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AWS CloudFormation vs Chef: What are the differences?

Introduction: In this Markdown, we will compare AWS CloudFormation and Chef, two popular tools used for infrastructure management and automation. Both tools have their own features and use cases, and understanding their key differences can help in making an informed decision about which tool to use.

  1. Scalability: AWS CloudFormation is a scalable and infrastructure-as-code tool that allows users to define and provision resources in a declarative manner. It supports a wide range of AWS services and is optimized for managing large-scale infrastructures. On the other hand, Chef is a configuration management tool that focuses on automating the provisioning, configuration, and management of servers. It can handle smaller to medium-scale infrastructures and is not limited to any specific cloud provider.

  2. Abstraction Level: CloudFormation operates at a higher level of abstraction, providing a way to define and manage entire environments or stacks of resources. It abstracts away the underlying infrastructure details, making it easier to create reproducible environments. In contrast, Chef operates at a lower level of abstraction, allowing users to define the desired state of individual servers and perform configuration management tasks.

  3. Supported Platforms: Since AWS CloudFormation is a native service offered by Amazon Web Services (AWS), it is tightly integrated with AWS services and can manage resources within the AWS ecosystem. It supports a wide range of AWS services, allowing users to provision and manage resources consistently. Chef, on the other hand, is not tied to any specific cloud provider and can work with a variety of platforms, including on-premises servers, public clouds, and containers.

  4. Ease of Use: AWS CloudFormation provides a user-friendly visual designer as well as a YAML or JSON-based script for defining infrastructure resources. It offers templates and pre-configured resources for a quick start. Chef, on the other hand, uses a domain-specific language (DSL) called "Chef Recipes" or "Cookbooks" to define the desired state and configuration actions. It requires some learning curve to get started with Chef, but it offers more flexibility and control over the configurations.

  5. Change Management: CloudFormation provides a robust change management capability, allowing users to apply changes to their infrastructure stack in a controlled and predictable way. It supports versioning, rolling updates, and rollback features, making it easier to manage infrastructure changes without causing disruptions. Chef also supports change management through a "Test-Driven Infrastructure" approach, where users can test and validate their infrastructure changes before applying them. However, it may require additional setup and effort compared to CloudFormation.

  6. Community and Ecosystem: AWS CloudFormation has a large and active community of users and a rich ecosystem of resources and templates available. It provides AWS CloudFormation registry, which offers a collection of third-party resources and templates. Chef also has a strong community and an extensive ecosystem of "Cookbooks" available in Chef Supermarket, providing reusable configurations and recipes for popular platforms and services.

In summary, AWS CloudFormation provides a scalable, cloud-native approach for managing infrastructure resources in AWS, while Chef offers a flexible and platform-agnostic configuration management solution. The choice between the two tools depends on the specific requirements, scalability needs, and platform considerations of the infrastructure management project.

Advice on AWS CloudFormation and Chef
Needs advice
on
AnsibleAnsibleChefChef
and
Puppet LabsPuppet Labs

I'm just getting started using Vagrant to help automate setting up local VMs to set up a Kubernetes cluster (development and experimentation only). (Yes, I do know about minikube)

I'm looking for a tool to help install software packages, setup users, etc..., on these VMs. I'm also fairly new to Ansible, Chef, and Puppet. What's a good one to start with to learn? I might decide to try all 3 at some point for my own curiosity.

The most important factors for me are simplicity, ease of use, shortest learning curve.

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Replies (2)
Recommends
on
AnsibleAnsible

I have been working with Puppet and Ansible. The reason why I prefer ansible is the distribution of it. Ansible is more lightweight and therefore more popular. This leads to situations, where you can get fully packaged applications for ansible (e.g. confluent) supported by the vendor, but only incomplete packages for Puppet.

The only advantage I would see with Puppet if someone wants to use Foreman. This is still better supported with Puppet.

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Gabriel Pa
Recommends
on
KubernetesKubernetes
at

If you are just starting out, might as well learn Kubernetes There's a lot of tools that come with Kube that make it easier to use and most importantly: you become cloud-agnostic. We use Ansible because it's a lot simpler than Chef or Puppet and if you use Docker Compose for your deployments you can re-use them with Kubernetes later when you migrate

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Decisions about AWS CloudFormation and Chef

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.

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Sergey Ivanov
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.

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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.
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Pros of AWS CloudFormation
Pros of Chef
  • 43
    Automates infrastructure deployments
  • 21
    Declarative infrastructure and deployment
  • 13
    No more clicking around
  • 3
    Any Operative System you want
  • 3
    Atomic
  • 3
    Infrastructure as code
  • 1
    CDK makes it truly infrastructure-as-code
  • 1
    Automates Infrastructure Deployment
  • 0
    K8s
  • 110
    Dynamic and idempotent server configuration
  • 76
    Reusable components
  • 47
    Integration testing with Vagrant
  • 43
    Repeatable
  • 30
    Mock testing with Chefspec
  • 14
    Ruby
  • 8
    Can package cookbooks to guarantee repeatability
  • 7
    Works with AWS
  • 3
    Has marketplace where you get readymade cookbooks
  • 3
    Matured product with good community support
  • 2
    Less declarative more procedural
  • 2
    Open source configuration mgmt made easy(ish)

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Cons of AWS CloudFormation
Cons of Chef
  • 4
    Brittle
  • 2
    No RBAC and policies in templates
    Be the first to leave a con

    Sign up to add or upvote consMake informed product decisions

    What is AWS CloudFormation?

    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.

    What is 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.

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    What companies use AWS CloudFormation?
    What companies use Chef?
    See which teams inside your own company are using AWS CloudFormation or Chef.
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    What tools integrate with AWS CloudFormation?
    What tools integrate with Chef?

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    What are some alternatives to AWS CloudFormation and Chef?
    AWS CodeDeploy
    AWS CodeDeploy is a service that automates code deployments to Amazon EC2 instances. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications.
    Terraform
    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 Elastic Beanstalk
    Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
    AWS Config
    AWS Config is a fully managed service that provides you with an AWS resource inventory, configuration history, and configuration change notifications to enable security and governance. With AWS Config you can discover existing AWS resources, export a complete inventory of your AWS resources with all configuration details, and determine how a resource was configured at any point in time. These capabilities enable compliance auditing, security analysis, resource change tracking, and troubleshooting.
    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.
    See all alternatives