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

AWS CodeCommit vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K
AWS CodeCommit
AWS CodeCommit
Stacks324
Followers826
Votes193

AWS CodeCommit vs Terraform: What are the differences?

Introduction

This Markdown code provides a comparison between AWS CodeCommit and Terraform, highlighting the key differences between the two.

  1. Repository Hosting Service: AWS CodeCommit is a fully-managed source control service that enables developers to securely host private Git repositories. It provides built-in integrations with other AWS services, such as AWS CodeBuild and AWS CodePipeline. On the other hand, Terraform is an infrastructure as code tool that allows the provisioning and management of infrastructure resources across various cloud providers. It uses a declarative language to define infrastructure configurations.

  2. Version Control System: CodeCommit uses the Git version control system, which is widely used and well-established in the software development community. Terraform, on the other hand, is not a version control system itself, but it can be used in conjunction with Git or other version control systems to manage infrastructure configurations as code.

  3. Scalability: CodeCommit is a fully-managed service provided by AWS, which means it can automatically scale to handle increasing storage and user demands. It can handle repositories of any size and supports large file storage. Terraform, on the other hand, does not have inherent scalability features, as it relies on external version control systems for managing infrastructure configurations. However, Terraform can be used to provision and manage highly scalable cloud resources.

  4. Compatibility: CodeCommit is specifically designed to work with other AWS services, providing seamless integration with the AWS ecosystem. It provides features like webhook triggers and integration with AWS Identity and Access Management (IAM). In contrast, Terraform is cloud provider-agnostic and can be used to manage infrastructure resources across multiple cloud platforms, including AWS, Azure, and Google Cloud Platform.

  5. Workflow Automation: CodeCommit integrates well with AWS CodePipeline, allowing for the automation of end-to-end software release pipelines. It provides features like pull request reviews, automatic branch merging, and easy collaboration between developers. Terraform, on the other hand, focuses on provisioning and managing infrastructure resources and does not have built-in workflow automation features. However, it can be combined with other DevOps tools to create a complete deployment workflow.

  6. Pricing Model: CodeCommit has a pay-as-you-go pricing model, where users are billed based on the number of active users and storage size for repositories. It provides a free tier for small projects. In contrast, Terraform is an open-source tool and does not have any direct costs associated with its usage. However, users still need to consider the costs of the underlying cloud resources provisioned by Terraform.

In summary, AWS CodeCommit is a managed source control service designed for secure hosting of Git repositories and seamless integration with the AWS ecosystem, while Terraform is an infrastructure as code tool that is cloud provider-agnostic and allows for the provisioning and management of infrastructure resources across multiple cloud platforms.

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Advice on Terraform, AWS CodeCommit

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
AWS CodeCommit
AWS CodeCommit

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.

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.

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
Collaboration;Encryption;Access Control;High Availability and Durability;Unlimited Repositories;Easy Access and Integration
Statistics
GitHub Stars
47.0K
GitHub Stars
-
GitHub Forks
10.1K
GitHub Forks
-
Stacks
22.9K
Stacks
324
Followers
14.7K
Followers
826
Votes
344
Votes
193
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
  • 44
    Free private repos
  • 26
    IAM integration
  • 24
    Pay-As-You-Go Pricing
  • 20
    Amazon feels the most Secure
  • 19
    Repo data encrypted at rest
Cons
  • 12
    UI sucks
  • 4
    SLOW
  • 3
    No Issue Tracker
  • 2
    NO LFS support
  • 2
    No webhooks
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
Git
Git
Jenkins
Jenkins

What are some alternatives to Terraform, AWS CodeCommit?

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.

GitLab

GitLab

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.

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

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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