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pgmetrics

Apache-2.0Gov1.19.1

Collects and displays PostgreSQL server information and statistics for troubleshooting, monitoring, and automation.

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1.1k stars82 forks0 contributors

What is pgmetrics?

pgmetrics is a command-line tool that collects and displays detailed information and statistics from running PostgreSQL servers. It helps database administrators and developers troubleshoot performance issues, monitor server health, and automate database management tasks by providing comprehensive insights into database operations.

Target Audience

PostgreSQL database administrators, DevOps engineers, and developers who need to monitor, troubleshoot, and maintain PostgreSQL database servers in production or development environments.

Value Proposition

Developers choose pgmetrics because it provides a simple, non-intrusive way to gather comprehensive PostgreSQL metrics without installing agents on the server, making it ideal for quick diagnostics, monitoring integration, and automation workflows.

Overview

Collect and display information and stats from a running PostgreSQL server

Use Cases

Best For

  • Troubleshooting PostgreSQL performance issues and bottlenecks
  • Monitoring PostgreSQL server health and resource utilization
  • Automating database metrics collection for monitoring systems
  • Quickly assessing database configuration and status
  • Identifying long-running queries and locking problems
  • Gathering replication status and backup information

Not Ideal For

  • Teams requiring real-time graphical dashboards for database monitoring
  • Environments needing deep historical data analysis and trend forecasting
  • Projects using databases other than PostgreSQL

Pros & Cons

Pros

Comprehensive Metric Collection

Gathers extensive data on databases, tables, indexes, connections, and replication, as highlighted in the key features for comprehensive troubleshooting and monitoring.

Non-Intrusive Operation

Connects as a regular client without installing anything on the server, ensuring minimal impact on production environments, as stated in the non-intrusive operation feature.

Automation-Friendly Output

Provides structured data that can be easily parsed by scripts and tools, supporting automated analysis and integration with monitoring systems.

Effective Troubleshooting Aid

Offers insights into locks, long-running queries, and resource usage to quickly identify performance bottlenecks, aiding in efficient problem resolution.

Cons

Command-Line Only Interface

Lacks a graphical user interface, which may be less accessible for users who prefer visual dashboards or are not comfortable with terminal-based tools.

Limited to PostgreSQL

Exclusively designed for PostgreSQL databases, making it unsuitable for environments with mixed or other database systems without additional tools.

Snapshot-Based Metrics

Provides point-in-time data rather than continuous streaming, which might not suffice for real-time monitoring needs without extra scripting or integration efforts.

Frequently Asked Questions

Quick Stats

Stars1,112
Forks82
Contributors0
Open Issues12
Last commit1 month ago
CreatedSince 2018

Tags

#database#devops#postgres#database-monitoring#metrics-collection#metrics-gathering#cli-tool#monitoring#database-administration#postgresql#golang#go#metrics#performance-troubleshooting

Links & Resources

Website

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