HashiCorp Packer vs. Mirantis Kubernetes Engine

We use packer to generate new machine images for multiple platforms on every change to our Configuration Management tools like Chef/Puppet/Ansible It's act single tool for Image building for Multi-provider like AWS/Azure/GCP Helps to achieve Dev/Prod Parity Packer itself doesn't have a state like Terraform. You can't do packer output AMI ID. If you have a scenario where you want to maintain the state for images it would be tough to manage via Packer.

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[Mirantis Cloud Native Suite (Docker Enterprise)] is the most advanced tool till now, which works as a VMs
and separates any single application from the dependencies. Also, this tool is
helping me in the agile development of the processes. It is strongly recommended to
almost all major organizations.

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• Multi-provider portability
• Greater testability
• Super fast infrastructure deployment

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• Containers - Docker is the go-to when using Containers, which are super useful if you need an environment that works both for Windows and Linux
• Efficiency - Docker is very lightweight and doesn't demand too much from your CPU or server
• CI/CD - Docker is excellent for plumbing into your build pipeline. It integrates nicely, is reliable, and has an easy set up.

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• Manageability
• Manageability
• Manageability

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• Containers are often opaque - if a container doesn't work out of the box, it's messy to fix.
• Logging is complexified by the multiple containers and logs are often not piped to places you expect them to be.
• Networking is complexified due to internal port mapping between containers, etc.

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We are happy with the use of Packer in our organization. Apart from manageability, I don't find any other drawback with Packer.

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It's best for building Image with many features and benefits.

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Docker's CLI has a lot of options, and they aren't all intuitive. And there are so many tools in the space (Docker Compose, Docker Swarm, etc) that have their own configuration as well. So while there is a lot to learn, most concepts transfer easily and can be learned once and applied across everything.

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I only once required support and it was very smooth.

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The community support for Docker is fantastic. There is almost always an answer for any issue I might encounter day-to-day, either on Stack Overflow, a helpful blog post, or the community Slack workspace. I've never come across a problem that I was unable to solve via some searching around in the community.

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I haven't found any issue in Implementation that itself describes how well this tool is built.

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There are lot of tools in market which does the job for Image creation but all of them are not complete Machine/Image as a code. All other alternatives can create Image partially. Main reason for selecting Packer are Packer is lightweight, portable, and command-line driven Packer helps keep development, staging, and production as similar as possible. Packer automates the creation of any type of machine image Multi-provider portability is the feature to die for

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We've used XAMPP, PHPmyAdmin and similar local environments (our app is on PHP). Because of how easy you can change the configuration of libraries on PHP and versions (which is SO painful on XAMPP or other friendly LAMP local servers) we are using Docker right now. Also, being sure that the environment is exactly the same makes things easier for developing.

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• Super fast infrastructure deployment
• Quick turnaround of infrastructure in multiple cloud using single tool.
• Increase productivity by reducing time in infrastructure building.

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• Docker has made it possible for us to deploy code faster, increasing the productivity of our development teams.
• Docker has made it possible for us to decentralize our build and release system. This means that teams can deploy on their own schedule and our dev ops team can concentrate on building better tools rather than deploying for the teams
• Docker has allowed us to virtualize our entire development process and made it much simpler to build out new data centers. This, in turn, is significantly increasing our ROI by providing a path forward for internationalization.

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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