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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Server Configuration And Automation
  5. Ansible vs Cloudify

Ansible vs Cloudify

OverviewDecisionsComparisonAlternatives

Overview

Ansible
Ansible
Stacks19.5K
Followers15.6K
Votes1.3K
GitHub Stars66.9K
Forks24.1K
Cloudify
Cloudify
Stacks15
Followers19
Votes0

Ansible vs Cloudify: What are the differences?

Introduction In the realm of automation and orchestration tools, Ansible and Cloudify stand out as popular choices for managing infrastructure and applications. Both tools offer unique features and capabilities that cater to different use cases and preferences.

1. Architecture Approach: Ansible follows an agentless architecture, where it pushes small programs, called modules, to the target machines to execute tasks remotely. On the other hand, Cloudify utilizes a Node.js-based agent called Cloudify Manager that runs on each target node to manage the lifecycle of applications and services.

2. Scope of Orchestration: Ansible is primarily designed for configuration management and automation tasks, focusing on software provisioning, configuration, and deployment. In contrast, Cloudify specializes in orchestration and automation of complex, multi-tier applications and services, providing features for defining dependencies, scaling, and managing workflows.

3. Programming Language: Ansible playbooks are written in YAML, a human-readable data serialization language, making it easy to understand and maintain configuration files. In contrast, Cloudify uses TOSCA (Topology and Orchestration Specification for Cloud Applications), which is a standard language for defining complex, distributed applications and services.

4. Community Support: Ansible boasts a large and active community that contributes to its extensive collection of pre-built modules and playbooks, simplifying automation tasks for users. On the other hand, Cloudify has a smaller but focused community that specializes in orchestrating complex applications and cloud-native architectures.

5. Target Audience: Ansible is commonly used by system administrators, DevOps engineers, and IT professionals for managing configurations and automating repetitive tasks across a wide range of systems and environments. Cloudify, on the other hand, caters more to developers and cloud architects who require advanced orchestration capabilities for deploying and scaling applications in cloud environments.

6. Integration with Cloud Platforms: Ansible provides seamless integration with various cloud providers, making it easy to manage infrastructure and services on platforms like AWS, Azure, and Google Cloud. In comparison, Cloudify offers advanced cloud management features, such as supporting hybrid and multi-cloud environments, enabling users to orchestrate applications across different cloud platforms.

In Summary, Ansible focuses on configuration management and automation for a broad audience, while Cloudify specializes in orchestrating complex applications and services for developers and cloud architects.

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Advice on Ansible, Cloudify

Anonymous
Anonymous

Sep 17, 2019

Needs advice

I'm just getting started using Vagrant to help automate setting up local VMs to set up a Kubernetes cluster (development and experimentation only). (Yes, I do know about minikube)

I'm looking for a tool to help install software packages, setup users, etc..., on these VMs. I'm also fairly new to Ansible, Chef, and Puppet. What's a good one to start with to learn? I might decide to try all 3 at some point for my own curiosity.

The most important factors for me are simplicity, ease of use, shortest learning curve.

329k views329k
Comments

Detailed Comparison

Ansible
Ansible
Cloudify
Cloudify

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.

Orchestrate real apps on the cloud with Cloudify, an open source application management framework that allows users to manage even the most complex apps by automating their DevOps processes.

Ansible's natural automation language allows sysadmins, developers, and IT managers to complete automation projects in hours, not weeks.;Ansible uses SSH by default instead of requiring agents everywhere. Avoid extra open ports, improve security, eliminate "managing the management", and reclaim CPU cycles.;Ansible automates app deployment, configuration management, workflow orchestration, and even cloud provisioning all from one system.
Deployment Automation; Post-Deployment Automation; Application Monitoring; Scaling; Multi-Cloud Interoperability; Deployment Monitoring; Elastic Caching
Statistics
GitHub Stars
66.9K
GitHub Stars
-
GitHub Forks
24.1K
GitHub Forks
-
Stacks
19.5K
Stacks
15
Followers
15.6K
Followers
19
Votes
1.3K
Votes
0
Pros & Cons
Pros
  • 284
    Agentless
  • 210
    Great configuration
  • 199
    Simple
  • 176
    Powerful
  • 155
    Easy to learn
Cons
  • 8
    Dangerous
  • 5
    Hard to install
  • 3
    Doesn't Run on Windows
  • 3
    Backward compatibility
  • 3
    Bloated
No community feedback yet
Integrations
Nexmo
Nexmo
Stackdriver
Stackdriver
VMware vSphere
VMware vSphere
Docker
Docker
OpenStack
OpenStack
Amazon EC2
Amazon EC2
Rackspace Cloud Servers
Rackspace Cloud Servers
Google Compute Engine
Google Compute Engine
New Relic
New Relic
PagerDuty
PagerDuty
Jenkins
Jenkins
Kubernetes
Kubernetes
Terraform
Terraform
AWS CloudFormation
AWS CloudFormation

What are some alternatives to Ansible, Cloudify?

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

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.

Terraform

Terraform

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.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

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.

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