Docker vs. Red Hat Runtimes

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.

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Hat Red A collection of goods, equipment, and parts used in the creation and upkeep of cloud-native apps is known as runtimes. It provides lightweight runtimes and frameworks for highly distributed cloud architectures, like microservices, similar to Quarkus. Frameworks and runtimes selection of languages, runtimes, and frameworks enables developers and architects to select the best tool for the job. Quarkus, Spring Boot, Vert. x, and Node.js are all supported. In-memory distributed caching is a distributed in-memory data management system built for scalability and quick access to huge amounts of data.

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• Packaging of application to limit the space occupied
• Ease of running the application
• Provide multiple ways to handle the application issues and integration of different components like pipeline, ansible, terraform etc

• Java micro services
• Open JDK
• Caching

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• Docker hub image retention policy can be relaxed
• Docker hub policies can be more developer friendly
• Docker CLI help section can be improved
• Image and container storage (local) management can be optimized

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• Migration Toolkit for Applications.
• JBoss Web Server.
• Identity management and access control.

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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

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Haven't seen any outages, fatal/unrecoverable errors in my usage so far. Enough said.

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Docker Desktop. The CPU high usage is a known issue. Needs fixing. Otherwise, it is great overall. Would not use anything else still.

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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.

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Native integration with Redhat Open Shift Container Platform and Cloud native micro services development especially Java micro services with quarkus which very good alternative framework on that area. Open source support and Open JDK support are extremely important for most of the java developers and communities. Good documentation and howto tutorials

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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.

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• Reduces the number of virtual machine which impacted our quarterly billing
• Using docker with proxy we run multiple application on same port on same host.
• impact on billing is we have to provide docker training to the people who are working on it.

• Total Economic Impact (TEI) study.
• Red hat openShift.
• Red hat services and support.

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