AWS CodeDeploy vs Puppet Labs

Overview

Puppet Labs

Stacks1.3K

Followers793

Votes227

GitHub Stars7.7K

Forks2.2K

AWS CodeDeploy

Stacks380

Followers624

Votes38

AWS CodeDeploy vs Puppet Labs: What are the differences?

Introduction:

AWS CodeDeploy and Puppet Labs are both popular tools in the DevOps realm, but they differ in various aspects that cater to different deployment and automation needs.

Deployment Process: AWS CodeDeploy focuses on automating the deployment process in a flexible and automated manner, allowing users to deploy applications across various platforms simultaneously with minimal interruptions. On the other hand, Puppet Labs primarily concentrates on configuration management, ensuring that the infrastructure is consistent and stays in the desired state.
Agent-based vs. Agentless: AWS CodeDeploy requires an agent to be installed on the target instances to facilitate deployment, whereas Puppet Labs operates agentless, eliminating the need for agents and relying on secure remote access protocols for configuration management.
Scalability: AWS CodeDeploy is highly scalable and can manage deployments for a large number of instances simultaneously, making it suitable for organizations with expansive infrastructure needs. Puppet Labs, on the other hand, may face challenges in scalability due to its agentless architecture and potential performance bottlenecks with a high number of nodes.
Support for Multi-Cloud Environments: Both AWS CodeDeploy and Puppet Labs support multi-cloud environments, but AWS CodeDeploy is specifically designed to seamlessly integrate with AWS services and is optimized for deployments on AWS infrastructure. In contrast, Puppet Labs offers more flexibility in managing configurations across different cloud providers and on-premises servers, making it more versatile for diverse deployment scenarios.
User Interface: AWS CodeDeploy provides a user-friendly web interface that simplifies the deployment process and allows users to monitor and manage deployments easily. Puppet Labs, on the other hand, relies heavily on a configuration language (Puppet DSL) and manifests for defining infrastructure configurations, which may require a steeper learning curve for users without prior experience.
Application Lifecycle Management: AWS CodeDeploy primarily handles the deployment aspect of application lifecycle management, focusing on the automation of deployment processes from code to production. Puppet Labs, on the other hand, offers comprehensive configuration management capabilities that extend beyond deployment to ensure continuous compliance, security, and infrastructure orchestration throughout the application lifecycle.

In Summary, AWS CodeDeploy excels in automated deployment processes and scalability on AWS infrastructure, while Puppet Labs focuses on configuration management and versatility across multi-cloud environments.

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Advice on Puppet Labs, AWS CodeDeploy

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

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Detailed Comparison

Puppet Labs	AWS CodeDeploy
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 CodeDeploy is a service that automates code deployments to Amazon EC2 instances. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications.
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.;Configuration Management- Puppet Enterprise's declarative, model-based approach automates repetitive tasks and eliminates configuration drift. You define the desired state of your infrastructure, and Puppet Enterprise enforces this state, freeing you to work on tougher projects.;Orchestration- Quickly deploy critical updates, like security patches, across hundreds of servers in seconds, or proactively initiate Puppet runs to update configurations and report changes. Puppet Enterprise allows you to orchestrate controlled, multi-step operations to targeted collections of nodes, giving you complete control over infrastructure changes.;Reporting- Get visibility into your infrastructure, browse resources, and view reports that help you manage your configuration. Puppet Enterprise provides node hardware and software inventory, Puppet run change reports, and node configuration graphs via the product's console or 3rd party APIs.	AWS CodeDeploy fully automates your code deployments, allowing you to deploy reliably and rapidly;AWS CodeDeploy helps maximize your application availability by performing rolling updates across your Amazon EC2 instances and tracking application health according to configurable rules;AWS CodeDeploy allows you to easily launch and track the status of your deployments through the AWS Management Console or the AWS CLI;AWS CodeDeploy is platform and language agnostic and works with any application. You can easily reuse your existing setup code
Statistics
GitHub Stars 7.7K	GitHub Stars -
GitHub Forks 2.2K	GitHub Forks -
Stacks 1.3K	Stacks 380
Followers 793	Followers 624
Votes 227	Votes 38
Pros & Cons
Pros 52 Devops 44 Automate it 26 Reusable components 21 Dynamic and idempotent server configuration 18 Great community Cons 3 Steep learning curve 1 Customs types idempotence	Pros 17 Automates code deployments 9 Backed by Amazon 7 Adds autoscaling lifecycle hooks 5 Git integration
Integrations
No integrations available	CircleCI Codeship GitHub Jenkins Solano CI Travis CI Amazon EC2 Ansible Chef Salt

What are some alternatives to Puppet Labs, AWS CodeDeploy?

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 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

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 is a remote server automation tool. It supports the scripting and execution of arbitrary tasks, and includes a set of sane-default deployment workflows.

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.

Octopus Deploy

Octopus Deploy helps teams to manage releases, automate deployments, and operate applications with automated runbooks. It's free for small teams.

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.

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

Distelli

Build, test, and deploy your code from GitHub and BitBucket (or no repository at all) to any server in the world regardless of provider. Distelli customers iterate and ship faster with complete transparency.

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

Related Comparisons

AWS CodeDeploy vs Puppet Labs: What are the differences?

Introduction:

AWS CodeDeploy and Puppet Labs are both popular tools in the DevOps realm, but they differ in various aspects that cater to different deployment and automation needs.

Deployment Process: AWS CodeDeploy focuses on automating the deployment process in a flexible and automated manner, allowing users to deploy applications across various platforms simultaneously with minimal interruptions. On the other hand, Puppet Labs primarily concentrates on configuration management, ensuring that the infrastructure is consistent and stays in the desired state.
Agent-based vs. Agentless: AWS CodeDeploy requires an agent to be installed on the target instances to facilitate deployment, whereas Puppet Labs operates agentless, eliminating the need for agents and relying on secure remote access protocols for configuration management.
Scalability: AWS CodeDeploy is highly scalable and can manage deployments for a large number of instances simultaneously, making it suitable for organizations with expansive infrastructure needs. Puppet Labs, on the other hand, may face challenges in scalability due to its agentless architecture and potential performance bottlenecks with a high number of nodes.
Support for Multi-Cloud Environments: Both AWS CodeDeploy and Puppet Labs support multi-cloud environments, but AWS CodeDeploy is specifically designed to seamlessly integrate with AWS services and is optimized for deployments on AWS infrastructure. In contrast, Puppet Labs offers more flexibility in managing configurations across different cloud providers and on-premises servers, making it more versatile for diverse deployment scenarios.
User Interface: AWS CodeDeploy provides a user-friendly web interface that simplifies the deployment process and allows users to monitor and manage deployments easily. Puppet Labs, on the other hand, relies heavily on a configuration language (Puppet DSL) and manifests for defining infrastructure configurations, which may require a steeper learning curve for users without prior experience.
Application Lifecycle Management: AWS CodeDeploy primarily handles the deployment aspect of application lifecycle management, focusing on the automation of deployment processes from code to production. Puppet Labs, on the other hand, offers comprehensive configuration management capabilities that extend beyond deployment to ensure continuous compliance, security, and infrastructure orchestration throughout the application lifecycle.

AWS CodeDeploy vs Puppet Labs

Overview