Web-based notebook for interactive analytics, works with Google BigQuery.
Useful scripts, udfs, views, and other utilities for migration and data warehouse operations in BigQuery.
Google-provided Cloud Dataflow template pipelines for solving simple in-Cloud data tasks.
Geospatial analysis tool for Google BigQuery based on Kepler.gl.
Efficiently capture, process, and analyze data with Google Cloud data analytics products.
Time series database, works with Google Cloud Bigtable as its storage backend.
Distributed graph database, works with Google Cloud Bigtable as its storage backend; deploy it on GKE.
Time series database, works with Google Cloud Bigtable as its storage backend; deploy it on GKE.
Distributed task queue for Python inspired by rq using Google Cloud Pub/Sub.
A Scala API for Google Cloud Dataflow and Apache Beam.
Support for Google BigQuery in Apache Spark, SQL and DataFrames.
VSCode Extension to run queries and explore databases.
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.
Extensive list of awesome Cloud Run applications.
Sample HTTP-based web application that simulates a bank's payment processing network. It runs on Google Kubernetes Engine (GKE) and showcases many other Google Cloud products such as Anthos Service Mesh (ASM), Anthos Config Management (ACM), Cloud Operations, Cloud SQL, Cloud Build, and Cloud Deploy.
Source for Google Click to Deploy solutions listed on Google Cloud Marketplace. Provide several examples with detailed READMEs on how-to install in a Google Kubernetes Engine cluster.
An open source set of libraries for writing portable Google Cloud functions.
Tool and policy library for validating GKE clusters against configuration best practices.
An open source library for serverless Python application development using Google Cloud functions.
From app platform to containers to VMs, cloud compute tailored to your needs.
Sample gRPC-based web application that simulates an ecommerce store. It runs on Google Kubernetes Engine (GKE), is built of 11 microservices in 5 different languages, and showcases many other Google Cloud products.
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 for bidirectional streaming and Kubernetes for scalability.
Deploy and run Parse server on Google App Engine with a sample Node.js app.
Slack inviter running on Google App Engine.
GCP Codelabs covers topics such as Google Cloud Basics, Compute, Data, Mobile, Monitoring, Machine Learning and Networking.
Learn how to use Google Cloud services by following these step-by-step walkthroughs and tutorials submitted from the Google Cloud community.
A list of available Google Cloud Courses on Coursera.
Google's cloud own practical guide.
A simple, interactive and fun playground to learn Kubernetes.
Hands-on Lab for learning Cloud Computing and get Badges.
The awesome for awesomes.
Low-latency NoSQL database service for machine learning, operational analytics, and user-facing applications at scale.
Serverless CI/CD platform from Google Cloud.
App development platform built on Google Cloud.
Demonstrate your knowledge and skills with an industry-recognized Google Cloud certification.
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 highly scalable database that combines unlimited scalability with relational semantics.
A free and open-source software library for machine learning and artificial intelligence.