AWS - CodeDevelop - ElasticBeanstalk

• AWS ElasticBeanstalk 
  • basics
  • benefits
  • Blue/green deployment
  • Elastic Beanstalk for docker

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AWS ElasticBeanstalk 

basics

• AWS compute service option.

• PaaS

• deploys your code on:
  • Apache Tomcat for Java applications;
  • Apache HTTP Server for PHP and Python applications;
  • NGINX or Apache HTTP Server for Node.js applications;
  • Passenger or Puma for Ruby applications;
  • Microsoft Internet Information Services (IIS) for .NET applications, Java SE, Docker, and Go.

Setup:

1. Elastic Beanstalk > create a web app
   • single docker container or multiple docker container
   • upload application code zip
     • dockerfile
     • application.py
   • create application
   • get the url
     • web application server from the container running in Elastic Beanstalk
2. upgrade
   • select upload and deploy
   • go to version page and select the previous version.

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benefits

• fully managed
  • The entire platform is already built, only need to upload code
• fast and simple way
  1. to get web application up and runninng
     • quick deployment, scaling, and management of web applications and services.
       • Choose instance type, database, set and adjust automaticscaling, update application, access the server log files, and enable HTTPS on the load balancer.
     • provides all the application services that you need for your application.
       • make deploying your application a quick and easy process.
       • Use the AWS Management Console, a Git repository, or an integrated development environment(IDE) such as Eclipse or Visual Studio to upload your application.
       • deploy code through the AWS Management Console, AWS CLI, Visual Studio, and Eclipse.
       • supports a broad range of platforms (Docker, Go, Java, .NET, Node.js, PHP, Python, and Ruby).
  2. supports the deployment of Docker containers
     • Docker containers: are self-containered and include all the configuration information and software your web application required to run,
       • libraries, system tools, code&runtime
• automated deployment scaling service for web applications
  • Elastic Beanstalk automatically handles the deployment details of
    • capacity provisioning, Load balancing, auto scaling, and application health monitoring
    • Application platform management
    • automated infrastructure management
    • Code deployment
• improve developer productivity
  • focusing on writing code
  • instead of managing and configuring servers, databases, load balancers, firewalls, and networks.
  • AWS updates the underlying platform that runs your application with patches and updates.
• Elastic Beanstalk is difficult to outgrow
  • With Elastic Beanstalk, the application can handle peaks in workload or traffic while minimizing your costs.
  • It automatically scales your application up or down based on your application’s specific needs by using easily adjustable automatic scaling settings.
  • use CPU utilization metrics to trigger automatic scalingactions.
• free to select the AWS resource (like EC2 instance type) optimal for the application.
  • retain full control over the AWS resources that power the application
  • and can access the underlying resources at any time.
  • If decide to take over some (or all) of the elements of the infrastructure, do so seamlessly by using the management capabilities that are provided by Elastic Beanstalk.
• no additional charge for AWS Elastic Beanstalk.
  • pay for the AWS resources (for example, EC2 instances or S3 buckets) created to store and run your application.
  • only pay for what you use, as you use it.
  • no minimum fees or upfront commitments.

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Blue/green deployment

One of the challenges of automating deployment is the cutover,

• when take software from the final stage of testing to live production.

Blue/green deployment on AWS Elastic Beanstalk

• Blue/green
  • the live production environment is “blue”
  • the new deployment environment is “green”
  • 
• test new hardware or applications without going fully into production </font>
• quickly deploy the application without downtime for web application.
  • deploy updates to the green deployment and attach it to your load balancer.
  • After the green deployment is complete and functional, begin to shut down or upgrade the blue deployment.
  • also can rapid roll back switching back to blue deployment if the green environment is not working properly.

Blue/green deployment on AWS CloudFormation

• AWS CloudFormation templates were used instead of Elastic Beanstalk.
  • It takes little more effort than the Elastic Beanstalk approach.
  • 
• use AWS CloudFormation to implement the blue/green deployment.
  • Traffic was trickled from Stack 1 to Stack 2 until it was apparent that Stack 2 was functional.
  • After Stack 2 was functional, the connection to Stack 1 (former production environment) was taken away.
  • Stack 2 became the new production environment, and the old production environment was torn down.
• used if your code is using a supported runtime (Ruby, Python, etc.)
• when needing minimal to no admin overhead
• key architecture components in Elastic Beanstalk
  • an application
    • The base entity of Elastic Beanstalk is an application.
    • An Elastic Beanstalk’s application can be thought of as a container.
  • environment
    • work environment or web server environment.
    • allows for quick environment deployment and management of an application
    • an application can contain zero to multiple environments
    • Each environment has a different URL
      • can use each URL for A/B testing to see which application version is better for users.
    • Environments live in an application container and it references a specific application version
    • application container > environment > a single application version
  • An application version
    • a distinct version of an app’s code that’s packaged into a source bundle.

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Elastic Beanstalk for docker

1. deploy docker container
   • single docker container
     • run a single docker container on an EC2 instance provisioned by Elastic Beanstalk
   • multiple docker container
     • use Elastic Beanstalk to build an ECS cluster and deploy multiple docker container on each instance
2. deploy your code
   • upload a zip file containing the code bundle and Elastic Beanstalk will do the rest.
3. upload your code
   • upgrade your application to a new version
   • one easy step in the concole to upload and deploy.

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