Docker Enterprise was sold to Mirantis in 2019; that product is now sold as Mirantis Kubernetes Engine. But Docker now offers a 2-product suite that includes Docker Desktop, which they present as a fast way to containerize applications on a desktop; and, Docker Hub, a service for finding and sharing container images with a team and the Docker community, a repository of container images with an array of…
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unlimited public repositories
Mirantis Kubernetes Engine
Score 9.4 out of 10
N/A
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.
$0
per year
Pricing
Docker
Mirantis Kubernetes Engine
Editions & Modules
Free
$0
unlimited public repositories
Pro
$5.00
per month per user
Team
$7.00
per month per user
Business
$21
per month per user
Free
$0.00
per year
Basic
$500.00
per year
Offerings
Pricing Offerings
Docker
Mirantis Kubernetes Engine
Free Trial
No
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
These pricing options are compatible with Linux or Windows Server and are per year, per node. The basic version requires maximum online purchase not to exceed 50 nodes. Support/professional services are not included.
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.
Docker is great for when you would want to use a VM for any given application, but don't need the overhead of the whole OS. Docker containers use very little computing resources, boot up very quickly, and are very easy to set up. An instance where Docker may not be appropriate would be for an application that requires good security. If in this situation, a true VM would probably be your best bet.
Docker has a bit of a learning curve, and it takes some time to become familiar with the tooling and syntax. Transitioning an existing architecture to docker can represent a significant investment.
Docker attempts to provide some level of cross-host container orchestration via swarm, but it falls short of third-party solutions like kubernetes.
We occasionally run into stability issues when the docker daemon is subjected to high load (many applications starting/stopping frequently). In these cases, docker hangs and we have to restart or replace the node.
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
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.
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.
We need a solution where initially we can use an OS to trigger our pipeline to be used by terraform and then later in ansible. After doing all work it automatically get exited and we can reclaim the space of our VM. So we created a gitlab pipeline and at the initial stage we defined a docker file which will be our base image and we performed all our activities inside that image to build infrastructure using terraform. Integration we have done in our gitlab pipeline and finally we remove the docker image so that the space can be reclaimed immediately.
I have not used any other software as a container management solution. Its containerized apps allow the usage of less memory, thus they start and shut down very fast. This tool is helping the enterprise software to work quickly against the changing conditions thus offers great scaling by simultaneously allowing me to meet the demands, which also leads to easy implementation of the strategies.
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.
We are able to try things very quickly compared to before. If you need to debug it, changes on X/Y/Z will have an impact on the way your app works, and changing libraries or configurations of the environment easily can improve your development cycles.
In case someone new arrives, the onboarding is pretty easy thanks to Docker. We have tried many configs and images until we reached a point were we have what we want. We don't have to painfully do that again for every new user. We just send him the image.
