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

AWS CLI vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K
AWS CLI
AWS CLI
Stacks145
Followers111
Votes0
GitHub Stars16.5K
Forks4.4K

AWS CLI vs Terraform: What are the differences?

Key Differences between AWS CLI and Terraform

AWS CLI and Terraform are two popular tools used in the realm of cloud computing. While both tools serve as command-line interfaces for managing cloud resources, there are several key differences between them.

  1. Language and Approach: AWS CLI is written in Python and provides a simple command-line interface to interact with AWS services. On the other hand, Terraform is a declarative language that uses HashiCorp Configuration Language (HCL) to define and provision infrastructure resources. The difference in language and approach gives Terraform the ability to manage resources across different cloud providers.

  2. Resource Provisioning: AWS CLI mainly focuses on provisioning AWS resources. It allows users to create, modify, and delete resources using specific commands and parameters. In contrast, Terraform provides a more powerful and holistic approach to provisioning resources. It uses configuration files to define infrastructure as code, enabling users to manage resources across multiple cloud providers, including AWS.

  3. State Management: AWS CLI does not explicitly manage state, requiring manual tracking of resource configurations and changes. When a resource is provisioned or modified, the developer needs to track and maintain the state manually. Terraform, on the other hand, maintains a state file that keeps track of the resources it provisions. This state file allows Terraform to plan, update, and destroy resources more efficiently.

  4. Infrastructure as Code: While AWS CLI allows users to create scripts, it is primarily focused on managing resources individually. Terraform, with its infrastructure as code approach, enables users to treat their infrastructure as a whole. By defining and versioning infrastructure configurations, Terraform allows for repeatable and consistent deployments, as well as collaborative development of infrastructure code.

  5. Ease of Use: AWS CLI provides a straightforward command-line interface that requires users to memorize specific commands and parameters for managing resources. Terraform, on the other hand, requires users to learn the HCL syntax and follow the Terraform workflow for managing infrastructure. The learning curve for Terraform can be steeper initially but provides a more powerful and scalable solution for managing complex infrastructure.

  6. Community Support and Ecosystem: AWS CLI benefits from being an Amazon Web Services product, with a large community and extensive documentation. It is widely adopted and has a vast ecosystem of plugins and tools. Terraform, although not specific to AWS, also has a vibrant community with support for multiple cloud providers. It offers numerous community-contributed modules and a rich ecosystem that allows users to share and reuse infrastructure code.

In summary, AWS CLI and Terraform differ in their programming languages, resource provisioning approaches, state management capabilities, infrastructure as code philosophies, ease of use, and community support. Terraform's focus on infrastructure as code and its ability to manage resources across different cloud providers sets it apart as a more flexible and scalable option for managing complex infrastructures.

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Advice on Terraform, AWS CLI

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 CLI
AWS CLI

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.

It is a unified tool to manage your AWS services. With just one tool to download and configure, you can control multiple AWS services from the command line and automate them through scripts.

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
File Commands for Amazon S3; Control multiple AWS services ; URI-based Parameter Input
Statistics
GitHub Stars
47.0K
GitHub Stars
16.5K
GitHub Forks
10.1K
GitHub Forks
4.4K
Stacks
22.9K
Stacks
145
Followers
14.7K
Followers
111
Votes
344
Votes
0
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
No community feedback yet
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
Linux
Linux
Windows
Windows
macOS
macOS
AWS Shell
AWS Shell

What are some alternatives to Terraform, AWS CLI?

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.

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.

Fabric

Fabric

Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution.

AWS OpsWorks

AWS OpsWorks

Start from templates for common technologies like Ruby, Node.JS, PHP, and Java, or build your own using Chef recipes to install software packages and perform any task that you can script. AWS OpsWorks can scale your application using automatic load-based or time-based scaling and maintain the health of your application by detecting failed instances and replacing them. You have full control of deployments and automation of each component

LocalStack

LocalStack

LocalStack provides an easy-to-use test/mocking framework for developing Cloud applications.

AWS Amplify

AWS Amplify

A JavaScript library for frontend and mobile developers building cloud-enabled applications. The library is a declarative interface across different categories of operations in order to make common tasks easier to add into your application. The default implementation works with Amazon Web Services (AWS) resources but is designed to be open and pluggable for usage with other cloud services that wish to provide an implementation or custom backends.

cPanel

cPanel

It is an industry leading hosting platform with world-class support. It is globally empowering hosting providers through fully-automated point-and-click hosting platform by hosting-centric professionals

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