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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.
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.
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.
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.
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.
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.
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.
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.
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.
AdvantagesTerraform 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.
DisadvantagesSoftware 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.
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.
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
Pros of Terraform
- Infrastructure as code122
- Declarative syntax73
- Planning45
- Simple28
- Parallelism24
- Well-documented8
- Cloud agnostic8
- It's like coding your infrastructure in simple English6
- Immutable infrastructure6
- Platform agnostic5
- Extendable4
- Automation4
- Automates infrastructure deployments4
- Portability4
- Lightweight2
- Scales to hundreds of hosts2
Pros of VMware vSphere
- Strong host isolation8
- Industry leader6
- Great VM management (HA,FT,...)5
- Easy to use4
- Feature rich2
- Great Networking2
- Free1
- Running in background1
- Can be setup on single physical server1
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Cons of Terraform
- Doesn't have full support to GKE1
Cons of VMware vSphere
- Price8