Limit a container's resources

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By default, a container has no resource constraints and can use as much of a given resource as the host’s kernel scheduler will allow. Docker provides ways to control how much memory, CPU, or block IO a container can use, setting runtime configuration flags of the docker run command. This section provides details on when you should set such limits and the possible implications of setting them.


Understand the risks of running out of memory

It is important not to allow a running container to consume too much of the host machine’s memory. On Linux hosts, if the kernel detects that there is not enough memory to perform important system functions, it throws an OOME, or Out Of Memory Exception, and starts killing processes in order to free up memory. Any process is subject to killing, including Docker and other important applications. This can effectively bring the entire system down if the wrong process is killed.

Docker attempts to mitigate these risks by adjusting the OOM priority on the Docker daemon so that it will be less likely to be killed than other processes on the system. The OOM priority on containers is not adjusted. This makes it more likely that an individual container will be killed than that the Docker daemon or other system processes will be killed. You should not try to circumvent these safeguards by manually setting --oom-score-adj to an extreme negative number on the daemon or a container, or by setting --oom-disable-kill on a container.

For more information about the Linux kernel’s OOM management, see Out of Memory Management.

You can mitigate the risk of system instability due to OOME by:

  • Perform tests to understand the memory requirements of your application before placing it into production.
  • Ensure that your application runs only on hosts with adequate resources.
  • Limit the amount of memory your container can use, as described below.
  • Be mindful when configuring swap on your Docker hosts. Swap is slower and less performant than memory but can provide a buffer against running out of system memory.
  • Consider converting your container to a service, and using service-level constraints and node labels to ensure that the application runs only on hosts with enough memory

Limit a container’s access to memory

Docker can enforce hard memory limits, which allow the container to use no more than a given amount of user or system memory, or soft limits, which allow the container to use as much memory as it needs unless certain conditions are met, such as when the kernel detects low memory or contention on the host machine. Some of these options have different effects when used alone or when more than one option is set.

Most of these options take a positive integer, followed by a suffix of b, k, m, g, to indicate bytes, kilobytes, megabytes, or gigabytes.

-m or --memory=The maximum amount of memory the container can use. If you set this option, the minimum allowed value is 4m (4 megabyte).
--memory-swap*The amount of memory this container is allowed to swap to disk. See --memory-swap details.
--memory-swappinessBy default, the host kernel can swap out a percentage of anonymous pages used by a container. You can set --memory-swappiness to a value between 0 and 100, to tune this percentage. See --memory-swappiness details.
--memory-reservationAllows you to specify a soft limit smaller than --memory which is activated when Docker detects contention or low memory on the host machine. If you use --memory-reservation, it must be set lower than --memory in order for it to take precedence. Because it is a soft limit, it does not guarantee that the container will not exceed the limit.
--kernel-memoryThe maximum amount of kernel memory the container can use. The minimum allowed value is 4m. Because kernel memory cannot be swapped out, a container which is starved of kernel memory may block host machine resources, which can have side effects on the host machine and on other containers. See --kernel-memory details.
--oom-kill-disableBy default, if an out-of-memory (OOM) error occurs, the kernel kills processes in a container. To change this behavior, use the --oom-kill-disable option. Only disable the OOM killer on containers where you have also set the -m/--memory option. If the -m flag is not set, the host can run out of memory and the kernel may need to kill the host system’s processes to free memory.

For more information about cgroups and memory in general, see the documentation for Memory Resource Controller.

--memory-swap details

--memory-swap is a modifier flag that only has meaning if --memory is also set. Using swap allows the container to write excess memory requirements to disk when the container has exhausted all the RAM that is available to it. There is a performance penalty for applications that swap memory to disk often.

Its setting can have complicated effects:

  • If --memory-swap is set to a positive integer, then both --memory and --memory-swap must be set. --memory-swap represents the total amount of memory and swap that can be used, and --memory controls the amount used by non-swap memory. So if --memory="300m" and --memory-swap="1g", the container can use 300m of memory and 700m (1g - 300m) swap.

  • If --memory-swap is set to 0, the setting is ignored, and the value is treated as unset.

  • If --memory-swap is set to the same value as --memory, and --memory is set to a positive integer, the effect is the same as setting --memory-swap to 0 (the value is treated as unset).

  • If --memory-swap is unset, and --memory is set, the container can use twice as much swap as the --memory setting, if the host container has swap memory configured. For instance, if --memory="300m" and --memory-swap is not set, the container can use 300m of memory and 600m of swap.

  • If --memory-swap is explicitly set to -1, the container is allowed to use unlimited swap, up to the amount available on the host system.

--memory-swappiness details

  • A value of 0 turns off anonymous page swapping.
  • A value of 100 sets all anonymous pages as swappable.
  • By default, if you do not set --memory-swappiness, the value is inherited from the host machine.

--kernel-memory details

Kernel memory limits are expressed in terms of the overall memory allocated to a container. Consider the following scenarios:

  • Unlimited memory, unlimited kernel memory: This is the default behavior.
  • Unlimited memory, limited kernel memory: This is appropriate when the amount of memory needed by all cgroups is greater than the amount of memory that actually exists on the host machine. You can configure the kernel memory to never go over what is available on the host machine, and containers which need more memory need to wait for it.
  • Limited memory, umlimited kernel memory: The overall memory is limited, but the kernel memory is not.
  • Limited memory, limited kernel memory: Limiting both user and kernel memory can be useful for debugging memory-related problems. If a container is using an unexpected amount of either type of memory, it will run out of memory without affecting other containers or the host machine. Within this setting, if the kernel memory limit is lower than the user memory limit, running out of kernel memory will cause the container to experience an OOM error. If the kernel memory limit is higher than the user memory limit, the kernel limit will not cause the container to experience an OOM.

When you turn on any kernel memory limits, the host machine tracks “high water mark” statistics on a per-process basis, so you can track which processes (in this case, containers) are using excess memory. This can be seen per process by viewing /proc/<PID>/status on the host machine.


By default, each container’s access to the host machine’s CPU cycles is unlimited. You can set various constraints to limit a given container’s access to the host machine’s CPU cycles. Most users will use and configure the default CFS scheduler. In Docker 1.13 and higher, you can also configure the realtime scheduler.

Configure the default CFS scheduler

The CFS is the Linux kernel CPU scheduler for normal Linux processes. Several runtime flags allow you to configure the amount of access to CPU resources your container has. When you use these settings, Docker modifies the settings for the container’s cgroup on the host machine.

--cpus=<value>Specify how much of the available CPU resources a container can use. For instance, if the host machine has two CPUs and you set --cpus="1.5", the container will be guaranteed to be able to access at most one and a half of the CPUs. This is the equivalent of setting --cpu-period="100000" and --cpu-quota="150000". Available in Docker 1.13 and higher.
--cpu-period=<value>Specify the CPU CFS scheduler period, which is used alongside --cpu-quota. Defaults to 1 second, expressed in micro-seconds. Most users do not change this from the default. If you use Docker 1.13 or higher, use --cpus instead.
--cpu-quota=<value>Impose a CPU CFS quota on the container. The number of microseconds per --cpu-period that the container is guaranteed CPU access. In other words, cpu-quota / cpu-period. If you use Docker 1.13 or higher, use --cpus instead.
--cpuset-cpusLimit the specific CPUs or cores a container can use. A comma-separated list or hyphen-separated range of CPUs a container can use, if you have more than one CPU. The first CPU is numbered 0. 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).
--cpu-sharesSet this flag to a value greater or less than the default of 1024 to increase or reduce the container’s weight, and give it access to a greater or lesser proportion of the host machine’s CPU cycles. This is only enforced when CPU cycles are constrained. When plenty of CPU cycles are available, all containers use as much CPU as they need. In that way, this is a soft limit. --cpu-shares does not prevent containers from being scheduled in swarm mode. It prioritizes container CPU resources for the available CPU cycles. It does not guarantee or reserve any specific CPU access.

If you have 1 CPU, each of the following commands will guarantee the container at most 50% of the CPU every second.

Docker 1.13 and higher:

docker run -it --cpus=".5" ubuntu /bin/bash

Docker 1.12 and lower:

$ docker run -it --cpu-period=100000 --cpu-quota=50000 ubuntu /bin/bash

Configure the realtime scheduler

In Docker 1.13 and higher, you can configure your container to use the realtime scheduler, for tasks which cannot use the CFS scheduler. You need to make sure the host machine’s kernel is configured correctly before you can configure the Docker daemon or configure individual containers.

Warning: CPU scheduling and prioritization are advanced kernel-level features. Most users do not need to change these values from their defaults. Setting these values incorrectly can cause your host system to become unstable or unusable.

Configure the host machine’s kernel

Verify that CONFIG_RT_GROUP_SCHED is enabled in the Linux kernel by running zcat /proc/config.gz | grep CONFIG_RT_GROUP_SCHED or by checking for the existence of the file /sys/fs/cgroup/cpu.rt_runtime_us. For guidance on configuring the kernel realtime scheduler, consult the documentation for your operating system.

Configure the Docker daemon

To run containers using the realtime scheduler, run the Docker daemon with the --cpu-rt-runtime flag set to the maximum number of microseconds reserved for realtime tasks per runtime period. For instance, with the default period of 10000 microseconds (1 second), setting --cpu-rt-runtime=95000 ensures that containers using the realtime scheduler can run for 95000 microseconds for every 10000-microsecond period, leaving at least 5000 microseconds available for non-realtime tasks. To make this configuration permanent on systems which use systemd, see Control and configure Docker with systemd.

Configure individual containers

You can pass several flags to control a container’s CPU priority when you start the container using docker run. Consult your operating system’s documentation or the ulimit command for information on appropriate values.

--cap-add=sys_niceGrants the container the CAP_SYS_NICE capability, which allows the container to raise process nice values, set real-time scheduling policies, set CPU affinity, and other operations.
--cpu-rt-runtime=<value>The maximum number of microseconds the container can run at realtime priority within the Docker daemon’s realtime scheduler period. You also need the --cap-add=sys_nice flag.
--ulimit rtprio=<value>The maximum realtime priority allowed for the container. You also need the --cap-add=sys_nice flag.

The following example command sets each of these three flags on a debian:jessie container.

$ docker run --it --cpu-rt-runtime=95000 \
                  --ulimit rtprio=99 \
                  --cap-add=sys_nice \

If the kernel or Docker daemon is not configured correctly, an error will occur.

docker, daemon, configuration