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

TeamCity vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K
TeamCity
TeamCity
Stacks1.2K
Followers1.1K
Votes316

TeamCity vs Terraform: What are the differences?

Introduction

TeamCity and Terraform are both popular tools used in software development and infrastructure management. While they serve different purposes, it is important to understand the key differences between them in order to make informed decisions about their usage. Here are six key differences between TeamCity and Terraform:

  1. Build Automation vs Infrastructure Provisioning: TeamCity is a build automation tool that focuses on continuous integration and deployment. It allows users to compile, test, and build software applications automatically. On the other hand, Terraform is an infrastructure provisioning tool that helps in creating and managing infrastructure resources such as servers, networks, and storage.

  2. Centralized vs Decentralized Configuration: TeamCity uses a centralized configuration approach where build configurations are stored and managed in a central server. This allows for easier management of build configurations and consistency across different projects. In contrast, Terraform uses a decentralized configuration approach where infrastructure configurations are written in code and stored in version control systems. This enables collaboration and makes it easier to manage infrastructure changes.

  3. Compatibility and Integration: TeamCity is specifically designed to integrate with various development tools, including version control systems, issue tracking systems, and testing frameworks. It offers out-of-the-box integrations with popular tools like Git, GitHub, JIRA, and Selenium. On the other hand, Terraform is designed to work with multiple cloud providers, such as AWS, Azure, and Google Cloud. It provides a consistent way to manage infrastructure across different cloud platforms.

  4. Targeted Users: TeamCity is primarily targeted towards development teams and focuses on improving the software development and delivery process. It provides features like code analysis, automatic testing, and release management. On the other hand, Terraform is targeted towards infrastructure engineers and operators who are responsible for managing infrastructure resources. It provides a way to define and manage infrastructure as code.

  5. Deployment Scope: TeamCity is typically used for deploying applications and services within the development environment or continuous integration/continuous deployment (CI/CD) pipelines. It is not designed for managing infrastructure resources at scale. In contrast, Terraform is specifically designed for managing infrastructure resources, and it can be used to provision and manage infrastructure across various environments, including development, staging, and production.

  6. Approach to Infrastructure Changes: TeamCity focuses on managing the build and deployment process by automatically triggering builds and deploying applications. It does not handle infrastructure changes directly, and any infrastructure changes need to be managed outside of TeamCity. On the other hand, Terraform provides a declarative approach to infrastructure changes. Infrastructure configurations are defined in code, and Terraform can automatically provision, modify, and destroy infrastructure resources based on the desired state.

In Summary, TeamCity is a build automation tool focused on continuous integration and deployment, whereas Terraform is an infrastructure provisioning tool used to create and manage infrastructure resources. TeamCity has a centralized configuration approach, while Terraform uses a decentralized configuration approach. TeamCity integrates with development tools, while Terraform works with cloud providers. TeamCity is targeted towards development teams, while Terraform is for infrastructure engineers. TeamCity is used for deploying applications within CI/CD pipelines, while Terraform can manage infrastructure across different environments. TeamCity does not handle infrastructure changes directly, while Terraform provides a declarative approach to infrastructure changes.

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Advice on Terraform, TeamCity

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
TeamCity
TeamCity

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.

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.

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
Automate code analyzing, compiling, and testing processes, with having instant feedback on build progress, problems, and test failures, all in a simple, intuitive web-interface; Simplified setup: create projects from just a VCS repository URL;Run multiple builds and tests under different configurations and platforms simultaneously; Make sure your team sustains an uninterrupted workflow with the help of Pretested commits and Personal builds; Have build history insight with customizable statistics on build duration, success rate, code quality, and custom metrics; Enable cost-effective on-demand build infrastructure scaling thanks to tight integration with Amazon EC2; Easily extend TeamCity functionality and add new integrations using Java API; Great visual project representation. Track any changes made by any user in the system, filter projects and choose style of visual change status representation;
Statistics
GitHub Stars
47.0K
GitHub Stars
-
GitHub Forks
10.1K
GitHub Forks
-
Stacks
22.9K
Stacks
1.2K
Followers
14.7K
Followers
1.1K
Votes
344
Votes
316
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
  • 61
    Easy to configure
  • 37
    Reliable and high-quality
  • 32
    User friendly
  • 32
    On premise
  • 32
    Github integration
Cons
  • 3
    High costs for more than three build agents
  • 2
    Proprietary
  • 2
    User friendly
  • 2
    User-friendly
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
Slack
Slack

What are some alternatives to Terraform, TeamCity?

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.

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.

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.

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