We are using Mirantis Container Cloud ( /products/mirantis-container-cloud-reviews ) for production builds. It is integrated with Mirantis, and we use it in the insurance industry.
The primary use case is for enhancing security by integrating the tool for security identity and compliance, creating a secure container environment. This helps to manage services running within the pod, reducing operational overhead. The solution avoids setting up and managing processes manually, focusing on cost efficiency, as users pay only for the nodes in use with auto-scaling capabilities. Mirantis Container Cloud supports Azure and AWS Kubernetes services.
We use Mirantis Container Cloud to package and configure our microservices. Whether it's a simple standalone service or a service with a PostgreSQL or MongoDB connection, we handle it all in a Docker file.
The solution is used for a restaurant application. We have developed a new innovative restaurant application that handles the restaurant order system via voice. We also use it for charging management software.
We are worldwide distributors of Mirantis. There are many use cases. One of the use cases is for the container cloud, and the other use case is for your run time. They have a solution for container run time.
We use Mirantis for nearly everything, starting with development. The developers use Mirantis to basically package the application. We use Kubernetes, and both Mirantis and Kubernetes are used locally by developers. The container runtime is done by Mirantis. We use Mirantis for our CICD pipelines as well. For very runner in GitLab, a Mirantis container is spawned and then an application is built and some tests are run, and all of that is done in Mirantis containers. The same goes for production. An image is promoted and tagged and published to a Mirantis registry, and then later pulled in by another agent that's running in Kubernetes.
Software Engineer at a computer software company with 1,001-5,000 employees
Real User
Jun 1, 2022
I'm working for cybersecurity, so there are some thread data pipelines where we have data processing and then the pipelines are built and being containerized and then exported to the pipelines. We're using version 20.10.11. It's deployed on a private cloud. There are more than 20 people using this solution in my organization. We are all data engineers, and our managers are also from the same background. There are also machine learning engineers using this solution.
In our team, we need to develop virtualization infrastructure and provide a specific environment for the developer and software engineers to migrate microservices and new applications in an environment based on containers. Therefore, we need to build and create a new platform. We established a container engine called Docker and a distributed open-source orchestrators, such as Kubernetes, to manage lots of containers in the environment.
We are a solution provider and we sell products to our customers. Our webpage has solutions from Microsoft and HPE. Mirantis Container Cloud is one of the products that we offer.
We use the hybrid version of solution with public and on-premises. Our primary use case for Docker is to make it easier for us deploy and maintainon our applications.
My experience with Docker is in helping to provide solutions for my clients. Specifically, this involves continuous integration and continuous deployment for my clients' workflow.
Works at a computer software company with 1,001-5,000 employees
Real User
May 22, 2019
I use Docker during both development time when I write new applications and for production where we deploy our applications on platforms such as Kubernetes and Mesos.
Mirantis Container Cloud is a secure container platform for any cloud. It provides organizations with unmatched speed to ship code quicker on public clouds and on-premise infrastructure. Mirantis Container Cloud is the simplest method for building and managing Kubernetes clusters anywhere with one consistent cloud experience for developers and operators across public and private clouds. It enables full application and DevOps portability.
Mirantis Container Cloud simplifies infrastructure...
We are using Mirantis Container Cloud ( /products/mirantis-container-cloud-reviews ) for production builds. It is integrated with Mirantis, and we use it in the insurance industry.
The primary use case is for enhancing security by integrating the tool for security identity and compliance, creating a secure container environment. This helps to manage services running within the pod, reducing operational overhead. The solution avoids setting up and managing processes manually, focusing on cost efficiency, as users pay only for the nodes in use with auto-scaling capabilities. Mirantis Container Cloud supports Azure and AWS Kubernetes services.
I use the solution in my company since we have some in-house applications, and to spin up those applications, we use Docker Enterprise.
I use it to containerize microservices. It's a comprehensive container solution for managing microservices.
We use Mirantis Container Cloud to package and configure our microservices. Whether it's a simple standalone service or a service with a PostgreSQL or MongoDB connection, we handle it all in a Docker file.
We use it as OMS application. It's an Application and Logistics IBM application. That application runs as a container.
The solution is used for a restaurant application. We have developed a new innovative restaurant application that handles the restaurant order system via voice. We also use it for charging management software.
We use the product for deployment purposes.
We use Mirantis Container Cloud to manage web applications.
We are worldwide distributors of Mirantis. There are many use cases. One of the use cases is for the container cloud, and the other use case is for your run time. They have a solution for container run time.
We use Mirantis for nearly everything, starting with development. The developers use Mirantis to basically package the application. We use Kubernetes, and both Mirantis and Kubernetes are used locally by developers. The container runtime is done by Mirantis. We use Mirantis for our CICD pipelines as well. For very runner in GitLab, a Mirantis container is spawned and then an application is built and some tests are run, and all of that is done in Mirantis containers. The same goes for production. An image is promoted and tagged and published to a Mirantis registry, and then later pulled in by another agent that's running in Kubernetes.
I'm working for cybersecurity, so there are some thread data pipelines where we have data processing and then the pipelines are built and being containerized and then exported to the pipelines. We're using version 20.10.11. It's deployed on a private cloud. There are more than 20 people using this solution in my organization. We are all data engineers, and our managers are also from the same background. There are also machine learning engineers using this solution.
I am working as part of a developing team in a cybersecurity company. We have approximately 50 people that are using this solution.
In our team, we need to develop virtualization infrastructure and provide a specific environment for the developer and software engineers to migrate microservices and new applications in an environment based on containers. Therefore, we need to build and create a new platform. We established a container engine called Docker and a distributed open-source orchestrators, such as Kubernetes, to manage lots of containers in the environment.
We are a solution provider and we sell products to our customers. Our webpage has solutions from Microsoft and HPE. Mirantis Container Cloud is one of the products that we offer.
My primary use case is the containerization of applications. We have several use cases in this domain.
We use the hybrid version of solution with public and on-premises. Our primary use case for Docker is to make it easier for us deploy and maintainon our applications.
We use this solution for the virtualization of monolithic apps, providing a better scalable and agile solution.
My experience with Docker is in helping to provide solutions for my clients. Specifically, this involves continuous integration and continuous deployment for my clients' workflow.
We use Docker for the construction of container-based QA environments and the development environments as well.
I use Docker during both development time when I write new applications and for production where we deploy our applications on platforms such as Kubernetes and Mesos.