Structuring Docker for building a monolithic app










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We have a monolithic build process for a ROS-based application, and want to employ Docker to package it up so we can more easily test and deploy.



My current thinking is that I build an image that contains all the dependencies, then use ENTRYPOINT and suitable --mount commands to do our final cmake and build the local source into a container.



However, there is one major design issue I haven't worked out a solution to or best practice for yet. First, I have obtained the OpenCV+CUDA image and a suitable ROS image, so I need to combine both into a new container, but the FROM command doesn't seem to suffice. For instance, OpenCV has been installed with make install, and CUDA has been through whatever apt-get processing is necessary, so I cannot just COPY over the files --from one after switching to the second. Practically, when I currently try to build cmake complains about CUDA_TOOLKIT_ROOT_DIR being missing, and if I hack that there will no doubt be another similar error a few more lines into the makefile.



How do people get around "multiple image inheritance" (for lack of a better word)? Should I be, say, just doing apt get cuda8 in my final Dockerfile instead of relying on FROM docker-opencv-cuda to indirectly provide an environment? That, though has the problem of somehow ensuring my CUDA versions are in sync between images.










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    1















    We have a monolithic build process for a ROS-based application, and want to employ Docker to package it up so we can more easily test and deploy.



    My current thinking is that I build an image that contains all the dependencies, then use ENTRYPOINT and suitable --mount commands to do our final cmake and build the local source into a container.



    However, there is one major design issue I haven't worked out a solution to or best practice for yet. First, I have obtained the OpenCV+CUDA image and a suitable ROS image, so I need to combine both into a new container, but the FROM command doesn't seem to suffice. For instance, OpenCV has been installed with make install, and CUDA has been through whatever apt-get processing is necessary, so I cannot just COPY over the files --from one after switching to the second. Practically, when I currently try to build cmake complains about CUDA_TOOLKIT_ROOT_DIR being missing, and if I hack that there will no doubt be another similar error a few more lines into the makefile.



    How do people get around "multiple image inheritance" (for lack of a better word)? Should I be, say, just doing apt get cuda8 in my final Dockerfile instead of relying on FROM docker-opencv-cuda to indirectly provide an environment? That, though has the problem of somehow ensuring my CUDA versions are in sync between images.










    share|improve this question
























      1












      1








      1








      We have a monolithic build process for a ROS-based application, and want to employ Docker to package it up so we can more easily test and deploy.



      My current thinking is that I build an image that contains all the dependencies, then use ENTRYPOINT and suitable --mount commands to do our final cmake and build the local source into a container.



      However, there is one major design issue I haven't worked out a solution to or best practice for yet. First, I have obtained the OpenCV+CUDA image and a suitable ROS image, so I need to combine both into a new container, but the FROM command doesn't seem to suffice. For instance, OpenCV has been installed with make install, and CUDA has been through whatever apt-get processing is necessary, so I cannot just COPY over the files --from one after switching to the second. Practically, when I currently try to build cmake complains about CUDA_TOOLKIT_ROOT_DIR being missing, and if I hack that there will no doubt be another similar error a few more lines into the makefile.



      How do people get around "multiple image inheritance" (for lack of a better word)? Should I be, say, just doing apt get cuda8 in my final Dockerfile instead of relying on FROM docker-opencv-cuda to indirectly provide an environment? That, though has the problem of somehow ensuring my CUDA versions are in sync between images.










      share|improve this question














      We have a monolithic build process for a ROS-based application, and want to employ Docker to package it up so we can more easily test and deploy.



      My current thinking is that I build an image that contains all the dependencies, then use ENTRYPOINT and suitable --mount commands to do our final cmake and build the local source into a container.



      However, there is one major design issue I haven't worked out a solution to or best practice for yet. First, I have obtained the OpenCV+CUDA image and a suitable ROS image, so I need to combine both into a new container, but the FROM command doesn't seem to suffice. For instance, OpenCV has been installed with make install, and CUDA has been through whatever apt-get processing is necessary, so I cannot just COPY over the files --from one after switching to the second. Practically, when I currently try to build cmake complains about CUDA_TOOLKIT_ROOT_DIR being missing, and if I hack that there will no doubt be another similar error a few more lines into the makefile.



      How do people get around "multiple image inheritance" (for lack of a better word)? Should I be, say, just doing apt get cuda8 in my final Dockerfile instead of relying on FROM docker-opencv-cuda to indirectly provide an environment? That, though has the problem of somehow ensuring my CUDA versions are in sync between images.







      docker dockerfile






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      asked Nov 16 '18 at 6:04









      Ken Y-NKen Y-N

      7,836134773




      7,836134773






















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