment, scaling, and management.
A free and open-source software library for machine learning and artificial intelligence.
Demonstrate your knowledge and skills with an industry-recognized Google Cloud certification.
Serverless CI/CD platform from Google Cloud.
Low-latency NoSQL database service for machine learning, operational analytics, and user-facing applications at scale.
A highly scalable database that combines unlimited scalability with relational semantics.
This list is not an official Google product. Links on this list also are not necessarily to official Google products.