Operations and Maintenance

This chapter mainly introduces how to plan, deploy, maintain, and monitor TDengine clusters.

📄️ TDengine Components

In the TDengine installation package, in addition to the TDengine database engine (taosd), several additional components are provided to facilitate user usage. The components include:

If you plan to build a time-series data platform using TDengine, you must conduct detailed planning of computing resources, storage resources, and network resources in advance to ensure that they meet the needs of your business scenario. Typically, TDengine runs multiple processes, including taosd, taosadapter, taoskeeper, taos-explorer, and taosx.

📄️ Deploy Your Cluster

Since TDengine was designed from the outset with a distributed architecture, it has powerful horizontal scalability to meet the growing data processing demands. Therefore, TDengine supports clusters and open-sources this core functionality. Users can choose from four deployment methods based on their actual environment and needs—manual deployment, Docker deployment, Kubernetes deployment, and Helm deployment.

📄️ Maintain Your Cluster

This section introduces the advanced cluster maintenance techniques provided in TDengine Enterprise, which can help TDengine clusters run more robustly and efficiently over the long term.

📄️ Monitor Your Cluster

To ensure the stable operation of the cluster, TDengine integrates various monitoring metrics collection mechanisms, which are aggregated through taosKeeper. TaosKeeper is responsible for receiving this data and writing it into a separate TDengine instance, which can operate independently from the monitored TDengine cluster. The two core components of TDengine, taosd (the database engine) and taosX (the data access platform), use the same monitoring architecture to achieve runtime monitoring, but their monitoring metric designs differ.

📄️ Back Up and Restore Data

To prevent data loss and erroneous deletions, TDengine provides comprehensive data backup, recovery, fault tolerance, and real-time remote data synchronization functions to ensure the security of data storage. This section briefly describes the backup and recovery capabilities.

📄️ Fault Tolerance and Disaster Recovery

To prevent data loss or accidental deletion, TDengine provides comprehensive data backup, recovery, fault tolerance, and real-time remote data synchronization features to ensure the security of data storage. This section briefly describes the fault tolerance and disaster recovery features in TDengine.

📄️ Advanced Storage Options

This section introduces the unique multi-level storage feature of TDengine Enterprise, which aims to store frequently accessed hot data on high-speed media while placing older, less frequently accessed cold data on low-cost media, achieving the following goals:

📄️ Manage Users and Permissions

TDengine is configured by default with only one root user, who has the highest privileges. TDengine supports access control for system resources, databases, tables, views, and topics. The root user can set different access permissions for each user based on different resources. This section introduces user and permission management in TDengine. User and permission management is a feature unique to TDengine Enterprise.

📄️ Advanced Security Options

In addition to traditional user and permission management, TDengine offers other security policies, such as IP whitelisting, audit logs, and data encryption, which are unique features of TDengine Enterprise. The whitelisting feature was first released in version 3.2.0.0, the audit logs in version 3.1.1.0, and database encryption in version 3.3.0.0. It is recommended to use the latest version.