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  1. Stackups
  2. DevOps
  3. Code Collaboration
  4. Code Collaboration Version Control
  5. GitLab vs Terraform

GitLab vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

GitLab
GitLab
Stacks63.4K
Followers54.5K
Votes2.5K
GitHub Stars0
Forks0
Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K

GitLab vs Terraform: What are the differences?

Introduction

GitLab and Terraform are two popular tools used in the software development process. While both serve different purposes, they are essential in managing and deploying applications. In this article, we will explore the key differences between GitLab and Terraform.

  1. Integration with Version Control System: GitLab is primarily a Git repository management tool that allows users to host and manage their source code repositories. It provides a centralized platform for collaboration, version control, and continuous integration/continuous deployment (CI/CD) pipelines. On the other hand, Terraform is an infrastructure as code tool that allows users to define and provision infrastructure resources across various cloud providers. While GitLab integrates with Git and enables version control for code assets, Terraform focuses on managing infrastructure resources.

  2. Scope of Management: GitLab covers the complete lifecycle of software development, including version control management, issue tracking, continuous integration, and continuous deployment. It provides a comprehensive platform for developers to collaborate and manage the entire software development process. On the contrary, Terraform focuses solely on infrastructure as code. It enables users to define infrastructure resources in a declarative language and manage their provisioning and configuration. Terraform does not provide features for code version control or CI/CD pipelines.

  3. Workflow: GitLab follows a collaborative workflow where developers can create branches, manage and review code changes, and merge them into the main codebase. It provides features like merge request and code review to ensure code quality and collaboration among team members. Terraform, on the other hand, follows an infrastructure provisioning workflow. Users define the desired state of infrastructure resources in a Terraform configuration file, and Terraform applies the changes to create, modify, or delete resources accordingly.

  4. Platform Support: GitLab is a web-based application that can be accessed using a web browser from any operating system. It supports Git repositories and can integrate with various cloud providers, enabling deployment to different environments. Terraform, being an infrastructure as code tool, has broader platform support. It can be used on multiple operating systems, including Windows, macOS, and various Linux distributions. Additionally, Terraform supports multiple cloud providers, making it more versatile for managing infrastructure resources.

  5. Level of Abstraction: GitLab operates at a higher level of abstraction, focusing on code management, collaboration, and CI/CD pipelines. It provides a user-friendly interface, project management features, and extensive integration options. On the other hand, Terraform operates at a lower level of abstraction, dealing with the provisioning and configuration of infrastructure resources. It requires users to define infrastructure configurations using a domain-specific language (HCL) or JSON. Terraform provides flexibility and fine-grained control over infrastructure resources.

  6. Extensibility and Customization: GitLab offers a wide range of integrations and extensions that can be used to customize the platform and enhance its functionality. It has an extensive marketplace of plugins and integrations to integrate with other tools and services. Terraform, on the other hand, provides a modular approach to infrastructure management. Users can leverage community-maintained or custom-built modules to extend Terraform's capabilities and manage complex infrastructure setups more efficiently.

In summary, GitLab is a comprehensive platform for code management, collaboration, and CI/CD pipelines, whereas Terraform is an infrastructure as code tool focused on managing infrastructure resources using a declarative approach. GitLab covers the complete software development lifecycle, while Terraform focuses solely on infrastructure provisioning and configuration.

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Advice on GitLab, Terraform

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
Anonymous
Anonymous

May 25, 2020

Decided

Gitlab as A LOT of features that GitHub and Azure DevOps are missing. Even if both GH and Azure are backed by Microsoft, GitLab being open source has a faster upgrade rate and the hosted by gitlab.com solution seems more appealing than anything else! Quick win: the UI is way better and the Pipeline is way easier to setup on GitLab!

624k views624k
Comments
Weverton
Weverton

CTO at SourceLevel

Jul 28, 2020

Review

Using an inclusive language is crucial for fostering a diverse culture. Git has changed the naming conventions to be more language-inclusive, and so you should change. Our development tools, like GitHub and GitLab, already supports the change.

SourceLevel deals very nicely with repositories that changed the master branch to a more appropriate word. Besides, you can use the grep linter the look for exclusive terms contained in the source code.

As the inclusive language gap may happen in other aspects of our lives, have you already thought about them?

944k views944k
Comments

Detailed Comparison

GitLab
GitLab
Terraform
Terraform

GitLab offers git repository management, code reviews, issue tracking, activity feeds and wikis. Enterprises install GitLab on-premise and connect it with LDAP and Active Directory servers for secure authentication and authorization. A single GitLab server can handle more than 25,000 users but it is also possible to create a high availability setup with multiple active servers.

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.

Manage git repositories with fine grained access controls that keep your code secure;Perform code reviews and enhance collaboration with merge requests;Each project can also have an issue tracker and a wiki;Used by more than 100,000 organizations, GitLab is the most popular solution to manage git repositories on-premises;Completely free and open source (MIT Expat license);Powered by Ruby on Rails
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
Statistics
GitHub Stars
0
GitHub Stars
47.0K
GitHub Forks
0
GitHub Forks
10.1K
Stacks
63.4K
Stacks
22.9K
Followers
54.5K
Followers
14.7K
Votes
2.5K
Votes
344
Pros & Cons
Pros
  • 508
    Self hosted
  • 431
    Free
  • 339
    Has community edition
  • 242
    Easy setup
  • 240
    Familiar interface
Cons
  • 28
    Slow ui performance
  • 9
    Introduce breaking bugs every release
  • 6
    Insecure (no published IP list for whitelisting)
  • 2
    Built-in Docker Registry
  • 1
    Review Apps feature
Pros
  • 121
    Infrastructure as code
  • 73
    Declarative syntax
  • 45
    Planning
  • 28
    Simple
  • 24
    Parallelism
Cons
  • 1
    Doesn't have full support to GKE
Integrations
No integrations available
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

What are some alternatives to GitLab, Terraform?

GitHub

GitHub

GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.

Bitbucket

Bitbucket

Bitbucket gives teams one place to plan projects, collaborate on code, test and deploy, all with free private Git repositories. Teams choose Bitbucket because it has a superior Jira integration, built-in CI/CD, & is free for up to 5 users.

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.

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.

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.

RhodeCode

RhodeCode

RhodeCode provides centralized control over distributed code repositories. Developers get code review tools and custom APIs that work in Mercurial, Git & SVN. Firms get unified security and user control so that their CTOs can sleep at night

AWS CodeCommit

AWS CodeCommit

CodeCommit eliminates the need to operate your own source control system or worry about scaling its infrastructure. You can use CodeCommit to securely store anything from source code to binaries, and it works seamlessly with your existing Git tools.

Gogs

Gogs

The goal of this project is to make the easiest, fastest and most painless way to set up a self-hosted Git service. With Go, this can be done in independent binary distribution across ALL platforms that Go supports, including Linux, Mac OS X, and Windows.

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.

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