Docker vs. Perforce Puppet

You are going to be able to find the most resources and examples using Docker whenever you are working with a container orchestration software like Kubernetes. There will always some entropy when you run in a container, a containerized application will never be as purely performant as an app running directly on the OS. However, in most scenarios this loss will be negligible to the time saved in deployment, monitoring, etc.

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Puppet is good enough to get the job done, you can use it to automate deployments and maintain files and configurations, if this is all you're looking for it's great. If you're looking for more control over your systems as a whole without having to write your own scripts or install multiple configuration management systems then Puppet is not what you're looking for.

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• Packaging of application to limit the space occupied
• Ease of running the application
• Provide multiple ways to handle the application issues and integration of different components like pipeline, ansible, terraform etc

• Provides a clear map of how a system is configured
• Eases the creation of a system in a specific cluster as it is scripted in code
• Simplifies configuration changes to a cluster or to every system such as rolling out vhost configurations, updating ldap roles, NFS mounts, etc
• The syntax is very easy to read and carries a lot of fluidity once the language is learned.

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• Docker hub image retention policy can be relaxed
• Docker hub policies can be more developer friendly
• Docker CLI help section can be improved
• Image and container storage (local) management can be optimized

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• The setup of Puppet is a nightmare compared to ansible. Anyone watching a youtube video can easily set up ansible with minimal IT knowledge. All one needs is the source IP addresses and we are good to go. Setting up Puppet is a more hands-on task and pushing the puppet agents to all the boxes is another issue. If the installation and setup were simplified like ansible that would attract a lot of people to this platform
• The syntax of the code for Puppet is not as easy as ansible. Ansible simply follows a YAML format and it's like typing in normal English. Even complicated tasks can be written by just understanding YAML syntax. Perhaps Puppet needs to revisit the lanugage used and try to come up with a much simpler lanugage for writing code. This will make day-to-day usage easier.

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I have been using Docker for more than 3 years and it really simplifies the modern application development and deployment. I like the ability of Docker to improve efficiency, portability and scalability for developers and operations teams. Another reason for giving this rating is because Docker integrates CI/CD pipelines very well

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Haven't seen any outages, fatal/unrecoverable errors in my usage so far. Enough said.

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Docker Desktop. The CPU high usage is a known issue. Needs fixing. Otherwise, it is great overall. Would not use anything else still.

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Puppet has top class support. You can simply mail them with their query and they will respond to your query in a timely manner. We do have enterprise license for puppet. Also there is a vibrant community for puppet out there. So even if you dont purchase a premium support option you can simply google your queries and get answers

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The reason why we are still using Docker right now is due to that is the best among its peers and suits our needs the best. However, the trend we foresee for the future might indicate Amazon lambda could potentially fit our needs to code enviornmentless in the near future.

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HPSA is a licensed product and incurs significant upfront investment costs due to COTS licensing. Puppet Data Center Automation has a significantly lower upfront investment and product documentation is more readily available. Chef is a very similar offering, however, at the time our decision was considered, the adoption of Chef vs. Puppet was significantly less in the community.

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It is the only tool in our toolset that has not [had] any issues so far. That is really a mark of reliability, and it's a testimony to how well the product is made, and a tool that does its job well is a tool well worth having. It is the base tool that I would say any organisation must have if they do scalable deployment.

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• Reduces the number of virtual machine which impacted our quarterly billing
• Using docker with proxy we run multiple application on same port on same host.
• impact on billing is we have to provide docker training to the people who are working on it.

• Cut deployment times down to around 1 hour from 4-5 hours.
• Allows us to get a fully running system up from scratch in around 30 minutes.
• Allows for a more clear view of what is required to get a host running.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info