Google Cloud whitepapers

Insights from 700 global business leaders reveal the secrets to data maturity.

Learn industry standards and best practices to secure every stage in your software supply chain.

Devise your migration strategy that empowers both the business and IT.

Discover five ways to reduce overall cloud spend with a cost optimization strategy.

How to Build a Better Cloud Center of Excellence.

This whitepaper (from Neurips 2024 tutorial) provides a comprehensive overview of the challenges and methods for evaluating large language models (LLMs).

Explore why AI platforms, not just models are important for scaling generative AI for enterprises.

Explore how to develop a framework to evaluate generative AI for deployment beyond basic task metrics.

How to use retrieval-augmented generation (RAG), fine-tuning, prompt engineering, and long-context-window techniques to improve performance.

This whitepaper details how to operationalize GenAI deployments in production by adapting MLOps to GenAI and foundational models.

This whitepaper is aimed at outlining Google’s approach on adapter tuning.

Adopt AI with confidence. Assess where you are in the journey and leverage a structure for building scalable AI capabilities.

A framework written for ML leaders and architects who want to understand MLOps in theory and practice.

Learn how semi-supervised ML on TPUs can significantly reduce model training time and cost.

Next generation vector search to address memory, indexing speed, and querying performance.

Learn how Google developed a work culture that fosters creative thinking.

Learn what SRE is and how it can improve the way you do IT operations. Then get an introduction to what Google Cloud offers to help you implement SRE.

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

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

How to Build a Better Cloud Center of Excellence.

This paper introduces a novel framework developed by Deutsche Telekom that leverages Google's Gemini and ADK to automate the conversion of legacy codebase to BigQuery and building the foundation for context-aware conversational analytics.

This paper discusses the decision points necessary in creating a modern, unified analytics data platform built on Google Cloud.

Discover the best practices that help you optimize both cost and performance of BigQuery.

Apply ML classification models to bring meaning to unstructured data.

Key concepts of BigQuery and dbt with best practices for utilizing their combined power to build data pipelines.

Discuss the new data lakehouse architecture and its key benefits.

Learn about the elements of a unified analytics data platform built on Google Cloud and key differences in platform architectures.

Four keys to discovering valuable insights at scale.

Learn how to extract SAP data into BigQuery.

This paper introduces some of the main concepts behind building and running applications that use Cloud Dataflow.

Data processing techniques depending on organization type.

Data Vault overview and how to use it on BigQuery.

Your guide to generative AI app development in the cloud.

Which database is the fastest? GigaOm compares AlloyDB to Amazon Aurora.

Harvard Business Review Analytic Services report on how you can unlock new possibilities, implement new features quickly, increase application reliability, and improve operational efficiencies with cloud databases.

Learn how Google Cloud databases can help you create great customer experiences that will transform your business.

Learn how Google Cloud provides managed databases that are easy to use and operate, without cumbersome maintenance tasks and operational overhead.

Migrating your databases to Cloud SQL can lower costs, boost agility, and speed up deployments. Get details in this IDC report.

Tony Baer of dbInsight analyzes the role of AlloyDB within Google Cloud's databases and analytics portfolio.

If your application is implemented according to a microservices paradigm, consider these database deployment architecture options.

Explore the different failure scenarios of Spanner categorized into three levels of severity–including when operating outside of Google Cloud.

Next generation vector search to address memory, indexing speed, and querying performance.

This document guides you in configuring Spanner for an ideal deployment, ensuring your business's data protection and recovery needs are met.

How Spanner helps retail banks with security, compliance, cost and evolving expectations.

Discover five ways to reduce overall cloud spend with a cost optimization strategy.

Learn how your organization can establish strong financial governance and create a cost-conscious culture by adopting a new operating model.

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

This paper gives an overview of the secure process that occurs when you delete your customer data stored in Google Cloud.

Learn strategies for data governance and security in the four stages of logs data.

Actionable set of steps to help your organization maximize your cloud investment.

Learn how Google Cloud helps SMEs accelerate business growth through increased productivity and scalability while achieving greater cost efficiencies.

An operational and cultural framework to drive financial accountability and accelerate business value through cloud transformation.

Guidance to help you keep logs data compliant with regional and industry regulations.

Learn about the benefits, frameworks, and how you can operationalize cloud-based data governance within your organization.

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

Cloud FinOps point of view on cost allocation of shared cloud services.

Learn why cloud tagging is fundamental and critical to enable Cloud FinOps capabilities across your organization.

Learn more about the strengths which make Google a great hybrid and multicloud partner.

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

Google Cloud's Autonomous Network Operations framework transforms telecom with AI/ML, enabling proactive management and optimizing network performance.

Find out what use cases for cloud, AI/ML and analytics drive the most P&L impact.

Embracing cloud transformation: benefits for the financial services industry in Australia and New Zealand.

Learn how to overcome the challenges of increasing customer experience demands.

Research from Google on the home loan experience as well as insights on how the process can be made more simple and all about the borrower.

Learn about the latest trends affecting manufacturers, from the pandemic's impact on operations to subsequent changing technology use.

Discover the processes to address in your supply chain transformation journey.

Your guide to getting smarter with data including success stories & practical next steps.

A novel approach that integrates machine learning into compartmental disease modeling to predict the progression of COVID-19.

Create new business insights and engage your audiences with data and AI. Download now.

Research reveals trending innovation areas for market data.

Learn why top startups chose to build their businesses with Google Cloud.

Learn how semi-supervised ML on TPUs can significantly reduce model training time and cost.

Why you need AI & ML in your Revenue Management Strategy.

This whitepaper provides a framework to build a data driven supply chain control tower.

Data insights framework to accelerate the development of consistent and interoperable retail applications.

Overhaul how you approach business operations to accelerate your migration to cloud.

Google Cloud’s four-stage approach to migration and how to create a team that drives large-scale migration of enterprise applications to the cloud.

An outline of the key things to consider when crafting your migration journey.

This Google Cloud Adoption Framework whitepaper explores cloud migration and helping your people thrive in the cloud.

This guide covers technical requirements, business goals, and cloud technology for you to consider for your migration.

Learn how to properly navigate the four key phases of your cloud migration.

Learn how to migrate VM-based applications to cloud with optimal pricing, performance, and security.

Migration frameworks built based on conversations with CIOs, CTOs, and technical staff.

Go step by step through moving an ASP.NET Windows application to Google Cloud.

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

Cost Savings And Business Benefits Enabled By Google Cloud’s Operations Suite.

Using service mesh and API management as complementary components for successful application modernization.

A series of approaches to app modernization, from identifying needs and developing a road map, to methods of identifying and effecting meaningful change.

Craft your strategy to get out of the data center and into public cloud. This guide helps you design a successful modernization journey.

This report outlines cost savings and business benefits enabled by Cloud Run.

How using open source software on Google Cloud brings better performance, costs, and more.

Learn more about how Google Cloud enables Windows Server-based applications to perform better and more cost effectively.

This paper covers .NET application modernization, including containerization and orchestration concepts.

This paper explores the process of taking an on-premises monolithic .NET application and making it cloud ready.

Here's how Wix built a secure, dependable, and scalable infrastructure to help achieve its goal to eliminate downtime from its customers' vocabulary.

Whitepaper for DevOps, Development, Operations, and SRE.

Get insights into VPC Flow Log sampling and accuracy to confidently analyze network traffic volume and costs.

Explore networking patterns to secure and govern self-hosted AI agents and MCP servers using Google Cloud's Zero Trust framework.

Optimize AI inference serving with Google Cloud's Cross-Cloud Network. Unify APIs, reduce latency and costs, and maximize GPU/TPU utilization.

Scale AI workloads using GKE's flat network model: simplify communication, enhance observability, and improve performance while addressing IP address management.

Get insights on tuning TCP behavior to optimize TCP retransmission for better response times.

Learn about network performance limitations, headers, data, bitrates, and MTUs in Google Cloud.

Learn to measure aggregate packets per second with Netperf and optimize network performance for your systems.

Optimize TCP bulk data transfer by adjusting Linux networking stack settings.

Optimize UDP bulk flow performance between two systems.

Open source toolkit for automated cloud network benchmarking.

Not all Mbits are the same. Fine-tune your network for better performance and efficiency, no matter the advertised speed.

Understand the "how" of TCP RTT metrics to better apply them.

Don't get all broken-up by fragmentation. Optimize your network setup and troubleshoot packet size problems.

Read Miercom's test results on Google Cloud Next Generation Firewall Enterprise.

Read SecureIQlab's test results on Google Cloud Next Generation Firewall Enterprise.

Explore the implications of the convergence of data lakes and data warehouses.

The fundamentals of the VACUUM operation in PostgreSQL databases.

Explore the implications of the convergence of data lakes and data warehouses.

The fundamentals of the VACUUM operation in PostgreSQL databases.