Docker Namespace Vs Cgroup
2 min readOct 22, 2021

Namespace and Cgroup
- Linux Containers that they run are powered by two underlying Linux Kernel technologies: cgroups and namespaces.
- When you start a container, behind the scenes, Docker creates a set of namespaces and control groups for the container.
What is Namespace?

- Namespaces provide a layer of isolation for containers.
- Each aspect of a container runs in a separate namespace and its access is limited to that namespace.
- When you run a container, Docker creates a set of namespaces for that container.
- Namespace makes processes running inside that namespace believe they have their own instance of that resource.
- A namespace can limit visibility to certain process trees, network interfaces, user IDs, or filesystem mounts.
Docker Engine uses the following namespaces on Linux
- PID — It is used to assign a set of PIDs to processes that are independent of the set of PIDs in other namespaces.
- Network namespace is for managing network interfaces such as private routing tables, set of IP addresses, socket listings, firewalls, etc.
- Interprocess communication (IPC) namespace has its own IPC resources, for example, POSIX message queues.
- Mount namespace has an independent list of mount points for managing filesystem mount points.
- UNIX Time-Sharing (UTS) namespace allows a single system to appear to have different host and domain names to different processes.
What is Cgroup?

- A control group (cgroup) is a Linux kernel feature that limits an application to a specific set of resource usage (CPU, memory, disk I/O, network, and so on).
- Control groups allow Docker Engine to share available hardware resources to containers and optionally enforce limits and constraints.
- For example, you can limit the memory available to a specific container.
Cgroups involve resource metering and limiting:
- memory
- CPU
- block I/O
- network
For example,
To run an instance of an Ubuntu container and set the memory limit to 1 GB and access to 1 CPU the command is:
sudo docker run -it --memory="1g" -cpus="1.0" ubuntu