Home / Companies / Datadog / Blog / Post Details
Content Deep Dive

Collecting MongoDB metrics and statistics

Blog post from Datadog

Post Details
Company
Date Published
Author
Jean-Mathieu Saponaro
Word Count
1,098
Company Posts That Month
11
Language
English
Hacker News Points
-
Post removed?
No
Summary

The MongoDB database provides several methods to collect performance metrics from the host machine and from the database itself. The first method is using built-in utilities such as `mongostat` and `mongotop`, which provide real-time statistics on activity, memory usage, and storage information. These tools are useful for quick checks but do not offer advanced monitoring features. Another method is to use native MongoDB commands such as `serverStatus`, `dbStats`, `collStats`, `getReplicationInfo`, and `replSetGetStatus`, which provide a wide range of metrics on connections, operations, storage, and replication. For databases running in production, a more comprehensive monitoring system that ingests MongoDB metrics along with metrics from other technologies is often necessary, and tools such as MongoDB's own management tools and Datadog offer extended monitoring capabilities.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 3 279 52 22 +163%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.