Mirantis Kubernetes Engine (Docker Enterprise)

It is used in a project in our enterprise. It helps us to scale individual components independently. Only a little times we faced issues with Mirantis Cloud Native Suite (Docker Enterprise). Rest of the time I assure that it worked properly. We can also keep it on autoscale. And it works really well at peak times as well.

Docker Enterprise is quite a handy solution when it comes to containerizing your application making it lightweight and easy to spin and access. Currently, it is being used across the whole organization and [is a] solution for every kind of complex problem.

Through [Mirantis Cloud Native Suite (Docker Enterprise)] I have got rid of the improperly-signed and even unsigned container workloads. This tool is easy to configure and easily I can tag the workloads for execution on appropriate node types. Further through this application, it is very convenient for me to use specialized hardware in bare metal which includes FPGAs and GPUs, that offer great machine learning and helps in scientific computing.

Docker is heavily used to containerized the projects and upload it to kubernetes. It is helpful when developing microservices. Due to Dockers isolation and portability feature, it is easy to deploy run and get a microservice up in no time. Docker is being used across the whole organization. Docker address following business problems: building independent microservices, isolation and easy potability.

We use Swarm to deploy internal applications in a managed cluster. These applications are mission-critical and used across all departments in the organization. Swarm solves the problem of scaling and load balancing traffic and resources during peak business hours. It allows fast and simple automated deployment which drastically reduces the time spent on this task by developers.

Docker is everywhere, there just isn't a server on an application which is not present in Docker. It forms the integral part of the whole infra for us. The beauty of Docker comes from its amazing quality of being robust, easy to start and very easy to blow it off completely. It's the most powerful tool which just does magic for us.

Docker is used by most of our teams as part of their development and deployment practice. For development, it enables engineers to build applications in the same environment without worrying about local configuration issues. Nearly all of our CI/CD and infrastructure runs in Docker containers as well, which makes debugging production issues (especially around deployment) as simple as pulling down the right image and poking at it locally.

We are currently using Docker in a test environment to deploy and monitor all of our servers/firewalls/switches/etc. throughout our company. We have a single server instance that houses all the containers and images. My department, the technology services department, is the only department that uses this and as it is still only being tested only one user is using/deploying/managing it—me. But it allows me to have a glance at each location to see if there are any issues that could potentially take down a site.

Docker is used by our company to build our server deployment files and to run tests. This allows us to have confidence that our deployments will work correctly in our pull request tests. Developers can also be confident that the build will run the same every time no matter where the code is being run.

We use Docker for WordPress development. It has replaced Vagrant on our development systems. We like the tighter integration with Windows Hyper-V and the performance is better than VirtualBox-based solutions. We are able to jump-start many projects with the Docker Compose files people contribute and publish on GitHub. Using Docker Compose we are able to create reliable, consistent, development scaffolding.

Instead of using VMs for our testing environments in our automated pipelines, we use Docker containers to simplify and increase the efficiency of our testing. We needed a testing environment that worked both for Windows and Linux, so Docker was the best choice for our scenario. It is being used on a team-by-team basis.

Reducing deployment friction is the chief benefit. The advent of the Cloud allowed us to break away from physical servers and rapidly develop our products and services. Docker adds a Saturn 5 rocket to that. It allows developers to easily build very complex application on their local machines much the same way VMs did, but with a fraction of the resources VMs take because of their reduced footprint. This in turn allows sharing prebuilt "containers" with a community be it within an organisation or global in a matter of seconds. Additionally, the days of configuration drift are solved because we all have a common "language" for sharing configurations regardless of the tools used to build them.

We use Docker as part of a rapid deployment project that allows a service to be easily deployed directly onto VMs automatically during staging and production. It makes the management of the VM a parallel task to the deploy process. Traditionally the provision of a VM would be intertwined with the deploy process and containerization allows for these things to be decoupled.

We use Docker mainly for testing purposes. To avoid issues with local environments while testing our site, we use Docker images. This has many benefits: you can easily add/remove configurations and extras. For example on PHP you can try different images with different versions of PHP. Trying to achieve this on your localhost (for example with XAMPP or something more friendly) is very time-consuming.

I should say I know Docker is meant for something more pro and I'm a light user; I don't push a Docker image completely to a server, but for testing purposes it has been extremely useful. You can use CLI for changing things, you can create different databases, alter them and load them again, etc.

Docker is truly an amazing tool that is used across our organization. It gives the developer tools to easily set up environments, deploy code, CI pipeline. Open sourced images and community supports makes it a great choice.

Docker is being used across our organization for product development and deployment. We switched to docker in order to replace a custom build and deploy the solution. We have used it as part of our build and deploy system to make the process more flexible and decentralized. It has made it much easier to build out new data centers and is part of our internationalization strategy.

Docker is being used as a quick way for organizations to deploy Couchbase as a container, both independently and in an orchestrated environment. Because of how easy Docker containers are to create and destroy, it makes developer and operations work incredibly easy for prototyping in a consistent environment using the Docker runtime.

We are using Swarm for our analytics gathering service. Using swarm allows for quick workload scaling and using less hardware than was needed before.

Docker is used across our whole engineering organization. It is used to simplify packaging and deployment of the apps and services we develop. Using docker allows us to match our development environment more closely to production and run polyglot applications without worrying about cross-cutting software dependencies and server configuration.

Docker is used across our whole engineering organization in order to have a consistent dev environment for local testing. We also use Docker for our microservices on Rancher. Docker is extremely useful as we can easily spin up any sort of environment we want and create/test new features. The use of Docker also helps prevent those "it work on my computer" type of issues.

We use Docker to containerize our applications, we get many benefits from this such as:

• consistent, realizable deployment environments across dev, QA, prod - the same image used in dev is the exact same image deployed to production
  
• better utilization of server resources
  
• cross cloud compatibility
  
• the ease of scaling applications

Docker is used for by both the dev team and the QA team on my project. For the dev team it's really useful as they had a lot of issues prior to using Docker with the different setups the devs had: Win/Linux/Mac. After switching to Docker these issues disappeared.

For me as an automation QA lead, it's mainly used for our Selenium Grid. Our grid is running on AWS, and I configured it via Docker. I use docker-compose to start it up and to scale how many browsers should be started. Using only Docker was already a huge help, as we didn't really have to worry about the configurations and it was easy to use the same setup for more instances, but combined with the scaling option of docker-compose it proved to be a really convenient.

A large global financial services provider based in London, faced increasing regulatory pressure and market demands—led by industry disruptors offering modern, digital services. Looking to increase innovation and productivity, Barclays set out to build an Application Platform-as-a-Service as part of its cloud program. It used Red Hat OpenShift Container Platform which incorporates Docker, along with other Red Hat solutions to update its IT infrastructure and adopt an agile, DevOps approach to application development, giving its developers on-demand, self-service capabilities. As a result, the bank improved its efficiency and agility to innovate faster and stay competitive.

Docker is being used by us to create and throw away spaces as needed for testing. Instead of managing a huge hardware lab we are able to "spin up" configurations as needed. If we need a new configuration to test against we just build a new container. It makes life more simple.

We use Docker as the backbone of our hosted app infrastructure. Every element of our application is broken down into a microservice; these miniature services are then built into Docker containers and deployed directly to AWS cloud. Docker lets us deterministically build, distribute, and deploy all of our services without any ambiguity as to what's being deployed and why.