Mirantis Kubernetes Engine

Formerly Docker Enterprise

Through [Mirantis Cloud Native Suite (Docker Enterprise)] I have got rid of the improperly-signed and even unsigned container workloads. This tool is easy to configure and easily I can tag the workloads for execution on appropriate node types. Further through this application, it is very convenient for me to use specialized hardware in bare metal which includes FPGAs and GPUs, that offer great machine learning and helps in scientific computing.

Docker Enterprise is quite a handy solution when it comes to containerizing your application making it lightweight and easy to spin and access. Currently, it is being used across the whole organization and [is a] solution for every kind of complex problem.

It is used in a project in our enterprise. It helps us to scale individual components independently. Only a little times we faced issues with Mirantis Cloud Native Suite (Docker Enterprise). Rest of the time I assure that it worked properly. We can also keep it on autoscale. And it works really well at peak times as well.

We are currently using Docker in a test environment to deploy and monitor all of our servers/firewalls/switches/etc. throughout our company. We have a single server instance that houses all the containers and images. My department, the technology services department, is the only department that uses this and as it is still only being tested only one user is using/deploying/managing it—me. But it allows me to have a glance at each location to see if there are any issues that could potentially take down a site.

Docker is used by our company to build our server deployment files and to run tests. This allows us to have confidence that our deployments will work correctly in our pull request tests. Developers can also be confident that the build will run the same every time no matter where the code is being run.