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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Infrastructure Build Tools
  5. Azure Resource Manager vs Yocto

Azure Resource Manager vs Yocto

OverviewComparisonAlternatives

Overview

Yocto
Yocto
Stacks70
Followers65
Votes0
Azure Resource Manager
Azure Resource Manager
Stacks40
Followers93
Votes11
GitHub Stars64
Forks47

Azure Resource Manager vs Yocto: What are the differences?

<Write Introduction here>
  1. Deployment Model: Azure Resource Manager is a cloud resource management service that allows users to manage and deploy resources in a declarative manner, while Yocto is a build system that generates custom Linux distributions for embedded devices through recipes and metadata.
  2. Scope: Azure Resource Manager is primarily designed for managing resources in the Microsoft Azure cloud environment, whereas Yocto is a tool specifically focused on building customized Linux distributions for embedded systems.
  3. Granularity: Azure Resource Manager provides a higher level of abstraction for managing resources with templates, while Yocto offers detailed control over building embedded Linux systems by configuring recipes and layers.
  4. Use Cases: Azure Resource Manager is suitable for managing cloud infrastructure and services, whereas Yocto is ideal for developing and customizing Linux distributions for embedded devices with specific hardware requirements.
  5. Integration: Azure Resource Manager seamlessly integrates with other Microsoft Azure services for provisioning and managing resources, whereas Yocto integrates with various open-source tools and components to build embedded Linux systems.
  6. Community Support: Azure Resource Manager has a strong community and official support from Microsoft, while Yocto has an active community of developers and contributors providing support and updates for the platform.

In Summary, Azure Resource Manager and Yocto differ in deployment model, scope, granularity, use cases, integration, and community support.

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Detailed Comparison

Yocto
Yocto
Azure Resource Manager
Azure Resource Manager

It is an open source collaboration project that helps developers create custom Linux-based systems regardless of the hardware architecture. It provides a flexible set of tools and a space where embedded developers worldwide can share technologies, software stacks, configurations, and best practices that can be used to create tailored Linux images for embedded and IOT devices, or anywhere a customized Linux OS is needed.

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.

Open source embedded Linux build system; package metadata; SDK generator;
Deploy app resources; Organize resources; Control access to resources
Statistics
GitHub Stars
-
GitHub Stars
64
GitHub Forks
-
GitHub Forks
47
Stacks
70
Stacks
40
Followers
65
Followers
93
Votes
0
Votes
11
Pros & Cons
No community feedback yet
Pros
  • 4
    Bicep - Simple Declarative Language
  • 2
    RBAC and Policies in templates
  • 1
    Infrastructure-as-Code
  • 1
    Deep integration with Azure services like Azure Policy
  • 1
    Over 1K samples the QuickStart repo
Integrations
Jenkins
Jenkins
Eclipse
Eclipse
Kubernetes
Kubernetes
Docker
Docker
Ruby
Ruby
Terraform
Terraform
rkt
rkt

What are some alternatives to Yocto, Azure Resource Manager?

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.

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.

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.

AWS Cloud Development Kit

AWS Cloud Development Kit

It is an open source software development framework to model and provision your cloud application resources using familiar programming languages. It uses the familiarity and expressive power of programming languages for modeling your applications. It provides you with high-level components that preconfigure cloud resources with proven defaults, so you can build cloud applications without needing to be an expert.

GeoEngineer

GeoEngineer

GeoEngineer uses Terraform to plan and execute changes, so the DSL to describe resources is similar to Terraform's. GeoEngineer's DSL also provides programming and object oriented features like inheritance, abstraction, branching and looping.

Atlas

Atlas

Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services.

Buildroot

Buildroot

It is a tool that simplifies and automates the process of building a complete Linux system for an embedded system, using cross-compilation.

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