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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.
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