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  1. Stackups
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  5. AWS CloudFormation vs Chef

AWS CloudFormation vs Chef

OverviewDecisionsComparisonAlternatives

Overview

AWS CloudFormation
AWS CloudFormation
Stacks1.6K
Followers1.3K
Votes88
Chef
Chef
Stacks1.3K
Followers1.1K
Votes345

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.

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Advice on AWS CloudFormation, Chef

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
Chef
Chef

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.

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.

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.
Access to 800+ Reusable Cookbooks;Integration with Leading Cloud Providers;Enterprise Platform Support including Windows and Solaris;Create, Bootstrap and Manage OpenStack Clouds;Easy Installation with 'one-click' Omnibus Installer;Automatic System Discovery with Ohai;Text-Based Search Capabilities;Multiple Environment Support;"Knife" Command Line Interface;"Dry Run" Mode for Testing Potential Changes;Manage 10,000+ Nodes on a Single Chef Server;Available as a Hosted Service;Centralized Activity and Resource Reporting;"Push" Command and Control Client Runs;Multi-Tenancy;Role-Based Access Control [RBAC];High Availability Installation Support and Verification;Centralized Authentication Using LDAP or Active Directory
Statistics
Stacks
1.6K
Stacks
1.3K
Followers
1.3K
Followers
1.1K
Votes
88
Votes
345
Pros & Cons
Pros
  • 43
    Automates infrastructure deployments
  • 21
    Declarative infrastructure and deployment
  • 13
    No more clicking around
  • 3
    Infrastructure as code
  • 3
    Atomic
Cons
  • 4
    Brittle
  • 2
    No RBAC and policies in templates
Pros
  • 110
    Dynamic and idempotent server configuration
  • 76
    Reusable components
  • 47
    Integration testing with Vagrant
  • 43
    Repeatable
  • 30
    Mock testing with Chefspec
Integrations
No integrations available
Amazon EC2
Amazon EC2
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
HP Cloud Compute
HP Cloud Compute
Joyent Cloud
Joyent Cloud

What are some alternatives to AWS CloudFormation, Chef?

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.

Terraform

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.

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.

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.

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

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.

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.

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