Operations and Maintenance

This document is an operations guide for TDengine IDMP administrators.

📄️ Deployment Architecture

This article introduces three typical deployment forms of TDengine IDMP: Single Instance Deployment, Simplified High Availability (HA) Deployment, and Complex High Availability (HA) Deployment. It covers general descriptions, specific introductions, component descriptions, and deployment recommendations.

📄️ Planning Your Deployment

Minimum Hardware Requirements

🗃️ Deploying TDengine IDMP

6 items

📄️ Managing Connections

Connections are categorized into two types: TDengine and AI. TDengine connections are used for business data management, while AI connections are used for AI chat and question recommendation.

📄️ Build Asset Model from TDengine TSDB

For users already using TDengine TSDB, IDMP supports building asset models from TDengine TSDB. It provides three methods, which are introduced below.

🗃️ Users Management

2 items

📄️ Configuring TDengine IDMP

In the System Configuration section, you can configure the following:

📄️ Backing Up and Recovery Data

TDengine IDMP's backup and restore feature allows users to periodically back up data and configurations to prevent data loss or damage. Users can restore to a specific backup point as needed.

📄️ Managing Security Policies

TDengine IDMP's security policy feature allows users to define and manage the system's security rules to protect the security of data and operations.

📄️ Monitoring TDengine IDMP

IDMP has a comprehensive observability system built in, allowing you to monitor the overall health and performance of the platform.

📄️ Import/Export Asset Model

Overview

📄️ Sample Data

This document describes the purpose, usage, and configuration of the Sample Data feature. It helps users quickly understand and correctly use the tool to generate, run, and clean up sample data.