Self updating docker stack












-3















I have a docker stack deployed with 20+ services which comprise my application. I would like to know that is there a way to update this stack with the latest changes to the software from within one of the containers running as a part of the stack?



Approach i have tried:




  1. In one of the containers for a service, mounted the docker socket and the /usr/bin/docker file and downloaded the latest compose file from the server.

  2. Instantiated a script which downloads the latest images

  3. Initiate a docker stack deploy with the new compose file


Everything works fine this way but if the service which is running this process itself has an update and if that docker stack deploy tries to create this service before any other service in the stack, then the stack update fails.
Any suggestion or alternative approaches for this?










share|improve this question



























    -3















    I have a docker stack deployed with 20+ services which comprise my application. I would like to know that is there a way to update this stack with the latest changes to the software from within one of the containers running as a part of the stack?



    Approach i have tried:




    1. In one of the containers for a service, mounted the docker socket and the /usr/bin/docker file and downloaded the latest compose file from the server.

    2. Instantiated a script which downloads the latest images

    3. Initiate a docker stack deploy with the new compose file


    Everything works fine this way but if the service which is running this process itself has an update and if that docker stack deploy tries to create this service before any other service in the stack, then the stack update fails.
    Any suggestion or alternative approaches for this?










    share|improve this question

























      -3












      -3








      -3








      I have a docker stack deployed with 20+ services which comprise my application. I would like to know that is there a way to update this stack with the latest changes to the software from within one of the containers running as a part of the stack?



      Approach i have tried:




      1. In one of the containers for a service, mounted the docker socket and the /usr/bin/docker file and downloaded the latest compose file from the server.

      2. Instantiated a script which downloads the latest images

      3. Initiate a docker stack deploy with the new compose file


      Everything works fine this way but if the service which is running this process itself has an update and if that docker stack deploy tries to create this service before any other service in the stack, then the stack update fails.
      Any suggestion or alternative approaches for this?










      share|improve this question














      I have a docker stack deployed with 20+ services which comprise my application. I would like to know that is there a way to update this stack with the latest changes to the software from within one of the containers running as a part of the stack?



      Approach i have tried:




      1. In one of the containers for a service, mounted the docker socket and the /usr/bin/docker file and downloaded the latest compose file from the server.

      2. Instantiated a script which downloads the latest images

      3. Initiate a docker stack deploy with the new compose file


      Everything works fine this way but if the service which is running this process itself has an update and if that docker stack deploy tries to create this service before any other service in the stack, then the stack update fails.
      Any suggestion or alternative approaches for this?







      docker docker-compose dockerfile docker-swarm auto-update






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      share|improve this question











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      share|improve this question










      asked Nov 22 '18 at 6:10









      AnujAnuj

      1461319




      1461319
























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          The standard way to do this is to build a new Docker image that contains your new application code. Tag it (as in the docker build -t argument) with some unique version, like a source control tag or date stamp. Start a new container with the new application code, then stop and delete the old container.



          As a general rule you do not upgrade the software inside a running container. Delete the old container and start a new container with the software and version you want. Also, this is generally managed by an operator, a continuous deployment system, or an orchestration system, not by the container itself. (Mounting the Docker socket into a container is a significant security exposure.)



          (Imagine setting up a second copy of your cluster that works exactly the same way as your production cluster, except that it has the software you want to deploy tomorrow. You don't want your production cluster picking that up on its own until you've tested it. This scheme should give you a reproducible deployment setup so that it's easy to start that pre-production cluster, but also give you control over which specific versions are running where.)






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            The standard way to do this is to build a new Docker image that contains your new application code. Tag it (as in the docker build -t argument) with some unique version, like a source control tag or date stamp. Start a new container with the new application code, then stop and delete the old container.



            As a general rule you do not upgrade the software inside a running container. Delete the old container and start a new container with the software and version you want. Also, this is generally managed by an operator, a continuous deployment system, or an orchestration system, not by the container itself. (Mounting the Docker socket into a container is a significant security exposure.)



            (Imagine setting up a second copy of your cluster that works exactly the same way as your production cluster, except that it has the software you want to deploy tomorrow. You don't want your production cluster picking that up on its own until you've tested it. This scheme should give you a reproducible deployment setup so that it's easy to start that pre-production cluster, but also give you control over which specific versions are running where.)






            share|improve this answer




























              0














              The standard way to do this is to build a new Docker image that contains your new application code. Tag it (as in the docker build -t argument) with some unique version, like a source control tag or date stamp. Start a new container with the new application code, then stop and delete the old container.



              As a general rule you do not upgrade the software inside a running container. Delete the old container and start a new container with the software and version you want. Also, this is generally managed by an operator, a continuous deployment system, or an orchestration system, not by the container itself. (Mounting the Docker socket into a container is a significant security exposure.)



              (Imagine setting up a second copy of your cluster that works exactly the same way as your production cluster, except that it has the software you want to deploy tomorrow. You don't want your production cluster picking that up on its own until you've tested it. This scheme should give you a reproducible deployment setup so that it's easy to start that pre-production cluster, but also give you control over which specific versions are running where.)






              share|improve this answer


























                0












                0








                0







                The standard way to do this is to build a new Docker image that contains your new application code. Tag it (as in the docker build -t argument) with some unique version, like a source control tag or date stamp. Start a new container with the new application code, then stop and delete the old container.



                As a general rule you do not upgrade the software inside a running container. Delete the old container and start a new container with the software and version you want. Also, this is generally managed by an operator, a continuous deployment system, or an orchestration system, not by the container itself. (Mounting the Docker socket into a container is a significant security exposure.)



                (Imagine setting up a second copy of your cluster that works exactly the same way as your production cluster, except that it has the software you want to deploy tomorrow. You don't want your production cluster picking that up on its own until you've tested it. This scheme should give you a reproducible deployment setup so that it's easy to start that pre-production cluster, but also give you control over which specific versions are running where.)






                share|improve this answer













                The standard way to do this is to build a new Docker image that contains your new application code. Tag it (as in the docker build -t argument) with some unique version, like a source control tag or date stamp. Start a new container with the new application code, then stop and delete the old container.



                As a general rule you do not upgrade the software inside a running container. Delete the old container and start a new container with the software and version you want. Also, this is generally managed by an operator, a continuous deployment system, or an orchestration system, not by the container itself. (Mounting the Docker socket into a container is a significant security exposure.)



                (Imagine setting up a second copy of your cluster that works exactly the same way as your production cluster, except that it has the software you want to deploy tomorrow. You don't want your production cluster picking that up on its own until you've tested it. This scheme should give you a reproducible deployment setup so that it's easy to start that pre-production cluster, but also give you control over which specific versions are running where.)







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 22 '18 at 18:52









                David MazeDavid Maze

                15.7k31531




                15.7k31531
































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