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AWS OpsWorks
ByAWS OpsWorksAWS OpsWorks

AWS OpsWorks

#18in Continuous Deployment
Discussions1
Followers222
OverviewDiscussions1AdoptionAlternativesIntegrations
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What is 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

AWS OpsWorks is a tool in the Continuous Deployment category of a tech stack.

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.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.

AWS OpsWorks Pros & Cons

Pros of AWS OpsWorks

  • ✓Devops
  • ✓Cloud management

Cons of AWS OpsWorks

No cons listed yet.

AWS OpsWorks Alternatives & Comparisons

What are some alternatives to AWS OpsWorks?

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.

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.

Dotenv

Dotenv

It is a zero-dependency module that loads environment variables from a .env file into process.env. Storing configuration in the environment separate from code is based on The Twelve-Factor App methodology.

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.

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.

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AWS OpsWorks Integrations

SignalFx are some of the popular tools that integrate with AWS OpsWorks. Here's a list of all 1 tools that integrate with AWS OpsWorks.

SignalFx
SignalFx

AWS OpsWorks Discussions

Discover why developers choose AWS OpsWorks. Read real-world technical decisions and stack choices from the StackShare community.

Jake Stein
Jake Stein

CEO at Stitch

Sep 13, 2018

Needs adviceonGolangGolangAmazon RDSAmazon RDSAmazon S3Amazon S3

Stitch is run entirely on AWS. All of our transactional databases are run with Amazon RDS, and we rely on Amazon S3 for data persistence in various stages of our pipeline. Our product integrates with Amazon Redshift as a data destination, and we also use Redshift as an internal data warehouse (powered by Stitch, of course).

The majority of our services run on stateless Amazon EC2 instances that are managed by AWS OpsWorks. We recently introduced Kubernetes into our infrastructure to run the scheduled jobs that execute Singer code to extract data from various sources. Although we tend to be wary of shiny new toys, Kubernetes has proven to be a good fit for this problem, and its stability, strong community and helpful tooling have made it easy for us to incorporate into our operations.

While we continue to be happy with Clojure for our internal services, we felt that its relatively narrow adoption could impede Singer's growth. We chose Python both because it is well suited to the task, and it seems to have reached critical mass among data engineers. All that being said, the Singer spec is language agnostic, and integrations and libraries have been developed in JavaScript, Golang, and Clojure.

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