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  1. Stackups
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  4. Code Collaboration Version Control
  5. Ansible vs Beanstalk

Ansible vs Beanstalk

OverviewDecisionsComparisonAlternatives

Overview

Beanstalk
Beanstalk
Stacks85
Followers270
Votes51
Ansible
Ansible
Stacks19.5K
Followers15.6K
Votes1.3K
GitHub Stars66.9K
Forks24.1K

Ansible vs Beanstalk: What are the differences?

Introduction: In the world of DevOps, understanding the key differences between Ansible and Beanstalk can help teams make informed decisions on which tool to use for managing their infrastructure and applications.

  1. Configuration Management: Ansible is a powerful automation tool that focuses on configuration management. It allows users to define the desired state of their systems using playbooks written in YAML, which are then executed on target hosts. On the other hand, AWS Elastic Beanstalk is a platform as a service (PaaS) that automatically handles the deployment, scaling, and monitoring of applications. It abstracts away the underlying infrastructure, making it easier for developers to focus on writing code rather than managing servers.

  2. Customization and Flexibility: Ansible offers high levels of customization and flexibility, allowing users to define their infrastructure and application deployment processes in a highly specific way. Users have full control over the configuration and can customize it to suit their unique needs. In contrast, AWS Elastic Beanstalk provides a more opinionated approach, which may limit the level of customization that developers can apply. It follows a predefined set of configurations and rules, making it easier to use but potentially less flexible for advanced use cases.

  3. Scalability: Ansible is well-suited for small to medium-sized infrastructures where scalability is not the primary concern. It can easily manage configurations across a few dozen to a few hundred servers efficiently. In contrast, AWS Elastic Beanstalk is designed for rapidly scaling applications that need to handle fluctuations in traffic. It automates the process of scaling instances based on demand, making it ideal for applications that require high availability and scalability.

  4. Integration with Cloud Providers: Ansible is a versatile tool that can be used to manage infrastructure across various cloud providers, as well as on-premises servers. It provides a consistent interface for managing different environments, making it popular among organizations with hybrid cloud setups. On the other hand, AWS Elastic Beanstalk is tightly integrated with AWS services, making it easy to deploy applications on the AWS cloud but potentially limiting its compatibility with other cloud providers.

  5. Learning Curve and Ease of Use: Ansible has a relatively gentle learning curve, especially for those familiar with YAML, making it accessible to beginners and experienced users alike. Its agentless architecture and simple syntax make it easy to get started with automation tasks. In contrast, AWS Elastic Beanstalk may require learning specific AWS concepts and tools, which could pose a steeper learning curve for users new to the AWS ecosystem.

In Summary, understanding the key differences between Ansible and Beanstalk in terms of configuration management, customization, scalability, integration, and ease of use can help teams make informed decisions on which tool to use for their infrastructure and application needs.

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Advice on Beanstalk, Ansible

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

Beanstalk
Beanstalk
Ansible
Ansible

A single process to commit code, review with the team, and deploy the final result to your customers.

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.

Setup and manage repositories- Import or create Subversion and Git repositories that are instantly available to your team.;Invite team members, partners & clients- Restrict access to certain repos and provide read-only or full read/write permissions.;Browse files and changes- Every version of every file you’ve committed to Beanstalk is just a click away. See a timeline of who made changes and view the differences between revisions. Syntax highlighting for over 70 languages.;Preview, Compare & Share- Instantly preview HTML and image files in Beanstalk, compare versions side by side, and share them with your team, colleagues or clients, even if they don’t have a Beanstalk account.;Code Editing- Make and commit changes directly in the web interface of Beanstalk.;Blame Tool- View the line-by-line history of every file using Beanstalk's blame tool. Quickly see who was responsible for each line of code and which revision it belonged to.;Instantly deploy static assets from Beanstalk to your development, staging and production servers via Amazon S3, Rackspace Cloud Files, Heroku, DreamObjects;
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.
Statistics
GitHub Stars
-
GitHub Stars
66.9K
GitHub Forks
-
GitHub Forks
24.1K
Stacks
85
Stacks
19.5K
Followers
270
Followers
15.6K
Votes
51
Votes
1.3K
Pros & Cons
Pros
  • 14
    Ftp deploy
  • 9
    Deployment
  • 8
    Easy to navigate
  • 4
    HipChat Integration
  • 4
    Integrations
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
Integrations
Amazon S3
Amazon S3
Amazon CloudFront
Amazon CloudFront
Basecamp
Basecamp
Campfire
Campfire
FogBugz
FogBugz
Lighthouse
Lighthouse
Harvest
Harvest
Zendesk
Zendesk
HipChat
HipChat
Bugify
Bugify
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

What are some alternatives to Beanstalk, Ansible?

GitHub

GitHub

GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.

Bitbucket

Bitbucket

Bitbucket gives teams one place to plan projects, collaborate on code, test and deploy, all with free private Git repositories. Teams choose Bitbucket because it has a superior Jira integration, built-in CI/CD, & is free for up to 5 users.

GitLab

GitLab

GitLab offers git repository management, code reviews, issue tracking, activity feeds and wikis. Enterprises install GitLab on-premise and connect it with LDAP and Active Directory servers for secure authentication and authorization. A single GitLab server can handle more than 25,000 users but it is also possible to create a high availability setup with multiple active servers.

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.

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.

RhodeCode

RhodeCode

RhodeCode provides centralized control over distributed code repositories. Developers get code review tools and custom APIs that work in Mercurial, Git & SVN. Firms get unified security and user control so that their CTOs can sleep at night

AWS CodeCommit

AWS CodeCommit

CodeCommit eliminates the need to operate your own source control system or worry about scaling its infrastructure. You can use CodeCommit to securely store anything from source code to binaries, and it works seamlessly with your existing Git tools.

Gogs

Gogs

The goal of this project is to make the easiest, fastest and most painless way to set up a self-hosted Git service. With Go, this can be done in independent binary distribution across ALL platforms that Go supports, including Linux, Mac OS X, and Windows.

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