AWS CodeDeploy is a deployment service that automates application deployments to various compute services. My main use cases include automated application deployments to Amazon EC2 instances, on-premises servers, AWS Lambda, and Amazon ECS. In my projects, I have deployed backend services through AWS CodeDeploy to EC2 instances. For every release and pre-development release planned for production, I use AWS CodeDeploy to deploy to all four AWS EC2 instances, which allows me to achieve the desired output. The primary use case for AWS CodeDeploy is automatic application deployment, which I consider the best aspect of the service.
My usual use cases for AWS CodeDeploy involve utilizing it as an AWS service, which is a subservice of CodePipeline. AWS CodePipeline is a whole package of services which consists of AWS CodeDeploy and CodeBuild, all together forming a full-fledged pipeline for AWS Cloud. If you are looking for a pipeline and you are already a customer of AWS, then that's a go for you there. In terms of flexibility, we have only used AWS CodeDeploy for cloud deployments; we do not have any on-premises servers for AWS CodeDeploy. The only on-premises resource we have is a database on AS/400, which does not require deployment. Thus, our company has a strictly cloud use case for AWS CodeDeploy.
I remember it was a Node.js API that I deployed to some EC2 instances. I was trying to use PM2, a process manager, to deploy the application to the end users.
Digital Technology Analyst at a tech services company with 10,001+ employees
MSP
Top 10
Feb 12, 2025
I primarily use CodeDeploy for deploying infrastructure on AWS, specifically for deployments and modifications when changes are made. It is used to manage and create infrastructure.
Systems Lead Developer at Columbia University Medical Center
Real User
Top 20
Jan 20, 2025
My primary use case is for deploying work that I have done on the server. I have created YAML files that are in the local code, which automatically run to perform deployment into AWS via GitHub. Setting it up took some time, but subsequent runs take minutes.
We use CodeDeploy to deploy services onto different platforms within AWS, such as EC2 services or containers like EKS, which is part of Kubernetes, or Elastic Container Services like ECS. This depends on the platform we wish to deploy on.
Senior Project Engineer at a tech vendor with 10,001+ employees
Real User
Top 5
Aug 29, 2024
I mostly use it for Jenkins. While using Jenkins, I have been using AWS CodeDeploy. We have been doing deployments using EKS and containerized cluster deployments. Mostly on-prem applications only. We have been working on it.
I recommended using AWS CodeDeploy for a small customer, an institute that wanted their application replicated on AWS. AWS CodeDeploy was chosen for its simplicity and ease of integration. Unlike other tools that require extensive scripting for each stage, it offers a drag-and-drop functionality, making the deployment process easy.
AWS CodeDeploy integrates with AWS services to enhance scalability, monitoring, and security. It supports zero-downtime deployments using rolling updates and blue-green strategies, offering cost-efficiency, automation, and flexibility. AWS CodeDeploy streamlines code deployments across EC2, EKS, and container services. It excels in integration, automatically executing upon code push and playing a critical role in continuous integration pipelines. Its drag-and-drop functionality and cloud...
AWS CodeDeploy is a deployment service that automates application deployments to various compute services. My main use cases include automated application deployments to Amazon EC2 instances, on-premises servers, AWS Lambda, and Amazon ECS. In my projects, I have deployed backend services through AWS CodeDeploy to EC2 instances. For every release and pre-development release planned for production, I use AWS CodeDeploy to deploy to all four AWS EC2 instances, which allows me to achieve the desired output. The primary use case for AWS CodeDeploy is automatic application deployment, which I consider the best aspect of the service.
My usual use cases for AWS CodeDeploy involve utilizing it as an AWS service, which is a subservice of CodePipeline. AWS CodePipeline is a whole package of services which consists of AWS CodeDeploy and CodeBuild, all together forming a full-fledged pipeline for AWS Cloud. If you are looking for a pipeline and you are already a customer of AWS, then that's a go for you there. In terms of flexibility, we have only used AWS CodeDeploy for cloud deployments; we do not have any on-premises servers for AWS CodeDeploy. The only on-premises resource we have is a database on AS/400, which does not require deployment. Thus, our company has a strictly cloud use case for AWS CodeDeploy.
I remember it was a Node.js API that I deployed to some EC2 instances. I was trying to use PM2, a process manager, to deploy the application to the end users.
I primarily use CodeDeploy for deploying infrastructure on AWS, specifically for deployments and modifications when changes are made. It is used to manage and create infrastructure.
My primary use case is for deploying work that I have done on the server. I have created YAML files that are in the local code, which automatically run to perform deployment into AWS via GitHub. Setting it up took some time, but subsequent runs take minutes.
We use CodeDeploy to deploy services onto different platforms within AWS, such as EC2 services or containers like EKS, which is part of Kubernetes, or Elastic Container Services like ECS. This depends on the platform we wish to deploy on.
I mostly use it for Jenkins. While using Jenkins, I have been using AWS CodeDeploy. We have been doing deployments using EKS and containerized cluster deployments. Mostly on-prem applications only. We have been working on it.
The solution is used to run things on servers.
I recommended using AWS CodeDeploy for a small customer, an institute that wanted their application replicated on AWS. AWS CodeDeploy was chosen for its simplicity and ease of integration. Unlike other tools that require extensive scripting for each stage, it offers a drag-and-drop functionality, making the deployment process easy.
We use CodeDeploy to deploy code across multiple instances and servers.