Chef聽vs聽Google Cloud Deployment Manager

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Chef
Chef

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Google Cloud Deployment Manager
Google Cloud Deployment Manager

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Chef vs Google Cloud Deployment Manager: What are the differences?

Developers describe Chef as "Build, destroy and rebuild servers on any public or private cloud". 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. On the other hand, Google Cloud Deployment Manager is detailed as "Create and manage cloud resources with simple templates". Google Cloud Deployment Manager allows you to specify all the resources needed for your application in a declarative format using yaml.

Chef can be classified as a tool in the "Server Configuration and Automation" category, while Google Cloud Deployment Manager is grouped under "Infrastructure Build Tools".

Chef is an open source tool with 5.86K GitHub stars and 2.36K GitHub forks. Here's a link to Chef's open source repository on GitHub.

- No public GitHub repository available -

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.

What is 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.
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    What are some alternatives to Chef and Google Cloud Deployment Manager?
    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鈥檚 goals are foremost those of simplicity and maximum ease of use.
    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.
    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.
    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.
    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.
    See all alternatives
    Decisions about Chef and Google Cloud Deployment Manager
    Marcel Kornegoor
    Marcel Kornegoor
    CTO at AT Computing | 5 upvotes 331.4K views
    atAT ComputingAT Computing
    Linux
    Linux
    Ubuntu
    Ubuntu
    CentOS
    CentOS
    Debian
    Debian
    Red Hat Enterprise Linux
    Red Hat Enterprise Linux
    Fedora
    Fedora
    Visual Studio Code
    Visual Studio Code
    Jenkins
    Jenkins
    VirtualBox
    VirtualBox
    GitHub
    GitHub
    Docker
    Docker
    Kubernetes
    Kubernetes
    Google Compute Engine
    Google Compute Engine
    Ansible
    Ansible
    Puppet Labs
    Puppet Labs
    Chef
    Chef
    Python
    Python
    #ATComputing

    Since #ATComputing is a vendor independent Linux and open source specialist, we do not have a favorite Linux distribution. We mainly use Ubuntu , Centos Debian , Red Hat Enterprise Linux and Fedora during our daily work. These are also the distributions we see most often used in our customers environments.

    For our #ci/cd training, we use an open source pipeline that is build around Visual Studio Code , Jenkins , VirtualBox , GitHub , Docker Kubernetes and Google Compute Engine.

    For #ServerConfigurationAndAutomation, we have embraced and contributed to Ansible mainly because it is not only flexible and powerful, but also straightforward and easier to learn than some other (open source) solutions. On the other hand: we are not affraid of Puppet Labs and Chef either.

    Currently, our most popular #programming #Language course is Python . The reason Python is so popular has to do with it's versatility, but also with its low complexity. This helps sysadmins to write scripts or simple programs to make their job less repetitive and automating things more fun. Python is also widely used to communicate with (REST) API's and for data analysis.

    See more
    Terraform
    Terraform
    Google Cloud Deployment Manager
    Google Cloud Deployment Manager
    AWS CloudFormation
    AWS CloudFormation

    I use Terraform because it hits the level of abstraction pocket of being high-level and flexible, and is agnostic to cloud platforms. Creating complex infrastructure components for a solution with a UI console is tedious to repeat. Using low-level APIs are usually specific to cloud platforms, and you still have to build your own tooling for deploying, state management, and destroying infrastructure.

    However, Terraform is usually slower to implement new services compared to cloud-specific APIs. It's worth the trade-off though, especially if you're multi-cloud. I heard someone say, "We want to preference a cloud, not lock in to one." Terraform builds on that claim.

    Terraform Google Cloud Deployment Manager AWS CloudFormation

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    Google Cloud IoT Core
    Google Cloud IoT Core
    Terraform
    Terraform
    Python
    Python
    Google Cloud Deployment Manager
    Google Cloud Deployment Manager
    Google Cloud Build
    Google Cloud Build
    Google Cloud Run
    Google Cloud Run
    Google Cloud Bigtable
    Google Cloud Bigtable
    Google BigQuery
    Google BigQuery
    Google Cloud Storage
    Google Cloud Storage
    Google Compute Engine
    Google Compute Engine
    GitHub
    GitHub

    Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

    Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

    Check Out My Architecture: CLICK ME

    Check out the GitHub repo attached

    See more
    Interest over time
    Reviews of Chef and Google Cloud Deployment Manager
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    How developers use Chef and Google Cloud Deployment Manager
    Avatar of Goyoboard
    Goyoboard uses ChefChef

    Out custom recipes makes it simple for developers bootstrap process (using vagrant) and that same recipe is also the one that is used to prep instances

    Avatar of Zinc
    Zinc uses ChefChef

    We use Chef for our configuration management and our service discovery.

    Avatar of EverTrue
    EverTrue uses ChefChef

    Configuration management for any services not provided by AWS.

    Avatar of Hund
    Hund uses ChefChef

    Distributed application deployments and server configuration.

    Avatar of James Salas
    James Salas uses ChefChef

    Configuration and deployment of application

    How much does Chef cost?
    How much does Google Cloud Deployment Manager cost?
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