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

Spinnaker vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K
Spinnaker
Spinnaker
Stacks233
Followers358
Votes14
GitHub Stars9.6K
Forks1.2K

Spinnaker vs Terraform: What are the differences?

Key Differences between Spinnaker and Terraform

Spinnaker and Terraform are two popular tools used in the DevOps world. While they both serve different purposes, there are several key differences that set them apart.

  1. Architecture: Spinnaker is a continuous delivery platform that focuses on managing application deployments across multiple cloud providers and infrastructure-as-a-service (IaaS) platforms. It provides a powerful and flexible pipeline orchestration system to automate the deployment process. On the other hand, Terraform is an infrastructure-as-code tool that helps in creating, managing, and versioning infrastructure resources in a declarative manner.

  2. Scope: Spinnaker has a broader scope and is primarily focused on application deployment, pipeline orchestration, and managing release processes. It provides a user-friendly interface and supports multiple stages of a deployment pipeline, including testing, approval, and deployment to various cloud environments. In contrast, Terraform focuses on infrastructure provisioning and configuration management, allowing users to define and manage infrastructure resources such as virtual machines, networks, and load balancers.

  3. Cloud Provider Support: Spinnaker offers native support for a wide range of cloud providers, including AWS, GCP, Azure, and Kubernetes. It provides a unified interface to deploy and manage applications across multiple cloud platforms. Terraform, on the other hand, supports not only cloud providers but also other infrastructure components like DNS providers, monitoring tools, and databases. It allows users to define infrastructure resources using its domain-specific language (DSL) and supports nearly all major cloud providers.

  4. Workflow: Spinnaker supports a more complex and configurable deployment workflow. It provides features like canary deployments, rolling red/black deployments, and deployment strategies like highlander, which allow users to manage and control the release process at a sophisticated level. Terraform focuses primarily on infrastructure provisioning and follows a linear, sequential deployment model. It creates resources in the order specified in the configuration files and does not provide advanced deployment strategies out of the box.

  5. Version Control Integration: Spinnaker integrates well with version control systems like GitHub, Bitbucket, and GitLab. It allows users to trigger deployments automatically based on code changes and supports versioning of deployment pipelines. Terraform also supports version control systems and provides features to manage infrastructure code. It allows users to store the state of the infrastructure in version control and collaborate effectively with team members.

  6. Community and Ecosystem: Both Spinnaker and Terraform have active communities and extensive ecosystems. Spinnaker has a focused community and is widely adopted by companies in the software delivery space. It has a rich ecosystem of plugins and integrations that provide additional functionalities. Terraform has a larger community and is used by companies of all sizes. It has a wide range of provider plugins for various cloud platforms, making it easy to manage infrastructure resources.

In summary, Spinnaker is a continuous delivery platform focused on application deployment and pipeline orchestration, while Terraform is an infrastructure-as-code tool primarily used for infrastructure provisioning and management. Spinnaker offers broader scope, advanced deployment workflows, and native support for multiple cloud providers, while Terraform provides a declarative approach to manage infrastructure resources and supports a wide range of cloud providers. Both tools have active communities and extensive ecosystems.

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Advice on Terraform, Spinnaker

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
Spinnaker
Spinnaker

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.

Created at Netflix, it has been battle-tested in production by hundreds of teams over millions of deployments. It combines a powerful and flexible pipeline management system with integrations to the major cloud providers.

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
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Statistics
GitHub Stars
47.0K
GitHub Stars
9.6K
GitHub Forks
10.1K
GitHub Forks
1.2K
Stacks
22.9K
Stacks
233
Followers
14.7K
Followers
358
Votes
344
Votes
14
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
  • 14
    Mature
Cons
  • 3
    No GitOps
  • 1
    Configuration time
  • 1
    Ease of use
  • 1
    Management overhead
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
Stackdriver
Stackdriver
Packer
Packer
Prometheus
Prometheus
Chef
Chef
Jenkins
Jenkins
Docker
Docker
Puppet Labs
Puppet Labs
Amazon EC2
Amazon EC2
GitHub
GitHub
Google Kubernetes Engine
Google Kubernetes Engine

What are some alternatives to Terraform, Spinnaker?

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.

Buddy

Buddy

Git platform for web and software developers with Docker-based tools for Continuous Integration and Deployment.

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.

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.

Salt

Salt

Salt is a new approach to infrastructure management. Easy enough to get running in minutes, scalable enough to manage tens of thousands of servers, and fast enough to communicate with them in seconds. Salt delivers a dynamic communication bus for infrastructures that can be used for orchestration, remote execution, configuration management and much more.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Fabric

Fabric

Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution.

DeployBot

DeployBot

DeployBot makes it simple to deploy your work anywhere. You can compile or process your code in a Docker container on our infrastructure, and we'll copy it to your servers once everything has been successfully built.

AWS OpsWorks

AWS OpsWorks

Start from templates for common technologies like Ruby, Node.JS, PHP, and Java, or build your own using Chef recipes to install software packages and perform any task that you can script. AWS OpsWorks can scale your application using automatic load-based or time-based scaling and maintain the health of your application by detecting failed instances and replacing them. You have full control of deployments and automation of each component

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