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Welcome to the project on Deploying Static App on Google Kubernetes Engine. In this project, we will learn how to deploy a static website on the Google Cloud Platform (GCP). It is very highly recommended to go through the project Testing App Locally on MiniKube, as the current project is dependent on that.
Pre-requisites: Testing App Locally on MiniKube
Welcome to this project on Testing App Locally on MiniKube. In this project, we will understand what is Kubernetes and what is Minikube.
As part of the hands-on, we will learn to set up Minikube with VirtualBox in Windows 10 Home system. We will learn various concepts of Kubernetes like pods, deployments, services, and ingress, and have a look at how we could create them in various ways using different commands. We will also deploy the single container static web application - which we have dockerized as part of the Docker, Travis, and AWS project series - and access it using Kubernetes ingress.
Pre-requisite: Deploying App with Docker, Travis CI & AWS Elastic Beanstalk
Welcome to the project on Deploy Flask app with AWS RDS and ElastiCache Redis. In this project, we will learn how to use Amazon RDS and Amazon ElastiCache, how to connect them to AWS Elastic Beanstalk, and deploy a project based on these three technologies.
It is highly recommended to go through the playlist Deploy Multi-Container Docker App on AWS, before going through this project, for a better understanding of this project series.
A gentle introduction to web scraping using Python. We will learn how to scrape 2 different websites including Wikipedia, and Amazon using various Python libraries.
Welcome to this project on Deploying Multi-Container Docker App on AWS. In this app, we will learn how to build a Deploy Multi-Container Application using Flask, Redis and PosgreSQL.
We will use NGINX-uWSGI along with Flask as the web service, and connect it with the PostgreSQL and Redis container services. Then, we will understand how to automate the process of deploying the web-app on to Docker Hub, using GitHub and Travis CI. Finally, we will understand how to automate deployments on to AWS Elastic Beanstalk using GitHub and Travis.