What are the major pain points of Django logging?

Managing large volumes of Django logs is a hassle

Setting up an in-house system to centrally manage all your logs and keep it running in an automated manner requires a significant investment of time and resources.

Troubleshooting becomes a complicated process

DevOps teams have to monitor an endless amount of log data and alerts coming from multiple sources and often lack smart solutions to deal with this complexity.

Data analysis and reporting can be time-consuming

Analyzing multiple log entries and finding hidden patterns in text data is a time-consuming exercise and requires powerful tools for full-stack data visualization.

Manage all your Django logs centrally

Django takes a lot of hassle out of web application development, but logging Django can be a bit tricky. Without a streamlined process to manage Django logs, which can multiply at a fast pace, there is a risk of losing critical log data. SolarWinds® Loggly® helps you to create a cloud-based centralized logging setup to receive all your logs and make them available through an easily accessible web interface.

As Django uses Python’s built-in logging module for system logging, you can easily collect these logs using syslog as soon as your Django logs are generated and sent to a local rsyslog daemon. Another option, using the Python handler class, is also available. Loggly indexes all of your logs in near real time and presents you with a single interface for searching, analyzing, and visualizing the data.

Streamline troubleshooting experience

You don’t need knowledge of any proprietary query language to search for events, field values, strings, and trends as Loggly simplifies searching to expedite troubleshooting. It also provides a Dynamic Field Explorer, which allows you to view the structure and frequency of the automatically parsed events.

You can save important searches and create automated alerts using services like Slack and HipChat. Loggly also offers Live Tail, which is a feature similar to the ‘tail’ command as used in Linux/Unix systems, only it is more powerful. Live Tail tracks all the log data that you send to Loggly in real time and in a consolidated manner.

Simplify log analysis and reporting

Loggly simplifies log analysis with advanced data visualization. It helps you in creating interactive and shareable dashboards to visualize data with charts that can plot time series and non-time series data for your Django logs. You can use any kind of structured or unstructured log data to create charts. These charts can be sorted on both values and labels and can capture averages, percentiles, log event counts, and more.

Another advantage with Loggly is that it allows you to sync all your charts in the dashboard to the same time range with a single click. This allows you to correlate all log data around an event for quicker troubleshooting.

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