Azure Kubernetes Service (AKS) vs. Perforce Puppet

AKS works very well for running containerized applications that require high availability and scalability. This includes systems like our HRIS platform and customer-facing web applications. AKS is a good choice when applications are broken into multiple services that need independent scaling and deployment. It provides the flexibility needed to manage these architectures effectively. But for single, low-traffic applications or simple internal tools, AKS can be overkill. For scenarios like that Azure App Service would be better.

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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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• AKS makes it easier to replicate data to multiple regions
• Azure portal make it easier to manage the resources of the organization

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• 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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• Steep learning curve
• Expected charges are unclear until you see real production usage
• Operations teams need to learn an entirely new skill set

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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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As already said, the UI/CLI and even terraform are perfectly fine, but certain details could be documented better. For instance, if I want to secure the whole Azure Kubernetes Service (AKS) with my own managed keys, then it is very complex and hard to get there. Not really a single source that gives you the whole picture. Besides that, it is still good to use, in most cases intuitive but details mentioned as above can be tricky.

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Microsoft support was really good, whenever we raise any ticket they come back to us within a couple of hours.

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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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Amazon EKS stacked up very well and had better performance in some areas. However, Azure Kubernetes Service was a better fit given our Azure environment.

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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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• We had to spend more time on Azure Kubernetes Service (AKS) than on AWS and GCP to get our kubernetes cluster up and running
• The resources on nodes need to be left out unused, so effectively it is wasting money there
• It definitely made us spend more time into maintaining kubernetes

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• 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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