Google Cloud Whitepapers

In-depth whitepapers covering Google Cloud's history and practical application

Learn more about Google Cloud

Google Cloud whitepapers explain the technology underlying our products and services or examine topics such as security, architecture, and total cost of ownership. The whitepapers listed here are written by Googlers, independent analysts, customers, and partners. Reports written by industry analysts are listed in our Analyst Reports directory.

Google

February 2020

SAP on Google Cloud: High availability

Learn how to architect SAP systems in Google Cloud for high availability.

February 2020

SAP on Google Cloud: Backup strategies and solutions

Learn which options are available to back up SAP systems in Google Cloud.

February 2020

SAP on Google Cloud: Disaster recovery strategies

Learn how to make smart decisions when designing disaster recovery architectures and strategies. The document considers not just the criticality of individual solutions, but also the different components of a typical SAP system.

February 2020

SAP on Google Cloud: Migration strategies

Learn the most common migration strategies, use cases, and options to use when you move SAP systems to Google Cloud.

December 2019

Binary Authorization for Borg

Learn how Binary Authorization for Borg minimizes insider risk by ensuring that production software and configuration deployed at Google is properly reviewed and authorized.

December 2019

BeyondProd

Learn how Google protects its microservices with an initiative called BeyondProd. This protection includes how code is changed and how user data in microservices is accessed.

November 2019

Algorithms behind AI Explanations on Google Cloud

AI Explanations on Google Cloud AI Platform helps you understand your model's behavior for simpler debugging and improved decision-making. This paper outlines the techniques used, their theoretical underpinnings, and their limitations.

September 2019

Anthos: An opportunity to modernize app security

Learn how Anthos helps improve your security in hybrid and multi-cloud environments through enforcing consistent policy across environments, isolating workloads with different risk profiles, and deploying only trusted workloads.

September 2019

Modern password security for users

Describes password guidance and recommendations for users of online applications that require authentication.

September 2019

Modern password security for system designers

Describes and models modern password guidance and recommendations for the designers and engineers who create secure online applications.

July 2019

Security features of Connect for Anthos

This paper discusses the security measures built into Connect for Anthos for customers who are interested in ensuring the security of their GKE On-Prem user clusters.

January 2019

Google Security Whitepaper

This paper outlines Google's approach to security and compliance for Google Cloud, our suite of public cloud products and services.

December 2018

The Google Cloud Adoption Framework

Is your organization ready for the cloud? Use Google’s cloud adoption framework as a guide to find out.

November 2018

Kubernetes: Your Hybrid Cloud Strategy

This paper discusses how Kubernetes provides a holistic hybrid cloud solution that simplifies your deployment, management, and operational concerns.

September 2018

A guide to financial governance in the cloud

This paper discusses the importance of financial governance controls and the role these controls play in increasing the predictability of cloud costs.

September 2018

Understanding the Velostrata technology for mass migrations into Google Cloud

This paper will provide a deeper understanding of Velostrata’s unique technology and architecture, and will explore how these capabilities improve current mass migration practices.

September 2018

Data deletion on Google Cloud

This paper gives an overview of the secure process that occurs when you delete your Customer Data (as defined in the Google Cloud Terms of Service) stored in Google Cloud.

September 2018

Data incident response process

This paper provides a detailed understanding of Google's data incident response process that aims to protect customers’ data, restore normal service as quickly as possible, and meet both regulatory and contractual compliance requirements.

April 2018

Running your Modern .NET Application on Kubernetes

This paper is the third in a series of three papers covering .NET application modernization. This paper walks you through containerization and orchestration concepts. You will learn how to containerize the .NET PetShop application, and how to run it on Kubernetes.

February 2018

Modernizing your .NET Application for Google Cloud

This paper is the second in a series of three papers going through the process of taking an on-premises, monolithic .NET application and making it cloud-ready. This paper talks about moving from an Oracle database to PostgreSQL and migrating VMs.

January 2018

Taking the Cloud-Native Approach with Microservices

This paper covers foundational elements of transitioning a monolithic, software application architecture to microservices. You will use domain-driven design to modernize the PetShop ASP.NET application.

December 2017

How to Lift-and-Shift a Line of Business Application onto Google Cloud

This paper covers how to lift-and-shift an application to Google Cloud. Go step-by-step through moving an ASP.NET Windows application, including components like SQL Server, to Google Cloud.

December 2017

Encryption in Transit in Google Cloud

Encryption in transit protects your data if communications are intercepted while data moves between your site and the cloud provider or between two services. Google employs several security measures to help ensure the authenticity, integrity, and privacy of data in transit.

October 2016

Using StorReduce for Cloud-Based Data Deduplication

StorReduce is a specialized cloud deduplication solution that sits between your applications and Google Cloud Storage, speeding up the transfer of data to the cloud by as much as 30 times and reducing storage costs.

August 2016

Encryption at Rest in Google Cloud

For many individuals and companies, security is a deciding factor in choosing a public cloud vendor. Google uses several layers of encryption to protect customer data at rest in Google Cloud products.

April 2016

Best Practices for DDoS Protection and Mitigation on Google Cloud

This paper describes the best practices for protecting against and mitigating such DDoS attacks for your Google Cloud deployment.

December 2015

Transforming Options Market Data with the Dataflow SDK

This paper introduces some of the main concepts behind building and running applications that use Cloud Dataflow. Then get "hands on" with a job to transform and ingest options market symbol data before storing the transformations within a BigQuery data set.

July 2015

Migrating to Cloud Storage Nearline From Amazon Glacier

Cloud Storage Nearline is a low-cost storage class that is attractive for archival workloads. This paper contains best practices for migrating data from Amazon Glacier to Cloud Storage Nearline.

May 2015

Scaling to Build the Consolidated Audit Trail: A Financial Services Application of Cloud Bigtable

We consider Cloud Bigtable in the context of the Consolidated Audit Trail (CAT), and perform a series of experiments measuring the speed and scalability of Cloud Bigtable. Cloud Bigtable scales well and will be able to meet the requirements of CAT.

November 2012

An Inside Look at BigQuery

This white paper introduces BigQuery, a fully-managed and cloud-based interactive query service for massive datasets. BigQuery is the external implementation Google's core technology code named ‘Dremel’.

12 Months FREE TRIAL

Try BigQuery, Machine Learning, and other cloud products and get $300 free credit to spend over 12 months.

TRY IT FREE

Featured Partner

Agosto is a Premier Enterprise partner recognized as a Google Global Partner of the Year for Google Cloud.

View All Partners

Featured Partner

Philips Lightning built the Philips Hue backend using Google Cloud with the help of Q42, which provided cloud platform design, and engineering services.

Read Case Study