Kubernetes is an open-source container cluster manager.
N/A
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.
$500
per year per node
Pricing
Kubernetes
Mirantis Kubernetes Engine
Editions & Modules
No answers on this topic
Free
$0.00
per year
Basic
$500.00
per year
Offerings
Pricing Offerings
Kubernetes
Mirantis Kubernetes Engine
Free Trial
No
Yes
Free/Freemium Version
No
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.
More Pricing Information
Community Pulse
Kubernetes
Mirantis Kubernetes Engine
Considered Both Products
Kubernetes
Verified User
Professional
Chose Kubernetes
Kubernetes is a great alternative to cloud hosted expensive solutions. It is extremely well documented and maintained. It is probably the best home-grown solution available for container infrastructure management.
Kubernetes is very unique. I do not think there are any competitors to take over its leading place. And you can always use Kuberntes with other tools to make the whole system better. Kubernetes is backed up by Google and has been tested over the years. It is reliable, fast, and …
When planning our latest product we tried out many hosted container service and a few local tools. These included services run by Google, Microsoft, and Amazon and tools from companies like Docker and Apache. We ended up selecting Kubernetes because it was compatible with all …
Docker Swarm is not as advanced as Kubernetes and there are no out of the box solutions for auto scaling and deployment strategies. Docker swarm doesnot have much experience with production deployments at scale. Swarm has a smaller community, and less frequent releases as …
We already had an enterprise Kubernetes 8 set up, so once we got our namespace it took me about 2 weeks to go from not knowing anything to having a self-contained jar in a container, running on Kubernetes 8. In comparison, it took me two weeks to install Java on a blank server …
While Ansible and Docker focus on solving two different problems, we were previously using Ansible to ensure that all dependencies were automatically setup on new servers and that proper configuration was applied when new nodes were brought up. With docker, most of these …
Doocker lacks a lot of the scaling, automation, integration of 3rd party tools/solutions, and integration of shared high-performance self-healing storage, solutions like Heketi provide those missing pieces.
Docker is a different beast in that it is not trying to solve all of your infrastructure problems or most of them, it is simply trying to provide a reliable container serviced based on linux containers in which you can easily and quickly deploy microservices. LXD does provide …
Before Docker, we were using Chef to manage our deployments. Chef didn't provide the environmental consistency and release confidence we needed. We had a split process between how the build servers, the developers and the deployed environments were managing the software …
LXC is great tool if you do not want to deal with any learning curve, however, we found a huge stumbling block when it comes down to having to port the newly created container throughout the company's serves and machines. With Docker everything is smooth, as all we needed was …
K8s should be avoided - If your application works well without being converted into microservices-based architecture & fits correctly in a VM, needs less scaling, have a fixed traffic pattern then it is better to keep away from Kubernetes. Otherwise, the operational challenges & technical expertise will add a lot to the OPEX. Also, if you're the one who thinks that containers consume fewer resources as compared to VMs then this is not true. As soon as you convert your application to a microservice-based architecture, a lot of components will add up, shooting your resource consumption even higher than VMs so, please beware. Kubernetes is a good choice - When the application needs quick scaling, is already in microservice-based architecture, has no fixed traffic pattern, most of the employees already have desired skills.
[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.
Local development, Kubernetes does tend to be a bit complicated and unnecessary in environments where all development is done locally.
The need for add-ons, Helm is almost required when running Kubernetes. This brings a whole new tool to manage and learn before a developer can really start to use Kubernetes effectively.
Finicy configmap schemes. Kubernetes configmaps often have environment breaking hangups. The fail safes surrounding configmaps are sadly lacking.
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.
Most of the required features for any orchestration tool or framework, which is provided by Kubernetes. After understanding all modules and features of the K8S, it is the best fit for us as compared with others out there.
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.
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.