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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Infrastructure Build Tools
  5. AWS Cloud Development Kit vs Packer

AWS Cloud Development Kit vs Packer

OverviewComparisonAlternatives

Overview

Packer
Packer
Stacks573
Followers566
Votes41
AWS Cloud Development Kit
AWS Cloud Development Kit
Stacks205
Followers102
Votes0
GitHub Stars12.5K
Forks4.3K

AWS Cloud Development Kit vs Packer: What are the differences?

Introduction

In this article, we will compare the key differences between AWS Cloud Development Kit (CDK) and Packer. Both CDK and Packer are AWS services that are used for cloud development and deployment, but they have distinct features and use cases. Let's explore the differences between them.

  1. Programming Language: AWS CDK allows developers to provision cloud infrastructure using familiar programming languages such as JavaScript, TypeScript, Python, Java, and C#. On the other hand, Packer uses a declarative configuration format based on HashiCorp Configuration Language (HCL) or JSON.

  2. Provisioning: CDK focuses on infrastructure provisioning as code, allowing you to define and manage your infrastructure using code. It uses AWS CloudFormation under the hood to provision resources. Packer, on the other hand, focuses on creating machine images or “golden images” and does not directly handle infrastructure provisioning.

  3. Cross-Platform Compatibility: CDK provides cross-platform compatibility, allowing you to deploy your infrastructure across AWS, Azure, and Google Cloud Platform. It abstracts cloud provider-specific details, enabling you to write infrastructure code once and deploy it across multiple clouds. Packer, however, is primarily used for creating machine images for specific cloud platforms, such as Amazon Machine Images (AMIs) for AWS.

  4. Image Creation vs. Infrastructure Provisioning: Packer is primarily used for creating machine images with pre-configured software and dependencies. It automates the process of building standardized machine images across multiple platforms. In contrast, CDK focuses on infrastructure provisioning as code, allowing you to define and manage your infrastructure using code.

  5. Lifecycle Management: CDK offers built-in lifecycle management capabilities, which include creating, updating, and deleting infrastructure resources. It allows you to easily manage changes to your infrastructure code and apply them to your cloud environment. Packer does not provide built-in lifecycle management features as it is focused on image creation.

  6. Integration with Other AWS Services: CDK offers seamless integration with other AWS services and resources. It allows you to define infrastructure using high-level constructs provided by the AWS Construct Library, which abstracts the underlying AWS CloudFormation resources. Packer, on the other hand, is not specifically designed for integration with other AWS services but can be used in conjunction with other tools and services.

In summary, AWS CDK and Packer have different focuses and use cases. CDK is primarily used for infrastructure provisioning as code, providing cross-platform compatibility and integration with various AWS services. On the other hand, Packer is focused on creating machine images and does not handle infrastructure provisioning.

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Detailed Comparison

Packer
Packer
AWS Cloud Development Kit
AWS Cloud Development Kit

Packer automates the creation of any type of machine image. It embraces modern configuration management by encouraging you to use automated scripts to install and configure the software within your Packer-made images.

It is an open source software development framework to model and provision your cloud application resources using familiar programming languages. It uses the familiarity and expressive power of programming languages for modeling your applications. It provides you with high-level components that preconfigure cloud resources with proven defaults, so you can build cloud applications without needing to be an expert.

Super fast infrastructure deployment. Packer images allow you to launch completely provisioned and configured machines in seconds, rather than several minutes or hours.;Multi-provider portability. Because Packer creates identical images for multiple platforms, you can run production in AWS, staging/QA in a private cloud like OpenStack, and development in desktop virtualization solutions such as VMware or VirtualBox.;Improved stability. Packer installs and configures all the software for a machine at the time the image is built. If there are bugs in these scripts, they'll be caught early, rather than several minutes after a machine is launched.;Greater testability. After a machine image is built, that machine image can be quickly launched and smoke tested to verify that things appear to be working. If they are, you can be confident that any other machines launched from that image will function properly.
Easier cloud onboarding; Faster development process; Customizable and shareable; No context switching
Statistics
GitHub Stars
-
GitHub Stars
12.5K
GitHub Forks
-
GitHub Forks
4.3K
Stacks
573
Stacks
205
Followers
566
Followers
102
Votes
41
Votes
0
Pros & Cons
Pros
  • 27
    Cross platform builds
  • 8
    Vm creation automation
  • 4
    Bake in security
  • 1
    Good documentation
  • 1
    Easy to use
No community feedback yet
Integrations
Amazon EC2
Amazon EC2
DigitalOcean
DigitalOcean
Docker
Docker
Google Compute Engine
Google Compute Engine
OpenStack
OpenStack
VirtualBox
VirtualBox
C#
C#
JavaScript
JavaScript
Visual Studio Code
Visual Studio Code
Java
Java
Python
Python
TypeScript
TypeScript
.NET
.NET
AWS CloudFormation
AWS CloudFormation

What are some alternatives to Packer, AWS Cloud Development Kit?

AWS CloudFormation

AWS CloudFormation

You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work.

Scalr

Scalr

Scalr is a remote state & operations backend for Terraform with access controls, policy as code, and many quality of life features.

Pulumi

Pulumi

Pulumi is a cloud development platform that makes creating cloud programs easy and productive. Skip the YAML and just write code. Pulumi is multi-language, multi-cloud and fully extensible in both its engine and ecosystem of packages.

Azure Resource Manager

Azure Resource Manager

It is the deployment and management service for Azure. It provides a management layer that enables you to create, update, and delete resources in your Azure subscription. You use management features, like access control, locks, and tags, to secure and organize your resources after deployment.

Habitat

Habitat

Habitat is a new approach to automation that focuses on the application instead of the infrastructure it runs on. With Habitat, the apps you build, deploy, and manage behave consistently in any runtime — metal, VMs, containers, and PaaS. You'll spend less time on the environment and more time building features.

Google Cloud Deployment Manager

Google Cloud Deployment Manager

Google Cloud Deployment Manager allows you to specify all the resources needed for your application in a declarative format using yaml.

Yocto

Yocto

It is an open source collaboration project that helps developers create custom Linux-based systems regardless of the hardware architecture. It provides a flexible set of tools and a space where embedded developers worldwide can share technologies, software stacks, configurations, and best practices that can be used to create tailored Linux images for embedded and IOT devices, or anywhere a customized Linux OS is needed.

GeoEngineer

GeoEngineer

GeoEngineer uses Terraform to plan and execute changes, so the DSL to describe resources is similar to Terraform's. GeoEngineer's DSL also provides programming and object oriented features like inheritance, abstraction, branching and looping.

Atlas

Atlas

Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services.

Buildroot

Buildroot

It is a tool that simplifies and automates the process of building a complete Linux system for an embedded system, using cross-compilation.

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