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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Virtualization Platform
  5. Terraform vs VMware vSphere

Terraform vs VMware vSphere

OverviewDecisionsComparisonAlternatives

Overview

VMware vSphere
VMware vSphere
Stacks608
Followers550
Votes30
Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K

Terraform vs VMware vSphere: What are the differences?

Introduction

Terraform and VMware vSphere are two widely used technologies in the field of infrastructure provisioning and management. While they serve similar purposes, there are some key differences between them that distinguish their functionalities and capabilities.

  1. Deployment Strategy: Terraform is an open-source Infrastructure as Code (IaC) tool that allows users to define and manage infrastructure configurations as code. It supports a wide range of cloud providers and can be used to provision and manage resources across different platforms. On the other hand, VMware vSphere is a virtualization platform that provides virtualization services to organizations. It enables the creation, deployment, and management of virtual machines and virtualized infrastructure on-premises.

  2. Vendor Specificity: Terraform is cloud-agnostic and can be used to provision and manage resources across different cloud providers like AWS, Azure, and GCP. It provides a unified configuration language and workflow, allowing organizations to adopt a multi-cloud or hybrid cloud strategy without being locked into a specific vendor. In contrast, VMware vSphere is a VMware-specific virtualization platform. It is designed to work with VMware infrastructure and provides features and capabilities specific to the VMware ecosystem.

  3. Level of Abstraction: Terraform operates at a higher level of abstraction by providing Infrastructure as Code (IaC) capabilities. It allows users to define their infrastructure configurations using declarative language, where they specify the desired state of the infrastructure and let Terraform manage the actual resource creation and configuration. VMware vSphere, on the other hand, operates at a lower level of abstraction by providing virtualization services. It requires manual configuration and management of virtual machines and physical servers.

  4. Scalability and Flexibility: Terraform offers scalability and flexibility in provisioning and managing infrastructure resources. It allows users to define and manage complex infrastructure configurations, handle dependencies between resources, and scale resources up or down based on demand. VMware vSphere provides virtualization services that enable scaling and resource management of virtual machines, but it is limited to the capabilities offered by the virtualization platform.

  5. Community and Ecosystem: Terraform has a vast and active community of users and contributors. It has a rich ecosystem of providers that support various cloud platforms, allowing users to leverage the capabilities of different cloud providers using a unified workflow. VMware vSphere also has a strong user community but is primarily focused on the VMware ecosystem. It offers specific integrations and features that cater to the needs of VMware-based infrastructure.

  6. Cost and Licensing: Terraform is an open-source tool that is freely available for use by individuals and organizations. It has no licensing costs associated with it but may require additional costs for using cloud resources or services. VMware vSphere, on the other hand, is a commercial product that requires licensing. It has different editions and pricing models based on the features and capabilities required by the organization.

In Summary, Terraform offers a cloud-agnostic Infrastructure as Code (IaC) approach with high levels of scalability, flexibility, and a rich ecosystem. VMware vSphere, on the other hand, is a VMware-specific virtualization platform with lower levels of abstraction, native integrations, and a focus on virtualization services.

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Advice on VMware vSphere, Terraform

Sung Won
Sung Won

Nov 4, 2019

DecidedonGoogle Cloud IoT CoreGoogle Cloud IoT CoreTerraformTerraformPythonPython

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

2.25M views2.25M
Comments
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

Detailed Comparison

VMware vSphere
VMware vSphere
Terraform
Terraform

vSphere is the world’s leading server virtualization platform. Run fewer servers and reduce capital and operating costs using VMware vSphere to build a cloud computing infrastructure.

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.

Powerful Server Virtualization;Network Services;Efficient Storage;Consistent Automation;High Availability;Robust Security
Infrastructure as Code: Infrastructure is described using a high-level configuration syntax. This allows a blueprint of your datacenter to be versioned and treated as you would any other code. Additionally, infrastructure can be shared and re-used.;Execution Plans: Terraform has a "planning" step where it generates an execution plan. The execution plan shows what Terraform will do when you call apply. This lets you avoid any surprises when Terraform manipulates infrastructure.;Resource Graph: Terraform builds a graph of all your resources, and parallelizes the creation and modification of any non-dependent resources. Because of this, Terraform builds infrastructure as efficiently as possible, and operators get insight into dependencies in their infrastructure.;Change Automation: Complex changesets can be applied to your infrastructure with minimal human interaction. With the previously mentioned execution plan and resource graph, you know exactly what Terraform will change and in what order, avoiding many possible human errors
Statistics
GitHub Stars
-
GitHub Stars
47.0K
GitHub Forks
-
GitHub Forks
10.1K
Stacks
608
Stacks
22.9K
Followers
550
Followers
14.7K
Votes
30
Votes
344
Pros & Cons
Pros
  • 8
    Strong host isolation
  • 6
    Industry leader
  • 5
    Great VM management (HA,FT,...)
  • 4
    Easy to use
  • 2
    Great Networking
Cons
  • 9
    Price
Pros
  • 121
    Infrastructure as code
  • 73
    Declarative syntax
  • 45
    Planning
  • 28
    Simple
  • 24
    Parallelism
Cons
  • 1
    Doesn't have full support to GKE
Integrations
No integrations available
Heroku
Heroku
Amazon EC2
Amazon EC2
CloudFlare
CloudFlare
DNSimple
DNSimple
Microsoft Azure
Microsoft Azure
Consul
Consul
Equinix Metal
Equinix Metal
DigitalOcean
DigitalOcean
OpenStack
OpenStack
Google Compute Engine
Google Compute Engine

What are some alternatives to VMware vSphere, Terraform?

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.

VirtualBox

VirtualBox

VirtualBox is a powerful x86 and AMD64/Intel64 virtualization product for enterprise as well as home use. Not only is VirtualBox an extremely feature rich, high performance product for enterprise customers, it is also the only professional solution that is freely available as Open Source Software under the terms of the GNU General Public License (GPL) version 2.

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.

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

Proxmox VE

Proxmox VE

It is a complete open-source platform for all-inclusive enterprise virtualization that tightly integrates KVM hypervisor and LXC containers, software-defined storage and networking functionality on a single platform, and easily manages high availability clusters and disaster recovery tools with the built-in web management interface.

cPanel

cPanel

It is an industry leading hosting platform with world-class support. It is globally empowering hosting providers through fully-automated point-and-click hosting platform by hosting-centric professionals

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