Logstash Django Configuration Example

Execute the following command using pip:

pip install python-logstash-async

If you receive errors suggesting pip is an unknown command, navigate to its installed location with your chosen terminal program and try again (or add pip to your environmental variables if using Windows).

Data should now have been sent to your Stack.

View my data

If you don't see logs take a look at How to diagnose no data in Stack below for how to diagnose common issues.

If you don't see data appearing in your Stack after following the steps, visit the Help Centre guide for steps to diagnose no data appearing in your Stack or Chat to support now.

Django leverages Python's logging module, which is widely adopted across various third-party libraries, facilitating seamless integration of your application's logging with logs specific to your Django project.

The Python logging module categorizes logs into five standard levels: CRITICAL, ERROR, WARNING, INFO, and DEBUG. Here's what each level signifies within a Django context:

• CRITICAL logs indicate severe problems that cause your Django application to terminate, necessitating a restart to recover.
• ERROR logs are for recording unexpected issues that can be resolved without restarting the application, such as HTTP 503 (Service Unavailable) or 404 (Not Found) responses.
• WARNING logs might signal potential problems, like diminishing resources or the detection of suspicious HTTP requests, helping in safeguarding your application's security.
• INFO logs collect and convey data about your application's operational metrics, often sent to a log management solution like the ELK Stack for analysis.
• DEBUG logs provide detailed insights for debugging purposes, especially useful during development and troubleshooting stages.

When developing with Django, especially when transitioning to a production environment, the volume of logs can escalate rapidly, with each logging level adding to the complexity of managing and interpreting log data. This complexity underscores the importance of effective log management strategies to mitigate potential issues and facilitate smooth development workflows.

Logit.io offers a solution for centralizing and managing logs from Django applications, streamlining the processes of monitoring, troubleshooting, and debugging in the cloud. By aggregating all five types of logs, Logit.io enables efficient analysis through pre-configured Kibana dashboards. It also supports setting up alerts for critical issues and integrates with various notification services like Opsgenie, Slack, Webhooks, and PagerDuty to keep development teams informed.

For those looking to enhance their Django application logging with Logstash, Logit.io provides resources and support to simplify the migration process. Assistance is readily available through their Help Centre or live chat, ensuring a smooth onboarding experience to their logging platform.

Using Logit.io you can view all of the five log types for easy analysis with our out of the box Kibana dashboards. Set alerts on errors, warnings and mission-critical Django issues from one centralised dashboard. Logit.io integrates with Opsgenie, Slack, Webhooks and PagerDuty to send notification messages to your Dev teams.

If you need any further assistance with migrating your Django application logs to Logstash we're here to help you get started. Just get in contact with our support team by visiting our dedicated Help Centre or via live chat & we'll be happy to assist.