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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Server Configuration And Automation
  5. Rancher vs Terraform

Rancher vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K
Rancher
Rancher
Stacks952
Followers1.5K
Votes644

Rancher vs Terraform: What are the differences?

Rancher vs Terraform: Key Differences

Rancher and Terraform are both popular tools used in the field of DevOps and infrastructure management. While they serve similar purposes, there are some key differences between them. Let's explore these differences in detail:

  1. Resource Provisioning Approach: One of the primary differences between Rancher and Terraform lies in their resource provisioning approaches. Rancher is a container management platform that focuses on managing and orchestrating containers using a user-friendly interface. On the other hand, Terraform is an infrastructure-as-code tool that allows you to define and provision infrastructure resources across multiple cloud providers and technologies through declarative configuration files.

  2. Scope of Management: Rancher operates at a higher level of abstraction, managing containers and containerized applications within a cluster environment. It simplifies the deployment, scaling, and management of containers across different cloud platforms. In contrast, Terraform provides a broader scope, allowing you to manage various cloud resources like virtual machines, networks, storage, and more, not limited to just containers.

  3. Multi-Cloud Support: Rancher is designed to work with multiple Kubernetes clusters and supports various cloud providers, making it suitable for multi-cloud and hybrid cloud environments. It abstracts away the underlying infrastructure details, making it easy to switch between cloud providers. Conversely, Terraform excels in its ability to provision and manage resources across different cloud platforms, allowing you to build infrastructure that spans across various cloud providers.

  4. Dependency Tracking and Resource Relationships: Terraform provides built-in support for dependency tracking, which allows you to define and manage the relationships between different resources. This ensures that resources are created or destroyed in the correct order based on their dependencies. Rancher, on the other hand, focuses more on managing containers and orchestrating their deployment rather than tracking dependencies between resources.

  5. Workflow Automation: Terraform provides powerful automation capabilities, allowing you to define and execute complex workflows for resource provisioning and management. It supports features like plan and apply, allowing you to preview changes before they are applied and manage infrastructure updates gracefully. Rancher, while providing some automation features, primarily focuses on container orchestration and clustering rather than extensive workflow automation.

  6. Community and Ecosystem: Terraform has a large and active community, with a wide range of community-built modules and integrations available. It benefits from its popularity and has a well-established ecosystem with extensive documentation and support. Rancher also has an active community, but its focus on container management means it has a more niche ecosystem compared to Terraform.

In summary, Rancher is a container management platform that simplifies the deployment and management of containers, primarily within a cluster environment, while Terraform is a versatile infrastructure-as-code tool that enables the provisioning and management of various cloud resources across multiple cloud providers.

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Advice on Terraform, Rancher

Sung Won
Sung Won

Nov 4, 2019

DecidedonGoogle Cloud IoT CoreGoogle Cloud IoT CoreTerraformTerraformPythonPython

Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

Check Out My Architecture: CLICK ME

Check out the GitHub repo attached

2.25M views2.25M
Comments
Timothy
Timothy

SRE

Mar 20, 2020

Decided

I personally am not a huge fan of vendor lock in for multiple reasons:

  • I've seen cost saving moves to the cloud end up costing a fortune and trapping companies due to over utilization of cloud specific features.
  • I've seen S3 failures nearly take down half the internet.
  • I've seen companies get stuck in the cloud because they aren't built cloud agnostic.

I choose to use terraform for my cloud provisioning for these reasons:

  • It's cloud agnostic so I can use it no matter where I am.
  • It isn't difficult to use and uses a relatively easy to read language.
  • It tests infrastructure before running it, and enables me to see and keep changes up to date.
  • It runs from the same CLI I do most of my CM work from.
385k views385k
Comments
Daniel
Daniel

May 4, 2020

Decided

Because Pulumi uses real programming languages, you can actually write abstractions for your infrastructure code, which is incredibly empowering. You still 'describe' your desired state, but by having a programming language at your fingers, you can factor out patterns, and package it up for easier consumption.

426k views426k
Comments

Detailed Comparison

Terraform
Terraform
Rancher
Rancher

With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.

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.

Infrastructure as Code: Infrastructure is described using a high-level configuration syntax. This allows a blueprint of your datacenter to be versioned and treated as you would any other code. Additionally, infrastructure can be shared and re-used.;Execution Plans: Terraform has a "planning" step where it generates an execution plan. The execution plan shows what Terraform will do when you call apply. This lets you avoid any surprises when Terraform manipulates infrastructure.;Resource Graph: Terraform builds a graph of all your resources, and parallelizes the creation and modification of any non-dependent resources. Because of this, Terraform builds infrastructure as efficiently as possible, and operators get insight into dependencies in their infrastructure.;Change Automation: Complex changesets can be applied to your infrastructure with minimal human interaction. With the previously mentioned execution plan and resource graph, you know exactly what Terraform will change and in what order, avoiding many possible human errors
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
GitHub Stars
47.0K
GitHub Stars
-
GitHub Forks
10.1K
GitHub Forks
-
Stacks
22.9K
Stacks
952
Followers
14.7K
Followers
1.5K
Votes
344
Votes
644
Pros & Cons
Pros
  • 121
    Infrastructure as code
  • 73
    Declarative syntax
  • 45
    Planning
  • 28
    Simple
  • 24
    Parallelism
Cons
  • 1
    Doesn't have full support to GKE
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
Heroku
Heroku
Amazon EC2
Amazon EC2
CloudFlare
CloudFlare
DNSimple
DNSimple
Microsoft Azure
Microsoft Azure
Consul
Consul
Equinix Metal
Equinix Metal
DigitalOcean
DigitalOcean
OpenStack
OpenStack
Google Compute Engine
Google Compute Engine
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 Terraform, Rancher?

Ansible

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.

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.

Chef

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.

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.

Capistrano

Capistrano

Capistrano is a remote server automation tool. It supports the scripting and execution of arbitrary tasks, and includes a set of sane-default deployment workflows.

Puppet Labs

Puppet Labs

Puppet is an automated administrative engine for your Linux, Unix, and Windows systems and performs administrative tasks (such as adding users, installing packages, and updating server configurations) based on a centralized specification.

Salt

Salt

Salt is a new approach to infrastructure management. Easy enough to get running in minutes, scalable enough to manage tens of thousands of servers, and fast enough to communicate with them in seconds. Salt delivers a dynamic communication bus for infrastructures that can be used for orchestration, remote execution, configuration management and much more.

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.

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