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Beanstalk vs Terraform: What are the differences?

Beanstalk: Private code hosting for teams. A single process to commit code, review with the team, and deploy the final result to your customers; Terraform: 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.

Beanstalk can be classified as a tool in the "Code Collaboration & Version Control" category, while Terraform is grouped under "Infrastructure Build Tools".

Some of the features offered by Beanstalk are:

  • Setup and manage repositories- Import or create Subversion and Git repositories that are instantly available to your team.
  • Invite team members, partners & clients- Restrict access to certain repos and provide read-only or full read/write permissions.
  • Browse files and changes- Every version of every file you鈥檝e committed to Beanstalk is just a click away. See a timeline of who made changes and view the differences between revisions. Syntax highlighting for over 70 languages.

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

  • 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.

"Ftp deploy" is the primary reason why developers consider Beanstalk over the competitors, whereas "Infrastructure as code" was stated as the key factor in picking Terraform.

Terraform is an open source tool with 17.7K GitHub stars and 4.83K 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 Beanstalk is used by Accenture, Docplanner, and UNION. Terraform has a broader approval, being mentioned in 509 company stacks & 312 developers stacks; compared to Beanstalk, which is listed in 21 company stacks and 8 developer stacks.

- No public GitHub repository available -

What is Beanstalk?

A single process to commit code, review with the team, and deploy the final result to your customers.

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.
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Why do developers choose Beanstalk?
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      What are some alternatives to Beanstalk and Terraform?
      AWS Elastic Beanstalk
      Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
      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 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 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.
      GitHub Enterprise
      GitHub Enterprise lets developers use the tools they love across the development process with support for popular IDEs, continuous integration tools, and hundreds of third party apps and services.
      See all alternatives
      Decisions about Beanstalk and Terraform
      John Kodumal
      John Kodumal
      CTO at LaunchDarkly | 3 upvotes 35.8K 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 30.4K 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

      See more
      Pedro Arnal Puente
      Pedro Arnal Puente
      CTO at La Cupula Music SL | 7 upvotes 48.3K 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
      GitHub
      GitHub
      Google Compute Engine
      Google Compute Engine
      Google Cloud Storage
      Google Cloud Storage
      Google BigQuery
      Google BigQuery
      Google Cloud Bigtable
      Google Cloud Bigtable
      Google Cloud Run
      Google Cloud Run
      Google Cloud Build
      Google Cloud Build
      Google Cloud Deployment Manager
      Google Cloud Deployment Manager
      Python
      Python
      Terraform
      Terraform
      Google Cloud IoT Core
      Google Cloud IoT Core

      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

      See more
      Interest over time
      Reviews of Beanstalk and Terraform
      No reviews found
      How developers use Beanstalk and Terraform
      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.

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