chore: optimize resource allocation and memory settings in Docker Compose

- Added memory and CPU limits and reservations for Prometheus, Grafana, and Uptime Kuma services to enhance performance and resource management.
- Updated Prometheus and Grafana configurations with new storage block duration settings for improved memory optimization.
- Revised README to include additional commands for running specific services and restarting containers.

docker-compose.yml

@@ -13,6 +13,9 @@ services:
       - '--storage.tsdb.retention.time=${PROMETHEUS_RETENTION_DAYS:-30}d'
       - '--web.enable-lifecycle'
       - '--web.external-url=https://${SERVER_IP}/prometheus/'
+      # Оптимизация памяти
+      - '--storage.tsdb.max-block-duration=2h'
+      - '--storage.tsdb.min-block-duration=2h'
     ports:
       - "9090:9090"
     volumes:
@@ -26,6 +29,14 @@ services:
       interval: 30s
       timeout: 10s
       retries: 3
+    deploy:
+      resources:
+        limits:
+          memory: 128M
+          cpus: '0.5'
+        reservations:
+          memory: 64M
+          cpus: '0.25'
 
   # Grafana Dashboard
   grafana:
@@ -39,6 +50,10 @@ services:
       - GF_INSTALL_PLUGINS=grafana-clock-panel,grafana-simple-json-datasource
       - GF_SERVER_ROOT_URL=https://${SERVER_IP}/grafana/
       - GF_SERVER_SERVE_FROM_SUB_PATH=true
+      # Оптимизация памяти
+      - GF_DATABASE_MAX_IDLE_CONN=2
+      - GF_DATABASE_MAX_OPEN_CONN=5
+      - GF_DASHBOARDS_DEFAULT_HOME_DASHBOARD_PATH=/etc/grafana/provisioning/dashboards/node-exporter-full-dashboard.json
     ports:
       - "3000:3000"
     volumes:
@@ -53,6 +68,14 @@ services:
       interval: 30s
       timeout: 10s
       retries: 3
+    deploy:
+      resources:
+        limits:
+          memory: 200M
+          cpus: '0.5'
+        reservations:
+          memory: 100M
+          cpus: '0.25'
 
   # Uptime Kuma Status Page
   uptime-kuma:
@@ -73,6 +96,14 @@ services:
       timeout: 10s
       retries: 3
       start_period: 40s
+    deploy:
+      resources:
+        limits:
+          memory: 150M
+          cpus: '0.5'
+        reservations:
+          memory: 80M
+          cpus: '0.25'
 
   # Alertmanager
   alertmanager: