Codacy vs. Docker

I recommend it for companies that use several programming languages, as it supports several languages ​​such as Java, Javascript, Python, among others. However, for companies that use only one programming language, there are specific tools for each language that can be more complete in this scenario. I do not recommend it for companies that only use open source software, in which case there are other tools available.

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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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• Seamless and easy integrations with GitHub for fantastic pipeline of viewing errors.
• Intuitive UI which is easy to customize and built-in patterns recommendations and security checks helps to fix issues faster.
• Metrics and duplication and complexity easily identify areas that need attention to fix it easy.
• Great for open-source projects.

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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

• There should be customization to get code quality for your own projects if standards are provided.
• Offline or a standalone application is much needed from Codacy to get local support.
• Spots a lot of errors and small ones that don't affect much about quality and are de-facto standards.

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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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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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Great company and support team!

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Even though it is paid while SonarQube is free, we chose Codacy because it is simpler to configure and maintain the implemented rules. In addition, it offers support for the main programming languages ​​on the market, ensuring that we can continue to use it if we want to use other languages ​​in new products.

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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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• The integration of Codacy with new code base is quick and easy.
• Improves our code.
• Easy to detect errors easily.
• Ability to check duplicate codes.

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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.