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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Server Configuration And Automation
  5. AWS OpsWorks vs Apache Aurora

AWS OpsWorks vs Apache Aurora

OverviewComparisonAlternatives

Overview

AWS OpsWorks
AWS OpsWorks
Stacks196
Followers222
Votes51
Apache Aurora
Apache Aurora
Stacks69
Followers96
Votes0

Apache Aurora vs AWS OpsWorks: What are the differences?

Apache Aurora: An Apcahe Mesos framework for scheduling jobs, originally developed by Twitter. Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation; AWS OpsWorks: Model and manage your entire application from load balancers to databases using Chef. 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 .

Apache Aurora belongs to "Cluster Management" category of the tech stack, while AWS OpsWorks can be primarily classified under "Server Configuration and Automation".

Some of the features offered by Apache Aurora are:

  • Deployment and scheduling of jobs
  • The abstraction a “job” to bundle and manage Mesos tasks
  • A rich DSL to define services

On the other hand, AWS OpsWorks provides the following key features:

  • AWS OpsWorks lets you model the different components of your application as layers in a stack, and maps your logical architecture to a physical architecture. You can see all resources associated with your application, and their status, in one place.
  • AWS OpsWorks provides an event-driven configuration system with rich deployment tools that allow you to efficiently manage your applications over their lifetime, including support for customizable deployments, rollback, partial deployments, patch management, automatic instance scaling, and auto healing.
  • AWS OpsWorks lets you define template configurations for your entire environment in a format that you can maintain and version just like your application source code.

Apache Aurora is an open source tool with 616 GitHub stars and 231 GitHub forks. Here's a link to Apache Aurora's open source repository on GitHub.

DeveloperTown, NoRedInk, and Third Iron are some of the popular companies that use AWS OpsWorks, whereas Apache Aurora is used by Twitter, Oscar Health, and Chartbeat. AWS OpsWorks has a broader approval, being mentioned in 73 company stacks & 19 developers stacks; compared to Apache Aurora, which is listed in 6 company stacks and 3 developer stacks.

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Detailed Comparison

AWS OpsWorks
AWS OpsWorks
Apache Aurora
Apache Aurora

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

Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.

AWS OpsWorks lets you model the different components of your application as layers in a stack, and maps your logical architecture to a physical architecture. You can see all resources associated with your application, and their status, in one place.;AWS OpsWorks provides an event-driven configuration system with rich deployment tools that allow you to efficiently manage your applications over their lifetime, including support for customizable deployments, rollback, partial deployments, patch management, automatic instance scaling, and auto healing.;AWS OpsWorks lets you define template configurations for your entire environment in a format that you can maintain and version just like your application source code.;AWS OpsWorks supports any software that has a scripted installation. Because OpsWorks uses the Chef framework, you can bring your own recipes or leverage hundreds of community-built configurations.
Deployment and scheduling of jobs;The abstraction a “job” to bundle and manage Mesos tasks;A rich DSL to define services;Health checking;Failure domain diversity;Instant provisioning
Statistics
Stacks
196
Stacks
69
Followers
222
Followers
96
Votes
51
Votes
0
Pros & Cons
Pros
  • 32
    Devops
  • 19
    Cloud management
No community feedback yet
Integrations
No integrations available
Apache Mesos
Apache Mesos
Vagrant
Vagrant

What are some alternatives to AWS OpsWorks, Apache Aurora?

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.

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.

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.

Nomad

Nomad

Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.

Apache Mesos

Apache Mesos

Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

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

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