![]() sudo grep -i -r 'out of memory' /var/log/ You can search the logs for messages of out of memory alerts. ![]() If a task gets killed to save memory, it gets logged into various log files stored at /var/log/ Suddenly killed tasks are often the result of the system running out of memory, which is when the so-called Out-of-memory (OOM) killer steps in. Try UpCloud for free! Deploy a server in just 45 seconds Process stopped unexpectedly ![]() This debugging guide aims to explain how to identify how much of the resources are actually being used, and how to recognise real resource outage issues. The system holds a lot more in RAM than just application data, most importantly mirrored data from storage drives for faster access. Linux by its design aims to use all of the available physical memory as efficiently as possible, in practice, the Linux kernel follows a basic rule that a page of free RAM is wasted RAM. Note: that the legacy resource options in docker compose v2 are now limited to stacks in the migration to v3.Some unexpected behaviour on the server side may at times be caused by system resource limitations. These options are also available via docker-compose, when deploying a Docker swarm / stack, as mentioned in Compose file version 3 reference under resources: version: '3' A valid value might be 0-3 (to use the first, second, third, and fourth CPU) or 1,3 (to use the second and fourth CPU). A comma-separated list or hyphen-separated range of CPUs a container can use, if you have more than one CPU. -cpuset-cpus - Limit the specific CPUs or cores a container can use.This is the equivalent of setting -cpu-period="100000" and -cpu-quota="150000". For instance, if the host machine has two CPUs and you set -cpus="1.5", the container is guaranteed at most one and a half of the CPUs. -cpus= - Specify how much of the available CPU resources a container can use. ![]() ![]() Have a look at the CFS scheduler options available with docker run from Limit a container's resources in the Docker documentation, such as: Docker offers up resource management options for limiting the cpu access for running docker containers. ![]()
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