Deploy Applications Quickly: Strategies for Multi-Language Environments

Deploy Applications as Quickly as Possible

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Question

You work for a very large company that has multiple applications which are very different and built on different programming languages.

How can you deploy applications as quickly as possible?

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

Answer - C.

Elastic Beanstalk supports the deployment of web applications from Docker containers.

With Docker containers, you can define your own runtime environment.

You can choose your own platform, programming language, and any application dependencies (such as package managers or tools), that aren't supported by other platforms.

Docker containers are self-contained and include all the configuration information and software your web application requires to run.

Option A is an inefficient way to use Docker.

The entire idea of Docker is that you have a separate environment for various applications.

Option B is ideally used to running code and not packaging the applications and dependencies.

Option D is not ideal for deploying Docker containers using Cloudformation.

For more information on Docker and Elastic Beanstalk, please visit the below URL:

http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/create_deploy_docker.html

Option A: Develop all apps in one Docker container and deploy using ElasticBeanstalk This option may not be feasible as different applications built on different programming languages may require different dependencies and configurations. Trying to fit all applications into a single Docker container may result in a complex and hard-to-maintain system.

Option B: Create a Lambda function deployment package consisting of code and any dependencies This option is suitable for small, lightweight applications that can run within the 15-minute timeout limit of Lambda functions. However, if the applications are complex or require longer execution times, this option may not be suitable.

Option C: Develop each app in a separate Docker container and deploy using Elastic Beanstalk This option offers a more scalable and flexible approach as each application can have its own Docker container with its own dependencies and configurations. Elastic Beanstalk can manage the deployment and scaling of the containers, making it easy to deploy and manage multiple applications.

Option D: Develop each app in a separate Docker container and deploy using CloudFormation This option offers even more control and customization as CloudFormation allows for the creation of templates that can define the infrastructure and resources needed for each application. However, it requires more setup and maintenance effort than Elastic Beanstalk.

In summary, option C is likely the most practical and efficient approach for deploying multiple applications built on different programming languages. Each application can have its own Docker container, and Elastic Beanstalk can handle the deployment and scaling of the containers. Option D using CloudFormation can offer more control, but may require more setup and maintenance effort. Option A and B are not suitable for applications with complex dependencies or longer execution times.