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Mirantis Kubernetes Engine

Mirantis Kubernetes Engine
Formerly Docker Enterprise

Overview

What is Mirantis Kubernetes Engine?

The Mirantis Kubernetes Engine (formerly Docker Enterprise, acquired by Mirantis in November 2019)aims to let users ship code faster. Mirantis Kubernetes Engine gives users one set of APIs and tools to deploy, manage, and observe secure-by-default, certified, batteries-included Kubernetes clusters…

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Pricing

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Free

$0.00

Cloud
per year

Basic

$500.00

Cloud
per year

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://store.mirantis.com

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Starting price (does not include set up fee)

  • $500 per year per node
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Product Details

What is Mirantis Kubernetes Engine?

Mirantis Kubernetes Engine Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

The Mirantis Kubernetes Engine (formerly Docker Enterprise, acquired by Mirantis in November 2019)aims to let users ship code faster. Mirantis Kubernetes Engine gives users one set of APIs and tools to deploy, manage, and observe secure-by-default, certified, batteries-included Kubernetes clusters on any infrastructure: public cloud, private cloud, or bare metal.

Mirantis Kubernetes Engine starts at $500.

Reviewers rate Support Rating highest, with a score of 7.8.

The most common users of Mirantis Kubernetes Engine are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(209)

Reviews

(1-5 of 37)

Superb tool for simplifying your IT problems and overcoming technical issues

Rating: 9 out of 10
May 26, 2021
CA
Vetted Review
Verified User
Mirantis Kubernetes Engine
2 years of experience
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.

With Docker consider it done

Rating: 6 out of 10
June 25, 2021
AR
Vetted Review
Verified User
Mirantis Kubernetes Engine
4 years of experience
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.

Need insights on Mirantis Cloud Native Suite

Rating: 9 out of 10
September 11, 2021
FU
Vetted Review
Verified User
Mirantis Kubernetes Engine
1 year of experience
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.

Docker: The Little "VM" That Could!

Rating: 8 out of 10
July 20, 2019
MJ
Vetted Review
Verified User
Mirantis Kubernetes Engine
1 year of experience
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.

Linux everywhere!

Rating: 9 out of 10
July 13, 2019
DT
Vetted Review
Verified User
Mirantis Kubernetes Engine
5 years of experience
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.
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