Начальный Квартал кода

Docker

Упаковывайте и доставляйте что угодно в контейнерах.

Docker packs your app and everything it needs into one standard package, an image, so it runs the same way on your laptop, in CI and on the production server. Teams use it to run websites, APIs, databases and caches as separate containers, and to pin production images by digest.

This track starts with your first docker run and takes you through fast, small Dockerfiles, multi-stage builds, Compose with networks and volumes, secrets done right, releases pinned by digest, and debugging in production. At the end you will see what Kubernetes adds on top.

Уроки: 18
Время: 2 ч
Уровень: Начальный

Начать курс · Why Docker?

Уроки этого курса пока на английском.

Бронза доступна
Серебро доступна
Золото закрыта

Готовы это доказать?

Вас ждут три экзамена: бронза, серебро и золото.

К экзаменам

Чему вы научитесь

Explain images, containers and layers, and run any service with docker run
Write fast, cache-friendly Dockerfiles and small multi-stage images for Go and Node.js
Run a full stack (website, API and PostgreSQL) from one compose.yaml
Keep data, configuration and secrets safe with volumes, environment variables and secret files
Ship images pinned by digest, then read logs, set limits and debug containers in production
Know what Kubernetes adds, and when one Compose host is enough

Маршрут

1
Модуль 1
Containers from zero

What Docker solves, images versus containers, and the commands you will type every day.

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2
Модуль 2
Building images

Write Dockerfiles, understand layers, and make rebuilds take seconds.

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3
Модуль 3
Production-ready images

Multi-stage builds, distroless and scratch, non-root users, healthchecks and scanning.

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4
Модуль 4
One stack, one command

Describe the website, the API and PostgreSQL in one compose.yaml, with networks and volumes.

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5
Модуль 5
Config, secrets and releases

Pass configuration safely, never bake secrets into images, and release images pinned by digest.

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6
Модуль 6
Running in production

Logs, resource limits and debugging, then what Kubernetes adds on top of containers.

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