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
Red Hat JBoss EAP
Score 7.3 out of 10
N/A
N/A
N/A
Pricing
Mirantis Kubernetes Engine
Red Hat JBoss Enterprise Application Platform
Editions & Modules
Free
$0.00
per year
Basic
$500.00
per year
No answers on this topic
Offerings
Pricing Offerings
Mirantis Kubernetes Engine
Red Hat JBoss EAP
Free Trial
Yes
No
Free/Freemium Version
Yes
No
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
Mirantis Kubernetes Engine
Red Hat JBoss Enterprise Application Platform
Features
Mirantis Kubernetes Engine
Red Hat JBoss Enterprise Application Platform
Application Servers
Comparison of Application Servers features of Product A and Product B
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.
Red Hat JBoss Enterprise Application Platform (JBoss EAP) is well suited for deploying high transaction Java EE based applications. It supports many popular Java EE web-based frameworks such as Spring, Angular JS, jQuery Mobile, and Google Web Toolkit.
MOD_CLUSTER integration. JBoss EAP integrates pretty well with mod_cluster. This is an intelligent load balancer especially useful in highly clustered environments.
Supports enterprise-grade features such as high availability clustering, distributed caching, messaging etc.
Supports deployment in on-premise, virtual and hybrid cloud environments.
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.
Jboss CLI is a great tool but we had trouble using it to get values that are displayed on Jboss GUI. It also has limitations parsing the applications.xml files and we had to use a mix of jboss-cli and linux bash commands to automate certain application administrative tasks.
JBoss doesn't really provides performance tuning recommendations. It would have been nice if it could learn from the current demand vs current settings for things like connection pool, server configurations, garbage collection etc.
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.
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.
WebSphere Application Server is propriety and increases project cost. It is slightly complicated to learn when compared to Jboss EAP. These were the two main reasons why we chose Red Hat JBoss EAP over WebSphere Application Server. Also, JBoss EAP is light weight and requires less server resource
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.
Jboss EAP is easy to deploy and configure. This lead to lower cost and faster delivery.
Even though we have large number of machines running JBoss, we have only two Jboss Administrators. It doesn't requires too much administration and maintenance on daily basis and reduces number of administrators required for large implementations.
