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AWS CodeDeploy VS Coded

Compare AWS CodeDeploy VS Coded and see what are their differences

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AWS CodeDeploy logo AWS CodeDeploy

AWS CodeDeploy is a service that automates code deployments to any instance.

Coded logo Coded

Simple way to get web apps, databases and static sites online on VPS, cloud and dedicated servers
  • AWS CodeDeploy Landing page
    Landing page //
    2023-04-28
  • Coded Landing page
    Landing page //
    2019-09-01

AWS CodeDeploy features and specs

  • Automation
    AWS CodeDeploy automates the application deployment process, enabling faster and more consistent releases. This reduces manual intervention and the risk of human error.
  • Supports Multiple Platforms
    CodeDeploy allows deployments to Amazon EC2 instances, on-premises servers, Lambda functions, and ECS services, providing flexibility in deployment targets.
  • Scalability
    CodeDeploy is designed to handle deployments at scale, making it suitable for both small projects and large enterprises.
  • Rollback Capabilities
    If a deployment fails, CodeDeploy can automatically roll back to the previous version, minimizing downtime and maintaining application stability.
  • Integration with CI/CD Tools
    AWS CodeDeploy integrates seamlessly with other AWS services and popular CI/CD tools like Jenkins, GitHub Actions, and Bitbucket Pipelines, facilitating a smooth CI/CD pipeline.
  • Monitoring and Logging
    CodeDeploy provides detailed logs and monitoring through Amazon CloudWatch, making it easier to track deployments and troubleshoot issues.

Possible disadvantages of AWS CodeDeploy

  • Complexity for Beginners
    AWS CodeDeploy can be complex for beginners, requiring a good understanding of AWS services and deployment strategies.
  • Cost
    While CodeDeploy itself is free, other associated AWS resources (e.g., EC2 instances, data transfer) can incur costs, which might add up depending on usage.
  • Learning Curve
    The service involves a learning curve, especially for teams new to AWS or DevOps practices, which can delay implementation and require additional training.
  • Limited Non-AWS Integrations
    While CodeDeploy integrates well with AWS services and popular CI/CD tools, its integration capabilities with non-AWS ecosystems might be more limited.
  • Configuration Overhead
    Setting up and configuring AWS CodeDeploy can be time-consuming, requiring detailed setup of deployment configurations and application specifications.
  • Service Dependency
    As a managed AWS service, CodeDeploy's availability and performance are dependent on AWS infrastructure, which may be a concern for some critical applications.

Coded features and specs

No features have been listed yet.

AWS CodeDeploy videos

+ Add

Deploying AWS CodeDeploy - Automated Software Deployment on AWS

More videos:

  • Review - AWS CodeDeploy | Pipeline | Setup | Deploy application on EC2 using GitHub as source

Coded videos

No Coded videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to AWS CodeDeploy and Coded)

AWS CodeDeploy

Coded

Continuous Deployment
88 88%
Continuous Deployment
12% 12
Continuous Integration
79 79%
Continuous Integration
21% 21
DevOps Tools
81 81%
DevOps Tools
19% 19
Development
100 100%
Development
0% 0

User comments

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Social recommendations and mentions

Based on our record, AWS CodeDeploy seems to be more popular. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

AWS CodeDeploy mentions (13)

  • Passing the AWS Certified DevOps Engineer - Professional exam
    AWS CodeDeploy is a deployment service that automates application deployments to Amazon EC2 instances, on-premises instances, serverless Lambda functions, or Amazon ECS services. A compute platform is a platform on which CodeDeploy deploys an application. There are three compute platforms:. - Source: dev.to / about 1 year ago
  • CLI tools at Aha!
    When we deploy code at Aha! We kick off a number of AWS CodeDeploy tasks running in parallel. Here's some code to simulate deployment:. - Source: dev.to / over 1 year ago
  • The best approach to deploy an Application to EC2 on Windows?
    AWS has a service named CodeDeploy for this. It does exactly what you describe. Source: about 2 years ago
  • Continuous Integration and Deployment on AWS - and a wishlist for CI/CD Tools on AWS
    AWS CodeDeploy is a fully managed deployment service that automates software deployments to various compute services, such as Amazon Elastic Compute Cloud (EC2), Amazon Elastic Container Service (ECS), AWS Lambda, and your on-premises servers. - Source: dev.to / over 2 years ago
  • Automatic AWS CloudFormation rollbacks upon a test failure in your CI pipelines
    AWS's developer suite of products includes the AWS CodeDeploy offering, which can help developers deploy AWS Lambda functions and other compute-related services. - Source: dev.to / over 2 years ago
View more

Coded mentions (0)

We have not tracked any mentions of Coded yet. Tracking of Coded recommendations started around Mar 2021.

What are some alternatives?

When comparing AWS CodeDeploy and Coded, you can also consider the following products

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.

Ansible - Radically simple configuration-management, application deployment, task-execution, and multi-node orchestration engine

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

Travis CI - Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CI’s precision syntax—all with the developer in mind.

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