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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Server Configuration And Automation
  5. StackStorm vs Terraform

StackStorm vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K
StackStorm
StackStorm
Stacks80
Followers186
Votes31
GitHub Stars6.4K
Forks774

StackStorm vs Terraform: What are the differences?

Introduction

In this article, we will explore the key differences between StackStorm and Terraform.

  1. Scalability: StackStorm is a powerful event-driven automation platform that focuses on automating workflows and tasks across different systems and domains. It provides advanced features like sensor framework, rules engine, and integration packs, which enable seamless scaling and extensibility. On the other hand, Terraform is an infrastructure-as-code (IAC) tool that is primarily designed for managing and provisioning infrastructure resources. It excels in managing cloud resources, offering scalability and reliability in deploying and managing large-scale infrastructure projects.

  2. Focus: StackStorm primarily focuses on automation, event-driven workflows, and integrations. It excels in automating repetitive tasks, orchestrating complex workflows, and integrating various systems. It provides a powerful rule engine, allowing users to trigger actions based on predefined rules and events. In contrast, Terraform focuses on managing infrastructure resources. It allows users to define infrastructure resources in a declarative configuration language and provides a consistent way to deploy and manage those resources across multiple cloud providers or on-premises infrastructure.

  3. Workflow Automation vs. Infrastructure Provisioning: StackStorm is more suited for workflow automation and task management, where it excels in event-driven automation and integrating various systems. It provides a wide range of integrations with popular tools and platforms, making it a flexible and powerful automation solution. Terraform, on the other hand, is designed for provisioning and managing infrastructure resources. It focuses on infrastructure-as-code and provides a unified interface to define and manage infrastructure resources across multiple cloud providers or on-premises infrastructure.

  4. Community and Ecosystem: StackStorm has an active and growing community, with a wide range of pre-built integrations and automation packs available. It provides an open-source platform with a strong focus on community contributions. Terraform also has a vibrant community and a rich ecosystem of providers, allowing users to manage resources across different cloud providers. It benefits from being part of HashiCorp's suite of tools, which includes popular products like Vault and Consul.

  5. Ease of Use and Learning Curve: StackStorm offers a user-friendly and intuitive web-based interface, making it easy to create and manage workflows and automate tasks. It provides a robust set of documentation, guides, and examples, enabling users to quickly get up to speed with the platform. On the other hand, Terraform has a slightly steeper learning curve, especially for users new to infrastructure-as-code. It requires understanding the declarative configuration language and the concepts of resource provisioning and management.

  6. Extensibility and Integration: StackStorm provides a comprehensive framework for integrating with different systems and platforms. It offers a wide range of integration packs that allow users to connect and interact with popular tools and services. Users can easily extend StackStorm's functionality by creating custom integrations or leveraging the existing ones. Terraform also supports integrations, but its primary focus is on managing infrastructure resources rather than deep integration with other systems.

Summary

In summary, StackStorm is a powerful automation platform that excels in event-driven workflows, task management, and system integrations, while Terraform is an infrastructure-as-code tool specifically designed for provisioning and managing infrastructure resources across different cloud providers or on-premises infrastructure. Both tools have their strengths and are suited for different use cases.

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Advice on Terraform, StackStorm

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

Terraform
Terraform
StackStorm
StackStorm

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.

StackStorm is a platform for integration and automation across services and tools. It ties together your existing infrastructure and application environment so you can more easily automate that environment -- with a particular focus on taking actions in response to events.

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
Automations tie events to actions you’d like to take, using a rules engine and, if you want, comprehensive workflow. Automations are your operational patterns summarized as code.;StackStorm automations work either by starting with your existing scripts – just add simple meta data – or by authoring the automations within StackStorm.;Automations are the heart of StackStorm – they allow you to share operational patterns, boost productivity, and automate away the routine.;CLI, REST API + Python Bindings
Statistics
GitHub Stars
47.0K
GitHub Stars
6.4K
GitHub Forks
10.1K
GitHub Forks
774
Stacks
22.9K
Stacks
80
Followers
14.7K
Followers
186
Votes
344
Votes
31
Pros & Cons
Pros
  • 121
    Infrastructure as code
  • 73
    Declarative syntax
  • 45
    Planning
  • 28
    Simple
  • 24
    Parallelism
Cons
  • 1
    Doesn't have full support to GKE
Pros
  • 7
    Auto-remediation
  • 5
    Integrations
  • 4
    Automation
  • 4
    Complex workflows
  • 3
    Open source
Cons
  • 3
    Complexity
  • 1
    There are not enough sources of information
Integrations
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
Mailgun
Mailgun
VMware vSphere
VMware vSphere
Rackspace Cloud Servers
Rackspace Cloud Servers
Vault
Vault
Octopus Deploy
Octopus Deploy
Ansible
Ansible
Duo
Duo
PhantomJS
PhantomJS
Yammer
Yammer
Cassandra
Cassandra

What are some alternatives to Terraform, StackStorm?

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.

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.

Mina

Mina

Mina works really fast because it's a deploy Bash script generator. It generates an entire procedure as a Bash script and runs it remotely in the server. Compare this to the likes of Vlad or Capistrano, where each command is run separately on their own SSH sessions. Mina only creates one SSH session per deploy, minimizing the SSH connection overhead.

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