feat: add observability stack and background task infrastructure

Add OpenTelemetry instrumentation with distributed tracing and metrics:
- Structured JSON logging with trace context correlation
- Auto-instrumentation for FastAPI, asyncpg, httpx, redis
- OTLP exporter for traces and Prometheus metrics endpoint

Implement Celery worker and notification task system:
- Celery app with Redis/SQS broker support and configurable queues
- Notification tasks for incident fan-out, webhooks, and escalations
- Pluggable TaskQueue abstraction with in-memory driver for testing

Add Grafana observability stack (Loki, Tempo, Prometheus, Grafana):
- OpenTelemetry Collector for receiving OTLP traces and logs
- Tempo for distributed tracing backend
- Loki for log aggregation with Promtail DaemonSet
- Prometheus for metrics scraping with RBAC configuration
- Grafana with pre-provisioned datasources and API overview dashboard
- Helm templates for all observability components

Enhance application infrastructure:
- Global exception handlers with structured ErrorResponse schema
- Request logging middleware with timing metrics
- Health check updated to verify task queue connectivity
- Non-root user in Dockerfile for security
- Init containers in Helm deployments for dependency ordering
- Production Helm values with autoscaling and retention policies

observability/tempo/config.yaml

@@ -0,0 +1,32 @@
+server:
+  http_listen_port: 3200
+
+distributor:
+  receivers:
+    otlp:
+      protocols:
+        grpc:
+          endpoint: 0.0.0.0:4317
+        http:
+          endpoint: 0.0.0.0:4318
+
+ingester:
+  trace_idle_period: 10s
+  max_block_bytes: 1048576
+  max_block_duration: 5m
+
+compactor:
+  compaction:
+    block_retention: 168h  # 7 days
+
+storage:
+  trace:
+    backend: local
+    local:
+      path: /var/tempo/traces
+    wal:
+      path: /var/tempo/wal
+
+querier:
+  search:
+    query_timeout: 30s