- NetApp Solutions Documentation
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Artificial Intelligence
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AI Converged Infrastructures
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Data Pipelines, Data Lakes and Management
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Open Source MLOps with NetApp
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Hybrid Multicloud MLOps with Domino Data Lab and NetApp
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NVIDIA AI Enterprise with NetApp and VMware
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Amazon FSx for NetApp ONTAP (FSx ONTAP) for MLOps
- NetApp StorageGRID Data Lake for Autonomous Driving Workloads
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MLRun Pipeline with Iguazio
- NetApp DataOps Toolkit
- Data Movement with E-Series and BeeGFS for AI and Analytics Workflows
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Vector Database solution with NetApp
- Overview
- Introduction
- Solution Overview
- Vector Database
- Technology requirement
- Deployment Procedure
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Solution Verification
- Vector database with Instaclustr using PostGreSQL: pgvector
- Vector Database Use Cases
- Conclusion
- Appendix A: values.yaml
- Appendix B: prepare_data_netapp_new_py
- Appendix C: verify_data_netapp.py
- Appendix D: docker_compose.yml
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Use Cases
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Responsible AI and confidential inferencing - NetApp AI with Protopia Image Transformation
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Sentiment analysis with NetApp AI
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Distributed training in Azure - Click-Through Rate Prediction
- Introduction
- Technology overview
- Software requirements
- Cloud resource requirements
- Click-through rate prediction use case summary
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Setup
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Click through rate prediction data processing and model training
- Libraries for data processing and model training
- Load Criteo Click Logs day 15 in Pandas and train a scikit-learn random forest model
- Load Day 15 in Dask and train a Dask cuML random forest model
- Monitor Dask using native Task Streams dashboard
- Training time comparison
- Monitor Dask and RAPIDS with Prometheus and Grafana
- Dataset and Model Versioning using NetApp DataOps Toolkit
- Jupyter notebooks for Reference
- Conclusion
- Where to find additional information
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Distributed Azure training - Lane detection
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Hybrid Cloud AI Operating System with Data Caching
- Moving Data from a Big Data Environment to an AI Environment
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AI Inferencing at the Edge - NetApp with Lenovo ThinkSystem - Solution Design
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Conversational AI using NVIDIA
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NetApp Orchestration Solution with Run:AI
- Executive Summary
- Solution Overview
- Solution Technology
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Optimal Cluster and GPU Utilization with Run AI
- Overview
- Run AI Installation
- Run AI Dashboards and Views
- Creating Projects for Data Science Teams and Allocating GPUs
- Submitting Jobs in Run AI CLI
- Achieving High Cluster Utilization
- Fractional GPU Allocation for Less Demanding or Interactive Workloads
- Achieving High Cluster Utilization with Over-uota GPU Allocation
- Basic Resource Allocation Fairness
- Over-Quota Fairness
- Saving Data to a Trident-Provisioned PersistentVolume
- Conclusion
- Testing Details for Section 4.8
- Testing Details for Section 4.9
- Testing Details for Section 4.10
- Where to Find Additional Information
- NetApp ONTAP AI for Autonomous Driving Workloads Solution Design
- NetApp ONTAP AI Reference Architecture for Healthcare: Diagnostic Imaging
- NetApp ONTAP AI Reference Architecture for Financial Services Workloads
- Generative AI and NetApp Value
- AI Deployment with NetApp E-Series and BeeGFS
- Quantum StorNext with NetApp E-Series Systems Design Guide
- Quantum StorNext with NetApp E-Series Systems Deployment Guide
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Modern Data Analytics
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Cloud Data Management with NetApp File-Object Duality and AWS SageMaker
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Apache Kafka workloads with NetApp NFS storage
- Introduction
- NetApp solution for silly rename issue in NFS to Kafka workload
- Functional validation - Silly rename fix
- Why NetApp NFS for Kafka workloads?
- Performance overview and validation in AWS - Cloud Volume ONTAP
- Performance overview and validation in AWS - FSx for NetApp ONTAP
- Performance overview and validation with AFF on-premises
- Conclusion
- Where to find additional information
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Confluent Kafka with NetApp ONTAP storage controllers
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NetApp Storage Solutions for Apache Spark
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Big Data Analytics Data to Artificial Intelligence
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Best practices for Confluent Kafka
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NetApp hybrid cloud data solutions - Spark and Hadoop based on customer use cases
- Solution overview
- Data fabric powered by NetApp for big data architecture
- Hadoop data protection and NetApp
- Overview of Hadoop data protection use cases
- Use case 1 - Backing up Hadoop data
- Use case 2 - Backup and disaster recovery from the cloud to on-premises
- Use case 3 - Enabling DevTest on existing Hadoop data
- Use case 4 - Data protection and multicloud connectivity
- Use case 5 - Accelerate analytic workloads
- Conclusion
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NetApp and Dremio’s Next Generation Hybrid Iceberg Lakehouse Solution
- Different Solutions for Different Analytics Strategies Solution Brief
- NetApp StorageGRID with Splunk SmartStore
- NetApp E-Series E5700 and Splunk Enterprise
- Apache Spark Workload with NetApp Storage Solution (Deployment Guide)
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Public and Hybrid Cloud
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NetApp Hybrid Multicloud with VMware
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VMware for Public Cloud
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VMware Hybrid Cloud Use Cases
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NetApp for AWS / VMC
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NetApp for Azure / AVS
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NetApp for GCP / GCVE
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BlueXP Disaster Recovery
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VMware Sovereign Cloud
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NetApp Hybrid Multicloud with Red Hat OpenShift
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Virtualization
- Using NetApp for Any Virtualization Solution
- Virtualization Overview
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VMware Virtualization
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Getting Started with NetApp and VMware
- Overview
- NetApp Storage Options
- vSphere Metro Storage Cluster
- ONTAP Tools for VMware (OTV)
- VMware Automation with ONTAP
- SnapCenter
- Hybrid Multi-Cloud
- Addressing Security and Ransomware for VMware Workloads
- Migrating VM workloads to ONTAP
- BlueXP Disaster Recovery (DRaaS)
- Data Infrastructure Insights (DII)
- VM Data Collector (VMDC)
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VMware Cloud Foundation (VCF) on NetApp
- Overview
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Migrate Existing Infrastructure to VCF
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Provision VCF Environment with Principal Storage
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Expand VCF Environment with Supplemental Storage
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Protect Workloads with NetApp SnapCenter
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High Availability with VMware vSphere Metro Storage Cluster (vMSC)
- Migrate VMs
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Disaster Recovery with BlueXP DRaaS
- Ransomware Protection
- Monitor Workloads with Data Infrastructure Insights (DII)
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VMware vSphere Foundation (VVF) on NetApp
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VMware Virtual Volumes (vVols) on NetApp
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Demos and Tutorials
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Hyper-V Virtualization
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OpenShift Virtualization
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Proxmox Virtualization
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Virtual Machine Migration Utilities
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Containers
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Anthos with NetApp
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Red Hat OpenShift with NetApp
- Solution Overview
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Red Hat Openshift Overview
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NetApp Storage Systems Overview
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NetApp Storage Integrations Overview
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Advanced Configuration Options
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Solution Validation and Use Cases
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Advanced Cluster Management for Kubernetes on Red Hat OpenShift with NetApp
- Data Protection using Trident protect
- Data Protection using Third party tools
- Videos / Demos
- Additional Information
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Red Hat OpenShift Service on AWS with FSxN
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VMware Tanzu with NetApp
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Databases
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Oracle Database
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AWS Cloud
- Oracle HA in AWS EC2 with Pacemaker Clustering and FSx ONTAP
- Simplified, Automated Oracle Deployment on Amazon FSx ONTAP with iSCSI
- Oracle in VMware Cloud on AWS with guest-mounted FSx ONTAP
- Oracle Active Data Guard Cost Reduction with Amazon FSx ONTAP
- Quick Recovery and Clone of Oracle VLDB with Amazon FSx ONTAP
- Oracle 19c in Standalone Restart on AWS FSx/EC2 with NFS/ASM
- Oracle Database Deployment and Protection on AWS FSx/EC2 with iSCSI/ASM
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Oracle Database Deployment on AWS EC2 and FSx Best Practices
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Azure Cloud
- High Throughput Oracle VLDB Implementation on ANF
- Oracle Active Data Guard Cost Reduction with Azure NetApp Files
- Quick Recovery of Oracle VLDB with Incremental Merge on ANF
- Simplified, Automated Oracle Deployment on Azure NetApp Files with NFS
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Oracle Database Deployment and Migration Best Practices for ANF
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Google Cloud
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On-Premises/Hybrid Cloud
- Oracle RAC Deployment and Protection in VCF with vVols
- Oracle SI Deployment and Protection in VCF with vVols
- Simplified, Automated Oracle Deployment on NetApp C-Series with NFS
- Simplified, Automated Oracle Deployment on NetApp ASA with iSCSI
- Oracle 19c RAC Databases on FlexPod DataCenter with Cisco UCS and NetApp AFF A800 over FC
- SAP with Oracle on UNIX and NFS with NetApp Clustered Data ONTAP
- Deploying Oracle Database on NetApp ONTAP
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Automated Deployment of Oracle 19c for ONTAP on NFS
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Automated Oracle Data Protection
- Oracle Databases on NetApp EF-Series
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Microsoft SQL Server
- Backup and Recovery for Microsoft SQL Server on AWS FSx ONTAP
- SQL Server on AWS EC2 using Amazon FSx ONTAP
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SQL Server on Azure NetApp Files
- SAP with Microsoft SQL Server on Windows Using Clustered Data ONTAP
- Modernizing Microsoft SQL Server
- Best practice guide for Microsoft SQL Server with ONTAP
- Best Practices Guide for Microsoft SQL Server with NetApp EF-Series
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Open Source Databases
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SnapCenter for Databases
- PostgreSQL Backup, Recovery, and Clone on ONTAP
- SnapCenter Oracle Clone Lifecycle
- Oracle Database Backup, Recovery, and Clone on ANF
- BlueXP SaaS for Oracle - Azure
- BlueXP SaaS for Oracle - AWS
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Hybrid Cloud Database Solutions with SnapCenter
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Real-world Customer Case Studies
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DB Automation Toolkits
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DB Sizing Toolkits
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Data Migration and Data Protection
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ONTAP cyber vault
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Data Migration
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Best-Practice Guidelines for NetApp XCP
- Introduction
- NetApp XCP
- Migration workflow
- File analytics
- Deployment steps
- Sizing guidelines
- Performance tuning
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Customer scenarios
- Overview
- Data lake to ONTAP NFS
- High-performance computing to ONTAP NFS
- Using the XCP Data Mover to migrate millions of small files to flexible storage
- Using the XCP Data Mover to migrate large files
- Duplicate files
- Specific date-based scan and copy of data
- Creating a CSV file from SMB/CIFS share
- Data migration from 7-Mode to ONTAP
- CIFS data migration with ACLs From a source storage box to ONTAP
- Best practice guidelines and recommendations
- Troubleshooting
- Where to find additional information
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Data Protection
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Security
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Solution Automation
- SAP & SAP HANA
- FlexPod Solutions
- Change Log
- About NetApp Solutions
- Legal notices