When one inspects a docker container, they’ll find the following fields, regarding CPU Limits: >docker inspect my_container | grep Cpu "CpuShares": 0, "NanoCpus": 4000000000, "CpuPeriod": 0, "CpuQuota": 0, "CpuRealtimePeriod": 0, "CpuRealtimeRuntime": 0, "CpusetCpus": "", "CpusetMems": "", "CpuCount": 0, "CpuPercent": 0, 1 – I am wondering what exactly is the difference between CpuCount and NanoCpus? Which ..
I have been researching over on how to provide Python subprocess it’s own time and memory. import resource import subprocess def set_memory_time(seconds): limit_virtual_memory(seconds) usage_start = resource.getrusage(resource.RUSAGE_CHILDREN) print("usage_start ", usage_start) try: p = subprocess.check_output( [‘docker exec -it cpp_compiler sh -c "g++ -o Test1 prog1.cpp && ./Test1 < input.txt"’], shell=True) except Exception as e: print(e) usage_end = ..
In my SpringBoot application I have to read a Json file at this path src/main/resources/mock/fileName.json. I done it in this way JsonReader jsonReaderStream = new JsonReader(new InputStreamReader(Objects.requireNonNull(ClassLoader.getSystemClassLoader().getResourceAsStream("./mock/fileName.json")))); It works locally but when I deploy my docker file on Kubernetes and I try to read my Json file I received a FileNotFoundException. I use gradle for ..
This may be an arguable question, and I’m aware that one can pass options with limits to container Docker Desktop for macOS offers this functionality via Preferences > Resources > Advanced. However, to my knowledge a webserver running docker does not offer this (gui) functionality. Is it possible to set resource constraints on a global ..
I am managing a high spec computer node with multiple GPUs, multiples cores and RAM. The idea is that users can share this resource by deploying Docker containers to run training on data that is accessible by this computer. I have a Node back end that is used to create and clean up containers on ..
I am using Docker on shared super computer for users to deploy their images and run containers. The shared super computer has several GPUs, RAM and CPU cores on an Ubuntu distro. I would like to constrain Docker container resources (CPU, RAM and GPU count), which I believe I have solution(s) to stop users hoarding ..
I have a linux server with 100 GB of RAM & 56 core, I run docker container with limit in memory and cpu and I use Cgroup too (I limit memory & cpu to 50G & 20 core). with all that when I use top or htop in docker container I can see all of ..
I am working on a project to allocate tasks to the containers. Since my major is not Computer science, I am not familiar with the mathematical theory behind that. The question which I am going to ask is regarding the computation time of Docker containers. I am copying a part of an article that confuses ..