Docker vs. Google Cloud Platform

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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When most of our stuff is in Google Cloud Platform, it works great to integrate and cross/share data that is all in Google Cloud Platform or BigQuery. It has simplified things from a permissions perspective as well. I'd say it is less appropriate when trying to test something quickly locally, or when half your stuff is in AWS or another provider.

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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

• Easy to set up
• Affordable use of the tool
• Easy to access billing
• Reliable service

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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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• The UI is so confusing. The console is good, but it is like a maze. There are too many menus and settings, and things do not work as expected. It takes time to get friendly, and it is not friendly for new users.
• Support experience: Sometimes, you get a great engineer, but other times, it's very difficult to talk with them as they are unable to respond as expected and solve issues late.
• Region and zone are issues, as not all services are available in all regions, which is lacking when deploying something in the same region or zone.

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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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The Google Cloud Platform console is pretty slick for BigQuery especially. I have liked the visibility I get from using that and the way to integrate and see what's in our data lake. The logging console for tracking GKE jobs isn't quite as great, which is why it doesn't get a full 10.

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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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Google Cloud Platform is release later than Amazon web service, I think that why Google Cloud Platform can learned and optimized the Dashboard and some features that make it easy to use and can be cheaper than amazon web service.

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.

• It allows us to focus our efforts on other, more important items at hand
• It gives us an affordable option letting me know it's available to all users, not just the largest scale ones out there
• The customer service is always helpful and reliable, along with the service itself which lets me focus on my work instead of worrying about the service.

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