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

Claudia vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K
Claudia
Claudia
Stacks29
Followers55
Votes2
GitHub Stars3.9K
Forks277

Claudia vs Terraform: What are the differences?

Introduction:

Both Claudia and Terraform are popular tools used in the field of infrastructure automation. Claudia is a specifically designed tool for deploying and managing serverless applications on AWS, while Terraform is a more general-purpose infrastructure provisioning tool that supports multiple cloud providers. Despite their similarities, there are several key differences between Claudia and Terraform that set them apart.

  1. Declarative vs Imperative: One major difference between Claudia and Terraform is their approach to infrastructure provisioning. Claudia follows a declarative approach, where users define the desired state of their serverless resources and Claudia ensures that the current state matches the desired state. On the other hand, Terraform follows an imperative approach, where users define the sequence of steps to provision and manage infrastructure resources.

  2. Domain-Specific vs General-Purpose: Another significant difference is the scope and focus of these tools. Claudia is specifically designed for serverless deployments on AWS, providing convenient abstractions and optimizations for serverless applications. In contrast, Terraform is a more general-purpose tool that supports multiple cloud providers, allowing users to manage various types of infrastructure resources beyond serverless.

  3. Configuration Language: Claudia uses an AWS-specific configuration language, allowing users to define their serverless resources using a concise syntax tailored for the AWS ecosystem. In contrast, Terraform uses its own configuration language called HashiCorp Configuration Language (HCL). This language is designed to be provider-agnostic, enabling users to define infrastructure resources using a consistent format across different cloud providers.

  4. Managed Infrastructure Resources: One key difference between Claudia and Terraform is the level of abstraction provided for managing infrastructure resources. Claudia abstracts away many AWS-specific details and provides higher-level constructs specifically tailored for serverless applications, making it easier for developers to focus on application logic. Terraform, on the other hand, provides a lower-level control over infrastructure resources, allowing users to define and manage resources at a more granular level.

  5. Integration with Existing Tools and Workflows: Claudia is highly integrated with other AWS services and tools, leveraging AWS Lambda, API Gateway, and other services as building blocks for serverless applications. This tight integration enables developers to seamlessly utilize existing AWS tooling and workflows. In contrast, Terraform is a standalone tool that can be used with any cloud provider, allowing for more flexibility in integrating with existing tools and workflows that may span multiple cloud platforms.

  6. Community and Ecosystem: Both Claudia and Terraform have active and vibrant communities, but their focus and ecosystem differ. Claudia's community primarily revolves around AWS serverless application development, with a variety of frameworks, libraries, and resources geared towards building serverless applications on AWS. Terraform, on the other hand, has a broader community spanning multiple cloud providers, offering a wide range of modules, plugins, and integrations for provisioning and managing infrastructure across different platforms.

In summary, Claudia and Terraform differ in their provisioning approach (declarative vs imperative), scope and focus (domain-specific vs general-purpose), configuration language (AWS-specific vs provider-agnostic), level of abstraction (higher-level constructs vs granular control), integration with existing tools (tight integration with AWS vs flexible multi-cloud support), and community/ecosystem (AWS serverless-centric vs broader multi-cloud).

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Advice on Terraform, Claudia

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
Claudia
Claudia

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.

Claudia helps you deploy Node.js microservices to Amazon Web Services easily. It automates and simplifies deployment workflows and error prone tasks, so you can focus on important problems and not have to worry about AWS service quirks.

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
Create or update Lambda functions and Web APIs from Node.js projects hassle-free;Automatically configure the Lambda function for commonly useful tasks;Automatically set up API Gateway resources the way Javascript developers expect them to work
Statistics
GitHub Stars
47.0K
GitHub Stars
3.9K
GitHub Forks
10.1K
GitHub Forks
277
Stacks
22.9K
Stacks
29
Followers
14.7K
Followers
55
Votes
344
Votes
2
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
  • 2
    Easy setup
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
Node.js
Node.js
AWS Lambda
AWS Lambda
Amazon API Gateway
Amazon API Gateway

What are some alternatives to Terraform, Claudia?

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.

Istio

Istio

Istio is an open platform for providing a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies and aggregate telemetry data. Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes, Mesos, etc.

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

Azure Service Fabric

Azure Service Fabric

Azure Service Fabric is a distributed systems platform that makes it easy to package, deploy, and manage scalable and reliable microservices. Service Fabric addresses the significant challenges in developing and managing cloud apps.

Moleculer

Moleculer

It is a fault tolerant framework. It has built-in load balancer, circuit breaker, retries, timeout and bulkhead features. It is open source and free of charge project.

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