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Documentation
  • About TiDB
    • TiDB Introduction
    • TiDB Architecture
  • Quick Start
    • TiDB Quick Start Guide
    • Basic SQL Statements
    • Bikeshare Example Database
  • TiDB User Guide
    • TiDB Server Administration
      • The TiDB Server
      • The TiDB Command Options
      • The TiDB Data Directory
      • The TiDB System Database
      • The TiDB System Variables
      • The Proprietary System Variables and Syntax in TiDB
      • The TiDB Server Logs
      • The TiDB Access Privilege System
      • TiDB User Account Management
      • Use Encrypted Connections
    • SQL Optimization
      • Understand the Query Execution Plan
      • Introduction to Statistics
    • Language Structure
      • Literal Values
      • Schema Object Names
      • Keywords and Reserved Words
      • User-Defined Variables
      • Expression Syntax
      • Comment Syntax
    • Globalization
      • Character Set Support
      • Character Set Configuration
      • Time Zone Support
    • Data Types
      • Numeric Types
      • Date and Time Types
      • String Types
      • JSON Types
      • The ENUM data type
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    • Functions and Operators
      • Function and Operator Reference
      • Type Conversion in Expression Evaluation
      • Operators
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      • String Functions
      • Numeric Functions and Operators
      • Date and Time Functions
      • Bit Functions and Operators
      • Cast Functions and Operators
      • Encryption and Compression Functions
      • Information Functions
      • JSON Functions
      • Aggregate (GROUP BY) Functions
      • Miscellaneous Functions
      • Precision Math
    • SQL Statement Syntax
      • Data Definition Statements
      • Data Manipulation Statements
      • Transactions
      • Database Administration Statements
      • Prepared SQL Statement Syntax
      • Utility Statements
      • TiDB SQL Syntax Diagram
    • JSON Functions and Generated Column
    • Connectors and APIs
    • TiDB Transaction Isolation Levels
    • Error Codes and Troubleshooting
    • Compatibility with MySQL
    • TiDB Memory Control
    • Slow Query Log
    • Advanced Usage
      • Read Data From History Versions
      • Garbage Collection (GC)
  • TiDB Operations Guide
    • Hardware and Software Requirements
    • Deploy
      • Ansible Deployment (Recommended)
      • Offline Deployment Using Ansible
      • Docker Deployment
      • Docker Compose Deployment
      • Cross-Region Deployment
      • Kubernetes Deployment
    • Configure
      • Configuration Flags
      • Configuration File Description
      • Modify Component Configuration Using Ansible
      • Enable TLS Authentication
      • Generate Self-signed Certificates
    • Monitor
      • Overview of the Monitoring Framework
      • Key Metrics
      • Monitor a TiDB Cluster
    • Scale
      • Scale a TiDB Cluster
      • Scale Using Ansible
    • Upgrade
      • Upgrade the Component Version
      • TiDB 2.0 Upgrade Guide
    • Tune Performance
    • Backup and Migrate
      • Backup and Restore
      • Migrate
        • Migration Overview
        • Migrate All the Data
        • Migrate the Data Incrementally
    • TiDB-Ansible Common Operations
    • Troubleshoot
  • TiDB Enterprise Tools
    • Syncer
    • mydumper
    • Loader
    • TiDB-Binlog
    • PD Control
    • PD Recover
    • TiKV Control
    • TiDB Controller
  • TiKV Documentation
  • TiSpark Documentation
    • Quick Start Guide
    • User Guide
  • Frequently Asked Questions (FAQ)
  • TiDB Best Practices
  • Releases
    • 2.1 RC3
    • 2.1 RC2
    • 2.0.7
    • 2.1 RC1
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    • 1.1 Beta
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    • 1.1 Alpha
    • 1.0.6
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    • 1.0
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  • TiDB Adopters
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Overview of the Monitoring Framework

The TiDB monitoring framework adopts two open source projects: Prometheus and Grafana. TiDB uses Prometheus to store the monitoring and performance metrics and Grafana to visualize these metrics.

About Prometheus in TiDB

As a time series database, Prometheus has a multi-dimensional data model and flexible query language. As one of the most popular open source projects, many companies and organizations have adopted Prometheus, and the project has a very active community. PingCAP is one of the active developers and adopters of Prometheus for monitoring and alerting in TiDB, TiKV and PD.

Prometheus consists of multiple components. Currently, TiDB uses the following of them:

  • The Prometheus Server to scrape and store time series data.
  • The client libraries to customize necessary metrics in the application.
  • A push GateWay to receive the data from Client Push for the Prometheus main server.
  • An AlertManager for the alerting mechanism.

The diagram is as follows:

About Grafana in TiDB

Grafana is an open source project for analyzing and visualizing metrics. TiDB uses Grafana to display the performance metrics as follows:

screenshot

"Overview of the TiDB Monitoring Framework" was last updated Oct 8 2018: op-guide: fix monitor typos (#652) (a712cfb)
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