A Nagios plugin for comprehensive MongoDB monitoring including connections, replication, memory, and performance metrics.
Nagios-MongoDB is a Nagios plugin script that monitors MongoDB servers. It checks various MongoDB metrics like connection status, replication lag, memory usage, lock times, and query performance, integrating MongoDB monitoring into Nagios-based monitoring setups.
System administrators, DevOps engineers, and database administrators who use Nagios for infrastructure monitoring and need to monitor MongoDB instances.
It provides a comprehensive, script-based solution to monitor MongoDB within Nagios, eliminating the need for separate monitoring tools and leveraging existing Nagios alerting and dashboards.
A Nagios plugin to check the status of MongoDB
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Monitors over 15 key metrics including replication lag, memory usage, lock times, and index miss ratio, as detailed in extensive usage examples for thorough database health checks.
Provides ready-to-use Nagios command definitions and service check configurations in the README, making it easy to integrate into existing Nagios setups without custom scripting.
Includes checks for critical performance indicators like lock time percentage and average/last flush times, helping identify and prevent database overload issues early.
Specifically monitors replica set states, primary server status, and replication lag, which is essential for maintaining high-availability MongoDB deployments.
Requires editing multiple Nagios configuration files (e.g., commands.cfg, services.cfg) manually, which can be error-prone and time-consuming for large or changing environments.
Only works with Nagios, locking users into a legacy monitoring platform without support for modern tools like Prometheus or cloud-based monitoring solutions.
The replication lag check admits to using 'optime' from rs.status() which lags real-time due to heartbeat intervals, reducing reliability for precise monitoring needs.
The README is basic and lacks advanced troubleshooting or feature details, and the project has sporadic contributions, suggesting potential maintenance gaps.