Docker vs. IBM DevOps Deploy

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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IBM UrbanCode Deploy is excellent for code deployments such as Java, .Net, C++, etc. It can also deploy and run SQLs reasonably well. Where it lacks is the ability for executables, Jars, WARs, EARs, etc.

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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

• Visual deployment instructions.
• Inventory management of environments.
• Component configuration at a granular level with customization.

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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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• IBM UrbanCode Deploy does code deployments easy enough, but configurations or ex deployments are a little more complicated. I work on packaged systems, so most of the code I get is form a vendor that I have to deploy.
• IBM UebanCode Deploy integration into the mainframe world would be ideal. My company uses Mainframe and OpenSystems technologies, and many times there are dependencies between the deployments.

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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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It's challenging to get a working knowledge of the product without having someone show you the ropes. Linking components with applications and applications with resource trees and resource trees with application deploys is not intuitive. However, once past that learning curve, the possibilities open up, and things become easier to understand and allow for further granularity.

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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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I've not worked directly with IBM UrbanCode Deploy support. My DevOps team administers the environment and deals with that.

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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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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.

• Push button deployments.
• Consistency and ability to focus on other tasks.
• Required quite a bit of upfront customization with certain web deployments (WebSphere, etc.)
• Opened the door to other types of deployments and other automation.

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