Deployment, Provisioning & Automation

1. Can you explain the deployment process in AWS?

• The deployment process in AWS involves creating and uploading the application code, setting up necessary infrastructure, and configuring the environment. The steps include creating an AWS Elastic Beanstalk environment, uploading the application code, configuring the environment and deploying the application.

2. What is AWS CloudFormation and how does it aid in automation?

• AWS CloudFormation is a service that helps you model and set up your Amazon Web Services resources so you can spend less time managing those resources and more time focusing on your applications that run in AWS. CloudFormation allows you to automate the creation, updating, and deletion of resources in a safe and predictable way.

3. Can you explain the difference between an EC2 instance and an AMI?

• An EC2 instance is a virtual machine running in AWS. An Amazon Machine Image (AMI) is a pre-configured virtual machine image, used to create EC2 instances. An AMI contains the necessary information for creating a new EC2 instance, including the operating system, application server, and any additional software required to run the application.

4. What is Infrastructure as Code (IaC) and how does it help in the deployment process?

• Infrastructure as Code (IaC) is the approach of managing infrastructure resources in a declarative way using configuration files, instead of manual processes. This helps in the deployment process as it enables consistent and repeatable deployments, making it easier to manage infrastructure changes and troubleshoot issues.

5. Can you explain the difference between continuous integration and continuous deployment?

• Continuous Integration (CI) is the process of automatically building and testing code changes every time a developer pushes code changes to the code repository. Continuous Deployment (CD) takes it a step further by automatically deploying the code to production if all tests have passed. CD ensures that code changes are quickly and safely deployed to production.

6. How does AWS Elastic Beanstalk aid in the deployment of web applications?

• AWS Elastic Beanstalk is a fully managed service that makes it easy to deploy, run, and scale web applications and services. It takes care of provisioning the infrastructure resources, deploying the application, and monitoring the application. This makes it easier for developers to focus on writing code, instead of managing infrastructure.

7. What is AWS Auto Scaling and how does it help with deployment and provisioning?

• AWS Auto Scaling is a service that helps ensure that you have the right number of EC2 instances running to handle the load for your application. It automatically increases or decreases the number of instances based on demand, ensuring that your application always has the required capacity. This helps with deployment and provisioning by automatically managing the resources needed to run the application, making it easier to scale the application as needed.

8. Can you explain the role of AWS CodePipeline in the deployment process?

• AWS CodePipeline is a fully managed continuous delivery service that helps automate the software release process. It integrates with other AWS services, such as AWS CodeCommit, AWS CodeBuild, and AWS CodeDeploy, to automate the entire deployment process. CodePipeline helps ensure that the application is automatically built, tested, and deployed every time there are code changes, making the deployment process faster and more reliable.

9. Can you explain the role of AWS CodeDeploy in the deployment process?

• AWS CodeDeploy is a fully managed deployment service that automates code deployments to Amazon EC2 instances, on-premises instances, or serverless Lambda functions. It helps ensure that code changes are deployed quickly and consistently to all instances, reducing the risk of downtime or errors during deployments. CodeDeploy integrates with other AWS services, such as AWS CodePipeline, to automate the entire deployment process.

10. What is a blue-green deployment and how can it be implemented in AWS?

• A blue-green deployment is a technique for releasing new versions of a software application by running two identical production environments, known as blue and green, at the same time. The green environment is updated with the new version of the application, while the blue environment continues to serve live traffic. Once the green environment is fully tested, traffic is switched over to the green environment, and the blue environment is retired. This technique helps minimize downtime during deployments and makes it easier to roll back if necessary. In AWS, blue-green deployments can be implemented using AWS Elastic Beanstalk, AWS CodeDeploy, and AWS CloudFormation.

11. Can you explain the role of AWS CloudWatch in the deployment and provisioning process?

• AWS CloudWatch is a monitoring service that helps you track the performance of your applications, resources, and infrastructure. It can be used to monitor the health of your applications and automatically take actions based on predefined rules. This helps in the deployment and provisioning process by providing visibility into the health of the resources, enabling faster problem resolution and reducing downtime.

12. Can you explain the role of AWS EC2 Systems Manager in the deployment and provisioning process?

• AWS EC2 Systems Manager is a collection of tools that helps you automate operational tasks across your Amazon EC2 instances, on-premises servers, and virtual machines. It can be used to manage the configuration of your instances, track and control changes to your instances, and automate routine operational tasks. This helps in the deployment and provisioning process by automating routine tasks, reducing the risk of errors and speeding up the process.

13. What is AWS Lambda and how does it aid in the deployment and provisioning process?

• AWS Lambda is a serverless computing platform that lets you run your code without provisioning or managing servers. You can use it to build and run applications and services, without having to worry about infrastructure. This helps in the deployment and provisioning process by abstracting away the underlying infrastructure, making it easier to focus on building and deploying the application, without having to worry about managing servers.

14. What is AWS EC2 Container Service (ECS) and how does it help with deployment and provisioning?

• AWS EC2 Container Service (ECS) is a fully managed container management service that makes it easy to run, manage, and scale Docker containers on the AWS Cloud. ECS automates the deployment, scaling, and management of containers, helping to ensure that your application is running in a highly available and scalable manner. This helps with deployment and provisioning by making it easier to manage and scale containers, reducing the risk of downtime or errors during deployments.

15. What is AWS Elastic Kubernetes Service (EKS) and how does it help with deployment and provisioning?

• AWS Elastic Kubernetes Service (EKS) is a managed Kubernetes service that makes it easy to run, manage, and scale containerized applications using Kubernetes on the AWS Cloud. EKS automates the deployment, scaling, and management of Kubernetes clusters, making it easier to run, manage, and scale containerized applications. This helps with deployment and provisioning by making it easier to manage and scale Kubernetes clusters, reducing the risk of downtime or errors during deployments.

16. Can you explain the difference between AWS CloudFormation and AWS Elastic Beanstalk?

• AWS CloudFormation is a service that helps you model and set up your Amazon Web Services resources, making it easier to automate the provisioning process. CloudFormation templates describe the resources and configurations you want to create and can be used to automate the creation and deletion of these resources.

AWS Elastic Beanstalk is a fully managed service for deploying and running web applications, making it easier to deploy, run, and scale web applications. Elastic Beanstalk provides a simplified deployment and management experience, handling all of the underlying infrastructure for you, and abstracting it away from the developer.

The key difference between the two is that CloudFormation provides a more granular way of creating and managing resources, while Elastic Beanstalk provides a more simplified and automated way of deploying and running applications.

17. Can you explain the difference between AWS EC2 Container Service (ECS) and AWS Elastic Beanstalk?

• AWS EC2 Container Service (ECS) is a fully managed container management service that makes it easy to run, manage, and scale Docker containers on the AWS Cloud. ECS automates the deployment, scaling, and management of containers, making it easier to run and manage containerized applications.

AWS Elastic Beanstalk is a fully managed service for deploying and running web applications, making it easier to deploy, run, and scale web applications. Elastic Beanstalk provides a simplified deployment and management experience, handling all of the underlying infrastructure for you, and abstracting it away from the developer.

The key difference between the two is that ECS provides a more granular way of running and managing containers, while Elastic Beanstalk provides a more simplified and automated way of deploying and running web applications.

18. Can you explain the difference between AWS EC2 Container Service (ECS) and AWS Elastic Kubernetes Service (EKS)?

• AWS EC2 Container Service (ECS) is a fully managed container management service that makes it easy to run, manage, and scale Docker containers on the AWS Cloud. ECS automates the deployment, scaling, and management of containers, making it easier to run and manage containerized applications.

AWS Elastic Kubernetes Service (EKS) is a managed Kubernetes service that makes it easy to run, manage, and scale containerized applications using Kubernetes on the AWS Cloud. EKS automates the deployment, scaling, and management of Kubernetes clusters, making it easier to run, manage, and scale containerized applications.

The key difference between the two is that ECS provides a way to run and manage Docker containers on the AWS Cloud, while EKS provides a way to run, manage, and scale applications using Kubernetes on the AWS Cloud.

19. Can you explain the difference between Amazon EC2 Auto Scaling and AWS Elastic Beanstalk Auto Scaling?

• Amazon EC2 Auto Scaling is a service that automatically adjusts the number of Amazon EC2 instances in your application’s Auto Scaling group, in response to changes in demand for your application. EC2 Auto Scaling helps ensure that you have the right number of EC2 instances available to handle the load for your application.

AWS Elastic Beanstalk Auto Scaling is a feature of AWS Elastic Beanstalk that automatically adjusts the number of Amazon EC2 instances in your environment, in response to changes in demand for your application. Elastic Beanstalk Auto Scaling helps ensure that you have the right number of EC2 instances available to handle the load for your application.

The key difference between the two is that EC2 Auto Scaling is a standalone service that can be used with any Amazon EC2 instances, while Elastic Beanstalk Auto Scaling is a feature of AWS Elastic Beanstalk that is specifically designed to work with Elastic Beanstalk environments.

20. Can you explain the difference between Amazon EC2 Auto Scaling and Amazon EC2 Auto Scaling with Application Load Balancer?

• Amazon EC2 Auto Scaling is a service that automatically adjusts the number of Amazon EC2 instances in your application’s Auto Scaling group, in response to changes in demand for your application. EC2 Auto Scaling helps ensure that you have the right number of EC2 instances available to handle the load for your application.

Amazon EC2 Auto Scaling with Application Load Balancer is a service that automatically adjusts the number of Amazon EC2 instances in your application’s Auto Scaling group, in response to changes in demand for your application, and automatically balances the incoming traffic across the Amazon EC2 instances using an Application Load Balancer.

The key difference between the two is that EC2 Auto Scaling with Application Load Balancer provides automatic load balancing in addition to automatic scaling, while EC2 Auto Scaling provides only automatic scaling.