Docker vs. Kernel-based Virtual Machine (KVM)

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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KVM is the best solution in the case you need to test and turn up any virtual environment with limited vCPU/RAM resources. The obvious area of its use is a network environment when we want to avoid being tied to one type of hardware/vendor and being able to swap from one instance to another with no downtimes. The use of a vSwitch (that supports VLAN tagging) is a significant bonus for network engineers that some other hypervisors do not provide.

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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

• KVM is really good at providing fast and reliable virtualization for Linux guests
• Since KVM is a kernel module, every VM is a Linux process which can be managed by Linux system tools
• KVM integrates very well with the management framework libvirt, which is why KVM can be integrated in automation tools as well

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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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• KVM itself doesn't ship with a management interface
• KVM itself is a bit complicated to handle
• KVM needs Qemu to virtualize Windows guests

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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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It does the job and stays out of the way. The specifics of usability relies on the implementation, but with things like Icarus and libvirt, things are standardizing nicely.

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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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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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It is a very reliable solution that can be used for x86 architecture virtualization with low overhead. It is a free and open source software. Easy to use withOpenStack.

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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.

• Fast provisioning of new servers.
• Huge drop of the cost of servers compared to bare metal.
• Easy upgrades of resources, sometimes now even requiring a server restart.

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