PYTHON MICROSERVICES

MICROSERVICES 

Microservices are an application architecture style where independent, self-contained programs with a single purpose can communicate over a network. Typically, these microservices can be deployed independently because they have a strong separation of responsibilities via a well-defined specification with significant backwards compatibility to avoid sudden dependency breakage (Makai, 2021). Microservices are a way to organize complex software systems. Instead of putting all your code into one app, you break your app into microservices that are deployed independently and communicate with each other (Hipschman, 2021).

USING PYTHON PROGRAMMING FOR MICROSERVICES

Python is readily available as a programming language for software and applications that utilize microservices architecture.

DOCKER

Docker is a fantastic technology that lets you isolate a group of processes from other processes on the same machine. You can have two or more groups of functions with their file systems, network ports, and so on. You can think of it as a Python virtual environment, but for the whole system and more secure (Hipschman, 2021). Docker is perfect for deploying a Python microservice because you can package all the dependencies and run the microservice in an isolated environment. When you deploy your microservice to the cloud, it can run on the same machine as other microservices without stepping on one another’s toes, enabling better resource utilization (Hipschman, 2021).

NETWORKING

You can connect to your Marketplace microservice, but it can’t connect to the Recommendations microservice anymore. The containers are isolated. Luckily, Docker provides a solution to this. You can create a virtual network and add both your containers to it. You can also give them DNS names so they can find each other. Below, you’ll create a microservices network and run the Recommendations microservice on it. You’ll also give it the DNS name recommendations.

The docker network creates command creates the network. You only need to do this once, and then you can connect multiple containers to it. You then add ‑‑network microservices to the docker run command to start the container on this network. Finally, the ‑‑name recommendations option gives it the DNS name recommendations.

KUBERNETES DEPLOYMENT

Kubernetes is a portable, extensible, open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation which has a large, rapidly growing ecosystem with various services, support, and tools are widely available (Kubernetes, 2021).

CONCLUSION

Microservices are a way to manage complex systems. They become a natural way to organize code as an organization grows. Understanding how to effectively implement microservices in Python can make you more valuable to your company as it grows (Hipschman, 2021).

REFERENCES:

Hipschman, D. (2021). Python Microservices With gRPC. Real Python. http://www.realpython.com/python-microservices-grpc/

Kubernetes. (2021). What is Kubernetes?. http://www.kubernetes.io/docs/concepts/overview/what-is-kubernetes/

Makai, M. (2021). Microservices. Full Stack Python. http://www.fullstackpython.com/microservices.html

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