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.
May 2020
Google Cloud’s AI Adoption Framework
Adopt AI with confidence. Assess where you are in the journey and leverage a structure for building scalable AI capabilities, gaining a competitive advantage.
Read moreMay 2020
Cloud Key Management Service deep dive
Learn architectural details about the Cloud KMS platform.
Read moreFebruary 2020
SAP on Google Cloud: High availability
Learn how to architect SAP systems in Google Cloud for high availability.
Read moreFebruary 2020
SAP on Google Cloud: Backup strategies and solutions
Learn which options are available to back up SAP systems in Google Cloud.
Read moreFebruary 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.
Read moreFebruary 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.
Read moreDecember 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.
Read moreDecember 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.
Read moreNovember 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.
Read moreSeptember 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.
Read moreSeptember 2019
Modern password security for users
Describes password guidance and recommendations for users of online applications that require authentication.
Read moreSeptember 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.
Read moreJuly 2019
Security features of Connect
This paper discusses the security measures built into Connect for customers who are interested in ensuring the security of their GKE on-prem user clusters.
Read moreJanuary 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.
Read moreDecember 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.
Read moreNovember 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.
Read moreSeptember 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.
Read moreSeptember 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.
Read moreSeptember 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.
Read moreSeptember 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.
Read moreApril 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.
Read morePartner
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.
Read morePartner
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.
Read morePartner
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.
Read moreDecember 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.
Read morePartner
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.
Read moreAugust 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.
Read moreApril 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.
Read moreCustomer
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.
Read moreJuly 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.
Read moreCustomer
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.
Read moreNovember 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’.
Read moreLearn more about Google Cloud
Featured Partner
Agosto is a Premier Enterprise partner recognized as a Google Global Partner of the Year for Google Cloud.
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