Flask

Full Stack Flask Performance Monitoring

Get end-to-end visibility into your Flask 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.

Flask Performance Monitoring in real-time

Atatus captures all requests to your Flask 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.

Flask Slowest APISlowest API

Optimize slow response times caused by Flask errors

Automatically visualize end-to-end business transactions in your Flask application. Monitor the amount and type of failed HTTP status codes and application crash with Flask Monitoring. Analyze response time to identify Flask 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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Flask Transaction Monitoring
Optimize DB queriesOptimize DB queries

Find Performance Bottlenecks in your Flask Application

Examine all SQL and NoSQL queries used by your Flask 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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Flask Database Monitoring
Exception RateFix issues

Quickly diagnose and fix Flask exceptions

Every Flask 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 Flask 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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Flask Error Tracking
Failure countHTTP Failures

Spot out and fix Flask API failures

Quickly view the highest Flask 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 Flask app time is spent

Break down slow Flask 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.

Learn moreLearn More
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 Django, Flask, Python and more. Gain insights into your Flask 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 Flask 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 Flask 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 Flask 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 Flask 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 Flask app performance degradations and critical issues. Take immediate action to prevent downtime and optimize user experiences.

FAQ on Flask Application Performance Monitoring

What is Flask performance monitoring?

The Flask performance monitoring tool helps developers to optimize the Flask server performance.

A good Flask APM solution answers the following two questions:

  1. Is an application broken or slow?
  2. What is issue that's causing the application broken or slow?

You can easily use application performance monitoring tools to answer, detect and resolve the above issues before they could impact the end users.

How to monitor a Flask app?

In general, there are two types of monitoring:

  1. Black-box monitoring - It allows you can monitor the external behaviour of your system such as CPU usage, disk usage, memory usage, load averages etc..
  2. White-box monitoring - It allows you to keep an eye on the applications running on your server. It requires an agent to enable white-box monitoring.
Why do we need an Flask performance monitoring tool?

Every organization should have a well-implemented Flask 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.

How to choose the right application performance monitoring tool?

Your Flask performance monitoring tools should be easy to use, offer actionable insights, and be able to:

  1. Manage applications in the language(s) your apps use
  2. Track performance at the code level
  3. Keep an eye on end-user experiences
  4. Make use of artificial intelligence
  5. The ability to monitor the entire infrastructure
  6. Provides information that connects app performance metrics to business outcomes.

Check out this blog to know more information - Things You Should Know Before Choosing Application Performance Monitoring Tools.

What are the benefits of Flask APM?

Technical Benefits:

  1. Increase application uptime and reduces downtime
  2. Code level diagnostics
  3. Avoid network outages
  4. Reduces MTTR
  5. Server metrics
  6. Alerts and notification on error information

Business Benefits:

  1. Higher conversion rate
  2. Improves SEO
  3. Better end-user experience
  4. Improves productivity
  5. Reduced operational costs
How to manage database performance issues in a Flask application?

With the help of the database monitoring, you can easily identify the database performance bottlenecks.

  1. Understand who's using your databases.
  2. Track key performance metrics for DB performance tuning.
  3. Detect the slow and most-time consuming SQL queries to optimize it.
  4. Alerts on availability and performance issues.

Trusted Protection through Global Compliance

Feel assured as we maintain rigorous security protocols, ensuring the safety of your data with every interaction

SOC 2 Type 2 Compliant
SOC 2 Type 2 Compliant
ISO 27001 Certified
ISO 27001 Certified
GDPR & CCPA Compliant
GDPR & CCPA Compliant

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