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.
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.
Find out what your peers are saying about Amazon Web Services (AWS), Microsoft, Octopus Deploy and others in Release Automation. Updated: November 2024.
Application release automation (ARA) is the process of packaging and deploying an application or software update. ARA goes from development through production. The process, and the tooling that makes it happen, brings together solutions that automate deployment, manage and model environments and coordinate releases. ARA solutions sometimes form part of the broader DevOps process.
When PeerSpot members write about their preferences for Application Release Automation software, the word...
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.