Full Stack Python Performance Monitoring
Get end-to-end visibility into your Python performance with application monitoring tools. Gain insightful metrics on performance bottlenecks with Python monitoring to optimize your application.
Get end-to-end visibility into your Python performance with application monitoring tools. Gain insightful metrics on performance bottlenecks with Python monitoring to optimize your application.
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.
Atatus captures all requests to your Python 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.
Slowest APIAutomatically visualize end-to-end business transactions in your Python application. Monitor the amount and type of failed HTTP status codes and application crash with Python Monitoring. Analyze response time to identify Python 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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Optimize DB queriesExamine all SQL and NoSQL queries used by your Python 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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Fix issuesEvery Python 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 Python 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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HTTP FailuresQuickly view the highest Python 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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Slowest Request BreakdownBreak down slow Python 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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Try it free. No credit card required. Instant set-up.
Best APM Monitoring tool
— S Herman Kiefus, DevOps Admin, Compass
Monitor Django, Flask, Python and more. Gain insights into your Python performance, enhancing transaction flow and speeding up error resolution.
Visualize end-to-end traces across your stack, ensuring that you catch every Python error, performance issue, or bottleneck before it affects users.
Pinpoint and resolve slow database queries and eliminate performance bottlenecks impacting your Python application's responsiveness, leading to faster response times
Get alerted to potential library vulnerabilities, preventing security risks before they affect your customers or compliance.
Centralize all your Python logs in one place, and quickly identify the root cause of issues using advanced filtering, pattern detection, and log pipelines.
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.
Explore request-level analysis, including stdout APM logs, to understand execution times, bottlenecks, and areas that need optimization.
Correlate your app’s Python APM metrics with server health to get a complete picture of your application’s performance and infrastructure dependencies.
Receive real-time alerts for Python app performance degradations and critical issues. Take immediate action to prevent downtime and optimize user experiences.
The Python performance monitoring tool helps developers to optimize the Python server performance.
A good Python APM solution answers the following two questions:
You can easily use application performance monitoring tools to answer, detect and resolve the above issues before they could impact the end users.
In general, there are two types of monitoring:
Every organization should have a well-implemented Python APM solution, which allows DevOps teams (and the organization as a whole) to resolve issues and performance bottlenecks efficiently and reduce Mean Time To Resolution (MTTR). This has a substantial impact on the bottom line of the business.
Now organizations do not have to deal with the unnecessary work involved in maintaining an extensive software analysis group.
Your Python performance monitoring tools should be easy to use, offer actionable insights, and be able to:
Check out this blog to know more information - Things You Should Know Before Choosing Application Performance Monitoring Tools.
Technical Benefits:
Business Benefits:
With the help of the database monitoring, you can easily identify the database performance bottlenecks.
Feel assured as we maintain rigorous security protocols, ensuring the safety of your data with every interaction
Avail Atatus features for 14 days free-trial. No credit card required. Instant set-up.
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