This is step 4 of 5 of Hands-On Project 4 for Amazon Web Services. In this step, you do final configuration of the Elastic Beanstalk environment, then deploy the application. Back to Project Configure Environment Variables The configuration files in our Django application use the environment variable DJANGO_SETTINGS_MODULE to determine…
Author: Mike Denzien
Tailor a Django Application for Deployment to Elastic Beanstalk
This is step 3 of 5 of Hands-On Project 4 for Amazon Web Services. In this step, you make final changes to the Django application configuration to allow it to be deployed successfully to Elastic Beanstalk. Back to Project Add a Procfile Within Elastic Beanstalk, a Procfile directs the Elastic…
Install Application Code and Populate the Production Database
This is step 2 of 5 of Hands-On Project 4 for Amazon Web Services. In this step, you install updated application code on your cloud PC, then build and initialize the production database for the e-commerce demo application. Back to Project Approach To complete this step, we will use the…
Provision an Elastic Beanstalk Environment for a Web Application
This is step 1 of 5 of Hands-On Project 4 for Amazon Web Services. In this step, you create an Elastic Beanstalk environment to host our e-commerce demo application in production. Back to Project Create Elastic Beanstalk Application Within Elastic Beanstalk, there is a separate setup for each application. Within…
Deploy a Production Application using PaaS Services on AWS
In this part of the project, we deploy an e-commerce demo application to production using Platform as a Service on AWS. Approach Our demo application provides a REST API and is written in Python using the Django REST Framework. The application is backed by a relational database for which we…
Deploy a Production Application Using PaaS Services on Azure
In this part of the project, we deploy an e-commerce demo application to production using Platform as a Service on Azure. Approach Our demo application provides a REST API and is written in Python using the Django REST Framework. The application is backed by a relational database for which we…
Hands-On Project 4: Application Deployment Using Platform as a Service
In this project, you will use PaaS services on both Azure and AWS to build a pseudo-production environment for our e-commerce demo application, deploy the application, and become familiar with the application’s behavior in production. Overview Once an application is built and tested on development computers, the task of moving…
Serverless Computing: Implement an Azure Function using Visual Studio Code
In this part of the project, we implement an Azure function from the following specification: Specification The function will be triggered by an HTTP request. The HTTP request will contain the name of an uploaded file that exists on Azure Blob storage. The function must support using either GET or…
Hands-On Project 3: Serverless Computing
In this project, you gain initial exposure to serverless functions on both Azure and Amazon Web Services. Overview The purpose of this project is to gain initial exposure to serverless functions on both Azure and Amazon Web Services. The principal benefits of working through this exercise are: You will gain…
Serverless Computing: Implement an AWS Lambda Function using the Management Console
In this part of the project, we will implement a Lambda function from the following specification: Specification The Lambda function will be triggered by creation of an object in an S3 Bucket. The Lambda function will write information about the uploaded object to a DynamoDB table. The function will capture…