release: версия 0.0.10

Новый раздел про container-exporter/docker-socket-proxy: зачем свой
экспортер вместо cAdvisor, какие метрики отдаёт, почему доступ к
докер-сокету через прокси безопасен. Дополнена таблица метрик backend
(vidconf_host_info).

.env.example

@@ -98,7 +98,7 @@ SMTP_TIMEOUT_S=30
 # --- Версия инстанса (релиз v0.0.1) ---
 # install.sh копирует значение из корневого файла VERSION при каждой
 # установке/обновлении — руками менять не нужно.
-VIDCONF_VERSION=0.0.7
+VIDCONF_VERSION=0.0.10
 
 # --- Профили compose. Дефолт ниже (`media,monitoring`) — только для ручного
 # `docker compose up` БЕЗ install.sh: медиа (LiveKit+coturn) + мониторинг,

CHANGELOG.md

@@ -3,6 +3,68 @@
 Формат основан на [Keep a Changelog](https://keepachangelog.com/ru/1.1.0/),
 проект придерживается [семантического версионирования](https://semver.org/lang/ru/).
 
+## [0.0.10] — 2026-07-28
+
+Разбивка метрик по контейнерам в Grafana и плашка с характеристиками сервера.
+
+### Добавлено
+- Метрики по контейнерам (CPU/память/сеть каждого отдельно) — замена
+  `cAdvisor`, несовместимого с containerd-снапшоттером Docker Engine на
+  сервере `1gb` (убран в `0.0.9`). Свой минимальный сервис
+  `container-exporter` (`deploy/monitoring/container-exporter/`) опрашивает
+  Docker Engine API параллельно в фоновой задаче, независимо от
+  storage-driver'а. Доступ к докер-сокету изолирован через
+  `docker-socket-proxy` — экспортеру разрешены только `GET`-запросы по
+  контейнерам, любые изменяющие запросы блокируются на уровне прокси.
+  Панели «Топ контейнеров по CPU/памяти» вернулись в дашборд
+  «Хост и контейнеры».
+- Плашка «Характеристики сервера» в том же дашборде: живые «Ядра CPU» /
+  «Объём RAM» / «Диск (/)» из `node-exporter`, GPU — из новой info-метрики
+  backend `vidconf_host_info` (данные `install.sh`, `HW_*` в `.env`).
+
+## [0.0.9] — 2026-07-28
+
+Метрики CPU/RAM/диска хоста в Grafana; дефолтные подвкладки конференций и
+пользователей в админке.
+
+### Добавлено
+- Мониторинг железа: `node-exporter` (CPU/RAM/диск/сеть/load average хоста)
+  — профиль compose `monitoring`, без публикации портов наружу. Новый
+  дашборд Grafana «Хост и контейнеры». Три новых алерта Prometheus:
+  `HostMemoryLow`, `HostDiskLow`, `HostCpuHigh` (пороги — под сервер `1gb`:
+  8 ГБ RAM, 4 CPU, 50 ГБ диска). `cAdvisor` (разбивка по контейнерам)
+  сознательно не включён — несовместим с containerd-снапшоттером Docker
+  Engine на `1gb`, см. `docs/deploy/monitoring.md`.
+
+### Изменено
+- Админка, вкладка «Конференции»: вкладка «Все» перенесена в конец списка
+  фильтров (после «Завершённые»), по умолчанию открываются «Запланированные».
+- Админка, вкладка «Пользователи»: по умолчанию открываются «Активные»
+  (было «Все»).
+
+## [0.0.8] — 2026-07-27
+
+Админка: несколько mail-доменов для регистрации, фильтр и поиск по команде в
+списке пользователей, исправлен баг сохранения настроек.
+
+### Исправлено
+- Сохранение любой настройки инстанса блокировалось ошибкой «уровень AI
+  недоступен», даже если AI-модуль (транскрибация/суммаризация) выключен и
+  пользователь уровень не трогал — фронт отправлял в `PUT /admin/settings`
+  весь набор полей целиком, включая уже сохранённый `ai_level`. Теперь
+  доступность уровня проверяется только при его фактической смене; фронт
+  отправляет в запросе лишь реально изменённые поля.
+
+### Добавлено
+- «Эталон mail-домена» в настройках инстанса поддерживает несколько
+  доменов вместо одного — регистрация проходит с email с любого домена из
+  списка. Старое значение из БД (один домен) читается без миграции и
+  переписывается в новый формат при первом же сохранении.
+- В списке пользователей админки — вкладки «Активные»/«Заблокированные»/
+  «Все» перед полем поиска.
+- Поиск по пользователям учитывает и название команды — пользователи без
+  команды по-прежнему остаются в общей выдаче.
+
 ## [0.0.7] — 2026-07-27
 
 Настройки устройств: выбор аудиовывода и компактная шторка на мобильном.
@@ -183,6 +245,9 @@
 
 Первоначальная версия VidConf.
 
+[0.0.10]: https://github.com/MaxRonzhin/vidconf_rel/releases/tag/v0.0.10
+[0.0.9]: https://github.com/MaxRonzhin/vidconf_rel/releases/tag/v0.0.9
+[0.0.8]: https://github.com/MaxRonzhin/vidconf_rel/releases/tag/v0.0.8
 [0.0.7]: https://github.com/MaxRonzhin/vidconf_rel/releases/tag/v0.0.7
 [0.0.6]: https://github.com/MaxRonzhin/vidconf_rel/releases/tag/v0.0.6
 [0.0.5]: https://github.com/MaxRonzhin/vidconf_rel/releases/tag/v0.0.5

VERSION

@@ -1 +1 @@
-0.0.7
+0.0.10

backend/api/admin.py

@@ -13,7 +13,7 @@
 
 import uuid
 from pathlib import Path
-from typing import Annotated
+from typing import Annotated, Literal
 
 import anyio
 from fastapi import APIRouter, Depends, File, HTTPException, Query, UploadFile, status
@@ -174,12 +174,16 @@ async def send_conference_invitations(
 async def list_users(
     admin: Annotated[User, Depends(require_admin)],
     session: Annotated[AsyncSession, Depends(get_session)],
+    status: Annotated[Literal["active", "blocked"] | None, Query()] = None,
     q: Annotated[str | None, Query()] = None,
     limit: Annotated[int, Query(gt=0, le=MAX_LIMIT)] = DEFAULT_LIMIT,
     offset: Annotated[int, Query(ge=0)] = 0,
 ) -> AdminUserListOut:
-    """Список всех пользователей инстанса с текстовым поиском по email/имени."""
+    """Список пользователей инстанса — фильтр по статусу (`active`/`blocked`, без
-    rows, total = await AdminUserRepository(session).list_paginated(q=q, limit=limit, offset=offset)
+    параметра — все) и текстовый поиск по email/имени/названию команды."""
+    rows, total = await AdminUserRepository(session).list_paginated(
+        status=status, q=q, limit=limit, offset=offset
+    )
     media_root = _media_root()
     items = [
         _to_admin_user_out(user, team_name=team_name, media_root=media_root)

backend/api/metrics.py

@@ -1,15 +1,17 @@
-"""Метрики Prometheus: латентность HTTP + gauge'и пайплайна и очередей.
+"""Метрики Prometheus: латентность HTTP + gauge'и пайплайна, очередей и железа.
 
 `GET /metrics` — без авторизации (снаружи закрывается на уровне nginx, вне
 периметра backend, см. `docs/deploy/scaling.md`/monitoring-часть devops):
 Prometheus-серверы традиционно ходят напрямую в контейнер по внутренней
 сети, а не через публичный `/api/`-гейтвей.
 
-Gauge'и `vidconf_pipeline_sessions`/`vidconf_celery_queue_depth` намеренно
+Gauge'и `vidconf_pipeline_sessions`/`vidconf_celery_queue_depth`/
-НЕ обновляются фоновой задачей — значения пересчитываются прямо в обработчике
+`vidconf_host_info` намеренно НЕ обновляются фоновой задачей — значения
-запроса при каждом scrape (см. докстринг `metrics_endpoint`), поэтому их
+пересчитываются прямо в обработчике запроса при каждом scrape (см.
-асинхронные источники (БД, Redis) можно опросить обычным `await` вместо
+докстринг `metrics_endpoint`), поэтому их асинхронные источники (БД,
-реализации синхронного `prometheus_client.registry.Collector`.
+Redis) можно опросить обычным `await` вместо реализации синхронного
+`prometheus_client.registry.Collector` (у `vidconf_host_info` источник
+и вовсе синхронный — настройки уже в памяти процесса).
 """
 
 import time
@@ -20,6 +22,7 @@ from prometheus_client import CONTENT_TYPE_LATEST, Gauge, Histogram, generate_la
 from sqlalchemy.ext.asyncio import AsyncSession
 from starlette.routing import Match
 
+from core.config import get_settings
 from core.db import get_session
 from core.redis import redis_client
 from models.session import PIPELINE_STATUSES
@@ -110,6 +113,42 @@ async def _refresh_celery_queue_depth_gauge() -> None:
         CELERY_QUEUE_DEPTH.labels(queue=queue).set(depth)
 
 
+# --- Info-метрика обнаруженного железа (install.sh, ADR-004) ---------------
+
+HOST_INFO = Gauge(
+    "vidconf_host_info",
+    "Обнаруженное установщиком железо (info-метрика, значение всегда 1, данные в лейблах)",
+    labelnames=("cpus", "ram_mb", "gpu_name", "vram_mb"),
+)
+
+
+def _hw_label(value: int | None) -> str:
+    """`None` (install.sh не запускался либо GPU не обнаружен) → «—», не пустая строка.
+
+    Пустой лейбл Grafana отрисовала бы как пустой текст на панели —
+    прочерк однозначно читается как «не определено».
+    """
+    return str(value) if value is not None else "—"
+
+
+def _refresh_host_info_gauge() -> None:
+    """Пересчитать `vidconf_host_info` по текущим `HW_*` настройкам (`core/config.py`).
+
+    Источник — `install.sh`, который пишет `HW_CPUS`/`HW_RAM_MB`/
+    `HW_GPU_NAME`/`HW_VRAM_MB` в `.env` при установке (ADR-004). Живые
+    CPU/RAM/диск хоста в дашборде «Хост и контейнеры» берутся из
+    node-exporter напрямую — здесь только то, чего node-exporter не
+    знает (GPU), плюс дублирование CPU/RAM install.sh для сверки.
+    """
+    settings = get_settings()
+    HOST_INFO.labels(
+        cpus=_hw_label(settings.hw_cpus),
+        ram_mb=_hw_label(settings.hw_ram_mb),
+        gpu_name=settings.hw_gpu_name or "—",
+        vram_mb=_hw_label(settings.hw_vram_mb),
+    ).set(1)
+
+
 @router.get("/metrics")
 async def metrics_endpoint(session: AsyncSession = Depends(get_session)) -> Response:
     """Отдать метрики Prometheus в формате text exposition.
@@ -122,4 +161,5 @@ async def metrics_endpoint(session: AsyncSession = Depends(get_session)) -> Resp
     """
     await _refresh_pipeline_sessions_gauge(session)
     await _refresh_celery_queue_depth_gauge()
+    _refresh_host_info_gauge()
     return Response(content=generate_latest(), media_type=CONTENT_TYPE_LATEST)

backend/repositories/admin.py

@@ -2,7 +2,7 @@
 
 import uuid
 
-from sqlalchemy import func, or_, select
+from sqlalchemy import ColumnElement, func, or_, select
 from sqlalchemy.ext.asyncio import AsyncSession
 
 from models.conference import Conference
@@ -56,25 +56,37 @@ class AdminConferenceRepository:
 
 
 class AdminUserRepository:
-    """Постраничный список пользователей с текстовым поиском по email/имени."""
+    """Постраничный список пользователей с фильтром по статусу и текстовым поиском."""
 
     def __init__(self, session: AsyncSession) -> None:
         self._session = session
 
     async def list_paginated(
-        self, *, q: str | None, limit: int, offset: int
+        self, *, status: str | None, q: str | None, limit: int, offset: int
     ) -> tuple[list[tuple[User, str | None]], int]:
         """Вернуть страницу пользователей (+ имя команды) и общее число совпадений.
 
-        `LEFT JOIN` на `teams` — имя команды нужно карточке профиля/таблице
+        `status` — `"active"`/`"blocked"` (фильтр по `is_blocked`), `None` —
-        админки, у пользователя без команды — `None`.
+        без фильтра (все пользователи). `q` ищет по email/имени пользователя
+        И по названию команды (`LEFT JOIN` на `teams` — нужен и для этого
+        поиска, и для колонки «Команда» в таблице админки; `LEFT`, а не
+        `INNER`, — пользователи без команды не должны пропадать из общей
+        выдачи, только не совпадать с поиском по названию команды).
         """
-        filters = []
+        filters: list[ColumnElement[bool]] = []
+        if status == "active":
+            filters.append(User.is_blocked.is_(False))
+        elif status == "blocked":
+            filters.append(User.is_blocked.is_(True))
         if q:
             like = f"%{q}%"
-            filters.append(or_(User.email.ilike(like), User.name_user.ilike(like)))
+            filters.append(
+                or_(User.email.ilike(like), User.name_user.ilike(like), Team.name.ilike(like))
+            )
 
-        count_stmt = select(func.count()).select_from(User)
+        count_stmt = (
+            select(func.count()).select_from(User).outerjoin(Team, User.team_id == Team.id)
+        )
         items_stmt = (
             select(User, Team.name)
             .outerjoin(Team, User.team_id == Team.id)

backend/tests/test_admin_api.py

@@ -381,6 +381,67 @@ async def test_list_users_returns_all(client: httpx.AsyncClient, db_session: Asy
     assert all("email_verified" in item for item in items)
 
 
+async def test_list_users_filters_by_status(
+    client: httpx.AsyncClient, db_session: AsyncSession
+) -> None:
+    """`status=active`/`blocked` фильтрует по `is_blocked`; без параметра — все."""
+    admin = await _make_user(db_session, role="admin")
+    active_user = await _make_user(db_session)
+    blocked_user = await _make_user(db_session)
+    blocked_user.is_blocked = True
+    await db_session.commit()
+
+    active_response = await client.get(
+        "/api/v1/admin/users", params={"status": "active"}, headers=_auth_headers(admin)
+    )
+    assert active_response.status_code == 200, active_response.text
+    active_ids = [item["id"] for item in active_response.json()["items"]]
+    assert str(active_user.id) in active_ids
+    assert str(blocked_user.id) not in active_ids
+
+    blocked_response = await client.get(
+        "/api/v1/admin/users", params={"status": "blocked"}, headers=_auth_headers(admin)
+    )
+    assert blocked_response.status_code == 200, blocked_response.text
+    blocked_ids = [item["id"] for item in blocked_response.json()["items"]]
+    assert str(blocked_user.id) in blocked_ids
+    assert str(active_user.id) not in blocked_ids
+
+    all_response = await client.get("/api/v1/admin/users", headers=_auth_headers(admin))
+    all_ids = [item["id"] for item in all_response.json()["items"]]
+    assert str(active_user.id) in all_ids
+    assert str(blocked_user.id) in all_ids
+
+
+async def test_list_users_search_matches_team_name(
+    client: httpx.AsyncClient, db_session: AsyncSession
+) -> None:
+    """`q` находит пользователей по (части) названия их команды; пользователи
+    без команды при этом не пропадают из общей (без поиска) выдачи."""
+    admin = await _make_user(db_session, role="admin")
+    suffix = uuid.uuid4().hex[:8]
+    team = Team(name=f"Rocket-{suffix} Squad")
+    db_session.add(team)
+    await db_session.flush()
+    teamed_user = await _make_user(db_session)
+    teamed_user.team_id = team.id
+    teamless_user = await _make_user(db_session)
+    await db_session.commit()
+
+    response = await client.get(
+        "/api/v1/admin/users", params={"q": f"Rocket-{suffix}"}, headers=_auth_headers(admin)
+    )
+    assert response.status_code == 200, response.text
+    ids = [item["id"] for item in response.json()["items"]]
+    assert str(teamed_user.id) in ids
+    assert str(teamless_user.id) not in ids
+    assert str(admin.id) not in ids
+
+    all_response = await client.get("/api/v1/admin/users", headers=_auth_headers(admin))
+    all_ids = [item["id"] for item in all_response.json()["items"]]
+    assert str(teamless_user.id) in all_ids
+
+
 async def test_patch_user_role_and_block(
     client: httpx.AsyncClient, db_session: AsyncSession
 ) -> None:

backend/tests/test_metrics_api.py

@@ -20,6 +20,7 @@ from prometheus_client.samples import Sample
 from sqlalchemy.ext.asyncio import AsyncSession
 
 from api import metrics as metrics_module
+from core.config import get_settings
 from core.redis import redis_client
 from models.conference import Conference
 from models.session import ConferenceSession
@@ -57,6 +58,31 @@ async def test_metrics_endpoint_returns_prometheus_exposition_format(
     assert "vidconf_http_request_duration_seconds" in families
     assert "vidconf_pipeline_sessions" in families
     assert "vidconf_celery_queue_depth" in families
+    assert "vidconf_host_info" in families
+
+
+async def test_metrics_host_info_gauge_reflects_settings(
+    client: httpx.AsyncClient, monkeypatch: pytest.MonkeyPatch
+) -> None:
+    """`vidconf_host_info` отдаёт `HW_*` из настроек как лейблы, значение всегда 1."""
+    settings = get_settings()
+    monkeypatch.setattr(settings, "hw_cpus", 4)
+    monkeypatch.setattr(settings, "hw_ram_mb", 7937)
+    monkeypatch.setattr(settings, "hw_gpu_name", None)
+    monkeypatch.setattr(settings, "hw_vram_mb", None)
+
+    response = await client.get("/metrics")
+
+    samples = _samples(response.text, "vidconf_host_info")
+    value = _sample_value(
+        samples,
+        suffix="vidconf_host_info",
+        cpus="4",
+        ram_mb="7937",
+        gpu_name="—",
+        vram_mb="—",
+    )
+    assert value == 1
 
 
 async def test_metrics_records_http_latency_by_route(client: httpx.AsyncClient) -> None:

deploy/docker-compose.yml

@@ -82,7 +82,7 @@ services:
       MEDIA_ROOT: ${MEDIA_ROOT:-/app/media}
       # Версия инстанса (релиз v0.0.1) — install.sh копирует значение
       # из файла VERSION (корень репозитория) в .env; отдаётся в GET /api/health.
-      VIDCONF_VERSION: ${VIDCONF_VERSION:-0.0.7}
+      VIDCONF_VERSION: ${VIDCONF_VERSION:-0.0.10}
     # config/ лежит в корне репозитория и не попадает в образ (контекст сборки —
     # только backend/), поэтому plugins.yaml монтируется отдельно.
     volumes:
@@ -704,6 +704,91 @@ services:
     profiles: ["monitoring"]
     logging: *default-logging
 
+  node-exporter:
+    # Метрики железа хоста (CPU, память, диск, сеть, load average) — то,
+    # чего нет ни в одном из приложенческих экспортеров выше. Без
+    # `network_mode: host` (не нужен: читаем /proc,/sys,/ хоста через
+    # bind-mount, а Prometheus достаёт их по имени сервиса во внутренней
+    # сети compose — так безопаснее, не расширяет сетевой доступ контейнера).
+    image: prom/node-exporter:v1.8.2
+    restart: unless-stopped
+    pid: host
+    volumes:
+      - /proc:/host/proc:ro
+      - /sys:/host/sys:ro
+      - /:/rootfs:ro
+    command:
+      - '--path.procfs=/host/proc'
+      - '--path.sysfs=/host/sys'
+      - '--path.rootfs=/rootfs'
+      - '--collector.filesystem.mount-points-exclude=^/(sys|proc|dev|host|etc)($$|/)'
+    # Не публикуем порт наружу вообще (не 127.0.0.1:9100, а совсем без
+    # ports) — Prometheus ходит к нему по внутренней сети compose
+    # (`node-exporter:9100`), публикация на хост для этого не нужна.
+    healthcheck:
+      test: ["CMD-SHELL", "wget -q -O- http://127.0.0.1:9100/metrics >/dev/null || exit 1"]
+      interval: 10s
+      timeout: 5s
+      retries: 10
+      start_period: 10s
+    profiles: ["monitoring"]
+    logging: *default-logging
+
+  # Метрики по контейнерам (CPU/память/сеть каждого отдельно) — замена
+  # cAdvisor, который на сервере `1gb` несовместим с Docker Engine
+  # (containerd-снапшоттер вместо classic overlay2 — подробности и
+  # перепробованные варианты см. `.forcc/JOURNAL.md`, раздел релиза 0.0.9).
+  # Вместо интроспекции graph-driver'а — Docker Engine API напрямую
+  # (`GET /containers/json` + `/stats`), он не зависит от storage-driver.
+  #
+  # Доступ к докер-сокету равносилен root на хосте (`:ro` при монтировании
+  # ограничивает права на файл-ноду, а не на протокол — через сокет можно
+  # поднять привилегированный контейнер и получить хост). Поэтому сокет
+  # монтируется СЮДА, в доверенный прокси-образ, а НЕ в наш собственный
+  # `container-exporter` ниже — прокси разрешает ему только
+  # `GET /containers/json` и `GET /containers/*/stats` (`CONTAINERS=1`),
+  # любые изменяющие запросы заблокированы (`POST=0`). Полная компрометация
+  # `container-exporter` не даёт управлять Docker. Обоснование и разбор —
+  # `docs/deploy/monitoring.md`.
+  docker-socket-proxy:
+    image: tecnativa/docker-socket-proxy:v0.5.0
+    restart: unless-stopped
+    volumes:
+      - /var/run/docker.sock:/var/run/docker.sock:ro
+    environment:
+      CONTAINERS: 1
+      # POST=0 — дефолт образа; выписан явно, потому что от него зависит
+      # безопасность всей схемы (полагаться на невыписанный дефолт для
+      # критичного флага не стоит).
+      POST: 0
+      EVENTS: 0
+    # Не публикуем порт наружу вообще — container-exporter достаёт API
+    # по имени сервиса во внутренней сети compose, тот же принцип, что и
+    # у node-exporter/postgres-exporter выше.
+    healthcheck:
+      test: ["CMD", "wget", "-q", "-O-", "http://127.0.0.1:2375/_ping"]
+      interval: 10s
+      timeout: 5s
+      retries: 10
+      start_period: 10s
+    profiles: ["monitoring"]
+    logging: *default-logging
+
+  container-exporter:
+    build:
+      context: ./monitoring/container-exporter
+      dockerfile: Dockerfile
+    restart: unless-stopped
+    environment:
+      DOCKER_API_BASE: "http://docker-socket-proxy:2375"
+    depends_on:
+      docker-socket-proxy:
+        condition: service_healthy
+    # Без ports — тот же принцип, что и у прокси выше; healthcheck
+    # прописан в самом Dockerfile экспортера (как у backend/worker).
+    profiles: ["monitoring"]
+    logging: *default-logging
+
   grafana:
     image: grafana/grafana:13.1.0
     restart: unless-stopped

deploy/monitoring/alerts.yml

@@ -60,3 +60,59 @@ groups:
       #       суммаризация встанет (задачи будут копиться в очереди summarize,
       #       см. также алерт QueueGrowing). Проверить
       #       `docker compose ps llm` / `llm-gpu` и `docker compose logs llm`.
+
+  # Железо хоста (job `node` — node-exporter). Пороги подобраны под
+  # конкретный сервер 1gb: 8 ГБ RAM, 4 CPU, 50 ГБ диска — если сервер
+  # сменится, пересчитать.
+  - name: vidconf-host
+    rules:
+      # MemAvailable — уже честная оценка Linux с учётом того, что легко
+      # освобождаемый page cache/buffers не в счёт (в отличие от naive
+      # used = total - free). 10% от 8 ГБ ≈ 800 МБ — `for: 10m`, чтобы не
+      # дёргать на кратковременный всплеск (например, разовый всплеск
+      # transcribe/summarize), но успеть среагировать до OOM killer.
+      - alert: HostMemoryLow
+        expr: (node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes) * 100 < 10
+        for: 10m
+        labels:
+          severity: warning
+        annotations:
+          summary: "Мало свободной памяти на хосте"
+          description: >-
+            Свободно {{ $value | printf "%.1f" }}% RAM дольше 10 минут
+            (порог 10% ≈ 800 МБ из 8 ГБ). Смотреть, какой контейнер ест
+            память — дашборд «Хост и контейнеры», топ по памяти
+            (container-exporter, см. deploy/monitoring/container-exporter/).
+
+      # 50 ГБ диска — 10% ≈ 5 ГБ. `for: 15m` (не мгновенно): диск не растёт
+      # так же резко, как память, ложные срабатывания на всплеск не грозят,
+      # но и разовая проверка на границе некритична — 15 минут отсекает шум.
+      - alert: HostDiskLow
+        expr: (node_filesystem_avail_bytes{mountpoint="/",fstype!="tmpfs"} / node_filesystem_size_bytes{mountpoint="/",fstype!="tmpfs"}) * 100 < 10
+        for: 15m
+        labels:
+          severity: warning
+        annotations:
+          summary: "Мало места на диске хоста"
+          description: >-
+            Свободно {{ $value | printf "%.1f" }}% диска дольше 15 минут
+            (порог 10% ≈ 5 ГБ из 50 ГБ). Частые причины на этом проекте —
+            записи транскрибации (`recordings`), логи docker, образы/слои
+            после пересборки — проверить `docker system df`.
+
+      # 4 CPU. Порог 90% и `for: 15m` — сознательно строже по времени, чем
+      # у памяти/диска: кратковременные пики от пайплайна пост-обработки
+      # (транскрибация/суммаризация) — это ожидаемая, не аварийная нагрузка,
+      # алерт должен ловить именно устойчивую перегрузку, а не обычный всплеск.
+      - alert: HostCpuHigh
+        expr: 100 - (avg(rate(node_cpu_seconds_total{mode="idle"}[5m])) * 100) > 90
+        for: 15m
+        labels:
+          severity: warning
+        annotations:
+          summary: "Устойчиво высокая загрузка CPU хоста"
+          description: >-
+            Загрузка CPU {{ $value | printf "%.1f" }}% дольше 15 минут
+            подряд (порог 90% из 4 ядер). Смотреть топ контейнеров по CPU
+            (дашборд «Хост и контейнеры») и латентность API — возможно,
+            не хватает уровня AI/ресурсов под нагрузку.

deploy/monitoring/container-exporter/Dockerfile

@@ -0,0 +1,32 @@
+FROM python:3.12-slim AS base
+
+# uv binary (тот же приём, что и backend/Dockerfile).
+COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /usr/local/bin/
+
+WORKDIR /app
+
+ENV UV_COMPILE_BYTECODE=1 \
+    UV_LINK_MODE=copy \
+    PYTHONUNBUFFERED=1
+
+COPY pyproject.toml uv.lock ./
+RUN uv sync --frozen --no-dev --no-install-project
+
+COPY exporter.py ./
+
+# Непривилегированный пользователь — сокет Docker сервис не видит вообще
+# (доступ только к socket-proxy по сети compose), но принцип наименьших
+# привилегий соблюдаем и здесь.
+RUN useradd --no-create-home --shell /usr/sbin/nologin exporter
+USER exporter
+
+EXPOSE 9419
+
+HEALTHCHECK --interval=10s --timeout=5s --retries=10 --start-period=15s \
+    CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:9419/health')" || exit 1
+
+# Не `uv run` — тому нужен писабельный кэш в $HOME, а у непривилегированного
+# пользователя без домашней директории (--no-create-home выше) его нет;
+# зависимости уже установлены в .venv на шаге сборки, `uv run` в рантайме
+# не добавляет ничего, кроме этой проблемы.
+CMD [".venv/bin/python", "exporter.py"]

deploy/monitoring/container-exporter/exporter.py

@@ -0,0 +1,234 @@
+"""Экспортер метрик Prometheus по контейнерам поверх Docker Engine API.
+
+Отдельный минимальный сервис (не часть backend — backend не должен иметь
+доступ к докер-сокету, см. `docs/deploy/monitoring.md`). Опрашивает Docker
+Engine API ЧЕРЕЗ `docker-socket-proxy` (`deploy/docker-compose.yml`) —
+самому экспортеру `/var/run/docker.sock` не примонтирован, только доступ
+по внутренней сети compose к прокси, который разрешает исключительно
+`GET /containers/json` и `GET /containers/{id}/stats` (только чтение, без
+прав управлять Docker — см. обоснование в `docs/deploy/monitoring.md`).
+
+Стек — `aiohttp` (не `httpx`/FastAPI, как у backend): это отдельный
+процесс вне зависимостей backend, а `aiohttp` даёт async HTTP-клиент и
+сервер в одной небольшой библиотеке, без лишних зависимостей ради пяти
+строк веб-сервера.
+
+Метрики (КОНТРАКТ с `deploy/monitoring/prometheus.yml` и
+`deploy/monitoring/grafana/dashboards/host.json` — при переименовании
+поправить оба файла), лейбл везде — `name` (имя контейнера):
+
+- `vidconf_container_cpu_percent` — доля CPU, использованная контейнером
+  за последний интервал опроса, тот же расчёт, что у `docker stats`
+  (0-100 на одно ядро, суммарно может быть больше 100 при использовании
+  нескольких ядер).
+- `vidconf_container_memory_usage_bytes` / `_limit_bytes` — из
+  `stats.memory_stats`, `usage` очищен от переиспользуемого page cache
+  (`inactive_file`) тем же приёмом, что cAdvisor использовал для
+  `container_memory_working_set_bytes` — именно это число cgroup
+  учитывает при OOM. Без явного лимита памяти у сервиса в
+  docker-compose `limit` равен общему объёму RAM хоста — это не баг.
+- `vidconf_container_network_rx_bytes` / `_tx_bytes` — суммарно по всем
+  сетевым интерфейсам контейнера, счётчик со старта контейнера
+  (обнуляется при пересоздании) — для скорости передачи взять `rate()`.
+
+Опрос контейнеров идёт ПАРАЛЛЕЛЬНО (`asyncio.gather`) в фоновой задаче со
+своим интервалом (`POLL_INTERVAL_S`), а не синхронно на каждый scrape
+Prometheus: `GET /containers/{id}/stats?stream=false` не мгновенен (Docker
+считает CPU-дельту по двум внутренним замерам с разницей ~1с — проверено
+на реальном стенде), и линейный опрос дюжины контейнеров легко вышел бы за
+scrape-интервал Prometheus (15с). Параллельный опрос укладывается в ~1-2с
+независимо от числа контейнеров (проверено на 3 контейнерах, 4 запроса на
+каждый параллельно — 2с суммарно). Фоновая задача пишет значения прямо в
+метрики `prometheus_client` (они и есть кэш), обработчик `/metrics` не
+трогает Docker API вообще — стабильная латентность ответа независимо от
+состояния Docker API.
+"""
+
+import asyncio
+import logging
+import os
+import time
+from typing import Any
+
+import aiohttp
+from aiohttp import web
+from prometheus_client import CONTENT_TYPE_LATEST, Gauge, generate_latest
+
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger("container_exporter")
+
+DOCKER_API_BASE = os.environ.get("DOCKER_API_BASE", "http://docker-socket-proxy:2375")
+POLL_INTERVAL_S = float(os.environ.get("POLL_INTERVAL_S", "15"))
+REQUEST_TIMEOUT_S = float(os.environ.get("REQUEST_TIMEOUT_S", "10"))
+LISTEN_PORT = int(os.environ.get("PORT", "9419"))
+
+CPU_PERCENT = Gauge(
+    "vidconf_container_cpu_percent",
+    "Использование CPU контейнером, % от одного ядра (как `docker stats`)",
+    labelnames=("name",),
+)
+MEMORY_USAGE_BYTES = Gauge(
+    "vidconf_container_memory_usage_bytes",
+    "Память контейнера без переиспользуемого page cache (working set)",
+    labelnames=("name",),
+)
+MEMORY_LIMIT_BYTES = Gauge(
+    "vidconf_container_memory_limit_bytes",
+    "Лимит памяти контейнера (= RAM хоста, если лимит не задан явно)",
+    labelnames=("name",),
+)
+NETWORK_RX_BYTES = Gauge(
+    "vidconf_container_network_rx_bytes",
+    "Байт получено контейнером по сети, суммарно по интерфейсам, с момента старта контейнера",
+    labelnames=("name",),
+)
+NETWORK_TX_BYTES = Gauge(
+    "vidconf_container_network_tx_bytes",
+    "Байт отправлено контейнером по сети, суммарно по интерфейсам, с момента старта контейнера",
+    labelnames=("name",),
+)
+
+
+class PollState:
+    """Флаг успешности последнего опроса — источник `/health` для compose."""
+
+    last_poll_ok: bool = False
+
+
+def _container_name(container: dict[str, Any]) -> str:
+    """Имя контейнера без ведущего `/` (Docker API отдаёт список имён с ним)."""
+    names = container.get("Names") or []
+    if names:
+        return str(names[0]).lstrip("/")
+    return str(container["Id"])[:12]
+
+
+def _cpu_percent(stats: dict[str, Any]) -> float | None:
+    """Доля CPU за интервал между `precpu_stats` и `cpu_stats` — расчёт `docker stats` (CLI).
+
+    Оба поля Docker кладёт в один ответ `stats?stream=false` сам (снимает
+    дважды с разницей ~1с внутри демона) — считать дельту вручную между
+    двумя нашими запросами не нужно.
+    """
+    cpu = stats.get("cpu_stats") or {}
+    precpu = stats.get("precpu_stats") or {}
+    cpu_total: int | None = (cpu.get("cpu_usage") or {}).get("total_usage")
+    precpu_total: int | None = (precpu.get("cpu_usage") or {}).get("total_usage")
+    system: int | None = cpu.get("system_cpu_usage")
+    presystem: int | None = precpu.get("system_cpu_usage")
+    # Первый снимок контейнера (только что создан) — precpu_stats пуст.
+    if cpu_total is None or precpu_total is None or system is None or presystem is None:
+        return None
+    cpu_delta = cpu_total - precpu_total
+    system_delta = system - presystem
+    if system_delta <= 0 or cpu_delta < 0:
+        return None
+    percpu_usage = (cpu.get("cpu_usage") or {}).get("percpu_usage") or []
+    online_cpus = cpu.get("online_cpus") or len(percpu_usage) or 1
+    return float((cpu_delta / system_delta) * online_cpus * 100.0)
+
+
+def _apply_stats(name: str, stats: dict[str, Any]) -> None:
+    cpu_percent = _cpu_percent(stats)
+    if cpu_percent is not None:
+        CPU_PERCENT.labels(name=name).set(cpu_percent)
+
+    memory = stats.get("memory_stats") or {}
+    usage = memory.get("usage")
+    limit = memory.get("limit")
+    cache = (memory.get("stats") or {}).get("inactive_file", 0)
+    if usage is not None:
+        MEMORY_USAGE_BYTES.labels(name=name).set(max(usage - cache, 0))
+    if limit is not None:
+        MEMORY_LIMIT_BYTES.labels(name=name).set(limit)
+
+    networks: dict[str, Any] = stats.get("networks") or {}
+    if networks:
+        rx = sum(net.get("rx_bytes", 0) for net in networks.values())
+        tx = sum(net.get("tx_bytes", 0) for net in networks.values())
+        NETWORK_RX_BYTES.labels(name=name).set(rx)
+        NETWORK_TX_BYTES.labels(name=name).set(tx)
+
+
+async def _fetch_and_apply(session: aiohttp.ClientSession, container: dict[str, Any]) -> None:
+    name = _container_name(container)
+    container_id = container["Id"]
+    timeout = aiohttp.ClientTimeout(total=REQUEST_TIMEOUT_S)
+    try:
+        async with session.get(
+            f"{DOCKER_API_BASE}/containers/{container_id}/stats",
+            params={"stream": "false"},
+            timeout=timeout,
+        ) as response:
+            response.raise_for_status()
+            stats = await response.json(content_type=None)
+    except Exception:
+        logger.warning("не удалось получить stats контейнера %s", name, exc_info=True)
+        return
+    _apply_stats(name, stats)
+
+
+async def _poll_once(session: aiohttp.ClientSession) -> None:
+    timeout = aiohttp.ClientTimeout(total=REQUEST_TIMEOUT_S)
+    async with session.get(f"{DOCKER_API_BASE}/containers/json", timeout=timeout) as response:
+        response.raise_for_status()
+        containers = await response.json(content_type=None)
+    # Параллельно — см. докстринг модуля про латентность stats-запроса.
+    await asyncio.gather(*(_fetch_and_apply(session, c) for c in containers))
+
+
+async def _poll_loop(state: PollState) -> None:
+    async with aiohttp.ClientSession() as session:
+        while True:
+            start = time.monotonic()
+            try:
+                await _poll_once(session)
+                state.last_poll_ok = True
+            except Exception:
+                logger.exception("опрос Docker API завершился ошибкой")
+                state.last_poll_ok = False
+            elapsed = time.monotonic() - start
+            await asyncio.sleep(max(POLL_INTERVAL_S - elapsed, 1.0))
+
+
+# `aiohttp.web.Response(content_type=...)` не принимает `charset` внутри
+# строки типа (падает `ValueError`), а `CONTENT_TYPE_LATEST` из
+# `prometheus_client` — "text/plain; version=0.0.4; charset=utf-8" целиком;
+# разбираем один раз на media type (без `charset=...`) и сам charset.
+_METRICS_MEDIA_TYPE = "; ".join(
+    part for part in CONTENT_TYPE_LATEST.split("; ") if not part.startswith("charset=")
+)
+
+
+async def metrics_handler(_request: web.Request) -> web.Response:
+    return web.Response(body=generate_latest(), content_type=_METRICS_MEDIA_TYPE, charset="utf-8")
+
+
+def _make_health_handler(state: PollState) -> Any:
+    async def health_handler(_request: web.Request) -> web.Response:
+        if state.last_poll_ok:
+            return web.Response(text="ok")
+        return web.Response(text="опрос Docker API ещё не выполнялся успешно", status=503)
+
+    return health_handler
+
+
+def create_app() -> web.Application:
+    app = web.Application()
+    state = PollState()
+    app.router.add_get("/metrics", metrics_handler)
+    app.router.add_get("/health", _make_health_handler(state))
+
+    async def on_startup(_app: web.Application) -> None:
+        app["poll_task"] = asyncio.create_task(_poll_loop(state))
+
+    async def on_cleanup(_app: web.Application) -> None:
+        app["poll_task"].cancel()
+
+    app.on_startup.append(on_startup)
+    app.on_cleanup.append(on_cleanup)
+    return app
+
+
+if __name__ == "__main__":
+    web.run_app(create_app(), host="0.0.0.0", port=LISTEN_PORT)

deploy/monitoring/container-exporter/pyproject.toml

@@ -0,0 +1,26 @@
+[project]
+name = "vidconf-container-exporter"
+version = "0.1.0"
+description = "Метрики Prometheus по контейнерам поверх Docker Engine API (профиль monitoring, deploy/docker-compose.yml)."
+requires-python = ">=3.12"
+dependencies = [
+    "aiohttp>=3.10.0",
+    "prometheus-client>=0.25.0",
+]
+
+[dependency-groups]
+dev = [
+    "mypy>=2.3.0",
+    "ruff>=0.15.21",
+]
+
+[tool.ruff]
+line-length = 100
+target-version = "py312"
+
+[tool.ruff.lint]
+select = ["E", "F", "I", "UP", "B", "ASYNC"]
+
+[tool.mypy]
+python_version = "3.12"
+strict = true

deploy/monitoring/container-exporter/uv.lock

@@ -0,0 +1,747 @@
+version = 1
+revision = 3
+requires-python = ">=3.12"
+resolution-markers = [
+    "python_full_version >= '3.15'",
+    "python_full_version < '3.15'",
+]
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.7.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ce/f4/eec0465c2f67b2664688d0240b3212d5196fd89e741df67ddb81f8d35658/aiohappyeyeballs-2.7.1.tar.gz", hash = "sha256:065665c041c42a5938ed220bdcd7230f22527fbec085e1853d2402c8a3615d9d", size = 24757, upload-time = "2026-07-01T17:11:55.501Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/71/43/1947f06babed6b3f1d7f38b0c767f52df66bfb2bc10b468c4a7de9eceff2/aiohappyeyeballs-2.7.1-py3-none-any.whl", hash = "sha256:9243213661e29250eb41368e5daa826fc017156c3b8a11440826b2e3ed376472", size = 15038, upload-time = "2026-07-01T17:11:54.055Z" },
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.14.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "aiohappyeyeballs" },
+    { name = "aiosignal" },
+    { name = "attrs" },
+    { name = "frozenlist" },
+    { name = "multidict" },
+    { name = "propcache" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+    { name = "yarl" },
+]
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deploy/monitoring/grafana/dashboards/host.json

@@ -0,0 +1,354 @@
+{
+  "title": "Хост и контейнеры",
+  "description": "CPU/RAM/диск/сеть хоста (node-exporter), топ контейнеров по CPU/памяти (container-exporter поверх Docker Engine API — замена cAdvisor, несовместимого с containerd-снапшоттером сервера 1gb, см. .forcc/JOURNAL.md) и характеристики сервера — профиль compose monitoring. Пороги на панелях согласованы с deploy/monitoring/alerts.yml (группа vidconf-host).",
+  "uid": "vidconf-host",
+  "editable": false,
+  "timezone": "browser",
+  "schemaVersion": 39,
+  "version": 1,
+  "time": { "from": "now-6h", "to": "now" },
+  "refresh": "30s",
+  "tags": ["vidconf", "host"],
+  "panels": [
+    {
+      "id": 1,
+      "title": "Загрузка CPU",
+      "description": "100 - idle, усреднено по всем ядрам. Порог алерта HostCpuHigh — 90% дольше 15 минут, см. alerts.yml.",
+      "type": "timeseries",
+      "gridPos": { "h": 8, "w": 12, "x": 0, "y": 0 },
+      "datasource": { "type": "prometheus", "uid": "prometheus" },
+      "fieldConfig": {
+        "defaults": { "unit": "percent", "max": 100, "min": 0, "custom": { "drawStyle": "line", "fillOpacity": 10 } },
+        "overrides": []
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus", "uid": "prometheus" },
+          "expr": "100 - (avg(rate(node_cpu_seconds_total{mode=\"idle\"}[5m])) * 100)",
+          "legendFormat": "CPU busy",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "id": 2,
+      "title": "Load average",
+      "description": "node_load1/5/15 — на 4-ядерном сервере устойчивое значение выше ~4 означает очередь на CPU.",
+      "type": "timeseries",
+      "gridPos": { "h": 8, "w": 12, "x": 12, "y": 0 },
+      "datasource": { "type": "prometheus", "uid": "prometheus" },
+      "fieldConfig": {
+        "defaults": { "custom": { "drawStyle": "line", "fillOpacity": 5 } },
+        "overrides": []
+      },
+      "targets": [
+        { "datasource": { "type": "prometheus", "uid": "prometheus" }, "expr": "node_load1", "legendFormat": "1 мин", "refId": "A" },
+        { "datasource": { "type": "prometheus", "uid": "prometheus" }, "expr": "node_load5", "legendFormat": "5 мин", "refId": "B" },
+        { "datasource": { "type": "prometheus", "uid": "prometheus" }, "expr": "node_load15", "legendFormat": "15 мин", "refId": "C" }
+      ]
+    },
+    {
+      "id": 3,
+      "title": "Использование RAM",
+      "description": "(1 - MemAvailable/MemTotal) — MemAvailable уже учитывает легко освобождаемый page cache/buffers. Порог алерта HostMemoryLow — доступно <10% дольше 10 минут, см. alerts.yml.",
+      "type": "timeseries",
+      "gridPos": { "h": 8, "w": 12, "x": 0, "y": 8 },
+      "datasource": { "type": "prometheus", "uid": "prometheus" },
+      "fieldConfig": {
+        "defaults": { "unit": "percent", "max": 100, "min": 0, "custom": { "drawStyle": "line", "fillOpacity": 10 } },
+        "overrides": []
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus", "uid": "prometheus" },
+          "expr": "(1 - node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes) * 100",
+          "legendFormat": "RAM used",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "id": 4,
+      "title": "Своп (использовано)",
+      "description": "SwapTotal - SwapFree. На этом сервере swap не заведён под мониторинг отдельным алертом — рост от нуля сам по себе сигнал, что памяти уже не хватает (см. HostMemoryLow).",
+      "type": "timeseries",
+      "gridPos": { "h": 8, "w": 12, "x": 12, "y": 8 },
+      "datasource": { "type": "prometheus", "uid": "prometheus" },
+      "fieldConfig": {
+        "defaults": { "unit": "decbytes", "custom": { "drawStyle": "line", "fillOpacity": 10 } },
+        "overrides": []
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus", "uid": "prometheus" },
+          "expr": "node_memory_SwapTotal_bytes - node_memory_SwapFree_bytes",
+          "legendFormat": "swap used",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "id": 5,
+      "title": "Свободно на диске (/)",
+      "description": "node_filesystem_avail_bytes для корня. Порог алерта HostDiskLow — <10% (≈5 ГБ из 50 ГБ) дольше 15 минут.",
+      "type": "stat",
+      "gridPos": { "h": 4, "w": 6, "x": 0, "y": 16 },
+      "datasource": { "type": "prometheus", "uid": "prometheus" },
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes",
+          "thresholds": { "mode": "absolute", "steps": [{ "color": "red", "value": null }, { "color": "green", "value": 5368709120 }] }
+        },
+        "overrides": []
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus", "uid": "prometheus" },
+          "expr": "node_filesystem_avail_bytes{mountpoint=\"/\",fstype!=\"tmpfs\"}",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "id": 6,
+      "title": "RAM сейчас, %",
+      "description": "Текущий снимок панели «Использование RAM». Порог совпадает с HostMemoryLow (used > 90%).",
+      "type": "stat",
+      "gridPos": { "h": 4, "w": 6, "x": 6, "y": 16 },
+      "datasource": { "type": "prometheus", "uid": "prometheus" },
+      "fieldConfig": {
+        "defaults": {
+          "unit": "percent",
+          "thresholds": { "mode": "absolute", "steps": [{ "color": "green", "value": null }, { "color": "red", "value": 90 }] }
+        },
+        "overrides": []
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus", "uid": "prometheus" },
+          "expr": "(1 - node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes) * 100",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "id": 7,
+      "title": "Диск сейчас, %",
+      "description": "Текущий снимок использования корневого раздела. Порог совпадает с HostDiskLow (used > 90%).",
+      "type": "stat",
+      "gridPos": { "h": 4, "w": 6, "x": 12, "y": 16 },
+      "datasource": { "type": "prometheus", "uid": "prometheus" },
+      "fieldConfig": {
+        "defaults": {
+          "unit": "percent",
+          "thresholds": { "mode": "absolute", "steps": [{ "color": "green", "value": null }, { "color": "red", "value": 90 }] }
+        },
+        "overrides": []
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus", "uid": "prometheus" },
+          "expr": "(1 - node_filesystem_avail_bytes{mountpoint=\"/\",fstype!=\"tmpfs\"} / node_filesystem_size_bytes{mountpoint=\"/\",fstype!=\"tmpfs\"}) * 100",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "id": 8,
+      "title": "CPU сейчас, %",
+      "description": "Текущий снимок загрузки CPU. Порог совпадает с HostCpuHigh (>90%).",
+      "type": "stat",
+      "gridPos": { "h": 4, "w": 6, "x": 18, "y": 16 },
+      "datasource": { "type": "prometheus", "uid": "prometheus" },
+      "fieldConfig": {
+        "defaults": {
+          "unit": "percent",
+          "thresholds": { "mode": "absolute", "steps": [{ "color": "green", "value": null }, { "color": "red", "value": 90 }] }
+        },
+        "overrides": []
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus", "uid": "prometheus" },
+          "expr": "100 - (avg(rate(node_cpu_seconds_total{mode=\"idle\"}[5m])) * 100)",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "id": 9,
+      "title": "Сетевой трафик",
+      "description": "rx/tx по физическим интерфейсам хоста (исключены lo/veth/docker/br — это внутренние интерфейсы контейнеров, а не реальный сетевой трафик сервера).",
+      "type": "timeseries",
+      "gridPos": { "h": 8, "w": 12, "x": 0, "y": 20 },
+      "datasource": { "type": "prometheus", "uid": "prometheus" },
+      "fieldConfig": {
+        "defaults": { "unit": "Bps", "custom": { "drawStyle": "line", "fillOpacity": 5 } },
+        "overrides": []
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus", "uid": "prometheus" },
+          "expr": "rate(node_network_receive_bytes_total{device!~\"lo|veth.*|docker.*|br-.*\"}[5m])",
+          "legendFormat": "rx {{device}}",
+          "refId": "A"
+        },
+        {
+          "datasource": { "type": "prometheus", "uid": "prometheus" },
+          "expr": "rate(node_network_transmit_bytes_total{device!~\"lo|veth.*|docker.*|br-.*\"}[5m])",
+          "legendFormat": "tx {{device}}",
+          "refId": "B"
+        }
+      ]
+    },
+    {
+      "id": 10,
+      "title": "Топ контейнеров по CPU",
+      "description": "Источник — container-exporter (job container-exporter, свой сервис поверх Docker Engine API, см. deploy/monitoring/container-exporter/). Отвечает на вопрос «кто из контейнеров грузит CPU» при срабатывании HostCpuHigh. % от одного ядра — как `docker stats`, суммарно может быть больше 100 при нескольких ядрах.",
+      "type": "timeseries",
+      "gridPos": { "h": 8, "w": 12, "x": 12, "y": 20 },
+      "datasource": { "type": "prometheus", "uid": "prometheus" },
+      "fieldConfig": {
+        "defaults": { "unit": "percent", "custom": { "drawStyle": "line", "fillOpacity": 10, "stacking": { "mode": "normal" } } },
+        "overrides": []
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus", "uid": "prometheus" },
+          "expr": "topk(5, vidconf_container_cpu_percent)",
+          "legendFormat": "{{name}}",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "id": 11,
+      "title": "Топ контейнеров по памяти",
+      "description": "vidconf_container_memory_usage_bytes — usage без переиспользуемого page cache (working set), источник — container-exporter.",
+      "type": "timeseries",
+      "gridPos": { "h": 8, "w": 24, "x": 0, "y": 28 },
+      "datasource": { "type": "prometheus", "uid": "prometheus" },
+      "fieldConfig": {
+        "defaults": { "unit": "decbytes", "custom": { "drawStyle": "line", "fillOpacity": 10, "stacking": { "mode": "normal" } } },
+        "overrides": []
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus", "uid": "prometheus" },
+          "expr": "topk(5, vidconf_container_memory_usage_bytes)",
+          "legendFormat": "{{name}}",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "id": 12,
+      "title": "Ядра CPU",
+      "description": "Число ядер хоста (node-exporter, живое значение — работает на любой инсталляции, не только на 1gb).",
+      "type": "stat",
+      "gridPos": { "h": 4, "w": 6, "x": 0, "y": 36 },
+      "datasource": { "type": "prometheus", "uid": "prometheus" },
+      "fieldConfig": {
+        "defaults": {
+          "unit": "none",
+          "decimals": 0,
+          "thresholds": { "mode": "absolute", "steps": [{ "color": "green", "value": null }] }
+        },
+        "overrides": []
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus", "uid": "prometheus" },
+          "expr": "count(count by (cpu) (node_cpu_seconds_total{mode=\"idle\"}))",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "id": 13,
+      "title": "Объём RAM",
+      "description": "Полный объём памяти хоста (node-exporter, живое значение).",
+      "type": "stat",
+      "gridPos": { "h": 4, "w": 6, "x": 6, "y": 36 },
+      "datasource": { "type": "prometheus", "uid": "prometheus" },
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes",
+          "thresholds": { "mode": "absolute", "steps": [{ "color": "green", "value": null }] }
+        },
+        "overrides": []
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus", "uid": "prometheus" },
+          "expr": "node_memory_MemTotal_bytes",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "id": 14,
+      "title": "Диск (/)",
+      "description": "Полный размер корневого раздела (node-exporter, живое значение) — не путать с панелью «Свободно на диске» выше (там остаток).",
+      "type": "stat",
+      "gridPos": { "h": 4, "w": 6, "x": 12, "y": 36 },
+      "datasource": { "type": "prometheus", "uid": "prometheus" },
+      "fieldConfig": {
+        "defaults": {
+          "unit": "decbytes",
+          "thresholds": { "mode": "absolute", "steps": [{ "color": "green", "value": null }] }
+        },
+        "overrides": []
+      },
+      "targets": [
+        {
+          "datasource": { "type": "prometheus", "uid": "prometheus" },
+          "expr": "node_filesystem_size_bytes{mountpoint=\"/\",fstype!=\"tmpfs\"}",
+          "refId": "A"
+        }
+      ]
+    },
+    {
+      "id": 15,
+      "title": "GPU",
+      "description": "Обнаруженная install.sh видеокарта (backend, gauge vidconf_host_info — HW_GPU_NAME из .env, ADR-004). «—» — видеокарты нет либо install.sh не запускался (dev-окружение). Таблица, а не stat-панель: у stat-панели в режиме отображения имени серии свой алгоритм автоподбора размера шрифта, который для однознаковых значений вроде «—» рисует нечитаемо мелкий текст.",
+      "type": "table",
+      "gridPos": { "h": 4, "w": 6, "x": 18, "y": 36 },
+      "datasource": { "type": "prometheus", "uid": "prometheus" },
+      "fieldConfig": {
+        "defaults": { "custom": { "align": "center" } },
+        "overrides": []
+      },
+      "options": {
+        "showHeader": true,
+        "cellHeight": "lg"
+      },
+      "transformations": [
+        {
+          "id": "organize",
+          "options": {
+            "excludeByName": {
+              "Time": true,
+              "Value": true,
+              "__name__": true,
+              "cpus": true,
+              "ram_mb": true,
+              "instance": true,
+              "job": true
+            },
+            "renameByName": { "gpu_name": "Модель", "vram_mb": "VRAM, МБ" }
+          }
+        }
+      ],
+      "targets": [
+        {
+          "datasource": { "type": "prometheus", "uid": "prometheus" },
+          "expr": "vidconf_host_info",
+          "format": "table",
+          "instant": true,
+          "refId": "A"
+        }
+      ]
+    }
+  ]
+}

deploy/monitoring/prometheus.yml

@@ -1,6 +1,7 @@
 # Конфигурация Prometheus (devops) — сбор метрик backend,
-# PostgreSQL, Redis и локального LLM-сервера. Поднимается compose-профилем
+# PostgreSQL, Redis, железа хоста, контейнеров и локального LLM-сервера.
-# `monitoring` (deploy/docker-compose.yml, сервис `prometheus`).
+# Поднимается compose-профилем `monitoring` (deploy/docker-compose.yml,
+# сервис `prometheus`).
 #
 # Имена метрик backend (`vidconf_http_request_duration_seconds`,
 # `vidconf_pipeline_sessions`, `vidconf_celery_queue_depth`) — КОНТРАКТ с
@@ -33,6 +34,25 @@ scrape_configs:
     static_configs:
       - targets: ["redis-exporter:9121"]
 
+  # Хост целиком: CPU, память, диск, сеть, load average (профиль monitoring
+  # — сервис node-exporter). Единственный источник, который покажет
+  # нехватку памяти/CPU на сервере, если она не проявится как рост
+  # латентности API (см. дашборд host.json).
+  - job_name: node
+    static_configs:
+      - targets: ["node-exporter:9100"]
+
+  # Метрики по каждому контейнеру (CPU/память/сеть отдельно у backend,
+  # worker, postgres и т.д. — профиль monitoring, сервис
+  # `container-exporter`). Отвечает на вопрос «какой из контейнеров ест
+  # ресурсы», в отличие от job `node` (только хост целиком). Замена
+  # cAdvisor (несовместим с containerd-снапшоттером сервера `1gb`, см.
+  # .forcc/JOURNAL.md) — свой экспортер поверх Docker Engine API,
+  # метрики `vidconf_container_*`, см. deploy/monitoring/container-exporter/.
+  - job_name: container-exporter
+    static_configs:
+      - targets: ["container-exporter:9419"]
+
   # Локальный LLM-сервер (llama.cpp, LLAMA_ARG_ENDPOINT_METRICS=1). Адрес
   # `llm:8080` разрешается ОДНИМ из двух compose-сервисов в зависимости от
   # выбранного при установке пресета — `llm` (CPU, профиль `llm`, уровни

docs/deploy/monitoring.md

@@ -10,11 +10,68 @@
 | `prometheus` | `prom/prometheus:v3.13.1` | `9090` | сбор и хранение метрик, оценка правил алертинга |
 | `postgres-exporter` | `quay.io/prometheuscommunity/postgres-exporter:v0.20.1` | — (внутренний) | метрики PostgreSQL |
 | `redis-exporter` | `oliver006/redis_exporter:v1.87.0-alpine` | — (внутренний) | метрики Redis |
-| `grafana` | `grafana/grafana:13.1.0` | `3001` (внутри контейнера `3000`) | дашборд «Пайплайны пост-обработки» |
+| `node-exporter` | `prom/node-exporter:v1.8.2` | — (внутренний) | метрики хоста: CPU, память, диск, сеть, load average |
+| `docker-socket-proxy` | `tecnativa/docker-socket-proxy:v0.5.0` | — (внутренний) | read-only прокси к Docker Engine API для `container-exporter` |
+| `container-exporter` | сборка из `deploy/monitoring/container-exporter/` | — (внутренний) | метрики CPU/память/сеть в разбивке по контейнерам |
+| `grafana` | `grafana/grafana:13.1.0` | `3001` (внутри контейнера `3000`) | дашборды «Пайплайны пост-обработки» и «Хост и контейнеры» |
+
+`node-exporter`/`docker-socket-proxy`/`container-exporter` не публикуют
+порт на хост вообще (не только 127.0.0.1) — Prometheus и сам экспортер
+ходят друг к другу по имени сервиса во внутренней сети compose,
+публикация на хост для этого не нужна.
+
+### 1.1. Метрики по контейнерам — свой экспортер вместо cAdvisor
+
+**cAdvisor не используется**: Docker Engine на сервере `1gb` использует
+containerd-снапшоттер (`docker info` → `driver-type:
+io.containerd.snapshotter.v1`), а не классический overlay2-драйвер, и
+cAdvisor (проверено на v0.49.2 и v0.52.1, с `--docker_only` и без, через
+`--containerd`/`--containerd-namespace=moby` и без) не может определить
+read-write layer контейнеров — падает с «failed to identify the
+read-write layer ID», метрики есть только по корневому cgroup. Открытая
+проблема совместимости cAdvisor с containerd image store, флагами не
+чинится — см. `.forcc/JOURNAL.md`.
+
+Вместо этого — свой минимальный экспортер (`container-exporter`,
+`deploy/monitoring/container-exporter/exporter.py`, Python/aiohttp/
+`prometheus_client`) поверх Docker Engine API: `GET /containers/json` +
+`GET /containers/{id}/stats?stream=false`. Эти эндпойнты не зависят от
+storage-driver'а — работают и с containerd-снапшоттером, и с overlay2.
+Опрос контейнеров идёт параллельно в фоновой задаче (свой интервал,
+не завязан на scrape Prometheus) — `stats?stream=false` не мгновенен
+(Docker считает CPU-дельту по двум внутренним замерам с разницей ~1с),
+линейный опрос дюжины контейнеров легко вышел бы за scrape-интервал.
+Метрики (лейбл `name` — имя контейнера):
+
+- `vidconf_container_cpu_percent` — % от одного ядра, как `docker stats`.
+- `vidconf_container_memory_usage_bytes` / `_limit_bytes` — working set
+  (без переиспользуемого page cache) и лимит памяти.
+- `vidconf_container_network_rx_bytes` / `_tx_bytes` — суммарно по
+  интерфейсам, счётчик со старта контейнера.
+
+**Безопасность: доступ к `/var/run/docker.sock` равносилен root на
+хосте.** Флаг `:ro` при монтировании сокета не спасает — он ограничивает
+права на файл-ноду, а не на протокол: через сокет можно поднять
+привилегированный контейнер и получить хост. Поэтому сокет НЕ
+монтируется напрямую в `container-exporter` — между ними стоит
+`docker-socket-proxy` (`tecnativa/docker-socket-proxy`), которому
+разрешены только `GET`-запросы по контейнерам (`CONTAINERS=1`, `POST=0`
+— дефолт образа, выписан явно). Даже полная компрометация
+`container-exporter` (например, через уязвимость в его зависимостях) не
+даёт управлять Docker — прокси физически не пропустит `POST`. Ни один
+из двух сервисов не публикует портов наружу.
+
+Если на другом сервере используется классический overlay2 и хочется
+именно cAdvisor — можно добавить его по тому же образцу, что и
+`node-exporter` (свой job в `prometheus.yml`, без публикации портов),
+но тогда придётся решать ту же проблему монтирования сокета отдельно
+(cAdvisor тоже требует доступ к Docker API).
 
 Файлы: `deploy/monitoring/prometheus.yml`, `deploy/monitoring/alerts.yml`,
 `deploy/monitoring/grafana/provisioning/` (datasource + провайдер
-дашбордов), `deploy/monitoring/grafana/dashboards/pipelines.json`.
+дашбордов), `deploy/monitoring/grafana/dashboards/pipelines.json`,
+`deploy/monitoring/grafana/dashboards/host.json`,
+`deploy/monitoring/container-exporter/` (код экспортера).
 
 ## 2. Запуск
 
@@ -37,9 +94,9 @@ ssh -L 9090:127.0.0.1:9090 -L 3001:127.0.0.1:3001 <user>@<host>
 ```
 и открывайте `http://localhost:9090` / `http://localhost:3001` у себя.
 
-Дашборд «Пайплайны пост-обработки» (папка VidConf в Grafana) появляется
+Дашборды «Пайплайны пост-обработки» и «Хост и контейнеры» (папка VidConf
-сразу — источник данных и дашборд провижинятся из файлов, без ручной
+в Grafana) появляются сразу — источник данных и дашборды провижинятся из
-настройки.
+файлов, без ручной настройки.
 
 ## 3. Метрики backend
 
@@ -56,6 +113,13 @@ ssh -L 9090:127.0.0.1:9090 -L 3001:127.0.0.1:3001 <user>@<host>
 - `vidconf_celery_queue_depth` (gauge, `queue`) — глубина очередей Celery
   (`transcription`/`summarize`/`notify`/`celery`, redis `LLEN`), карта
   очередей — `docs/deploy/scaling.md`.
+- `vidconf_host_info` (gauge, всегда `1`, лейблы `cpus`/`ram_mb`/`gpu_name`/
+  `vram_mb`) — info-метрика обнаруженного `install.sh` железа (`HW_*` в
+  `.env`, ADR-004). Источник плашки с характеристиками сервера в дашборде
+  «Хост и контейнеры» — живые CPU/RAM/диск там же берутся из
+  node-exporter, а GPU node-exporter не знает вообще, поэтому только эта
+  метрика. `«—»` в лейбле — `install.sh` не запускался (dev) либо
+  видеокарта не обнаружена.
 
 Job `llm` в `prometheus.yml` скрейпит `llm:8080/metrics`
 (`LLAMA_ARG_ENDPOINT_METRICS=1`) — этот адрес резолвится ЛИБО сервисом
@@ -78,6 +142,13 @@ Job `llm` в `prometheus.yml` скрейпит `llm:8080/metrics`
 | `PipelineFailed` | рост числа сеансов в статусе `failed` за 15 минут | critical |
 | `QueueGrowing` | глубина очереди растёт 15 минут подряд и превышает 10 задач | warning |
 | `LlmDown` | `up{job="llm"} == 0` дольше 2 минут | critical (закомментирован по умолчанию) |
+| `HostMemoryLow` | свободно <10% RAM (≈800 МБ из 8 ГБ) дольше 10 минут | warning |
+| `HostDiskLow` | свободно <10% диска (≈5 ГБ из 50 ГБ) дольше 15 минут | warning |
+| `HostCpuHigh` | загрузка CPU >90% дольше 15 минут подряд | warning |
+
+Пороги трёх алертов по железу подобраны под конкретный сервер `1gb`
+(8 ГБ RAM, 4 CPU, 50 ГБ диска) — при смене сервера пересчитать
+(`deploy/monitoring/alerts.yml`, группа `vidconf-host`).
 
 `LlmDown` актуален только на инсталляциях с профилем `llm`/`llm-gpu`
 (пресеты 3–5) — по умолчанию (профили `media,monitoring`, без AI) правило

frontend/src/api/admin.ts

@@ -137,6 +137,8 @@ export type AdminUserDetailOut = AdminUserOut
 
 /** Параметры выборки списка пользователей. */
 export interface AdminUserQuery {
+  /** Фильтр по блокировке — без параметра отдаются все пользователи. */
+  status?: 'active' | 'blocked'
   q?: string
   limit?: number
   offset?: number
@@ -221,7 +223,7 @@ export async function sendConferenceInvitations(id: string, emails?: string[]):
 
 /** Список пользователей для админки — с поиском и пагинацией. */
 export async function listAdminUsers(query: AdminUserQuery = {}): Promise<PagedResult<AdminUserOut>> {
-  const qs = toQueryString({ q: query.q, limit: query.limit, offset: query.offset })
+  const qs = toQueryString({ status: query.status, q: query.q, limit: query.limit, offset: query.offset })
   return apiRequest<PagedResult<AdminUserOut>>(`/admin/users${qs}`)
 }
 

frontend/src/components/admin/AdminConferencesTab.tsx

@@ -18,10 +18,10 @@ import { formatRecurrenceSummary } from '@/lib/recurrenceFormat'
 const PAGE_SIZE = 10
 
 const STATUS_FILTERS: { value: ConferenceStatus | 'all'; label: string }[] = [
-  { value: 'all', label: 'Все' },
   { value: 'scheduled', label: 'Запланированные' },
   { value: 'active', label: 'Активные' },
   { value: 'ended', label: 'Завершённые' },
+  { value: 'all', label: 'Все' },
 ]
 
 function StatusBadge({ conference }: { conference: AdminConferenceOut }) {
@@ -287,7 +287,7 @@ function InviteModal({ conference, onClose }: { conference: AdminConferenceOut;
  * блок «table-card», адаптированный под сущность «конференция»).
  */
 export function AdminConferencesTab() {
-  const [statusFilter, setStatusFilter] = useState<ConferenceStatus | 'all'>('all')
+  const [statusFilter, setStatusFilter] = useState<ConferenceStatus | 'all'>('scheduled')
   const [searchInput, setSearchInput] = useState('')
   const [search, setSearch] = useState('')
   const [offset, setOffset] = useState(0)

frontend/src/components/admin/AdminUsersTab.tsx

@@ -13,6 +13,12 @@ const PAGE_SIZE = 10
 /** Верхний предел выборки команд для селекта — без отдельной пагинации в этом контексте. */
 const TEAMS_LIMIT = 200
 
+const STATUS_FILTERS: { value: 'active' | 'blocked' | 'all'; label: string }[] = [
+  { value: 'active', label: 'Активные' },
+  { value: 'blocked', label: 'Заблокированные' },
+  { value: 'all', label: 'Все' },
+]
+
 /**
  * Вкладка «Пользователи» админки — список с поиском, пагинацией, сменой
  * роли, блокировкой и командой (design/mockups/admin.html,
@@ -28,6 +34,7 @@ const TEAMS_LIMIT = 200
  */
 export function AdminUsersTab() {
   const { user: currentUser } = useAuth()
+  const [statusFilter, setStatusFilter] = useState<'active' | 'blocked' | 'all'>('active')
   const [searchInput, setSearchInput] = useState('')
   const [search, setSearch] = useState('')
   const [offset, setOffset] = useState(0)
@@ -45,8 +52,14 @@ export function AdminUsersTab() {
   }, [searchInput])
 
   const { data, isLoading } = useQuery({
-    queryKey: ['admin', 'users', search, offset],
+    queryKey: ['admin', 'users', statusFilter, search, offset],
-    queryFn: () => listAdminUsers({ q: search || undefined, limit: PAGE_SIZE, offset }),
+    queryFn: () =>
+      listAdminUsers({
+        status: statusFilter === 'all' ? undefined : statusFilter,
+        q: search || undefined,
+        limit: PAGE_SIZE,
+        offset,
+      }),
   })
 
   const { data: teamsData } = useQuery({
@@ -89,13 +102,29 @@ export function AdminUsersTab() {
 
   return (
     <>
+      <div className="section-tabs-inline">
+        {STATUS_FILTERS.map((f) => (
+          <button
+            key={f.value}
+            type="button"
+            className={`chip${statusFilter === f.value ? ' is-active' : ''}`}
+            onClick={() => {
+              setStatusFilter(f.value)
+              setOffset(0)
+            }}
+          >
+            {f.label}
+          </button>
+        ))}
+      </div>
+
       <div className="toolbar-row">
         <div className="toolbar-left">
           <div className="search-wrap">
             <Search className="icon" style={{ width: 16, height: 16 }} aria-hidden="true" />
             <input
               type="text"
-              placeholder="Поиск по имени или email…"
+              placeholder="Поиск по имени, email или команде…"
               value={searchInput}
               onChange={(e) => setSearchInput(e.target.value)}
             />