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Introduction
You can carry out operations on target machines using puppet tasks. An executable file that you use to perform a single operation on the target is known as a "task." Do you wish to restart a certain service or upgrade a package, for instance? Create a Puppet task run to compel you to make such modifications whenever you want. In this article, we will be learning about Managing and Deploying Puppet codes. We will also discuss Managing environments with a control repository.
Managing and deploying Puppet code
Your Puppet code can be managed and deployed using the tools that are already included in Puppet Enterprise (PE). Code management technologies like Code Manager and r10k. It uses version control of your Puppet code and data to automatically install modules. It establishes and maintains environments, and pushes new code to your main server and compilers.
Code Manager and r10k are two tools you can use to manage and deploy Puppet code. PE includes both tools, so no additional installations are needed.
The suggested tool for managing Puppet code in PE is Code Manager. Your Puppet code and data are deployed automatically via Code Manager.
Code Manager creates environments, and installs modules. It also deploys the updated code to your principal server. And compilers without interfering with agent runs once you make code and data changes on your workstation and push them to your Git repository.
If you can't use Code Manager, you can manage your code with r10k.
Managing environments with a control repository
You need a Git version control repository in order to manage your Puppet code and data with Code Manager or r10k. Code management keeps the code and data needed to deploy your environments in this control repository.
Managing environment content with a Puppetfile
The Puppet code and data for each environment are specified in detail in a Puppetfile.
Managing code with Code Manager
Your Puppet code management and deployment are automated using Code Manager. Code Manager syncs the code to your main server and compilers when you push updates to your source control repository. This enables the updated code to be performed as quickly as feasible across all of your servers without affecting the current agent execution.
Managing code with r10k
A source control repository can be used to manage the configurations of your environments (such as production, testing, and development) using the code management application r10k. r10k requires you to manually deploy code changes from your control repository using the r10k command line tool on your primary server and all compilers, in contrast to Code Manager's automated deployments.
Managing environments with a control repository
You need a Git version control repository in order to manage your Puppet code and data with Code Manager or r10k. Code management keeps the code and data needed to deploy your environments in this control repository.
Control Repository Works
Version control is used by code management to track, maintain, and deploy your Puppet code and data. Code management leverages the control repository (or control repo), a Git repository, to manage environments in your infrastructure. Code management refreshes your environments as you make changes to the code and data in your control repository.
Environments are created and maintained via code management using the branches in your control repository. Code management produces a production environment, a development environment, and a testing environment, for instance, if your control repo contains production, development, and testing branches. Based on the contents of the relevant branch, each environment has its own copy of your Puppet code and data.
An essential component of a control repo is:
A remote repository for Git. On your version control host, this is where your control repository is kept.
Production is the default branch rather than the standard Git default of master. You might have multiple branches for development or testing environments, for example.
A puppet file for managing the content of your environment.
A file called environment.conf changes the $modulepath variable to permit environment-specific settings and modules.
Create a control repository from the Puppet Template
Base your control repository (also known as a control repo) on the Puppet control repo template to create a control repository that has the suggested organization, code examples, and configuration scripts. This sample addresses most client circumstances.
The Puppet control repo template includes useful Puppet code samples as well as the files required to set up a working code management control repo, such as:
Examples of simple code for creating roles and profiles.
A Puppetfile that uses modules as references to control content in your environments.
A hieradata directory and hiera configuration file sample.
A script called config version that displays the version of your control repo's code that was applied to your agents.
A directory called site-modules contains roles, profiles, and custom modules, as well as an environment.conf file that implements the config version script.
The control repo template must be copied to your development workstation, your remote Git repository must be specified as the default source, and you must push the template's contents to that source in order to utilize it. To use the template, you must also set up a private SSH key.
Create a private SSH key without a password to grant access to the control repository:
2. Run: to make the key accessible to the pe-puppet user.
puppet infrastructure configure
Set up your Git host to use the generated SSH public key. The specific procedure differs for each Git host, but it typically entails creating a user or service account and associating the SSH public key with it. Consult the documentation provided by your Git host for details on how to add SSH keys to your server (such as GitHub, BitBucket Server, or GitLab).
Make sure a README is not written when you establish the repository in your Git user account or organization. Create a repository called control-repo. Note the SSH URL for the repository.
Run yum install git to install Git if it isn't already installed.
Run: to duplicate the Puppet control-repo template.
Cd control-repo to move to the control-repo directory.
Use git remote to remove the origin to change the origin to the template repository.
Use the command git remote add origin to make your control repository the origin: SSH URL FOR YOUR CONTROL REPO.
Push the production branch's contents to your remote control repository from the cloned control repository: git push production origin.
Result
Now that the Puppet control-repo template has been used, your control repository exists. Following configuration, Code Manager detects and deploys your infrastructure changes when you make changes to your control repository on your workstation and push those changes to the remote control repository on your Git host.
You can now add and manage content, such as module code, to your Puppetfile by using the control-repo template.
Add an environment
Create new environments by building branches off of the production branch of your control repository.
Create a new branch called "NEW BRANCH NAME" in your control repository using the production branch as a base.
Git checkout NEW BRANCH NAME> will check out the new branch.
Save your modifications after editing the Puppetfile to keep track of the modules and data required for your new environment.
Use the command git commit -m "setup Puppetfile for new environment" to commit your modifications.
Use the command git push origin to push your changes.
Create your environments as usual, either by a webhook or the command line.
Results
As described in How the control repository works, code management recognizes the new environment in your control repository and starts managing it.
Delete an environment from code management
Delete the associated branch from your control repository to remove a managed environment from Code Manager or r10k.
Run git push origin —delete BRANCH TO DELETE> on the production branch of your control repo to remove the remote branch for the environment.
Run the command git branch -d BRANCH TO DELETE> to remove the local branch.
Install your environments as you normally would, either using a webhook or the command line.
An open-source tool for managing and deploying software configuration is called Puppet. The most popular operating systems for controlling numerous application servers at once are Linux and Windows.
What is the most fundamental puppet modeling unit?
Resources serve as the fundamental building block for modeling system setups.
What are the functions of a puppet?
Infrastructure automation, automated provisioning, task management, code management, visualization, and reporting are just a few of Puppet's features.
What does a puppet node mean?
A section of Puppet code known as a node definition, also called a node statement, is only present in the catalogs of matching nodes.
Conclusion
In this article, we have extensively discussed Managing and Deploying Puppet Code.
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