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

Bamboo vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K
Bamboo
Bamboo
Stacks504
Followers549
Votes17

Bamboo vs Terraform: What are the differences?

Key Differences Between Bamboo and Terraform

Bamboo and Terraform are both popular tools used in the software development industry, yet they have key differences that make them suitable for different purposes. Here are the main differences between Bamboo and Terraform:

  1. Deployment and Infrastructure Management: Bamboo is primarily a continuous integration and deployment tool, whereas Terraform is an infrastructure provisioning and management tool. Bamboo focuses on automating the build and deployment process, while Terraform focuses on creating and managing infrastructure resources.

  2. Programming Language: Bamboo uses a visual interface and configuration files written in YAML or XML to define build and deployment pipelines. Terraform, on the other hand, uses a declarative language called HashiCorp Configuration Language (HCL) to define infrastructure as code. HCL allows for more flexibility and expressiveness when defining resources.

  3. Cloud Provider Support: Bamboo is a tool developed by Atlassian and is primarily designed for deployment to Atlassian's own cloud platform. While Bamboo does have some support for other cloud providers, it is mainly focused on the Atlassian ecosystem. Terraform, on the other hand, has broad support for various cloud providers, including AWS, Azure, Google Cloud, and more.

  4. Resource Orchestration: Bamboo focuses on the deployment process and orchestrating the different stages of the software development lifecycle. It provides features like release management, builds, and deployments. Terraform, on the other hand, focuses on orchestrating the creation and management of infrastructure resources such as virtual machines, networks, and storage.

  5. Version Control Integration: Bamboo is tightly integrated with Atlassian's version control system, Bitbucket, and offers seamless integration for source code management. It provides features like branch management, pull requests, and code reviews. Terraform, on the other hand, is agnostic to any specific version control system and can be used with any repository or version control system of choice.

  6. Plugin Ecosystem: Bamboo offers a wide range of built-in integrations and plugins to extend its functionality and integrate with other tools. It has integrations with various third-party services for notifications, test reporting, and code quality analysis. Terraform also has a plugin ecosystem, but its plugins focus on extending its capabilities for interacting with different cloud providers and managing different resources.

In summary, Bamboo is primarily focused on continuous integration and deployment, with strong integration with Atlassian's ecosystem, while Terraform is a tool for infrastructure provisioning and management, providing broad cloud provider support and a rich plugin ecosystem for managing different resources.

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Advice on Terraform, Bamboo

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
Bamboo
Bamboo

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.

Focus on coding and count on Bamboo as your CI and build server! Create multi-stage build plans, set up triggers to start builds upon commits, and assign agents to your critical builds and deployments.

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
47.0K
GitHub Stars
-
GitHub Forks
10.1K
GitHub Forks
-
Stacks
22.9K
Stacks
504
Followers
14.7K
Followers
549
Votes
344
Votes
17
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
  • 10
    Integrates with other Atlassian tools
  • 4
    Great notification scheme
  • 2
    Great UI
  • 1
    Has Deployment Projects
Cons
  • 6
    Expensive
  • 1
    Bad integration with docker
  • 1
    Bad UI
  • 1
    Low community support
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
Confluence
Confluence
Jira
Jira
Bitbucket
Bitbucket
HipChat
HipChat

What are some alternatives to Terraform, Bamboo?

Jenkins

Jenkins

In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.

Travis CI

Travis CI

Free for open source projects, our CI environment provides multiple runtimes (e.g. Node.js or PHP versions), data stores and so on. Because of this, hosting your project on travis-ci.com means you can effortlessly test your library or applications against multiple runtimes and data stores without even having all of them installed locally.

Codeship

Codeship

Codeship runs your automated tests and configured deployment when you push to your repository. It takes care of managing and scaling the infrastructure so that you are able to test and release more frequently and get faster feedback for building the product your users need.

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.

CircleCI

CircleCI

Continuous integration and delivery platform helps software teams rapidly release code with confidence by automating the build, test, and deploy process. Offers a modern software development platform that lets teams ramp.

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.

TeamCity

TeamCity

TeamCity is a user-friendly continuous integration (CI) server for professional developers, build engineers, and DevOps. It is trivial to setup and absolutely free for small teams and open source projects.

Drone.io

Drone.io

Drone is a hosted continuous integration service. It enables you to conveniently set up projects to automatically build, test, and deploy as you make changes to your code. Drone integrates seamlessly with Github, Bitbucket and Google Code as well as third party services such as Heroku, Dotcloud, Google AppEngine and more.

wercker

wercker

Wercker is a CI/CD developer automation platform designed for Microservices & Container Architecture.

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.

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