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Cgroups can limit or distribute CPU time, memory, task counts, and configured device I/O among processes on a Linux host. They cannot, by themselves, guarantee smooth game ticks, reserve an exclusive CPU core, control every kind of network contention, or provide a complete security boundary. What they achieve depends on which controllers the host exposes and how its cgroup hierarchy is configured.
What cgroups isolate on a shared game server
Linux control groups, or cgroups, arrange processes in a hierarchy and let the kernel account for and control resource use through enabled controllers. A game server placed in a cgroup can be subject to resource settings that affect it and, depending on the hierarchy, its descendants. This is resource management—not a promise that the server will behave as if it had a private machine.
The controls are conditional: a controller must be supported and available in the host’s hierarchy. On cgroup v2, controllers are enabled through that hierarchy, with resource distribution organized top-down. A controller might be unavailable because it is unsupported, disabled, or attached to a cgroup v1 hierarchy instead. The Linux kernel’s cgroup v2 documentation describes these interfaces and constraints.
CPU: relative share is not a dedicated core
CPU settings can influence how a process group competes for processor time, but two different controls are easy to confuse:
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- Relative weight: In cgroup v2,
cpu.weightexpresses a relative share for supported scheduler classes. It matters when groups contend for CPU; it does not reserve a fixed amount of processor capacity when the host is otherwise idle. - Bandwidth ceiling:
cpu.maxlimits CPU bandwidth for eligible fair-class processes, or supported BPF schedulers. If the group uses up its allowance for a period, it can be throttled until bandwidth becomes available again.
Neither setting pins a game server to a physical core or guarantees exclusive hardware. CPU placement is a separate concern, and a weight or quota is not equivalent to a CPU-set or dedicated-core arrangement. A quota may also contribute to stalls if the server exhausts its allowance at a busy point in its workload.
To see whether a group is being throttled, inspect its cpu.stat file. The kernel documents usage counters such as usage_usec and, when the relevant controller is enabled, nr_throttled and throttled_usec. These can show that the group is hitting its own bandwidth limit; they do not prove that this is the sole cause of observed lag. Host scheduling, storage, memory pressure, and other bottlenecks may also affect latency.
Memory: protection and caps have different failure behavior
Memory controls can keep one server from consuming resources needed by co-tenants, but a boundary can make the limited server slower or cause it to fail under pressure.
memory.lowis a best-effort protection boundary.memory.minprovides hard protection up to its effective boundary.memory.highapplies reclaim pressure and throttles a group above the boundary. It does not invoke an out-of-memory kill by itself.memory.maxis the main hard usage limit. If reclaim cannot bring usage down, the cgroup’s OOM handling can kill processes within that group.
These settings are not interchangeable: protection influences how memory is reclaimed under pressure, while a hard cap can force a workload into reclaim or termination. The kernel’s cgroup v2 documentation describes their behavior.
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Storage I/O: device limits, not a latency guarantee
When the I/O controller is available and configured, the cgroup v2 io.max interface can limit bytes per second (BPS), operations per second (IOPS), or both for a device. This is a device-I/O control. It should not be read as a guarantee of storage latency or as protection from every form of contention elsewhere in the storage path.
Network contention and security are separate questions
The cgroup controls covered here do not establish a general network-bandwidth control for a game server. Do not infer that CPU, memory, or device-I/O settings shape network traffic or eliminate network contention.
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Cgroups are also not a complete security boundary. They govern resource accounting and distribution; process visibility and access restrictions require appropriate complementary mechanisms, such as namespaces and access controls. A cgroup alone should not be treated as full container isolation.
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Managing cgroups on a systemd host
On systemd-managed hosts, systemd owns and organizes the cgroup tree and provides resource controls for service, slice, and scope units. Its settings include controls such as CPUWeight= and TasksMax=; the systemd resource-control manual explains that controller activation is hierarchical and that settings can enable relevant controllers as needed. Check the installed systemd version and the unit’s actual configuration before relying on a particular setting.
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If a service needs to create and manage child cgroups, it needs a delegated subtree. The systemd project states: “Services must set Delegate=yes for the units they intend to manage subcgroups of.” Its “The New Control Group Interfaces” guidance also warns against directly manipulating cgroups outside delegated units. On a systemd host, use systemd resource-control settings or a properly delegated subtree rather than competing with the service manager’s ownership of the hierarchy.
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Before attributing a tick-time problem to a noisy neighbor, verify both that the intended control is active and that the workload shows signs of hitting it. Useful evidence includes:
- Which cgroup version and controllers the host exposes, and whether the relevant controller is enabled in the hierarchy.
- The game server’s effective unit settings and its position in the cgroup tree.
- CPU usage and throttling counters in
cpu.statwhen investigating a CPU bandwidth limit. - Memory events and pressure, alongside whether the configured boundary is a protection threshold, a reclaim-and-throttle threshold, or a hard cap.
- Host-level measurements and workload-specific observation, since kernel resource controls do not by themselves establish a user-visible latency result.
There is no universally safe weight, quota, or memory cap for every game server. Appropriate values depend on the host’s CPU topology, kernel and systemd versions, game workload, and co-tenant activity. A cgroup can constrain resource use and change how contention is distributed; whether that produces acceptable game performance has to be assessed on the actual host.
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