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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Infrastructure Build Tools
  5. Packer vs Rancher

Packer vs Rancher

OverviewComparisonAlternatives

Overview

Packer
Packer
Stacks573
Followers566
Votes41
Rancher
Rancher
Stacks952
Followers1.5K
Votes644

Packer vs Rancher: What are the differences?

# Introduction
Packer and Rancher are both tools used in the field of DevOps for infrastructure provisioning and management, but they have key differences that set them apart.

# 1. **Functionality**:
Packer is a tool used for creating identical machine images for multiple platforms from a single source configuration. It is primarily used for building machine images. On the other hand, Rancher is a complete infrastructure management platform that supports multiple orchestration engines such as Kubernetes and Docker Swarm, enabling the management of containerized workloads across various environments.

# 2. **Focus**:
Packer focuses on building machine images or container images by automating the image creation process. It is more oriented towards the initial setup and configuration of infrastructure. Rancher, however, focuses on the ongoing management, orchestration, and monitoring of containers and clusters in production environments.

# 3. **Integration**:
Packer integrates well with various build tools, configuration management tools, and cloud providers to automate the image creation process. It also has plugins for different providers and provisioners. On the other hand, Rancher integrates with various container orchestration tools, monitoring tools, and cloud providers to manage containerized workloads effectively.

# 4. **Deployment Scope**:
Packer is more geared towards managing the deployment process at the image level, ensuring consistency across different environments. It is ideal for building images that can be replicated across multiple platforms. Rancher, on the other hand, is more focused on managing the deployment of containerized applications at the container level, providing tools for orchestration, scaling, and monitoring.

# 5. **Community Support**:
Packer has a strong community base and active development, with regular updates and contributions from the community. It is widely used in the industry for creating machine images. Rancher also has a growing community, but it is more specific to container orchestration and management, with a focus on Kubernetes and container-related technologies.

Summary, Packer is a tool primarily used for building machine images, while Rancher is an infrastructure management platform specializing in container orchestration and management.

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Detailed Comparison

Packer
Packer
Rancher
Rancher

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.

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

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.
Manage Hosts, Deploy Containers, Monitor Resources;User Management & Collaboration;Native Docker APIs & Tools;Monitoring and Logging;Connect Containers, Manage Disks, Deploy Load Balancers;Docker App Catalog; Included Kubernetes Distribution;Included Docker Swarm Distribution; Included Mesos Distribution;Infrastructure Management
Statistics
Stacks
573
Stacks
952
Followers
566
Followers
1.5K
Votes
41
Votes
644
Pros & Cons
Pros
  • 27
    Cross platform builds
  • 8
    Vm creation automation
  • 4
    Bake in security
  • 1
    Easy to use
  • 1
    Good documentation
Pros
  • 103
    Easy to use
  • 79
    Open source and totally free
  • 63
    Multi-host docker-compose support
  • 58
    Load balancing and health check included
  • 58
    Simple
Cons
  • 10
    Hosting Rancher can be complicated
Integrations
Amazon EC2
Amazon EC2
DigitalOcean
DigitalOcean
Docker
Docker
Google Compute Engine
Google Compute Engine
OpenStack
OpenStack
VirtualBox
VirtualBox
Jenkins
Jenkins
Datadog
Datadog
Google Compute Engine
Google Compute Engine
Docker Compose
Docker Compose
Amazon EC2
Amazon EC2
DigitalOcean
DigitalOcean
GitHub
GitHub
Docker
Docker
Kubernetes
Kubernetes
Drone.io
Drone.io

What are some alternatives to Packer, Rancher?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

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.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

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.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

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