I wouldn't use it for everything, but whenever I encounter a problem where applications crash or behave weirdly - the problem is with the app, not the container technology. It's not because the problem only manifests itself in a container that the problem is suddenly "docker".
And as with every technology, you have to understand it's strength and weaknesses. I use Docker internally and in production with very few issues other than it advancing way too fast at the moment, but am always amazed how many people dive in head-first into a Docker adventure without understanding what it is and how it actually works and it's limitations.
This is from the perspective of a relatively small development company with applications where scaling is a non-issue. Our problem is that we have a ton of active projects. To give you an idea, our internal CI now still has over 500 active build jobs after a recent cleanup.
This CI is the first thing where Docker shines, it was an absolute god-send. I got rid of tons of frankenstein build slaves with unpredictable configurations, and replaced them with one huge VM running docker, with build images per project. This made this massive mess suddenly perfectly manageable, documented and version controlled. Need to build something in a build configuration from 1 year ago? Not something I want to do every day, but not completely impossible either, since I still have the exact same docker image in our internal registry.
Other than that, upgrading internal tools became a lot easier. Everything used internally (redmine, jenkins, ...) is containerized, which means it can easily be tested, migrated, cloned, ... It enforces data separation, which means it's clearer and easier to backup/restore and test these things. It means that now whenever a new version is released I can easily test this with our real data to see if there would be any problems in our configuration, and if not, quickly deploy a new version.
And as with every technology, you have to understand it's strength and weaknesses. I use Docker internally and in production with very few issues other than it advancing way too fast at the moment, but am always amazed how many people dive in head-first into a Docker adventure without understanding what it is and how it actually works and it's limitations.
This is from the perspective of a relatively small development company with applications where scaling is a non-issue. Our problem is that we have a ton of active projects. To give you an idea, our internal CI now still has over 500 active build jobs after a recent cleanup.
This CI is the first thing where Docker shines, it was an absolute god-send. I got rid of tons of frankenstein build slaves with unpredictable configurations, and replaced them with one huge VM running docker, with build images per project. This made this massive mess suddenly perfectly manageable, documented and version controlled. Need to build something in a build configuration from 1 year ago? Not something I want to do every day, but not completely impossible either, since I still have the exact same docker image in our internal registry.
Other than that, upgrading internal tools became a lot easier. Everything used internally (redmine, jenkins, ...) is containerized, which means it can easily be tested, migrated, cloned, ... It enforces data separation, which means it's clearer and easier to backup/restore and test these things. It means that now whenever a new version is released I can easily test this with our real data to see if there would be any problems in our configuration, and if not, quickly deploy a new version.