The Architecture Center provides content resources across a wide variety of storage subjects.
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If you are new to Google Cloud or new to designing storage architectures on Google Cloud, begin by reading Design an optimal storage strategy for your cloud workload.
Storage resources in the Architecture Center
You can filter the following list of storage resources by typing a product name or a phrase that's in the resource title or description.
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Architecture: Lustre file system in Google Cloud using DDN EXAScaler Review the storage options in Google Cloud for high performance computing (HPC) workloads, and learn when to use parallel file systems like Lustre and DDN EXAScaler Cloud for HPC workloads. Products used: Cloud Storage, Compute Engine, Persistent Disk, Storage Transfer Service |
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Automating cost optimizations with Cloud Functions, Cloud Scheduler, and Cloud Monitoring Demonstrates how to use Cloud Functions to identify and clean up wasted cloud resources, schedule functions to run with Cloud Scheduler, and use Monitoring alerting policies to execute them based on observed usage. Products used: Cloud Functions, Cloud Monitoring, Cloud Scheduler, Cloud Storage, Compute Engine |
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Provides guidance on extending your existing, on-premises render farm to use compute resources on Google Cloud (Google Cloud). Products used: BigQuery, Cloud Interconnect, Cloud Storage, Cloud VPN, Compute Engine, Dedicated Interconnect |
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Configuring SaaS data protection for Google Workspace data with Spin.AI How to configure SpinOne - All-in-One SaaS Data Protection with Cloud Storage. |
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Data management with Cohesity Helios and Google Cloud How Cohesity works with Google Cloud Storage. Cohesity is a hyperconverged secondary storage system for consolidating backup, test/dev, file services, and analytic datasets onto a scalable data platform. Products used: Cloud Storage |
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Deploy a cold recoverable web server with persistent disk snapshots Learn how to use a cold failover pattern for web servers using persistent disk snapshots. Products used: Cloud Load Balancing, Compute Engine, Persistent Disk |
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Deploy a cold recoverable web server with regional persistent disks Learn how to use a cold failover pattern for web servers using regional persistent disks. Products used: Cloud Load Balancing, Compute Engine, Persistent Disk |
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Deploy a kernel space NFS caching proxy in Compute Engine Shows you how to deploy, configure, and test a Linux-based, kernel-space Network File System (NFS) caching proxy in Compute Engine. Products used: Compute Engine, Persistent Disk, Virtual Private Cloud |
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Deploy a warm recoverable web server using Cloud DNS with Compute Engine and Cloud Storage Learn how to use a warm failover pattern for web servers using Cloud DNS and Compute Engine VMs and Cloud Storage. Products used: Cloud DNS, Cloud Storage, Compute Engine |
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Deploy a warm recoverable web server with Compute Engine and Cloud Storage Learn how to use a warm failover pattern for web servers with Compute Engine VMs and external HTTPS load balancing... Products used: Cloud Load Balancing, Cloud Storage, Compute Engine |
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Design an optimal storage strategy for your cloud workload Assess your workload's requirements, review the storage options in Google Cloud, and select an optimal storage strategy. Products used: Cloud Storage, Filestore, Persistent Disk |
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Design storage for AI and ML workloads in Google Cloud Map the AI and ML workload stages to Google Cloud storage options, and select the recommended storage options for your AI and ML workloads. Products used: Cloud Storage, Filestore, Persistent Disk |
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Disaster recovery planning guide The first part of a series that discusses disaster recovery (DR) in Google Cloud. This part provides an overview of the DR planning process: what you need to know in order to design and implement a DR plan. Products used: Cloud Key Management Service, Cloud Storage, Spanner |
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File storage on Compute Engine Describes and compares options for file storage on Compute Engine. Products used: Compute Engine, Filestore |
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Ingesting clinical and operational data with Cloud Data Fusion Explains to researchers, data scientists, and IT teams how Cloud Data Fusion can unlock data by ingesting, transforming, and storing the data in BigQuery, an aggregated data warehouse on Google Cloud. Products used: BigQuery, Cloud Data Fusion, Cloud Storage |
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Jump Start Solution: Deploy a Java application using Compute Engine Deploy a Java application to an autoscaling group of Compute Engine VMs. |
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Jump Start Solution: Dynamic web application with Java Run a dynamic web application built using Java and deployed on Google Kubernetes Engine (GKE). |
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Jump Start Solution: Dynamic web application with JavaScript Run a dynamic web application built using JavaScript and deployed on Cloud Run. |
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Jump Start Solution: Dynamic web application with Python and JavaScript Run a dynamic web application built using Python and JavaScript and deployed on Cloud Run. |
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Jump Start Solution: Large data sharing Go web app Deploy a Go application on Cloud Run to serve a large number of files using a content delivery network and object storage. |
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Jump Start Solution: Large data sharing Java web app Deploy a Java application on Cloud Run to serve a large number of files using a content delivery network and object storage. |
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NetApp Cloud Volumes Service for Google Cloud Describes the workflow for using NetApp Cloud Volumes Service, a fully managed, cloud-native data storage service that provides advanced data management capabilities and highly scalable performance. Products used: Compute Engine, Virtual Private Cloud |
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Overview of Cloud Volumes ONTAP NetApp and Google Cloud have partnered to offer Cloud Volumes ONTAP, a data-management layer that runs on Google Cloud infrastructure to enable enhanced control, data protection, mobility and agility for business application data. With NetApp Cloud... |
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Parallel file systems for HPC workloads Review the storage options in Google Cloud for high performance computing (HPC) workloads, and learn when to use parallel file systems like Lustre and DDN EXAScaler Cloud for HPC workloads. Products used: Cloud Storage, File Store, Persistent Disk |
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Scheduling Memorystore for Redis database exports using Cloud Scheduler Shows how to use Cloud Scheduler and Cloud Functions to automatically export a Memorystore for Redis database to Cloud Storage. Products used: Cloud Functions, Cloud Scheduler, Cloud Storage, Memorystore for Redis |
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Describes how to harden data transfers from Amazon Simple Storage Service (Amazon S3) to Cloud Storage using Storage Transfer Service with a VPC Service Controls perimeter. Products used: Access Context Manager, Cloud Storage, Storage Transfer Service, VPC Service Controls |
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Shows how to use Apache Hive on Dataproc in an efficient and flexible way by storing Hive data in Cloud Storage and hosting the Hive metastore in a MySQL database on Cloud SQL. Products used: Cloud SQL, Cloud Storage, Dataproc |
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Using Microsoft SQL Server backups for point-in-time recovery on Compute Engine Perform backups on a Compute Engine SQL Server instance, including how to manage these backups and store them in Cloud Storage and how to restore a database to a point in time. Products used: Cloud Storage, Compute Engine |
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How to host a website on Google Cloud. Google Cloud provides a robust, flexible, reliable, and scalable platform for serving websites. Products used: App Engine, Cloud Storage, Compute Engine, Google Kubernetes Engine (GKE) |