A collection of Munin plugins for monitoring MongoDB performance metrics including operations, memory, connections, and locks.
Mongo-munin is a collection of Munin plugins specifically designed for monitoring MongoDB databases. It provides real-time tracking of key MongoDB performance metrics including operations per second, memory usage, connection counts, b-tree statistics, and lock information. The project solves the problem of integrating MongoDB monitoring into existing Munin-based monitoring infrastructures.
System administrators, DevOps engineers, and database administrators who use Munin for system monitoring and need to monitor MongoDB instances in their infrastructure.
Developers choose mongo-munin because it provides specialized MongoDB monitoring that integrates seamlessly with the popular Munin monitoring system, offering a lightweight, focused solution without requiring additional monitoring frameworks or complex configuration.
Munin plugins for MongoDB
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Directly plugs into existing Munin systems, allowing MongoDB metrics to appear alongside other server metrics without additional infrastructure, as emphasized in its minimalist philosophy.
Tracks key MongoDB performance indicators like operations per second, memory usage, and lock contention, with specific plugins listed in the README for comprehensive monitoring.
Requires only Python or simplejson and MongoDB 1.4+, with no complex configuration mentioned in the README, making it easy to deploy quickly.
Provides specialized plugins for MongoDB, avoiding the bloat of general-purpose tools and sticking to core metrics for database health.
The README specifies MongoDB 1.4+, which is a very old version; compatibility with modern MongoDB releases (e.g., 4.x or 5.x) is not addressed, limiting its usefulness.
Only valuable if you're already using Munin, locking you into a specific monitoring tool that may be considered legacy compared to newer alternatives.
The README is brief and lacks detailed installation, configuration, or troubleshooting guides, which could hinder setup and maintenance for users.
Covers only a handful of metrics like ops and memory; missing advanced features such as replica set monitoring, query profiling, or custom alerting mechanisms.