Solution Deployment and Validation Details
Contributors
Download PDF of this page
The following sections discuss the details of solution deployment and validation.
-
NetApp Solutions
-
Artificial Intelligence
-
AI Converged Infrastructures
-
ONTAP AI with NVIDIA
-
EF-Series AI with NVIDA
-
Data Pipelines, Data Lakes and Management
-
NetApp AI Control Plane
-
NetApp Trident Deployment and Configuration
-
Example Kubeflow Operations and Tasks
-
Example High-performance Jobs for ONTAP AI Deployments
-
MLRun Pipeline
-
Setup
-
Deploying the Application
-
Use Cases
-
Distributed training in Azure - Click-Through Rate Prediction
-
Setup
-
Click through rate prediction data processing and model training
-
Distributed Azure training - Lane detection
-
Hybrid Cloud AI Operating System with Data Caching
-
Solution Deployment and Validation Details
-
Solution Deployment and Validation Details
-
AI Inferencing on the Edge Data Center with H615c and NVIDIA T4
-
Deploying NetApp HCI – AI Inferencing at the Edge
-
Conversational AI using NVIDIA
-
Build a Virtual Assistant Using Jarvis, Cloud Sync, and NeMo
-
NetApp Orchestration Solution with Run:AI
-
Optimal Cluster and GPU Utilization with Run AI
-
Modern Data Analytics
-
Virtualization
-
VMware Virtualization for ONTAP
-
NetApp ONTAP for VMware vSphere Administrators
-
VMware vSphere with ONTAP Best Practices
-
VMware Site Recovery Manager with NetApp ONTAP 9
-
VMware vSphere Automation
-
Traditional Block Storage Provisioning
-
Traditional File Storage Provisioning
-
Demos and Tutorials
-
Blogs
-
NetApp and VMware Cloud Foundation (VCF)
-
Virtual Desktops
-
Virtual Desktop Services (VDS)
-
Hybrid Cloud VDI with NetApp Virtual Desktop Service
-
VMware Horizon
-
Citrix Virtual Apps and Desktops
-
NetApp HCI for Citrix Virtual Apps and Desktops with Citrix Hypervisor
-
Virtual Desktop Applications
-
Containers
-
Archived Solutions
-
NetApp HCI for Red Hat OpenShift on Red Hat Virtualization
-
Deploying NetApp HCI for Red Hat OpenShift on RHV
-
Red Hat OpenShift with NetApp
-
Red Hat Openshift Overview
-
NetApp Storage Systems Overview
-
NetApp Storage Integrations Overview
-
NetApp Astra Control Center Overview
-
NetApp Astra Trident Overview
-
Advanced Configuration Options For OpenShift
-
Exploring Load Balancer Options
-
Solution Validation and Use Cases
-
Configure Multi-tenancy on Red Hat OpenShift with NetApp ONTAP
-
Configuration
-
Red Hat OpenShift Virtualization with NetApp ONTAP
-
Deployment
-
Workflows
-
Advanced Cluster Management for Kubernetes on Red Hat OpenShift with NetApp
-
Deployment
-
Features
-
Google Anthos
-
Anthos on bare metal
-
Anthos on VMware (HCI)
-
Deployment Steps
-
Private Cloud
-
VMware Private Cloud
-
Red Hat Private Cloud
-
Enterprise Applications and Databases
-
Oracle Database
-
Deploying Oracle Database
-
Automated Deployment of Oracle 19c for ONTAP on NFS
-
Microsoft SQL Server
-
SQL Server on Azure NetApp Files
-
Hybrid Cloud Database Solutions with SnapCenter
-
Prerequisites configuration
-
Getting started overview
-
Data Protection and Security
-
Data Protection
-
NetApp HCI Disaster Recovery with Cleondris
-
Security
-
Infrastructure
-
NetApp HCI with Red Hat Virtualization
-
Deployment Procedures
-
Best Practices for Production Deployments
-
NetApp HCI with Cisco ACI
-
Deploying NetApp HCI with Cisco ACI
-
Workload Performance
-
Solution Automation
-
Setup the Ansible control node (For CLI based deployments)
-
NetApp XCP Data Migration
-
Best-Practice Guidelines for NetApp XCP
-
Customer scenarios
Site
Sections
This page
Sections
Sections
Sections
Sections
Sections
Sections
Sections
Sections
Sections
Sections
- NetApp Solutions Documentation
-
Artificial Intelligence
-
AI Converged Infrastructures
-
ONTAP AI with NVIDIA
-
EF-Series AI with NVIDA
- BeeGFS with NetApp E-Series Reference Architecture
- Deploying IBM Spectrum Scale with NetApp E-Series Storage
- NetApp ONTAP and Lenovo ThinkSystem SR670 for AI and ML Model Training Workloads
- NetApp AFF A800 and Fujitsu Server PRIMERGY GX2570 M5 for AI and ML Model Training Workloads
-
-
Data Pipelines, Data Lakes and Management
- NetApp StorageGRID Data Lake for Autonomous Driving Workloads
-
NetApp AI Control Plane
- Introduction
- Concepts and Components
- Hardware and Software Requirements
- Kubernetes Deployment
-
NetApp Trident Deployment and Configuration
- Kubeflow Deployment
-
Example Kubeflow Operations and Tasks
- Apache Airflow Deployment
- Example Apache Airflow Workflows
- Example Trident Operations
-
Example High-performance Jobs for ONTAP AI Deployments
- Performance Testing
- Conclusion
-
MLRun Pipeline
- NetApp DataOps Toolkit
-
Use Cases
-
Distributed training in Azure - Click-Through Rate Prediction
- Introduction
- Technology overview
- Software requirements
- Cloud resource requirements
- Click-through rate prediction use case summary
-
Setup
-
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
- Version history
-
Distributed Azure training - Lane detection
-
Hybrid Cloud AI Operating System with Data Caching
- Moving Data from a Big Data Environment to an AI Environment
-
AI Inferencing on the Edge Data Center with H615c and NVIDIA T4
- Use Cases
- Architecture
- Design Considerations
-
Deploying NetApp HCI – AI Inferencing at the Edge
- Configure Network Switches (Automated Deployment)
- Virtual Infrastructure with Automated Deployment
- Configure NetApp H615c (Manual Deployment)
- Set Up the Deployment Jump and the Kubernetes Master Node VMs Manual Deployment
- Deploy a Kubernetes Cluster with NVIDIA DeepOps Automated Deployment
- Deploy and Configure ONTAP Select in the VMware Virtual Infrastructure Automated Deployment
- Deploy NetApp Trident Automated Deployment
- Deploy NVIDIA Triton Inference Server Automated Deployment
- Deploy the Client for Triton Inference Server Automated Deployment
- Collect Inference Metrics from Triton Inference Server
- Validation Results
- Additional Information
- AI Inferencing at the Edge: NetApp ONTAP with Lenovo ThinkSystem Solution Design
-
Conversational AI using NVIDIA
-
NetApp Orchestration Solution with Run:AI
- Solution Overview
- Solution Technology
-
Optimal Cluster and GPU Utilization with Run AI
- 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
- 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
-
-
-
Modern Data Analytics
-
Virtualization
- Get Started With NetApp and VMware
-
VMware Virtualization for ONTAP
-
Demos and Tutorials
-
Blogs
-
Virtual Desktops
-
Virtual Desktop Services (VDS)
-
Hybrid Cloud VDI with NetApp Virtual Desktop Service
- Use Cases
- NetApp Virtual Desktop Service Overview
- NetApp HCI Overview
- NVIDIA Licensing
- Deployment
- Hybrid Cloud Environment
- Single Server Load Test with Login VSI
- Management Portal
- User Management
- Workspace Management
- Application Management
- ONTAP features for Virtual Desktop Service
- Data Management
- Operation Management
- Tools and Logs
- GPU Considerations
- Solutions for industry
- Conclusion
- Where to Find Additional Information
- ESG Technical Validation: VDI at Enterprise Scale with NetApp Virtual Desktop Service
-
-
VMware Horizon
-
Citrix Virtual Apps and Desktops
-
Virtual Desktop Applications
- FlexPod Desktop Virtualization Solutions
-
-
Containers
-
Archived Solutions
- Red Hat Openshift Container Platform (Design Guide)
- Red Hat Openshift Container Platform (Deployment Guide)
-
NetApp HCI for Red Hat OpenShift on Red Hat Virtualization
- Architectural Overview - NetApp HCI for Red Hat OpenShift on RHV
- Design Considerations - NetApp HCI for Red Hat OpenShift on RHV
-
Deploying NetApp HCI for Red Hat OpenShift on RHV
- 1. Create Storage Network VLAN
- 2. Download OpenShift Installation Files
- 3. Download CA Certificate from RHV
- 4. Register API/Apps in DNS
- 5. Generate and Add SSH Private Key
- 6. Install OpenShift Container Platform
- 7. Access Console/Web Console
- 8. Configure Worker Nodes to Run Storage Services
- 9. Download and Install Astra Trident
- Validation Results - NetApp HCI for Red Hat OpenShift on RHV"
- Best Practices for Production Deployments
- Videos and Demos - NetApp HCI for Red Hat OpenShift on Red Hat Virtualization
- Additional Information - NetApp HCI for Red Hat OpenShift on Red Hat Virtualization
-
Red Hat OpenShift with NetApp
-
Red Hat Openshift Overview
-
NetApp Storage Systems Overview
-
NetApp Storage Integrations Overview
-
Advanced Configuration Options For OpenShift
-
Solution Validation and Use Cases
- Videos / Demos
- Additional Information
-
-
Google Anthos
-
Anthos on bare metal
-
Anthos on VMware (HCI)
- Solution Components
- Design Considerations
- Hardware and Software Requirements
-
Deployment Steps
- 1. Configure management switches
- 2. Configure data switches
- 3. Deploy NetApp HCI with the NetApp Deployment Engine
- 4. Configure the vCenter Server
- 5. Deploy and configure the F5 Big-IP Virtual Edition Appliance
- 6. Complete Anthos prerequisites
- 7. Deploy the Anthos admin workstation
- 8. Deploy the admin cluster
- 9. Deploy user clusters
- 10. Enable access to the cluster with the GKE console
- 11. Install and Configure NetApp Trident Storage Provisioner
- Video Demos
- Additional Information
-
-
-
Private Cloud
-
Enterprise Applications and Databases
- SAP and SAP HANA
-
Oracle Database
-
Microsoft SQL Server
-
SQL Server on Azure NetApp Files
- SAP with Microsoft SQL Server on Windows Using Clustered Data ONTAP
- Modernizing Microsoft SQL Server
- Deploying MSSQL Database Workloads on NetApp HCI
- ESG Technical Validation - Assuring Database Performance and Availability with NetApp HCI
- eSDS NetApp SolidFire Enterprise SDS Running Microsoft SQL Server and Virtualized Infrastructure
- Best Practices Guide for Microsoft SQL Server with NetApp EF-Series
-
-
Hybrid Cloud Database Solutions with SnapCenter
-
Data Protection and Security
-
Data Protection
- NetApp HCI Data Protection Overview
- Multicloud Data Protection with Cloud Volumes ONTAP
- Disaster Recovery and Replication with VMware SRM
- Splunk Enterprise with Arrow Appliance
- Veeam Backup and Replication 9.5 v4
- NetApp Scale-Out Data Protection with Commvault
-
NetApp HCI Disaster Recovery with Cleondris
- NetApp E-Series and Commvault Data Platform V11
- E-Series and EF-Series Reference Architecture and Storage Best Practices with Veeam Backup & Replication 9.5
- Deploying Veritas NetBackup with NetApp E-Series Storage
-
Security
-
-
Infrastructure
-
NetApp HCI with Red Hat Virtualization
-
NetApp HCI with Cisco ACI
- eSDS NetApp SolidFire Enterprise SDS Running Microsoft SQL Server and Virtualized Infrastructure
- Guaranteeing Mixed-workload Performance and NetApp HCI
- Infrastructure as code with Red Hat Ansible
-
Workload Performance
-
-
Solution Automation
-
NetApp XCP Data Migration
-
Best-Practice Guidelines for NetApp XCP
- Introduction
- NetApp XCP
- Migration workflow
- File analytics
- Deployment steps
- Sizing guidelines
- Performance tuning
-
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
- Version history
-
- FlexPod Solutions
- Change Log
- About NetApp Solutions
- Legal Notices
Edit on GitHub