AWS OpsWorks vs Puppet Labs: What are the differences?
Developers describe AWS OpsWorks as "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 . On the other hand, Puppet Labs is detailed as "Server automation framework and application". 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.
AWS OpsWorks and Puppet Labs can be categorized as "Server Configuration and Automation" tools.
Some of the features offered by AWS OpsWorks are:
- 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.
On the other hand, Puppet Labs provides the following key features:
- Insight- Puppet Enterprise's event inspector gives immediate and actionable insight into your environment, showing you what changed, where and how by classes, nodes and resources.
- Discovery- Puppet Enterprise delivers a dynamic and fully-pluggable discovery service that allows you to take advantage of any data source or real-time query results to quickly locate, identify and group cloud nodes.
- Provisioning- Automatically provision and configure bare metal, virtual, and private or public cloud capacity, all from a single pane. Save time getting your cloud projects off the ground by reusing the same configuration modules you set up for your physical deployments.
"Devops" is the primary reason why developers consider AWS OpsWorks over the competitors, whereas "Devops" was stated as the key factor in picking Puppet Labs.
Puppet Labs is an open source tool with 5.37K GitHub stars and 2.1K GitHub forks. Here's a link to Puppet Labs's open source repository on GitHub.
According to the StackShare community, Puppet Labs has a broader approval, being mentioned in 180 company stacks & 49 developers stacks; compared to AWS OpsWorks, which is listed in 73 company stacks and 19 developer stacks.
What is AWS OpsWorks?
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I'm using puppet to configure my servers. This makes it really simple to ensure that I have the same environment. There is a bit of a learning curve, but the repeatability definitely makes it worth the effort. I found puppet to be a little easier to pick up relative to chef, but I've used both. They're both great solutions.
I really like that there are a lot of modules available on the puppet forge that are being actively maintained.
We provision all servers with puppet. We have one central Puppet server which uses puppet modules referenced by a Puppetfile. Those puppet modules are partly from forge and partly self written.
All modules which are self written, have to be tested using rspec-puppet and beaker.
Opstax uses puppet for role/profile based configuration management and the distribution of small/static code.
Configures or servers and allows us to be region independent we have 5 regions across the globe.