How to Build Solutions on Google Cloud Platform
Learn how to use Google Cloud Platform products, services, and other features to build end-to-end solutions.
Architecture
Last updated December 17, 2015.
Architecture: Web Application on Google App Engine
November 2014
Developers leverage Google App Engine to simplify development and deployment of Web Applications. These applications use the autoscaling compute power of App Engine as well as the integrated features like distributed in-memory cache, task queues and datastore, to create robust applications quickly and easily.
Architecture: Real Time Bidding
November 2014
Real Time Bidders use Cloud Platform to intelligently market products through the real time placement of ads to targeted users. This architecture consists of systems to create the campaign, set bidding parameters, place the bids, serve ads, store the results, tune the campaign and analyze the success of the campaign.
Architecture: Digital Asset Management and Sharing
November 2014
Applications and services to create and distribute audio and video files can be created from the compute, storage and queuing mechanisms provide by Cloud Platform.
Architecture: Mobile Apps and Games
December 2015
Cloud Platform is a robust platform for building backend services for mobile apps and games. In additon to the automatic, real-time, data synchronization of Firebase, Cloud Platform provides compute, messaging, storage, and security features for Android and iOS devices.
Architecture: Content Management
November 2014
Content Management systems manage and deliver electronic content to a target audience. The content may be web information, marketing campaigns or social media content. The content may also be personalized for individual users or groups.
Architecture: Real Time Stream Processing - Internet of Things
November 2014
Google Cloud Platform provides the infrastructure to handle streams of data fed from millions of intelligent devices. The architecture for this type of real time stream processing must deal with ingest, processing, storage and analysis of hundreds of millions of events per hour.
Architecture: Hadoop on Google Cloud Platform
November 2014
Google Cloud Platform provides the infrastructure to perform MapReduce data analysis using open source software such as Hadoop with Hive and Pig. Google Compute Engine provides the compute power and Cloud Storage is used to store the input and output of the MapReduce jobs.
Architecture: High Performance Computing
November 2014
High Performance Computing clusters can be created on Cloud Platform by utilizing Google Compute Engine VMs and Google Cloud Storage. By running HPC workloads in Google's cloud, customers can augment on-premise HPC clusters or run all their jobs in the cloud.