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AWS CodeDeploy

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AWS CodeDeploy vs AWS OpsWorks: What are the differences?

Introduction

AWS CodeDeploy and AWS OpsWorks are both deployment services provided by Amazon Web Services. While they both aim to simplify the deployment process, there are key differences between the two. This article will outline and compare the main differences between AWS CodeDeploy and AWS OpsWorks.

  1. Deployment Target Type: AWS CodeDeploy is primarily designed to deploy applications to any type of compute instance, including EC2 instances, on-premises servers, and Lambda functions. On the other hand, AWS OpsWorks focuses more on automating infrastructure management and is primarily used to deploy and manage applications on EC2 instances.

  2. Deployment Model: AWS CodeDeploy works on a code-centric model, where it deploys new versions of the application code. It offers flexible deployment options such as in-place updates and blue/green deployments. On the other hand, AWS OpsWorks follows a stack-based model, where the entire stack, including the operating system and application code, is versioned and deployed together.

  3. Level of Abstraction: AWS CodeDeploy operates at a lower level of abstraction, providing fine-grained control over the deployment process. It allows custom scripts and hooks to be executed during different stages of the deployment. In contrast, AWS OpsWorks provides a higher level of abstraction and automates tasks such as instance provisioning, software configuration, and application deployment.

  4. Workflow and Automation: AWS CodeDeploy allows for fully customizable and scripted deployment workflows, allowing for more granular control and automation. It integrates well with other AWS services like CloudWatch and CloudFormation. AWS OpsWorks, on the other hand, follows an opinionated workflow and automates many common deployment tasks out-of-the-box, making it easier to get started but providing less flexibility for customization.

  5. Auto Scaling: AWS CodeDeploy provides built-in support for auto-scaling, allowing applications to scale based on predefined scaling policies. It integrates with AWS Auto Scaling to automatically adjust the capacity of instances during deployments. AWS OpsWorks also supports auto-scaling, but it uses AWS OpsWorks Stacks and Layer-based scaling instead.

  6. Pricing: Both AWS CodeDeploy and AWS OpsWorks have different pricing models. AWS CodeDeploy uses a pay-as-you-go pricing model based on the number of instances deployed to, while AWS OpsWorks has a more complex pricing structure that takes into account the number of instances, stack layers, and data transfer.

In summary, AWS CodeDeploy is a versatile deployment service that focuses on deploying applications to various compute instances, offering flexible deployment options and fine-grained control. AWS OpsWorks, on the other hand, is an infrastructure management service that automates common deployment tasks and is more focused on EC2 instance management and application deployment.

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Pros of AWS CodeDeploy
Pros of AWS OpsWorks
  • 17
    Automates code deployments
  • 9
    Backed by Amazon
  • 7
    Adds autoscaling lifecycle hooks
  • 5
    Git integration
  • 32
    Devops
  • 19
    Cloud management

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What are some alternatives to AWS CodeDeploy and AWS OpsWorks?
AWS CodePipeline
CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.
Jenkins
In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.
Docker
The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere
Ansible
Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.
Chef
Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.
See all alternatives