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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Infrastructure Build Tools
  5. AWS CloudFormation vs Nomad

AWS CloudFormation vs Nomad

OverviewDecisionsComparisonAlternatives

Overview

AWS CloudFormation
AWS CloudFormation
Stacks1.6K
Followers1.3K
Votes88
Nomad
Nomad
Stacks257
Followers344
Votes32
GitHub Stars15.9K
Forks2.0K

AWS CloudFormation vs Nomad: What are the differences?

AWS CloudFormation: Create and manage a collection of related AWS resources. You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work; Nomad: A cluster manager and scheduler. Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.

AWS CloudFormation and Nomad are primarily classified as "Infrastructure Build" and "Cluster Management" tools respectively.

Nomad is an open source tool with 4.93K GitHub stars and 893 GitHub forks. Here's a link to Nomad's open source repository on GitHub.

Expedia.com, Redox Engine, and TimeHop are some of the popular companies that use AWS CloudFormation, whereas Nomad is used by CircleCI, LendUp, and Wealthsimple. AWS CloudFormation has a broader approval, being mentioned in 197 company stacks & 77 developers stacks; compared to Nomad, which is listed in 21 company stacks and 3 developer stacks.

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Advice on AWS CloudFormation, Nomad

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
Sergey
Sergey

Contractor at Adaptive

Apr 17, 2020

Decided

Overview

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.

Advantages

Terraform 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.

Disadvantages

Software 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.

426k views426k
Comments

Detailed Comparison

AWS CloudFormation
AWS CloudFormation
Nomad
Nomad

You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work.

Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.

AWS CloudFormation comes with the following ready-to-run sample templates: WordPress (blog),Tracks (project tracking), Gollum (wiki used by GitHub), Drupal (content management), Joomla (content management), Insoshi (social apps), Redmine (project mgmt);No Need to Reinvent the Wheel – A template can be used repeatedly to create identical copies of the same stack (or to use as a foundation to start a new stack);Transparent and Open – Templates are simple JSON formatted text files that can be placed under your normal source control mechanisms, stored in private or public locations such as Amazon S3 and exchanged via email.;Declarative and Flexible – To create the infrastructure you want, you enumerate what AWS resources, configuration values and interconnections you need in a template and then let AWS CloudFormation do the rest with a few simple clicks in the AWS Management Console, via the command line tools or by calling the APIs.
Handles the scheduling and upgrading of the applications over time; With built-in dry-run execution, Nomad shows what scheduling decisions it will take before it takes them. Operators can approve or deny these changes to create a safe and reproducible workflow; Nomad runs applications and ensures they keep running in failure scenarios. In addition to long-running services, Nomad can schedule batch jobs, distributed cron jobs, and parameterized jobs; Stream logs, send signals, and interact with the file system of scheduled applications. These operator-friendly commands bring the familiar debugging tools to a scheduled world
Statistics
GitHub Stars
-
GitHub Stars
15.9K
GitHub Forks
-
GitHub Forks
2.0K
Stacks
1.6K
Stacks
257
Followers
1.3K
Followers
344
Votes
88
Votes
32
Pros & Cons
Pros
  • 43
    Automates infrastructure deployments
  • 21
    Declarative infrastructure and deployment
  • 13
    No more clicking around
  • 3
    Any Operative System you want
  • 3
    Infrastructure as code
Cons
  • 4
    Brittle
  • 2
    No RBAC and policies in templates
Pros
  • 7
    Built in Consul integration
  • 6
    Easy setup
  • 4
    Bult-in Vault integration
  • 3
    Built-in federation support
  • 2
    Autoscaling support
Cons
  • 3
    Easy to start with
  • 1
    Small comunity
  • 1
    HCL language for configuration, an unpopular DSL
Integrations
No integrations available
Consul
Consul
Docker
Docker
Vault
Vault

What are some alternatives to AWS CloudFormation, Nomad?

Packer

Packer

Packer automates the creation of any type of machine image. It embraces modern configuration management by encouraging you to use automated scripts to install and configure the software within your Packer-made images.

Apache Mesos

Apache Mesos

Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

Scalr

Scalr

Scalr is a remote state & operations backend for Terraform with access controls, policy as code, and many quality of life features.

Pulumi

Pulumi

Pulumi is a cloud development platform that makes creating cloud programs easy and productive. Skip the YAML and just write code. Pulumi is multi-language, multi-cloud and fully extensible in both its engine and ecosystem of packages.

DC/OS

DC/OS

Unlike traditional operating systems, DC/OS spans multiple machines within a network, aggregating their resources to maximize utilization by distributed applications.

Azure Resource Manager

Azure Resource Manager

It is the deployment and management service for Azure. It provides a management layer that enables you to create, update, and delete resources in your Azure subscription. You use management features, like access control, locks, and tags, to secure and organize your resources after deployment.

Mesosphere

Mesosphere

Mesosphere offers a layer of software that organizes your machines, VMs, and cloud instances and lets applications draw from a single pool of intelligently- and dynamically-allocated resources, increasing efficiency and reducing operational complexity.

Habitat

Habitat

Habitat is a new approach to automation that focuses on the application instead of the infrastructure it runs on. With Habitat, the apps you build, deploy, and manage behave consistently in any runtime — metal, VMs, containers, and PaaS. You'll spend less time on the environment and more time building features.

Google Cloud Deployment Manager

Google Cloud Deployment Manager

Google Cloud Deployment Manager allows you to specify all the resources needed for your application in a declarative format using yaml.

Gardener

Gardener

Many Open Source tools exist which help in creating and updating single Kubernetes clusters. However, the more clusters you need the harder it becomes to operate, monitor, manage and keep all of them alive and up-to-date. And that is exactly what project Gardener focuses on.

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