Update grafana/alloy Docker tag to v1.14.2

audiomuse/docker-compose.yml

@@ -31,7 +31,7 @@ services:
 
   # AudioMuse-AI Flask application service
   audiomuse-ai-flask:
-    image: ghcr.io/neptunehub/audiomuse-ai:0.9.5 # Reflects deployment.yaml
+    image: ghcr.io/neptunehub/audiomuse-ai:0.9.3 # Reflects deployment.yaml
     container_name: audiomuse-ai-flask-app
     ports:
       - "8013:8000"
@@ -69,7 +69,7 @@ services:
 
   # AudioMuse-AI RQ Worker service
   audiomuse-ai-worker:
-    image: ghcr.io/neptunehub/audiomuse-ai:0.9.5 # Reflects deployment.yaml
+    image: ghcr.io/neptunehub/audiomuse-ai:0.9.3 # Reflects deployment.yaml
     container_name: audiomuse-ai-worker-instance
     env_file:
       - .env

gitea/docker-compose.yml

@@ -14,7 +14,7 @@ services:
       - "3000:3000"
       - "2222:2222"
   gitea-runner:
-    image: gitea/act_runner:0.3.1
+    image: gitea/act_runner:0.3.0
     restart: always
     environment:
       CONFIG_FILE: /config.yaml

immich/docker-compose.yml

@@ -1,7 +1,7 @@
 services:
   immich-server:
     container_name: immich_server
-    image: ghcr.io/immich-app/immich-server:v2.7.2
+    image: ghcr.io/immich-app/immich-server:v2.6.3
     # extends:
     #   file: hwaccel.transcoding.yml
     #   service: cpu # set to one of [nvenc, quicksync, rkmpp, vaapi, vaapi-wsl] for accelerated transcoding
@@ -25,7 +25,7 @@ services:
 
   immich-machine-learning:
     container_name: immich_machine_learning
-    image: ghcr.io/immich-app/immich-machine-learning:v2.7.2
+    image: ghcr.io/immich-app/immich-machine-learning:v2.6.3
     volumes:
       - model-cache:/cache
     env_file:

jellyfin/docker-compose.yml

@@ -1,6 +1,6 @@
 services:
   jellyfin:
-    image: jellyfin/jellyfin:10.11.8
+    image: jellyfin/jellyfin:10.11.6
     user: ${JELLYFIN_USER_UID}:${JELLYFIN_USER_GID}
     network_mode: 'host'
     restart: always

monitoring/docker-compose.yml

@@ -19,7 +19,7 @@ services:
 
   # Grafana - Visualization Dashboard
   grafana:
-    image: grafana/grafana:12.4.2
+    image: grafana/grafana:12.4.1
     restart: unless-stopped
     ports:
       - "3002:3000"
@@ -41,7 +41,7 @@ services:
       - prometheus
 
   loki:
-    image: grafana/loki:3.7.1
+    image: grafana/loki:3.6.7
     restart: unless-stopped
     ports:
       - "3100:3100"
@@ -53,7 +53,7 @@ services:
       - '-target=all'
 
   alloy:
-    image: grafana/alloy:v1.15.0
+    image: grafana/alloy:v1.14.2
     restart: unless-stopped
     ports:
       - "12345:12345"

paperless/docker-compose.yml

@@ -1,6 +1,6 @@
 services:
   broker:
-    image: docker.io/library/redis:8
+    image: docker.io/library/redis:7
     restart: always
     volumes:
       - ${PAPERLESS_REDIS_DATA_DIR}:/data
@@ -49,7 +49,7 @@ services:
       PAPERLESS_REDIRECT_LOGIN_TO_SSO: true
 
   gotenberg:
-    image: docker.io/gotenberg/gotenberg:8.29.1
+    image: docker.io/gotenberg/gotenberg:8.28.0
     restart: always
 
     # The gotenberg chromium route is used to convert .eml files. We do not

pihole/docker-compose.yml

@@ -2,7 +2,7 @@
 services:
   pihole:
     container_name: pihole
-    image: pihole/pihole:2026.04.0
+    image: pihole/pihole:2026.02.0
     ports:
       # DNS Ports
       - "53:53/tcp"

synapse/docker-compose.yml

@@ -1,6 +1,6 @@
 services:
   element-call-auth-service:
-    image: ghcr.io/element-hq/lk-jwt-service:0.4.2
+    image: ghcr.io/element-hq/lk-jwt-service:0.4.1
     container_name: element-call-jwt
     hostname: auth-server
     environment:
@@ -13,7 +13,7 @@ services:
     ports:
       - 8071:8080
   element-call-livekit:
-    image: livekit/livekit-server:v1.10.1
+    image: livekit/livekit-server:v1.10.0
     command: --config /etc/livekit.yaml
     ports:
       - "7880:7880/tcp"
@@ -61,7 +61,7 @@ services:
     ports:
       - 5440:5432
   mas:
-    image: ghcr.io/element-hq/matrix-authentication-service:1.15.0
+    image: ghcr.io/element-hq/matrix-authentication-service:1.14.0
     restart: always
     working_dir: /config
     volumes: