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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:
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.
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.
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.
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.
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.
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.
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.
We use Terraform to manage AWS cloud environment for the project. It is pretty complex, largely static, security-focused, and constantly evolving.
Terraform provides descriptive (declarative) way of defining the target configuration, where it can work out the dependencies between configuration elements and apply differences without re-provisioning the entire cloud stack.
AdvantagesTerraform is vendor-neutral in a way that it is using a common configuration language (HCL) with plugins (providers) for multiple cloud and service providers.
Terraform keeps track of the previous state of the deployment and applies incremental changes, resulting in faster deployment times.
Terraform allows us to share reusable modules between projects. We have built an impressive library of modules internally, which makes it very easy to assemble a new project from pre-fabricated building blocks.
DisadvantagesSoftware is imperfect, and Terraform is no exception. Occasionally we hit annoying bugs that we have to work around. The interaction with any underlying APIs is encapsulated inside 3rd party Terraform providers, and any bug fixes or new features require a provider release. Some providers have very poor coverage of the underlying APIs.
Terraform is not great for managing highly dynamic parts of cloud environments. That part is better delegated to other tools or scripts.
Terraform state may go out of sync with the target environment or with the source configuration, which often results in painful reconciliation.
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.
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
Pros of TeamCity
- Easy to configure61
- Reliable and high-quality37
- User friendly32
- On premise32
- Github integration32
- Great UI18
- Smart16
- Free for open source12
- Can run jobs in parallel12
- Crossplatform8
- Chain dependencies5
- Fully-functional out of the box5
- Great support by jetbrains4
- REST API4
- Projects hierarchy4
- 100+ plugins4
- Personal notifications3
- Free for small teams3
- Build templates3
- Per-project permissions3
- Upload build artifacts2
- Smart build failure analysis and tracking2
- Ide plugins2
- GitLab integration2
- Artifact dependencies2
- Official reliable support2
- Build progress messages promoting from running process2
- Repository-stored, full settings dsl with ide support1
- Built-in artifacts repository1
- Powerful build chains / pipelines1
- TeamCity Professional is FREE1
- High-Availability0
- Hosted internally0
Pros of Terraform
- Infrastructure as code121
- Declarative syntax73
- Planning45
- Simple28
- Parallelism24
- Well-documented8
- Cloud agnostic8
- It's like coding your infrastructure in simple English6
- Immutable infrastructure6
- Platform agnostic5
- Extendable4
- Automation4
- Automates infrastructure deployments4
- Portability4
- Lightweight2
- Scales to hundreds of hosts2
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Cons of TeamCity
- High costs for more than three build agents3
- Proprietary2
- User-friendly2
- User friendly2
Cons of Terraform
- Doesn't have full support to GKE1