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  5. Apache CloudStack vs Terraform

Apache CloudStack vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

Apache CloudStack
Apache CloudStack
Stacks66
Followers250
Votes95
GitHub Stars2.7K
Forks1.2K
Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K

Apache CloudStack vs Terraform: What are the differences?

Introduction:

Apache CloudStack and Terraform are both popular infrastructure provisioning tools used in cloud computing. While they share some similarities in terms of their ability to automate and manage infrastructure resources, there are key differences between the two.

1. Scalability and Complexity:

Apache CloudStack is designed for large-scale deployments and supports a wide range of infrastructure components, including networking, storage, and virtualization. It offers a comprehensive set of features for managing and scaling cloud infrastructure but can be more complex to set up and configure compared to Terraform.

On the other hand, Terraform is known for its simplicity and ease of use. It focuses on infrastructure as code, allowing users to define and provision resources using declarative configuration files. While Terraform may be easier to get started with, it may lack some of the advanced features and scalability options provided by Apache CloudStack.

2. Provider Ecosystem:

Apache CloudStack has its ecosystem of providers, allowing users to integrate with various hypervisors and cloud platforms such as VMware, XenServer, and AWS. It provides a unified management interface for multiple providers, making it suitable for hybrid cloud environments.

Terraform, on the other hand, has a vast and growing provider ecosystem. It supports various cloud providers like AWS, Azure, and Google Cloud Platform, as well as infrastructure components such as DNS, databases, and load balancers. This wide range of providers makes Terraform more versatile for users who require multi-cloud or multi-platform deployments.

3. Community and Documentation:

Apache CloudStack has a well-established open-source community with active development and regular updates. It has been in existence for a longer time and has a mature codebase. This contributes to the availability of extensive documentation and a large community of users and contributors.

Terraform, while also an open-source project, has gained significant popularity in recent years. It has a thriving community and benefits from its integration with HashiCorp's suite of tools. However, the relative newness of Terraform compared to Apache CloudStack means that its documentation and community resources may still be catching up in terms of depth and breadth.

4. Complexity of Infrastructure:

Apache CloudStack is designed to handle complex infrastructure setups, including multi-tier applications, SDN configurations, and advanced networking topologies. It provides features like virtual routers, network isolation, and load balancing that are essential for such deployments.

Terraform, on the other hand, focuses primarily on infrastructure provisioning, and while it can handle complex setups to a certain extent, it may require additional tools or scripts for advanced networking and application-specific configurations. Terraform's strength lies in its simplicity and ease of use for relatively straightforward infrastructure deployments.

5. Customizability and Extensibility:

Apache CloudStack offers more flexibility and customization options through its plugin architecture and API. Users can extend its functionality, integrate with their existing systems, and create custom features. This makes Apache CloudStack suitable for organizations with specific requirements and the need for extensive customization.

Terraform, while not as extensible as Apache CloudStack, provides a vast number of community-contributed modules and resources that can be used to build and provision infrastructure. It emphasizes the use of reusable modules and follows a modular design approach. This makes it easier to maintain and manage infrastructure code, especially in larger organizations.

6. Maturity and Stability:

Apache CloudStack has been in development for a longer period and is widely adopted by enterprises and service providers. It has undergone multiple releases and has a stable release cycle, making it suitable for production environments with demanding requirements.

Terraform, while also widely used, is a comparatively newer tool and has a more rapid release cycle. This can lead to breaking changes between versions, which may require updates to configuration code. While Terraform is generally stable and suitable for production use, its relative newness compared to Apache CloudStack should be considered when making infrastructure decisions.

In Summary, Apache CloudStack is designed for large-scale deployments with advanced features and scalability options, while Terraform focuses on simplicity and ease of use, with a wide range of cloud provider integrations. Apache CloudStack offers more customization options and is suitable for complex infrastructure setups, while Terraform emphasizes modularity and code reusability. Both tools have active communities and strong documentation, but Apache CloudStack benefits from its maturity and stability, while Terraform offers a broader provider ecosystem.

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Advice on Apache CloudStack, 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

Apache CloudStack
Apache CloudStack
Terraform
Terraform

CloudStack is open source software designed to deploy and manage large networks of virtual machines, as a highly available, highly scalable Infrastructure as a Service (IaaS) cloud computing platform.

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.

Works with hosts running KVM, XenServer/XCP-ng, VMware ESXi with vSphere and HyperV; Provides a friendly Web-based UI for managing the cloud; Provides a native API; Manages storage for instances running on the hypervisors (primary storage) as well as templates, snapshots, and ISO images (secondary storage); Orchestrates network services from the data link layer (L2) to some application layer (L7) services, such as DHCP, NAT, firewall, VPN, and so on; Accounting of network, compute, and storage resources; Multi-tenancy/account separation; User management; Supports Kubernetes, Terraform, Ansible
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
2.7K
GitHub Stars
47.0K
GitHub Forks
1.2K
GitHub Forks
10.1K
Stacks
66
Stacks
22.9K
Followers
250
Followers
14.7K
Votes
95
Votes
344
Pros & Cons
Pros
  • 15
    Apache CloudStack works
  • 13
    Multi hypervisor
  • 10
    Easy setup
  • 9
    Open architecture
  • 9
    Real open source software
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 Apache CloudStack, 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.

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.

OpenStack

OpenStack

OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface.

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

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

Webmin

Webmin

It is a web-based interface for system administration for Unix. Using any modern web browser, you can setup user accounts, Apache, DNS, file sharing and much more. It removes the need to manually edit Unix configuration files.

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