D2iQ (formerly Mesosphere) still supports the Mesosphere solution, which is designed for operations at a very large scale. It's powered by DC/OS, a production-proven cloud native platform that runs containers and data services on the same infrastructure.
D2iQ rebranded to reflect their change and broadening of focus towards Kubernetes but other services such as Cassandra, Kafka, and Spark. D2iQ also now offers IT professional services in tandem with its products.
N/A
Docker
Score 8.7 out of 10
N/A
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…
$5
per month
Pricing
D2iQ Mesosphere
Docker
Editions & Modules
No answers on this topic
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
Offerings
Pricing Offerings
D2iQ Mesosphere
Docker
Free Trial
No
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
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Community Pulse
D2iQ Mesosphere
Docker
Considered Both Products
D2iQ Mesosphere
Verified User
Manager
Chose D2iQ Mesosphere
Mesosphere vs. ECS Mesosphere has a direct competition with companies using AWS Cloud, as the ECS product is one of the closest competitors to Mesosphere. Mesosphere has an edge with simplistic hosting and deep and easy integration with Jenkins Pipelines and native plugins …
Mesosphere is well suited for orchestrating workloads. It supports Docker as a container as well as support others. It is highly suitable for running resilient and auto recovering big data/application containers. Mesosphere has proven time and again to be production ready at a massive scale. It supports native single button/API call scale up and scale down and supports various deployment patterns like Blue-Green and others.
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.
Setting up is a bit of a hassle, especially ZooKeeper state management and mesos and marathon quorum.
Occasionally, I observed some failures when deploying something onto Marathon. Logging or detailed error reporting can help.
Stale containers and inconsistent states resultant of the cluster failure are hard to solve and need a complete system restart to get it back to normal state.
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
I happen to like mesosphere because it integrates well with a Jenkins based workflow, Deis is a little more Heroku like and it's not clear how to fit that model into a continuous-integration process. Kubernetes has also been criticized for being complicated.
The reason why we are still using Docker right now is due to that is the best among its peers and suits our needs the best. However, the trend we foresee for the future might indicate Amazon lambda could potentially fit our needs to code enviornmentless in the near future.
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.
