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.

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Django Transaction Monitoring
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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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Exception RateFix issues

Quickly diagnose and fix Django performance errors

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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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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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

Monitoring your software stack made easy!

Auto Instrumentation

Auto Instrumentation

Utilize industry-leading integrations with libraries and frameworks for in-depth invisibility into Java, PHP, Node.js, Ruby, Python, Go, .NET applications.

Real-time observability

Real-time observability

See data from multiple apps in real time and visualize critical information including transaction performance, error rate, database performance, network calls and more.

Resolve issues quickly

Resolve issues quickly

Quickly identify error and Django performance issues and fix them by using the context, environment, and more before it affects your customers.

Unlimited applications

Unlimited applications

Track all your Django application workflow in one place. Add your production, dev, staging, QA to monitor your applications through the complete software development cycle.

Custom Queries

Custom Queries

Get your questions answered. Use custom queries to slice and dice the data by transaction, URL, error, user, browser, host OS and more using Django performance monitoring.

Built for developers

Built for developers

Designed by developers, for developers and managers to determine when and where your attention is required and enable teams to ship more and fix less.

Smart notifications

Smart notifications

Setup alerts to automatically monitor your applications for increase in response time, API failures, error rate and much more. Get notified through various channels, including Slack, Teams, Email, PagerDuty and more.

Compare releases

Compare releases

Easily compare one time range to another and so on, and identify changes in app behavior and stability with respect to the app releases.

Email digests

Email digests

Don't miss out on your Django web application performance and error stats. Atatus can send you weekly and monthly summaries directly to your inbox, helping you monitor web services and application performance monitoring.

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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