Monolithic architecture is a thing of the past. For years, huge swaths of code were written on a single system. Updating and maintaining these systems is simply untenable in this ever-evolving era of software development.
Every software engineer worth his weight in Bitcoin knows that a microservices architecture must be employed for modern applications. Even laggard organizations are investing in modernizing their systems to make them more fault tolerant.
One of the best languages for building microservices is Python. Python continues to rise in popularity because it is lightweight, cloud-native, and highly reusable. There is a plethora of robust Python frameworks developers can use to speed up the development and deployment of microservice applications. We have collated the best Python frameworks every software engineer and Python developer should wield:
Flask
A lightweight web application framework, Flask operates as both a stepping stone to microservices and as a complex tool to create dynamic micro apps that streamline each level of your web systems.
Flask, like other WSGIs (Web Service Gateway Interfaces), is about chaining microservices together at a maximum optimized rate that can respond to requests through a series of activated micro apps.
Teams that focus on processing or intaking requests from the web should at least be familiar with Flask as it is slowly becoming the default WSGI for Python because it is reliable and endlessly flexible.
Also Read: Why Should You Learn Python?
Nameko
Python developers utilize Nameko as a microservices framework for logistics and internal threading to handle exceptions for I/O without worrying about slowdowns.
Nameko focuses on concurrency and the handling of multiple requests at once with its ability to integrate with almost any Python protocol or database.
For handling multiple users and team members Nameko is an essential microservices framework that no team should be without.
A scalable and extensible system, Nameko provides exceptional efficiency and optimal integrations.
Falcon
Falcon is a fast and minimalist Python web framework capable of building robust microservices and backends for apps.
Falcon also prioritizes compatibility and works with both ASGI and WSGI interfaces. Falcon utilities and encourages the REST architectural style for Python to maximize results but regardless it is a manifold tool capable of creating a wide array of web apps and features.
Its extensions library is sizable, and it has an active developer base that is always willing to assist in creating streamlined apps. Falcon focuses on correctness and stability, so it is always optimized for the latest version of Python.
Furthermore, as a complex microservices engine it is capable of working with other microservices to extend its capabilities and create truly complementary apps. For teams who prioritize reliability, Falcon is an absolutely essential framework which can revolutionize your microservices.
Conclusion
Python is easy to learn but hard to master. Luckily, there are more than enough resources available online to set you on the journey of building robust systems with Python. Python has extensive documentation, a dedicated (and growing) online developer community, and many robust, free-to-use APIs.
If you want to master microservices as a Python developer, you will undoubtedly use frameworks like Flask, Nameko, and Falcon. They are the most used and reliable frameworks to date. Using their features to the fullest takes dedication.
While they are simple to manipulate at first, using these tools to their full potential undoubtedly takes time. Hopefully, you have talented python developers around you to make this learning process a bit easier. Either way, these frameworks are worth your time and energy.
