Optimize production memory allocation

backend/tests/test_kamal_deploy_config.py

@@ -91,6 +91,22 @@ def test_prd_postgres_backup_uses_local_mounted_storage():
     assert "ENV.fetch('BACKUP_LOCAL_DIR', '/var/backups/btaa-geospatial-api')" in config_text
 
 
+def test_prd_memory_profile_protects_service_headroom():
+    prd_config = _load_deploy_config("config/deploy.prd.yml")
+    config_text = (REPO_ROOT / "config/deploy.prd.yml").read_text()
+
+    assert prd_config["servers"]["web"]["options"]["memory"] == "5120m"
+    assert prd_config["servers"]["worker"]["options"]["memory"] == "4096m"
+
+    elasticsearch = prd_config["accessories"]["elasticsearch"]
+    assert elasticsearch["options"]["memory"] == "8g"
+    assert elasticsearch["env"]["clear"]["ES_JAVA_OPTS"] == "-Xms4g -Xmx4g"
+
+    redis = prd_config["accessories"]["redis"]
+    assert redis["options"]["memory"] == "18g"
+    assert "ENV.fetch('REDIS_MAXMEMORY', '16gb')" in config_text
+
+
 def test_appsignal_prd_identity():
     prd_env = _load_deploy_config("config/deploy.prd.yml")["env"]["clear"]
     config_text = (REPO_ROOT / "config/deploy.prd.yml").read_text()

config/deploy.prd.yml

@@ -29,7 +29,7 @@ servers:
     cmd: bash -c "cd /app/backend && exec /opt/venv/bin/celery -A app.tasks.worker worker --loglevel=INFO"
     options:
       cpus: 1.75
-      memory: 2048m
+      memory: 4096m
 
   cron:
     hosts:
@@ -156,9 +156,18 @@ env:
 
 accessories:
   elasticsearch:
+    options:
+      memory: 8g
     env:
       clear:
         ES_JAVA_OPTS: "-Xms4g -Xmx4g"
       secret:
         - AWS_ACCESS_KEY_ID
         - AWS_SECRET_ACCESS_KEY
+
+  redis:
+    options:
+      memory: 18g
+    env:
+      clear:
+        REDIS_MAXMEMORY: "<%= ENV.fetch('REDIS_MAXMEMORY', '16gb') %>"