Notes

Docker is a software platform that allows you to build, test, and deploy applications quickly. Docker packages software into standardized units called containers that have everything the software needs to run including libraries, system tools, code, and runtime. Using Docker, you can quickly deploy and scale applications into any environment and know your code will run.
Running Docker on AWS provides developers and admins a highly reliable, low-cost way to build, ship, and run distributed applications at any scale. How Docker works
Docker works by providing a standard way to run your code. Docker is an operating system for containers. Similar to how a virtual machine virtualizes (removes the need to directly manage) server hardware, containers virtualize the operating system of a server. Docker is installed on each server and provides simple commands you can use to build, start, or stop containers.
AWS services such as AWS Fargate, Amazon ECS, Amazon EKS, and AWS Batch make it easy to run and manage Docker containers at scale. Why use Docker
Using Docker lets you ship code faster, standardize application operations, seamlessly move code, and save money by improving resource utilization. With Docker, you get a single object that can reliably run anywhere. Docker's simple and straightforward syntax gives you full control. Wide adoption means there's a robust ecosystem of tools and off-the-shelf applications that are ready to use with Docker.
How to create a VPC
This tutorial uses one of the VPC creation wizards to create the following:
The VPC
One of the subnets
An Internet gateway
To create your VPC using the VPC wizard
Open the Amazon VPC console at https://console.aws.amazon.com/vpc/.
On the VPC Dashboard, choose Launch VPC Wizard.
Under Step 1: Select a VPC Configuration, on VPC with a Single Public Subnet, choose Select.
Enter the following information into the wizard and choose Create VPC.
IP CIDR block
10.0.0.0/16

VPC name
ADS VPC

Public subnet
10.0.0.0/24

Availability Zone
No Preference

Subnet name
ADS Subnet 1

Enable DNS hostnames
Leave default selection

Hardware tenancy
Default


It takes several minutes for the VPC to be created. After the VPC is created, proceed to the following section to add a second subnet.

Advantage of elastic bean

These are the following AWS Elastic Beanstalk benefits, let’s see them one by one:
a. Flexible and Easy to Begin
AWS made it easy to deploy the application on AWS. It can be done with the help of AWs Management Console, Visual Studio or Eclipse to upload your application. AWS EBSautomatically manages the deployment details of capacity provisioning, auto-scaling, and application health monitoring.
Within a moment your application will be ready and can be used without any resource configuration and infrastructure work on the coder’s part.

b. Scaling the Demand
Adjustable Auto scaling settings help Elastic Beanstalk to automatically scale the application. Your application can handle peaks in workload or traffic while minimizing your costs.
For an instance to trigger Auto Scaling Actions one can use CPU Utilization Metrics. It also helps you to minimize the cost while keeping the application at the peak

Control Over Tools
AWS provides you the control over tools and resources such as Amazon EC2 instance type which is optimal for the application. AWS Elastic Beanstalk Management Capabilities helps us to take over the few or all the elements of the infrastructure. For, powering your application EBS allows full.

What is AWS Elastic Beanstalk?
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Amazon Web Services (AWS) comprises over one hundred services, each of which exposes an area of functionality. While the variety of services offers flexibility for how you want to manage your AWS infrastructure, it can be challenging to figure out which services to use and how to provision them.

With Elastic Beanstalk, you can quickly deploy and manage applications in the AWS Cloud without having to learn about the infrastructure that runs those applications. Elastic Beanstalk reduces management complexity without restricting choice or control. You simply upload your application, and Elastic Beanstalk automatically handles the details of capacity provisioning, load balancing, scaling, and application health monitoring.

Elastic Beanstalk supports applications developed in Go, Java, .NET, Node.js, PHP, Python, and Ruby. When you deploy your application, Elastic Beanstalk builds the selected supported platform version and provisions one or more AWS resources, such as Amazon EC2 instances, to run your application.

You can interact with Elastic Beanstalk by using the Elastic Beanstalk console, the AWS Command Line Interface (AWS CLI), or eb, a high-level CLI designed specifically for Elastic Beanstalk.

To learn more about how to deploy a sample web application using Elastic Beanstalk, see Getting Started with AWS: Deploying a Web App.

You can also perform most deployment tasks, such as changing the size of your fleet of Amazon EC2 instances or monitoring your application, directly from the Elastic Beanstalk web interface (console).

To use Elastic Beanstalk, you create an application, upload an application version in the form of an application source bundle (for example, a Java .war file) to Elastic Beanstalk, and then provide some information about the application. Elastic Beanstalk automatically launches an environment and creates and configures the AWS resources needed to run your code. After your environment is launched, you can then manage your environment and deploy new application versions. The following diagram illustrates the workflow of Elastic Beanstalk.


Elastic Beanstalk flow

After you create and deploy your application, information about the application—including metrics, events, and environment status—is available through the Elastic Beanstalk console, APIs, or Command Line Interfaces, including the unified AWS CLI.