As a DevOps engineer, you are supporting the development team to deploy a new e-commerce software.
You have used AWS CodeDeploy to deploy the latest software release to several AWS EC2 instances.
In this CodeDeploy application, there are two Deployment groups called Stage and Prod.
Currently, the only difference between Stage and Prod is the logging level which can be configured in a file.
What is the most efficient way to implement the different logging levels for Deployment groups Stage and Prod?
Click on the arrows to vote for the correct answer
A. B. C. D.Correct Answer - B.
Since the only difference between Deployment Groups is logging level, the same set of sources files should be used with an environment variable to determine the Deployment Group.
About how to use environment variables in AppSec files, check this link https://docs.aws.amazon.com/codedeploy/latest/userguide/reference-appspec-file-structure-hooks.html.
Option A is incorrect: This is not the best solution as two revisions of files have to be maintained.
Option B is CORRECT: Because DEPLOYMENT_GROUP_NAME is the correct environment variable to determine the Deployment Group.
The below code can be used in the script file:
if [ "$DEPLOYMENT_GROUP_NAME" == "Staging" ]
then.
//modify the logging level here for Staging deployments.
fi.
Option C is incorrect: Because DEPLOYMENT_ID is used to tell the specific deployment that is unsuitable for this case.
Option D is incorrect: Because it should not maintain two versions of files.
Besides, Deployment Groups cannot be configured to use script files.
The most efficient way to implement different logging levels for Deployment groups Stage and Prod when using AWS CodeDeploy is by option B: For the script file in the BeforeInstall hook, use the environment variable DEPLOYMENT_GROUP_NAME to determine the Deployment Group. Then modify the logging level accordingly in the script.
Explanation:
Option A suggests creating two source versions of the script files in the BeforeInstall hook. This approach can work but is not very efficient as it requires maintaining two separate files and updating them every time there is a change in the logging level configuration. Additionally, it can be error-prone and difficult to manage.
Option B is the most efficient solution because it leverages an environment variable called DEPLOYMENT_GROUP_NAME. AWS CodeDeploy sets this variable automatically based on the deployment group associated with the EC2 instance. By using this variable in the script file in the BeforeInstall hook, the script can easily determine which deployment group it is running in and modify the logging level accordingly.
Option C suggests using the environment variable DEPLOYMENT_ID to determine the Deployment Group. However, DEPLOYMENT_ID is unique to each deployment, and using it to determine the deployment group is not a recommended approach.
Option D suggests creating two script files and modifying the deployment group configurations to use the correct script file. This approach is also feasible but requires more manual work to manage the deployment group configurations, which can be time-consuming and prone to errors.
In conclusion, option B is the best and most efficient way to implement different logging levels for Deployment groups Stage and Prod when using AWS CodeDeploy.