Django

Full Stack Django Performance Monitoring

Get end-to-end visibility into your Django performance with application monitoring tools. Gain insightful metrics on performance bottlenecks with Python monitoring to optimize your application.

No Code Changes. Get Instant Insights for Python frameworks.

1. Install the agent using pip:

pip install atatus

2. Add "atatus.contrib.django" to INSTALLED_APPS in your settings.py:

INSTALLED_APPS = [
    #...
   'atatus.contrib.django'
]

3. Add license key and app name in your settings.py:

ATATUS = {
   "APP_NAME":  "Django App",
   "LICENSE_KEY":  "lic_apm_xxxxxxx"
}

4. Restart your server

1. Install the agent using pip:

pip install atatus[flask]

2. Initialize Atatus agent and add license key, app name in your main file.

from atatus.contrib.flask import Atatus
app = Flask(__name__)

# Add atatus agent to your app.
app.config['ATATUS'] = {
   "APP_NAME":  "Flask App",
   "LICENSE_KEY":  "lic_apm_xxxxxxx"
}
atatus = Atatus(app)

3. Restart your server

1. Go to your app directory and set your license key and app name to heroku config

heroku config:set  ATATUS_APP_NAME="Flask App"
heroku config:set  ATATUS_LICENSE_KEY="lic_apm_xxxxxx"

2. Add atatus.contrib to INSTALLED_APPS and set license key, app name in your settings.py.

INSTALLED_APPS = [
    # ...
   'atatus.contrib.django',
]

3. Add atatus to your project’s requirements.txt file.

# requirements.txt
atatus

4. Create a Procfile in your root directory and add the following line.

web: gunicorn yoursite.wsgi

5. Run the following commands to commit the changes.

git add .
git commit -m  "Added Atatus Agent"
git push heroku master
heroku logs --tail

6. Access your app.

Django Performance Monitoring in real-time

Atatus captures all requests to your Django applications without requiring you to change your source code. Get a clear picture of how all your methods, database statements and external requests are affecting your user's experience.

Django Slowest APISlowest API

Optimize slow response times caused by Django errors

Automatically visualize end-to-end business transactions in your Django application. Monitor the amount and type of failed HTTP status codes and application crash with Django Monitoring. Analyze response time to identify Django performance issues and errors on each and every business transaction. Understand the impact of methods and database calls that affects your customer's experience.

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Django Transaction Monitoring
Optimize DB queriesOptimize DB queries

Find Performance Bottlenecks in your Django Application

Examine all SQL and NoSQL queries used by your Django server. Identify slow database queries and optimize query performance with database monitoring proactively. Monitor and measure third party API calls' response times and REST API failure rates along with HTTP status codes. Slice and dice performance metrics in real time—based on host, version, release stage, URL and other attributes.

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Django Database Monitoring
Exception RateFix issues

Quickly diagnose and fix Django exceptions

Every Django error is tracked using error tracking and captured with full stacktrace and exact line of source code is highlighted to make bug fixing easier. Get all the essential data such as class, message, URL, request agent, version etc to fix the Django exceptions and errors. Identify buggy API or third party services by investigating API failure rates and application crashes. Get alerts for application errors and exceptions via Email, Slack, PagerDuty, or using webhooks.

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Django Error Tracking
Failure countHTTP Failures

Spot out and fix Django API failures

Quickly view the highest Django HTTP failures and get each request information along with custom data to identify the root cause of the failures. See the breakdown of the API failures based on HTTP Status Codes and the end-users having the highest impact.

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API Failures
Slowest RequestSlowest Request Breakdown

Figure out where your Django app time is spent

Break down slow Django requests by time spent in code blocks, database queries, external services, templates, message queues and much more. View logs, infrastructure metrics, VM metrics in context with the original request.

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Slowest Request Breakdown

Start fixing issues impacting your users right now

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Awesome Support

Best APM Monitoring tool

"Atatus customer service is just amazing. I had before New Relic and Stackify and I can honestly say that Atatus compared to those two is the leader! Leader in pricing and user interface and ability to drill down to the problem."

— S Herman Kiefus, DevOps Admin, Compass

We've Got Your Stack Covered!

Boost Framework Performance

Boost Framework Performance

Monitor Flask, Django, Python and more. Gain insights into your Django performance, enhancing transaction flow and speeding up error resolution.

Trace Every Request Instantly

Trace Every Request Instantly

Visualize end-to-end traces across your stack, ensuring that you catch every Django error, performance issue, or bottleneck before it affects users.

Identify Slow Queries Instantly

Identify Slow Queries Instantly

Pinpoint and resolve slow database queries and eliminate performance bottlenecks impacting your Django application's responsiveness, leading to faster response times

Stay Alert to Vulnerabilities

Stay Alert to Vulnerabilities

Get alerted to potential library vulnerabilities, preventing security risks before they affect your customers or compliance.

Simplify Logs, Troubleshoot Faster

Simplify Logs, Troubleshoot Faster

Centralize all your Django logs in one place, and quickly identify the root cause of issues using advanced filtering, pattern detection, and log pipelines.

Custom Metrics That Matter

Custom Metrics That Matter

Set up and track custom metrics that align with your app's KPIs to ensure you're monitoring exactly what matters most for your success.

Quick Request Analysis Anytime

Quick Request Analysis Anytime

Explore request-level analysis, including stdout APM logs, to understand execution times, bottlenecks, and areas that need optimization.

Align APM with Server Metrics

Align APM with Server Metrics

Correlate your app’s Django APM metrics with server health to get a complete picture of your application’s performance and infrastructure dependencies.

Actionable Alerts

Actionable Alerts

Receive real-time alerts for Django app performance degradations and critical issues. Take immediate action to prevent downtime and optimize user experiences.

FAQ on Django Application Performance Monitoring

What is Django performance monitoring?

Django performance monitoring involves using various Django monitoring tools to track, analyze, and optimize the performance of a Django application. This includes measuring response times and identifying bottlenecks. Django performance monitoring includes measuring response time, database performance, error tracking, resource usage, request throughput, and application logs.

What metrics are needed for Django Performance Monitoring?

Application Performance Metrics

  1. Response Time
  2. Request Throughput
  3. Error Rate
  4. Request Rate

Database Metrics

  1. Query Performance
  2. Database Connections
  3. Cache Hit/Miss Ratio

Resource Usage Metrics

  1. CPU Usage
  2. Memory Usage
  3. Disk I/O

Network Metrics

  1. Latency
  2. Bandwidth Usage
How to improve my Django application performance?
  1. Optimize database queries.
  2. Use caching mechanisms.
  3. Enable Django error monitoring.
  4. Optimize static files and media.
  5. Implement Django application performance monitoring tools.
How do you check the performance of the Django project?
  1. Use Django monitoring tool like Atatus for Django application performance monitoring.
  2. Monitor database query performance.
  3. Check response times and load times.
  4. Analyze traffic and usage patterns.
  5. Set up a Django monitoring dashboard for real-time insights.
  6. Implement Django error monitoring to track and fix issues promptly.
Can Atatus integrate with popular frameworks and libraries that works best with Django?

Yes, Atatus can integrate with popular frameworks and libraries, such as Flask and Python which works best with Django.

What are the benefits of Django APM?
  1. Real-time Django performance monitoring and insights.
  2. Enhanced Django network monitoring capabilities.
  3. Comprehensive Django error monitoring and alerts.
  4. Improved application performance and user experience through continuous monitoring.
How to implement Django performance monitoring?

To implement Django performance monitoring you need a Django application performance monitoring tools like Atatus. First, install the Atatus APM client in your Django project. Next, configure Atatus in your settings file. Then, set up the Django monitoring dashboard in Atatus to visualize metrics and Django network monitoring data. This will provide comprehensive insights into your application's performance.

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