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

AWS CodeBuild vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K
AWS CodeBuild
AWS CodeBuild
Stacks443
Followers485
Votes43

AWS CodeBuild vs Terraform: What are the differences?

Introduction

AWS CodeBuild and Terraform are two popular tools used in DevOps for managing infrastructure as code (IaC) and automating the deployment process. While both tools serve similar purposes, there are key differences between them that make each tool unique.

  1. Integration with Cloud Providers: One of the key differences between AWS CodeBuild and Terraform is their integration with cloud providers. AWS CodeBuild is a fully managed service provided by Amazon Web Services and is tightly integrated with other AWS services. It can directly access AWS resources and interact with them during the build process. On the other hand, Terraform is a tool that can be used across multiple cloud providers, not just AWS. It follows a provider-agnostic approach and provides a consistent way to define and manage infrastructure across different cloud platforms.

  2. Build Process: Another difference lies in the build process. AWS CodeBuild is primarily focused on building and testing code in a continuous integration/continuous deployment (CI/CD) pipeline. It provides a scalable and highly available environment to build, test, and package code. CodeBuild provides pre-configured build environments or allows custom build environments with user-defined specifications. On the other hand, Terraform is solely focused on defining and provisioning infrastructure resources. It allows users to define infrastructure as code using its declarative language, and then Terraform automatically creates or modifies the resources to match the desired state.

  3. Dependency Management: When it comes to managing dependencies, AWS CodeBuild allows users to define dependencies within the build specification. It has built-in support for package managers such as Maven or npm and can automatically install dependencies as specified in the build project. In contrast, Terraform does not directly manage application-level dependencies. It primarily focuses on managing infrastructure resources and does not provide built-in dependency management for application-level dependencies. Users need to handle application dependencies separately outside of Terraform.

  4. Scalability and Resource Consumption: AWS CodeBuild is a fully managed service provided by AWS, which means it can scale automatically based on the demand. It allows users to run multiple builds concurrently in separate containers, providing high scalability. The resource consumption is managed by AWS, and users only pay for the resources they use during the build process. In contrast, Terraform does not have built-in scalability like CodeBuild. Users need to manage the resources and scalability of the infrastructure themselves. They have more control over the resource consumption but need to ensure proper resource allocation and scaling.

  5. Integration with CI/CD Tools: Both AWS CodeBuild and Terraform can be seamlessly integrated with popular CI/CD tools such as AWS CodePipeline, Jenkins, or GitLab CI/CD. However, the level of integration and ease of use may vary. AWS CodeBuild is tightly integrated with AWS CodePipeline and provides native support for it. It allows users to easily set up build projects within the pipeline and trigger builds based on code changes or other events. On the other hand, Terraform can be integrated with various CI/CD tools using plugins or scripts. Users need to write custom scripts or use third-party plugins to incorporate Terraform into their CI/CD workflows.

  6. Infrastructure Provisioning: While both tools can manage infrastructure, the approach to provisioning infrastructure differs. CodeBuild does not explicitly provision infrastructure resources itself. Instead, it relies on other services such as AWS CloudFormation to provision the necessary infrastructure as defined in the build specification. CodeBuild is mainly responsible for building and testing the code. In contrast, Terraform is primarily designed for provisioning and managing infrastructure resources. It provides a declarative language to define the desired state of the infrastructure, and then automatically provisions and manages the resources to match that state.

In Summary, while both AWS CodeBuild and Terraform serve the purpose of managing infrastructure as code, they have key differences in terms of integration with cloud providers, build process, dependency management, scalability, resource consumption, integration with CI/CD tools, and infrastructure provisioning.

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Advice on Terraform, AWS CodeBuild

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 CodeBuild
AWS CodeBuild

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.

AWS CodeBuild is a fully managed build service that compiles source code, runs tests, and produces software packages that are ready to deploy. With CodeBuild, you don’t need to provision, manage, and scale your own build servers.

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
Fully Managed Build Service;Continuous Scaling;Enables Continuous Integration;Integrates seamlessly with AWS services;FAQs: https://aws.amazon.com/codebuild/faqs/
Statistics
GitHub Stars
47.0K
GitHub Stars
-
GitHub Forks
10.1K
GitHub Forks
-
Stacks
22.9K
Stacks
443
Followers
14.7K
Followers
485
Votes
344
Votes
43
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
  • 7
    Pay per minute
  • 5
    Parameter Store integration for passing secrets
  • 4
    Integrated with AWS
  • 3
    Bit bucket integration
  • 3
    Streaming logs to Amazon CloudWatch
Cons
  • 2
    Poor branch 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
AWS Elastic Beanstalk
AWS Elastic Beanstalk
AWS CodeCommit
AWS CodeCommit
Amazon S3
Amazon S3
GitHub
GitHub
Bitbucket
Bitbucket
AWS CloudFormation
AWS CloudFormation
Jenkins
Jenkins
GitHub Enterprise
GitHub Enterprise

What are some alternatives to Terraform, AWS CodeBuild?

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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