Gradle vs Packer
Overview
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CLI (Node.js)
Manual
Detailed Comparison
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. | Gradle is a build tool with a focus on build automation and support for multi-language development. If you are building, testing, publishing, and deploying software on any platform, Gradle offers a flexible model that can support the entire development lifecycle from compiling and packaging code to publishing web sites. |
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. | Declarative builds and build-by-convention;Language for dependency based programming;Structure your build;Deep API;Gradle scales;Multi-project builds;Many ways to manage your dependencies;Gradle is the first build integration tool |
Statistics | |
GitHub Stars - | GitHub Stars 18.1K |
GitHub Forks - | GitHub Forks 5.0K |
Stacks 573 | Stacks 24.3K |
Followers 566 | Followers 9.8K |
Votes 41 | Votes 254 |
Pros & Cons | |
Pros
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Integrations | |
| No integrations available | |
What are some alternatives to Packer, Gradle?
Apache Maven
Maven allows a project to build using its project object model (POM) and a set of plugins that are shared by all projects using Maven, providing a uniform build system. Once you familiarize yourself with how one Maven project builds you automatically know how all Maven projects build saving you immense amounts of time when trying to navigate many projects.
Bazel
Bazel is a build tool that builds code quickly and reliably. It is used to build the majority of Google's software, and thus it has been designed to handle build problems present in Google's development environment.
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.
Pants
Pants is a build system for Java, Scala and Python. It works particularly well for a source code repository that contains many distinct projects.
Scalr
Scalr is a remote state & operations backend for Terraform with access controls, policy as code, and many quality of life features.
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.
JitPack
JitPack is an easy to use package repository for Gradle/Sbt and Maven projects. We build GitHub projects on demand and provides ready-to-use packages.
SBT
It is similar to Java's Maven and Ant. Its main features are: Native support for compiling Scala code and integrating with many Scala test frameworks.
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.
Buck
Buck encourages the creation of small, reusable modules consisting of code and resources, and supports a variety of languages on many platforms.
