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

AWS CloudFormation vs Puppet Labs

OverviewDecisionsComparisonAlternatives

Overview

AWS CloudFormation
AWS CloudFormation
Stacks1.6K
Followers1.3K
Votes88
Puppet Labs
Puppet Labs
Stacks1.3K
Followers793
Votes227
GitHub Stars7.7K
Forks2.2K

AWS CloudFormation vs Puppet Labs: What are the differences?

Introduction

In this article, we will compare and contrast AWS CloudFormation and Puppet Labs based on their key differences. Both AWS CloudFormation and Puppet Labs are popular tools used for automating and managing infrastructure, but they have different approaches and functionalities. Below are the key differences between these two tools.

  1. Configuration Management vs. Infrastructure as Code: AWS CloudFormation is primarily focused on infrastructure as code, where infrastructure resources are defined and provisioned using code templates. It provides a declarative approach for defining and managing infrastructure resources in a cloud environment. On the other hand, Puppet Labs, also known as Puppet, primarily focuses on configuration management. Puppet allows for the automation of the configuration and management of software and systems, rather than provisioning infrastructure resources.

  2. Cloud-Focused vs. Multi-platform Support: AWS CloudFormation is tightly integrated with Amazon Web Services (AWS) and provides extensive support for managing AWS resources and services. It is specifically designed to work seamlessly with AWS services and offers a wide range of pre-defined AWS resource types. In contrast, Puppet Labs is a multi-platform tool that can be used to manage infrastructure across different cloud providers, virtual machines, and physical servers. It provides support for managing both on-premises and cloud-based resources.

  3. State Management: AWS CloudFormation manages and tracks the state of the resources it provisions. It ensures that the desired state defined in the code template is maintained and applies any necessary changes to achieve the desired state. Puppet Labs, on the other hand, maintains the desired state of the infrastructure by continuously enforcing and managing configurations. It allows for configuration drift detection and remediation, ensuring that the desired state is always maintained.

  4. Scalability and Elasticity: AWS CloudFormation provides built-in support for scaling and managing the lifecycle of resources. It allows for dynamic scaling and automatic handling of resource creation, updating, and deletion. Puppet Labs, although it can be used for managing scalability and elasticity, primarily focuses on configuration management and does not have the same level of built-in support for resource scaling and management as AWS CloudFormation.

  5. Vendor Lock-in: While both tools provide flexibility and portability, the level of vendor lock-in differs. AWS CloudFormation is tightly coupled with AWS services and resources and is optimized for managing the AWS infrastructure. This can result in vendor lock-in, as it may not be easy to migrate infrastructure resources to other cloud providers. Puppet Labs, being a multi-platform tool, offers more flexibility and portability as it can be used to manage infrastructure resources across different platforms, reducing the risk of vendor lock-in.

  6. Community and Ecosystem: AWS CloudFormation has a large and active community with a vast collection of pre-built templates available in the AWS CloudFormation registry. This community support and ecosystem provide a wealth of shared knowledge, best practices, and ready-to-use templates, making it easier to get started and receive support. Puppet Labs also has a strong community with an active user base, providing resources and support, but its ecosystem may not be as extensive as AWS CloudFormation's.

In summary, AWS CloudFormation and Puppet Labs differ in their focus, functionality, platform support, state management, scalability, vendor lock-in risk, and community and ecosystem. AWS CloudFormation is primarily focused on infrastructure as code, tightly integrated with AWS, and provides extensive support for managing AWS resources. Puppet Labs, on the other hand, is a multi-platform tool primarily focused on configuration management and offers more flexibility and portability.

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Advice on AWS CloudFormation, Puppet Labs

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
Puppet Labs
Puppet Labs

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.

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.

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.
Insight- Puppet Enterprise's event inspector gives immediate and actionable insight into your environment, showing you what changed, where and how by classes, nodes and resources.;Discovery- Puppet Enterprise delivers a dynamic and fully-pluggable discovery service that allows you to take advantage of any data source or real-time query results to quickly locate, identify and group cloud nodes.;Provisioning- Automatically provision and configure bare metal, virtual, and private or public cloud capacity, all from a single pane. Save time getting your cloud projects off the ground by reusing the same configuration modules you set up for your physical deployments.;Configuration Management- Puppet Enterprise's declarative, model-based approach automates repetitive tasks and eliminates configuration drift. You define the desired state of your infrastructure, and Puppet Enterprise enforces this state, freeing you to work on tougher projects.;Orchestration- Quickly deploy critical updates, like security patches, across hundreds of servers in seconds, or proactively initiate Puppet runs to update configurations and report changes. Puppet Enterprise allows you to orchestrate controlled, multi-step operations to targeted collections of nodes, giving you complete control over infrastructure changes.;Reporting- Get visibility into your infrastructure, browse resources, and view reports that help you manage your configuration. Puppet Enterprise provides node hardware and software inventory, Puppet run change reports, and node configuration graphs via the product's console or 3rd party APIs.
Statistics
GitHub Stars
-
GitHub Stars
7.7K
GitHub Forks
-
GitHub Forks
2.2K
Stacks
1.6K
Stacks
1.3K
Followers
1.3K
Followers
793
Votes
88
Votes
227
Pros & Cons
Pros
  • 43
    Automates infrastructure deployments
  • 21
    Declarative infrastructure and deployment
  • 13
    No more clicking around
  • 3
    Atomic
  • 3
    Any Operative System you want
Cons
  • 4
    Brittle
  • 2
    No RBAC and policies in templates
Pros
  • 52
    Devops
  • 44
    Automate it
  • 26
    Reusable components
  • 21
    Dynamic and idempotent server configuration
  • 18
    Great community
Cons
  • 3
    Steep learning curve
  • 1
    Customs types idempotence

What are some alternatives to AWS CloudFormation, Puppet Labs?

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.

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.

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.

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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