Last Updated on March 24, 2023 by hassan abbas
You may already know how popular Python is as a programming language. Users often use it to curate desktop GUI applications, different web applications, and other interactive websites. Since Python has a simplistic syntax, it naturally offers users an accessible mode of curating a readable codebase. It is also known for extending its support to numerous platforms and programming paradigms, thereby contributing to the massive popularity of Python.
Like any other software or escape rooms in the market, you also need to establish a stringent system of monitoring the working of Python. It may make you think about some metrics you may need to watch as you work with Python today. So, in this article, we have compiled the top 10 Python monitoring tools for 2022. Check it out now:
- AppOptics APM
It is a fruitful application monitoring tool that offers several advanced abilities to help you monitor the functionalities of Python. It can even help you track the code-level changes, tracing and exceptions.
Some valuable features of it are:
- It works well on legacy applications and modern ones as well
- It can automatically evaluate service metrics for you
- It works as a useful tool during both the development as well as testing phases
- It provides live code profiling
- Datadog APM
Datadog APM has secured a prestigious position for its ability to execute and have a unique vision. It offers end-to-end distributed tracing alongside offering production code profiling.
Some of its beneficial features of it are:
- It works as a lightweight cloud-based monitoring tool
- It has AI-powered alerts to allow you to cut down on false alarms and alert fatigue
- It offers live reports, making it seamless for you to see high-level metrics and drill down on them swiftly
- It provides scalable pricing based on the amount of data you are processing
- Paessler PRTG
It works as an advanced sensor, helping users monitor your Python applications’ multifaceted aspects. It even gives you a comprehensive and detailed view of the health and performance of your Python applications.
Some of its vital features of it are:
- It supports many languages like Dutch, French, German, Spanish, Russian, Japanese, and others
- The inquisitive sensor returns a JSON value to facilitate the processing further
- It offers extensive granular control through user access
- Dynatrace
It is yet another all-rounder APM tool to get you started on monitoring various aspects of your Python applications. It utilizes Smartscape technology to view the dependencies of different Python applications and services comprehensively.
Some of its helpful features are:
- It provides automated code-level root cause and profiling
- It offers an interactive geographical map to monitor your various web applications
- It provides built-in support for over 500 different technologies
- It leverages the use of AI to provide baseline analysis and detect anomalies in user behavior
- Site24x7
The APM Insight Python Agent of Site24x7 can help you quickly monitor all your different Python applications and offer valuable insights. It can provide you with data based on response time, throughput, database operations, and others.
Some of its beneficial features are:
- It works well with Django and Flash frameworks and even jinia2, SQLite, MySQL, psycopg2, and Pymemcache databases
- It can work judiciously with Python version 3.5.0 or above
- It provides accurate insights into your end-user experience
- It provides visibility into the hidden aspects of the performance of applications and monitoring
- ManageEngine OpManager
It is an intuitive application performance monitoring tool, offering you excellent visibility into the performance and health of your different Python applications. The APM tool’s advanced features facilitate isolating and resolving problems in implementation.
Some of its helpful features are:
- The byte-code instruction feature of this tool offers you code-level insights to help you in improving the performance of your Python applications
- It even maps the varying dependencies to provide you with easy references
- It comes in with over 500 pre-built reports to help you in working swiftly
- It facilitates the improvement of the overall DevOps performance
- Cisco AppDynamics
Cisco bought AppDynamics in the year 2017. The latter is a company that develops performance monitoring and management for different applications.
Some of its beneficial features are:
- It is tailored for the use of large-scale enterprises
- It offers a free version for users to check out
- It provides top-notch dependency mapping to users
- It facilitates users in detecting errors in real-time and finding out exceptions therein
- New Relic One
It is a complete observability platform for you to work with. It collects telemetry data, like metrics, distributed traces, and logs, correlating and delivering observability. It can help you monitor the various resources of your Python applications, regardless of your deployment location, whether cloud, on-premise, or even hybrid.
Some of its features are:
- It entirely focuses on providing AIOps for different websites and mobile applications
- It discovers and maps the interdependencies of various Python-based applications
- It can swiftly identify and send alerts to SSL, JavaScript
- It is the ideal Python monitoring tool to work with high-traffic websites and services. It can offer you better uptime for your Python applications
- AppDynamics
It monitors the end-to-end performance of your different Python applications. It can further help you monitor, map, and track down the critical performance metrics of other applications.
Some of its features are:
- It can help you monitor various Python applications in real-time
- It can automatically discover different business transactions
- You can utilize the functionality of its other APIs to extend its overall working
- It proactively rectifies the errors
- Stackify
It is yet another APM tool that swiftly monitors and regulates your Python applications’ performance. It functions by retracing users and constantly observing the behavior and performance of these applications.
Some of its helpful features are:
- It swiftly works on aggregating all your logs in one place to offer you easy traceability
- It can automatically configure and monitor all your log queries
- It can quickly identify bottlenecks to help you increase the performance of your applications
With that, we draw to the end of our article and hope you have gained valuable insight into Python monitoring tools. So, go ahead and find out the right APM tool for your Python applications.
Author Bio: Charlotte Lin is a content creator at escaperoom.com. She’s a passionate young woman, a mother to an amazing nine-year-old, and an avid reader. Over the years, writing has helped her explore and understand the world as well as her own self. She loves to travel, meet new people, and spend quality time with her daughter. You can find her on LinkedIn.
