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Terraform
Terraform

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Terraform vs Yocto: What are the differences?

Developers describe Terraform as "Describe your complete infrastructure as code and build resources across providers". 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. On the other hand, Yocto is detailed as "An open Source embedded Linux build system". It is an open source collaboration project that helps developers create custom Linux-based systems regardless of the hardware architecture. It provides a flexible set of tools and a space where embedded developers worldwide can share technologies, software stacks, configurations, and best practices that can be used to create tailored Linux images for embedded and IOT devices, or anywhere a customized Linux OS is needed.

Terraform and Yocto can be categorized as "Infrastructure Build" tools.

Some of the features offered by Terraform are:

  • 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.

On the other hand, Yocto provides the following key features:

  • Open source embedded Linux build system
  • package metadata
  • SDK generator

Terraform is an open source tool with 18.2K GitHub stars and 4.92K GitHub forks. Here's a link to Terraform's open source repository on GitHub.

Uber Technologies, Instacart, and Slack are some of the popular companies that use Terraform, whereas Yocto is used by Dronesmith Technologies, Koolicar, and Ubidreams. Terraform has a broader approval, being mentioned in 667 company stacks & 1273 developers stacks; compared to Yocto, which is listed in 6 company stacks and 4 developer stacks.

- No public GitHub repository available -

What is Terraform?

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.

What is Yocto?

It is an open source collaboration project that helps developers create custom Linux-based systems regardless of the hardware architecture. It provides a flexible set of tools and a space where embedded developers worldwide can share technologies, software stacks, configurations, and best practices that can be used to create tailored Linux images for embedded and IOT devices, or anywhere a customized Linux OS is needed.
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        Jobs that mention Terraform and Yocto as a desired skillset
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        San Francisco, CA; Palo Alto, CA
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        San Francisco, CA; Palo Alto, CA
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        San Francisco, CA; Palo Alto, CA
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        San Francisco, CA; Palo Alto, CA
        What companies use Terraform?
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        What are some alternatives to Terraform and Yocto?
        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鈥檚 goals are foremost those of simplicity and maximum ease of use.
        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.
        Packer
        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.
        Cloud Foundry
        Cloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications.
        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.
        See all alternatives
        Decisions about Terraform and Yocto
        John Kodumal
        John Kodumal
        CTO at LaunchDarkly | 3 upvotes 27.8K views
        atLaunchDarklyLaunchDarkly
        Armory
        Armory
        Packer
        Packer
        Terraform
        Terraform
        Spinnaker
        Spinnaker
        Ansible
        Ansible

        LaunchDarkly is almost a five year old company, and our methodology for deploying was state of the art... for 2014. We recently undertook a project to modernize the way we #deploy our software, moving from Ansible-based deploy scripts that executed on our local machines, to using Spinnaker (along with Terraform and Packer) as the basis of our deployment system. We've been using Armory's enterprise Spinnaker offering to make this project a reality.

        See more
        Joseph Kunzler
        Joseph Kunzler
        DevOps Engineer at Tillable | 9 upvotes 23.7K views
        atTillableTillable
        AWS CloudFormation
        AWS CloudFormation
        AWS Elastic Load Balancing (ELB)
        AWS Elastic Load Balancing (ELB)
        Amazon EC2
        Amazon EC2
        Amazon S3
        Amazon S3
        Terraform
        Terraform

        We use Terraform because we needed a way to automate the process of building and deploying feature branches. We wanted to hide the complexity such that when a dev creates a PR, it triggers a build and deployment without the dev having to worry about any of the 'plumbing' going on behind the scenes. Terraform allows us to automate the process of provisioning DNS records, Amazon S3 buckets, Amazon EC2 instances and AWS Elastic Load Balancing (ELB)'s. It also makes it easy to tear it all down when finished. We also like that it supports multiple clouds, which is why we chose to use it over AWS CloudFormation.

        See more
        AWS CloudFormation
        AWS CloudFormation
        Google Cloud Deployment Manager
        Google Cloud Deployment Manager
        Terraform
        Terraform

        I use Terraform because it hits the level of abstraction pocket of being high-level and flexible, and is agnostic to cloud platforms. Creating complex infrastructure components for a solution with a UI console is tedious to repeat. Using low-level APIs are usually specific to cloud platforms, and you still have to build your own tooling for deploying, state management, and destroying infrastructure.

        However, Terraform is usually slower to implement new services compared to cloud-specific APIs. It's worth the trade-off though, especially if you're multi-cloud. I heard someone say, "We want to preference a cloud, not lock in to one." Terraform builds on that claim.

        Terraform Google Cloud Deployment Manager AWS CloudFormation

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        Pedro Arnal Puente
        Pedro Arnal Puente
        CTO at La Cupula Music SL | 7 upvotes 29.6K views
        atLa Cupula Music SLLa Cupula Music SL
        Ansible
        Ansible
        Packer
        Packer
        Terraform
        Terraform
        Amazon ElastiCache
        Amazon ElastiCache
        Redis
        Redis
        Amazon RDS for Aurora
        Amazon RDS for Aurora
        Amazon S3
        Amazon S3
        Amazon EC2
        Amazon EC2
        Debian
        Debian

        Our base infrastructure is composed of Debian based servers running in Amazon EC2 , asset storage with Amazon S3 , and Amazon RDS for Aurora and Redis under Amazon ElastiCache for data storage.

        We are starting to work in automated provisioning and management with Terraform , Packer , and Ansible .

        See more
        Interest over time
        Reviews of Terraform and Yocto
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        How developers use Terraform and Yocto
        Avatar of Royal Icing
        Royal Icing uses TerraformTerraform

        Terraform makes it so easy to deploy AWS and Google Cloud services, with the declarative approach avoiding so many headaches of manual work and possible mistakes.

        Avatar of B霉i Thanh
        B霉i Thanh uses TerraformTerraform
        • Infrastructure as Code.
        • Central tool to deploy all infratructure: AWS, CloudFlare, StatusCake
        Avatar of Prime Technologies
        Prime Technologies uses TerraformTerraform

        The entire AWS environments is described and setup using Terraform.

        Avatar of Binded
        Binded uses TerraformTerraform

        All of our infrastructure is stored as code thanks to Terraform.

        Avatar of Razorpay
        Razorpay uses TerraformTerraform

        We orchestrate our AWS infrastructure using Terraform.

        Avatar of acerits
        acerits uses YoctoYocto

        optimized iot operating system

        How much does Terraform cost?
        How much does Yocto cost?
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