A reusable Django app that sends metrics about your project to InfluxDB
Project description
A reusable Django app that sends metrics about your project to InfluxDB.
Installation
To get the latest stable release from PyPi
pip install django-influxdb-metrics
To get the latest commit from GitHub
pip install -e git+git://github.com/bitmazk/django-influxdb-metrics.git#egg=influxdb_metrics
Add influxdb_metrics to your INSTALLED_APPS
INSTALLED_APPS = (
...,
'influxdb_metrics',
)
Settings
You need to set the following settings:
INFLUXDB_HOST = 'your.influxdbhost.com' INFLUXDB_PORT = '8086' INFLUXDB_USER = 'youruser' INFLUXDB_PASSWORD = 'yourpassword' INFLUXDB_DATABASE = 'yourdatabase' # Optional: INFLUXDB_SERIES_PREFIX = 'yourservername.' INFLUXDB_SERIES_POSTFIX = '.whatever'
If you would like to disable sending of metrics (i.e. for local development), you can set:
INFLUXDB_DISABLED = True
Usage
The app comes with several management commands which you should schedule via crontab.
influxdb_get_memory_usage
Collects the total memory of your user, plus the memory and name of the largest process.
You can run it like this:
./manage.py influxdb_get_memory_usage ./manage.py influxdb_get_memory_usage username
If you don’t provide a username, the current user that runs the script will be used.
You could schedule it like this:
* * * * * cd /path/to/project/ && /path/to/venv/bin/python /path/to/project/manage.py influxdb_get_memory_usage username > $HOME/mylogs/cron/influxdb-get-memory-usage.log 2>&1
The series created in your InfluxDB will be named <prefix>default.server.memory.usage<postfix> and will have the following columns:
value: The total memory usage in bytes
largest_process: Memory usage of the largest process in bytes
largest_process_name: String representing the largest process name
influxdb_get_disk_usage
Collects the total disk usage for the given path.
NOTE: This faciliates the du command with the --block-size flag, therefore it doesn’t work on OSX.
You can run it like this:
./manage.py influxdb_get_disk_usage $HOME
You should give an absolute path to the folder which you want to measure. On a shared hosting environment this would probably be your home folder.
You could schedule it like this:
0 */1 * * * cd /path/to/project/ && /path/to/venv/bin/python /path/to/project/manage.py influxdb_get_disk_usage $HOME > $HOME/mylogs/cron/influxdb-get-disk-usage.log 2>&1
The series created in your InfluxDB will be named <prefix>default.server.disk.usage<postfix> and will have the following columns:
value: The total memory usage in bytes
influxdb_get_postgresql_size
Collects the total disk usage for the given database.
You can run it like this:
./manage.py influxdb_get_postgresql_size db_role db_name
You shoudl provide role and name for the database you want to measure. Make sure that you have a .pgpass file in place so that you don’t need to enter a password for this user.
You could schedule it like this:
0 */1 * * * cd /path/to/project/ && /path/to/venv/bin/python /path/to/project/manage.py influxdb_get_postgresql_size $HOME > $HOME/mylogs/cron/influxdb-get-postgresql-size.log 2>&1
The series created in your InfluxDB will be named <prefix>default.server.postgresql.size<postfix> and will have the following columns:
value: The total database size in bytes
InfluxDBEmailBackend
If you would like to track tne number of emails sent, you can set your EMAIL_BACKEND:
EMAIL_BACKEND = 'influxdb_metrics.email.InfluxDBEmailBackend'
When the setting is set, metrics will be sent every time you run .manage.py send_mail.
The series created in your InfluxDB will be named <prefix>default.django.email.sent<postfix> and will have the following columns:
value: The number of emails sent
InfluxDBRequestMiddleware
If you would like to track the number and speed of all requests, you can add the InfluxDBRequestMiddleware at the end of your MIDDLEWARE_CLASSES:
MIDDLEWARE_CLASSES = [ ... 'influxdb_metrics.middleware.InfluxDBRequestMiddleware', ]
The series created in your InfluxDB will be named <prefix>default.django.request<postfix> and will have the following columns:
value: The request time in milliseconds.
is_ajax: 1 if it was an AJAX request, otherwise 0
method: The request method (GET or POST)
module: The python module that handled the request
view: The view class or function that handled the request
referer: The full URL from request.META[‘HTTP_REFERER’]
referer_tld: The top level domain of the referer. It tries to be smart and regards google.co.uk as a top level domain (instead of co.uk)
If you have a highly frequented site, this table could get big really quick. You should make sure to create a shard with a low retention time for this series (i.e. 7d) and add a continuous query to downsample the data into hourly/daily averages. When doing that, you will obviously lose the detailed information like referer and referer_tld but it might make sense to create a second continuous query to count and downsample at least the referer_tld values.
NOTE: I don’t know what impact this has on overall request time or how much stress this would put on the InfluxDB server if you get thousands of requests. It would probably wise to consider something like statsd to aggregate the requests first and then send them to InfluxDB in bulk.
Tracking User Count
This app’s models.py contains a post_save and a post_delete handler which will detect when a user is created or deleted.
It will create three series in your InfluxDB:
The first one will be named <prefix>default.django.auth.user.create<postfix> and will have the following columns:
value: 1
The second one will be named <prefix>default.django.auth.user.delete<postfix> and will have the following columns:
value: 1
The third one will be named <prefix>default.django.auth.user.count<postfix> and will have the following columns:
value: The total number of users in the database
Tracking User Logins
This app’s models.py contains a handler for the user_logged_in signal.
The series created in your InfluxDB will be named <prefix>default.django.auth.user.login<postfix> and will have the following columns:
value: 1
Contribute
If you want to contribute to this project, please perform the following steps
# Fork this repository
# Clone your fork
mkvirtualenv -p python2.7 django-influxdb-metrics
make develop
git co -b feature_branch master
# Implement your feature and tests
git add . && git commit
git push -u origin feature_branch
# Send us a pull request for your feature branch
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file django-influxdb-metrics-0.1.4.tar.gz
.
File metadata
- Download URL: django-influxdb-metrics-0.1.4.tar.gz
- Upload date:
- Size: 17.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9a2811b1cabd2bc7efaad2f46dce4189b9cd1eff88751b0d6df68fce04235392 |
|
MD5 | d4d418054cedf2e386590a50a5e12557 |
|
BLAKE2b-256 | f4e1e6c6055b5f2b1674f80e05b6c735951cb9563b7ae9ae16eafece284eedc2 |