The Architecture Center provides content resources across a wide variety of storage subjects.
Get started
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.
|
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 |
|
C3 AI architecture on Google Cloud Develop applications using C3 AI and Google Cloud. Products used: Cloud Storage, Google Kubernetes Engine (GKE), Virtual Private Cloud |
|
Configuring SaaS data protection for Google Workspace data with Spin.AI How to configure SpinOne - All-in-One SaaS Data Protection with Cloud Storage. |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
File storage on Compute Engine Describes and compares options for file storage on Compute Engine. Products used: Compute Engine, Filestore |
|
Jump Start Solution: Dynamic web application with Java Run a dynamic web application built using Java and deployed on Google Kubernetes Engine (GKE). |
|
Jump Start Solution: Dynamic web application with JavaScript Run a dynamic web application built using JavaScript and deployed on Cloud Run. |
|
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. |
|
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, Persistent Disk |
|
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 |
|
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) |