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Калькулятор ресурсов контейнера Docker

ДанныеРазработчик

ВХОД

Автоматический процесс

ВЫХОД

Клиентская сторона

Свойство	Ценить
CPU Request	-
CPU Limit	-
CPU Request (millicores)	-
CPU Limit (millicores)	-
Memory Request	-
Memory Limit	-
Total CPU (all containers)	-
Total Memory (all containers)	-

Docker Run Command

Docker --memory and --cpus flags

Kubernetes YAML

Kubernetes resources.requests / limits

РЕКЛАМА · УДАЛЯТЬ?

Гид

Калькулятор ресурсов контейнера Docker

Quickly calculate recommended CPU and memory resource limits for Docker containers and Kubernetes deployments. Select a workload type, enter your host resources, and get precise values for Docker run flags and Kubernetes resource manifests — no guesswork required.

Как использовать

Select a workload type (web server, database, cache, ML inference, or custom)
Enter your host CPU cores и RAM in GB
Set the number of containers to split resources across
View the calculated resource table, Docker run command, and Kubernetes YAML

Функции

Workload Presets – Built-in resource profiles for common workloads: web server, background worker, database, cache, and ML inference
Custom Mode – Define your own CPU and memory request/limit values
Multi-Container Splitting – Automatically divides host resources across multiple containers
Capacity Warnings – Alerts you when total resource limits exceed host capacity
Docker Run Flags – Generates ready-to-use –memory and –cpus flags
Kubernetes YAML – Outputs resources.requests and resources.limits in YAML format with millicores
Auto-Calculate – Results update instantly as you change inputs

 Часто задаваемые вопросы

What is the difference between resource requests and limits in Kubernetes?

Resource requests define the minimum resources a container needs to be scheduled on a node. Limits define the maximum resources a container can use. If a container exceeds its memory limit, it gets killed (OOMKilled). If it exceeds CPU limits, it gets throttled.
How do Docker --memory and --cpus flags work?

The --memory flag sets a hard memory limit for the container. If the process inside tries to use more, Docker kills it. The --cpus flag limits how much CPU time the container can use — for example, --cpus=0.5 means the container can use 50% of one CPU core.
What are millicores in Kubernetes?

Millicores are a way to express fractional CPU resources. 1 CPU core equals 1000 millicores (1000m). So 250m means 25% of one CPU core. This allows fine-grained resource allocation for containers that don't need a full core.
Why should I set resource limits on containers?

Without resource limits, a single container can consume all available host resources, starving other containers. Setting limits ensures fair resource distribution, prevents out-of-memory crashes from affecting the host, and is required for Kubernetes Quality of Service (QoS) classes.