TDengine IDMP Deployment

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Introduction

TDengine IDMP Deployment Tools provide multiple deployment solutions for TDengine IDMP, supporting various deployment scenarios and requirements. Whether you need to deploy on a single machine, multiple machines, or in a Kubernetes cluster, we offer corresponding solutions.

Features

• Multiple deployment methods:
  • Ansible: Automated deployment across multiple machines
  • Docker: Containerized deployment
  • Helm: Kubernetes-based deployment
• Comprehensive documentation for each deployment method
• Security-first approach with credential management
• Easy maintenance and updates

Quick Start

Choose the deployment method that best suits your needs:

Ansible Deployment

For multi-machine automated deployment, see Ansible Deployment Guide

Docker Deployment

For containerized deployment, see Docker Deployment Guide

Helm Deployment

For Kubernetes-based deployment, see Helm Deployment Guide

Requirements

• For Ansible deployment:
  • Ansible 2.10+
  • SSH access to target machines
  • Python 3.6+
• For Docker deployment:
  • Docker 20.10+
  • Docker Compose v1.29.2+
• For Helm deployment:
  • Kubernetes 1.24+
  • Helm 3.0+

Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Support

• Visit our Official Website
• Email Support: support@taosdata.com