CoreOS rkt or Container Linux was a rival to Docker that was acquired by Red Hat, then given to the Cloud Native Computing Foundation (CNCF). The project has since been discontinued.
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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
CoreOS rkt / Container Linux (project ended)
Mirantis Kubernetes Engine
Editions & Modules
No answers on this topic
Free
$0.00
per year
Basic
$500.00
per year
Offerings
Pricing Offerings
CoreOS rkt / Container Linux (project ended)
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
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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.
It is very well suited for local testing where one knows what is being worked on and knows all the dependencies of the software project. On the other hand, it would be less appropriate in situations where a simple chroot can do the trick without the overhead of running a Go application.
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.
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 evaluated CoreOS rkt and Docker when selecting software solutions for my department. We ended up using CoreOS rkt because of how well it fits with CoreOS and the choice of gRPC for the API. We provide a managed service that runs CoreOS on a bare metal server, CoreOS rkt was a logical choice for compatibility. We also found that developers were having better scusess interacting with gRPC than other container engines REST protocols. It was a close race but eventually there were just enough small benefits to push CoreOS rkt in front of the competition.
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.
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.