We already talked about containers and especially about Docker, the container management tool most used in the IT field lately. In today’s post we will show you 4 ways to use Docker you never though about.
The scientific validity of an experiment is based on its repeatability. Often, to verify the credibility of a new study you need to replicate even the experiment’s working environment and conditions. How to deliver the appropriate tools to check the correctness of scientific publications and papers? Using Docker. Indeed Docker, thanks to the container technique, represents the ideal solutions to get the replicability of experiments, by making available the same working environment used in the research to anyone who wants to check it.
2. Deploy over the clouds (literally!)
An interesting intervention has caused surprise among the audience of DockerCon 2016: a drone’s software was updated while it was still flying. Something you can’t believe. Bu with containers you can, and we have the proof. Thanks to Docker it was possible to update the drone’s software during the flight, by starting a container in parallel with the new program which, once updated, replaced the original container, after having received the transferring data. Therefore, with Docker you can manage remotely the application deployment but especially with just 50-200 ms of transfer waiting time from one container to another.
Containers don’t need manual configurations, so you can save a lot of time in the working environment preparation. Often for students this is one of the most problematic stage. Using the container management system you stop losing your time and get a superior quality education.
4. Local stacks management
Docker is a valid tool also for local stacks management. The continuous software updates risk to create conflicts of version and incompatibilities hard to solve. Thanks to containers, this kind of issue is easily avoided. The applications/services can be written with any programming language without generating any system conflict. Indeed, containers are isolated and independent environments into which you can insert the application with all its dependencies, bootable on any machine that deploys Docker.