Containers: IBM, Yan Vugenfirer and HPC
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IBM attempts to graft virtual machine security onto container flexibility
IBM researchers have developed a new flavor of software container in an effort to create code that's more secure than Docker and similar shared kernel container systems.
Docker and its ilk are considered less secure than VMs because the compromise of a shared kernel puts all associated containers at risk. With VMs, the kernel is separate from the host kernel, which reduces the risk of collateral damage.
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Using Linux Containers to Manage Embedded Build Environments
Linux container technology has been proposed by companies like Resin.io as a simpler and more secure way to deploy embedded devices. And, Daynix Computing has developed an open source framework called Rebuild that uses Linux containers in the build management process of embedded IoT development. At the 2017 Open Source Summit, Daynix “virtualization expert” Yan Vugenfirer gave a presentation on Rebuild called “How Linux Containers can Help to Manage Development Environments for IoT and Embedded Systems.”
Vugenfirer started by reminding the audience of the frustrations of embedded development, especially when working with large, complex projects. “You’re dealing with different toolchains, SDKs, and compilers all with different dependencies,” he said. “It gets more complicated if you need to update packages, or change SDKs, or run a codebase over several devices. The code may compile on your machine, but there may be problems in the build server or in the CI (continuous integration) server.”
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Building Containers with HPC Container Maker
Containers package entire workflows, including software, libraries, and even data, into a single file. The container can then be run on any compatible hardware that can run the container type, regardless of the underlying operating system.
Containers are finding increased utility in the worlds of scientific computing, deep learning, HPC, machine learning, and artificial intelligence, because they are reproducible, portable (mobility of compute), user friendly (admins don’t have to install everything), and simple, and they isolate resources, reduce complexity (reduction in dependencies), and make it easy to distribute the application and dependencies.
Using containers, you have virtually everything you need in a single file, including a base operating system (OS), the application or workflow (multiple applications), and all of the dependencies. Sometimes the data is also included in the container, although it is not strictly necessary because you can mount filesystems with the data from the container.
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