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Pycharm professional flask3/15/2023 The application will be hosted on an Amazon ECS cluster running on Amazon Elastic Compute Cloud (Amazon EC2) instances, which will be located in the private subnets. Our resources in the private subnets access the internet through NAT gateways in the public subnets. ![]() We have attached an Internet Gateway to our VPC so that we can access the internet. We are deploying an Amazon Virtual Private Cloud (Amazon VPC) with two private and two public subnets. The following illustration shows the solution deployment in the AWS cloud environment: Terraform is then used to plan the architecture and apply the desired state configuration for the infrastructure and the API service running on ECS to a specified AWS account. A docker build command is executed to create the container image, which is then stored in Amazon ECR. That team member then follows the processes defined in this article to create an Amazon Elastic Container Registry (Amazon ECR) repository for storing the Docker image. That information is retrieved using a git pull command by a DevOps team member. We are using GitHub to store code used in this blog in a repository. This diagram illustrates a typical manual deployment mechanism using the open source tools defined above. The diagram shows the process and a summary of what is being performed and delivered: The following depiction illustrates the solution workflow. Lastly, we will perform basic testing of the API we create using SoapUI, a functional testing tool for SOAP and REST-based APIs.įinally, our goal is to provide the knowledge of how to deploy an API to the AWS cloud leveraging open source tools. In addition to explaining how to configure an API, we will cover how to automate the deployment of AWS services using Terraform, an open source infrastructure as code software tool. We will containerize our Flask application using Docker, an open source tool used to create and execute applications in containers, and deploy it to Amazon Elastic Container Service (Amazon ECS). Flask is a micro web framework written in Python. Specifically, we will deploy a Python Flask REST API that will allow users to post their favorite artists and songs from the ’90s to an Amazon DynamoDB database. ![]() The project we will create addresses how to build and deploy an API to the AWS cloud using open source tools. In this article, we will demonstrate how to build and deploy an API running in a microservice architecture. APIs work in conjunction with microservices as they can be leveraged to connect services together, provide a programmable interface for developers to access data, and provide connectivity to existing legacy systems. Each service runs its own processes and is independently deployable. The microservice model configures an application as a suite of small services. APIs have grown in popularity as organizations have increasingly designed their applications as microservices. As a result, there is a growing need in many organizations for flexible patterns that can be leveraged to develop new applications and functionality to interact with their data.ĪPIs, or application program interfaces, are a utility that can help to enable organizations continuously deliver customer value. Organizations leverage data to better understand and deliver value to their customers. Data has become the language of business.
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