(New guide) Choose a design pattern for your agentic AI system: Learn how to select an agent design pattern to build your agentic AI system.
]]>Design storage for AI and ML workloads in Google Cloud: Updated storage recommendations for training and serving workflows. Revised the scaling capacity and performance tiers for Managed Lustre.
Design an optimal storage strategy for your cloud workload: Revised the scaling capacity and performance tiers for Managed Lustre.
]]>(New guide) RAG infrastructure for generative AI applications in Google Cloud: Provides a list of reference architectures to deploy a generative AI applications with retrieval-augmented generation (RAG) in Google Cloud.
]]>(New guide) VPC Network Peering Cross-Cloud Network with NVAs and regional affinity: Describes how to deploy network virtual appliances (NVAs) in a single-region Cross-Cloud Network architecture.
]]>(New guide) Multi-agent AI system in Google Cloud: A reference architecture to help you design robust multi-agent AI systems in Google Cloud.
]]>(New guide) RAG infrastructure for generative AI using Google Agentspace and Vertex AI: Design infrastructure for a generative AI application with retrieval-augmented generation (RAG) using Google Agentspace and Vertex AI.
]]>Optimize AI and ML workloads with Cloud Storage FUSE: Updated Anywhere Cache features for multi-regional deployments.
Optimize AI and ML workloads with Google Cloud Managed Lustre: Revised the storage capacity, scaling capacity, and performance tiers for Managed Lustre. Added link to the Managed Lustre module in the Cluster Toolkit for easy deployment.
]]>(New guide) Oracle PeopleSoft on Compute Engine with Oracle Exadata: Shows how to build the infrastructure to run Oracle PeopleSoft applications with OCI Exadata databases in Google Cloud.
]]>(New guide) Best practices for continuous access to Google Cloud: Describes best practices for using emergency access and IdP failover to ensure continuous access to Google Cloud.
]]>AI and ML perspective: Reliability: Major update to expand the reliability principles and recommendations in the AI and ML perspective.
]]>(New guide) Well-Architected Framework: Financial services industry (FSI) perspective: Principles and recommendations that are specific to FSI, aligned to each pillar of the Architecture Framework.
]]>(New guide) Secure apps and resources by using context-aware access: Describes how you can use context-aware access to secure different types of apps and resources.
(New guide) Best practices for securing apps and resources by using context-aware access: Describes best practices for using context-aware access to secure apps and resources.
]]>(New guide) GraphRAG infrastructure for generative AI using Vertex AI and Spanner Graph: Shows how to design infrastructure for GraphRAG-capable generative AI applications in Google Cloud by using Vertex AI and Spanner Graph.
]]>(New guide) Optimize AI and ML workloads with Google Cloud Managed Lustre: Shows how to use Managed Lustre to optimize the performance of AI and ML workloads.
]]>Patterns for connecting other cloud service providers with Google Cloud: Added Network Connectivity Center and Hybrid NAT where relevant. Updated VPN references to only refer to HA VPN.
]]>AI and ML perspective: Cost optimization: Major update to expand the cost optimization recommendations in the AI and ML perspective.
]]>File storage on Compute Engine:
Parallel file systems for HPC workloads: Added information about Google Cloud Managed Lustre and DDN Infinia.
]]>Design an optimal storage strategy for your cloud workload: Added information about Filestore replication, Hyperdisk Balanced High Availability, Anywhere Cache, and capacity specifications for Google Cloud NetApp Volumes.
]]>Multi-regional deployment on Compute Engine: Technical updates to align design recommendations with Google Cloud Well-Architected Framework core principles.
Single-zone deployment on Compute Engine: Technical updates to align design recommendations with Google Cloud Well-Architected Framework core principles.
Hub-and-spoke network architecture: Added Network Connectivity Center as a design option.
]]>AI and ML perspective: Operational excellence: Major update to expand the operational excellence recommendations in the AI and ML perspective.
]]>Parallel file systems for HPC workloads: Added guidance about Google Cloud Managed Lustre.
]]>(New guide) Oracle E‑Business Suite with Oracle Database on Compute Engine VMs: Shows how to build the infrastructure to run Oracle E‑Business Suite applications with Oracle Database on Compute Engine VMs in Google Cloud.
]]>(New guide) Harness CI/CD pipeline for RAG applications: Shows how to implement a continuous integration (CI) and continuous deployment (CD) pipeline for a retrieval-augmented generation (RAG) application in Google Cloud. The architecture uses CI/CD products from Harness to deploy containers to Cloud Run services.
]]>Design an optimal storage strategy for your cloud workload: Added guidance about Google Cloud Managed Lustre.
]]>Design storage for AI and ML workloads in Google Cloud: Updated to include Cloud Storage FUSE, Anywhere Cache, Hyperdisk ML, and Google Cloud Managed Lustre.
(New guide) Optimize AI and ML workloads with Cloud Storage FUSE: Learn how to optimize performance for AI and ML workloads on Google Kubernetes Engine (GKE) by using Cloud Storage FUSE.
]]>(New guide) Oracle E-Business Suite with Oracle Exadata in Google Cloud: Shows how to build the infrastructure to run Oracle E-Business Suite applications with Oracle Cloud Infrastructure Exadata in Google Cloud.
]]>Infrastructure for a RAG-capable generative AI application using Vertex AI and Vector Search: Added information about the Terraform configuration sample to deploy the architecture.
]]>Infrastructure for a RAG-capable generative AI application using Vertex AI and Vector Search: Updated the data processing component in the reference architecture to use a Cloud Run function in place of a Cloud Run job.
]]>Google Cloud Architecture Framework: Security, privacy, and compliance: Major update to align the recommendations with core principles of security.
]]>Best practices and reference architectures for VPC design: Updates to the document to reflect feature releases over the past months.
Cross-Cloud Network for distributed applications: Updates to the document set to reflect feature releases over the past months.
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