Skip to main content

Sampling Profiler for Mongo DB - see what the DB spends time on

Project description

Mongotime is a sampling-based performance analysis tool for MongoDB that aims to give you a deep view into how Mongo is spending its time by showing % utilization of various activity types, and allowing you to add custom grouping and filtering.

This approach is particularly useful if your DB is strained by a high volume of fast queries, rather than a few slow ones. Besides optimizing slow queries, you might want to understand and change general access patterns. For example, maybe your DB is spending way too much time looking up a user’s last login time, even if each lookup is very fast because of indexing.

See the project page on github: https://github.com/heewa/mongotime

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for mongotime, version 0.1.0
Filename, size File type Python version Upload date Hashes
Filename, size mongotime-0.1.0-py2-none-any.whl (10.8 kB) File type Wheel Python version py2 Upload date Hashes View
Filename, size mongotime-0.1.0.tar.gz (9.3 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page