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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Server Configuration And Automation
  5. Chef vs Habitat

Chef vs Habitat

OverviewDecisionsComparisonAlternatives

Overview

Chef
Chef
Stacks1.3K
Followers1.1K
Votes345
Habitat
Habitat
Stacks34
Followers60
Votes5
GitHub Stars2.7K
Forks319

Chef vs Habitat: What are the differences?

Introduction

In this article, we will explore the key differences between Chef and Habitat, two popular tools used in DevOps and automation. Both Chef and Habitat are configuration management and application automation tools, but they have different features and approaches. Let's dive into the key differences between these two tools.

  1. Installation and Configuration: While Chef focuses on traditional configuration management, requiring an agent to be installed on managed nodes, Habitat takes a different approach. Habitat is agentless, making it lightweight and more suitable for modern containerized environments. Habitat packages applications with all their dependencies, allowing for easy deployment and portability across different platforms.

  2. Application Lifecycle Management: Chef primarily focuses on infrastructure management and automating configuration tasks. It helps in configuring and managing servers, network devices, and applications. On the other hand, Habitat provides a complete application lifecycle management solution. It enables defining the entire lifecycle of an application from build and deployment to runtime management and updates.

  3. Configuration Management vs. Application Packaging: Chef is designed for declarative configuration management. It uses a domain-specific language (DSL) to define and manage the desired state of infrastructure and applications. Habitat, on the other hand, focuses more on application packaging and delivery. It allows developers to package applications along with their dependencies and runtime configurations into self-contained artifacts called Habitat packages.

  4. Service Discovery and Load Balancing: Chef provides some basic service discovery features through its Chef server and client infrastructure. It allows for registering and discovering services within a Chef-managed environment. Habitat, on the other hand, comes with built-in service discovery and load balancing capabilities. It can automatically and dynamically discover services and manage load balancing based on service health and availability.

  5. Dynamic Configuration Updates: Chef allows for dynamic configuration updates by utilizing an "agent-pull" model. It periodically fetches the latest configuration from a centralized Chef server and applies it to managed nodes. Habitat, on the other hand, takes a different approach. It provides a runtime environment that can dynamically update the configuration of running applications without requiring a restart, allowing for real-time changes to application configurations.

  6. Community Support and Ecosystem: Chef has a strong and active community with a wide range of cookbooks, plugins, and integrations available. It has been in the market for a longer time and has a more mature ecosystem. Habitat, on the other hand, is relatively newer but has gained popularity due to its unique features. While it may not have as large of a community as Chef, it still has a growing ecosystem and a supportive community.

In Summary, the key differences between Chef and Habitat lie in their installation and configuration, application lifecycle management, focus on configuration management vs. application packaging, service discovery and load balancing capabilities, dynamic configuration updates, and community support and ecosystem.

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Advice on Chef, Habitat

Anonymous
Anonymous

Sep 17, 2019

Needs advice

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.

329k views329k
Comments

Detailed Comparison

Chef
Chef
Habitat
Habitat

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.

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.

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
GitHub Stars
-
GitHub Stars
2.7K
GitHub Forks
-
GitHub Forks
319
Stacks
1.3K
Stacks
34
Followers
1.1K
Followers
60
Votes
345
Votes
5
Pros & Cons
Pros
  • 110
    Dynamic and idempotent server configuration
  • 76
    Reusable components
  • 47
    Integration testing with Vagrant
  • 43
    Repeatable
  • 30
    Mock testing with Chefspec
Pros
  • 2
    Easy to use
  • 1
    Supervisor is great concept
  • 1
    Lightweight
  • 1
    Cross platform builds
Integrations
Amazon EC2
Amazon EC2
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
HP Cloud Compute
HP Cloud Compute
Joyent Cloud
Joyent Cloud
Terraform
Terraform
Microsoft Azure
Microsoft Azure
rkt
rkt
Nomad
Nomad
Google App Engine
Google App Engine
Docker
Docker
Mesosphere
Mesosphere
Kubernetes
Kubernetes
Google Compute Engine
Google Compute Engine
VMware vSphere
VMware vSphere

What are some alternatives to Chef, Habitat?

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.

AWS CloudFormation

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.

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.

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