You were just hired as a DevOps Engineer for a startup.
Your startup uses AWS for 100% of its infrastructure.
They currently have no automation at all for deployment.
They have had many failures while trying to deploy to production.
The company has told you deployment process risk mitigation is the most important thing now, and you have a lot of budget for tools and AWS resources.
Click on the arrows to vote for the correct answer
A. B. C. D. E.Answer - B.
Here you are using 2 of the best practices for deployment, one is Blue-Green Deployments, and the other is using Nested Cloudformation stacks.
The AWS Documentation mentions the below on nested stacks.
As your infrastructure grows, common patterns can emerge in which you declare the same components in each of your templates.
You can separate out these common components and create dedicated templates for them.
That way, you can mix and match different templates but use nested stacks to create a single, unified stack.
Nested stacks are stacks that create other stacks.
To create nested stacks, use the AWS::CloudFormation::Stackresource in your template to reference other templates.
For more information on Cloudformation best practices, please visit the link:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/best-practices.htmlFor more information on Blue-Green Deployment, please visit the link:
https://d0.awsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdfSure, I'll be happy to provide a detailed explanation of each answer option.
Option A: Model the stack in AWS Elastic Beanstalk as a single Application with multiple Environments. Use Elastic Beanstalk's Rolling Deploy option to roll out application code changes when promoting across environments progressively.
This option recommends using AWS Elastic Beanstalk to deploy the application. Elastic Beanstalk is a managed service that allows you to easily deploy and scale web applications and services developed in Java, .NET, Node.js, Python, Ruby, Go, and Docker. Elastic Beanstalk can handle the deployment of the entire stack, including the application code, web server, database, and other dependencies.
The proposed solution recommends modeling the stack as a single application with multiple environments in Elastic Beanstalk. Multiple environments can be used to represent different stages in the deployment pipeline, such as development, testing, and production. Elastic Beanstalk's Rolling Deploy option can be used to roll out application code changes when promoting across environments progressively. This can minimize the risk of failures during deployment by allowing you to gradually deploy changes to production.
Option B: Model the stack in three CloudFormation templates: Data layer, compute layer, and networking layer. Write stack deployment and integration testing automation following Blue-Green methodologies.
This option recommends using AWS CloudFormation to deploy the application. CloudFormation is a service that allows you to create and manage AWS resources using templates. You can model your entire infrastructure using CloudFormation templates, which allows you to automate the deployment of the entire stack.
The proposed solution recommends modeling the stack in three CloudFormation templates: Data layer, compute layer, and networking layer. This approach separates the stack into three layers, which can make it easier to manage and deploy. The solution also recommends using Blue-Green methodologies for deployment and integration testing. Blue-Green deployment is a technique that involves deploying a new version of the application to a new set of servers, testing it, and then switching traffic to the new servers when ready. This can minimize the risk of failures during deployment by allowing you to test the new version of the application before it goes live.
Option C: Model the stack in AWS OpsWorks as a single Stack, with 1 compute layer and its associated EL.
This option recommends using AWS OpsWorks to deploy the application. OpsWorks is a configuration management service that uses Chef to automate infrastructure deployments. You can use OpsWorks to model your entire stack and automate the deployment of the entire stack.
The proposed solution recommends modeling the stack in OpsWorks as a single stack, with one compute layer and its associated Elastic Load Balancer (EL). This approach simplifies the stack and makes it easier to manage. OpsWorks uses Chef to automate infrastructure deployments, which can minimize the risk of failures during deployment.
Option D: Use Chef and App Deployments to automate Rolling Deployment.
This option recommends using Chef and App Deployments to deploy the application. Chef is a configuration management tool that allows you to automate the deployment of infrastructure and applications. App Deployments is a feature of Chef that allows you to deploy applications to servers.
The proposed solution recommends using Chef and App Deployments to automate Rolling Deployment. This approach allows you to automate the deployment of the entire stack, including the application code, web server, database, and other dependencies. Rolling Deployment can be used to gradually deploy changes to production, which can minimize the risk of failures during deployment.
Option E: Model the stack in 1 CloudFormation template to ensure consistency and dependency graph resolution. Write deployment and integration testing automation following Rolling Deployment methodologies.
This option recommends using AWS CloudFormation to deploy the application. CloudFormation is a service that allows you to create and manage AWS resources using templates. You can model your entire infrastructure using CloudFormation templates, which allows you to automate the deployment of the entire stack.
The proposed solution