Be taught the way it all suits collectively!
What you’ll be taught
This course will present you ways the most recent applied sciences in net growth match collectively and find out how to apply them in net functions.
We are going to begin by organising our growth surroundings with Python, PyCharm, Docker and Anaconda, then we’ll containerize and deploy our utility.
We are going to take a look at its efficiency and limitations and we’ll enhance our microservice structure with Redis for caching, Gunicorn as our deployment server, and Nginx as our load balancer.
Our aim, by the tip of this course is that will help you perceive how these applied sciences work collectively so you may confidently go on designing and constructing superior net functions.
Primary understanding of net functions and the willingness to be taught and experiment.
Who this course is for:
- Newbie net builders and DevOps engineers seeking to put their data into follow.