feat: Phase 1 - Complete authentication system with JWT

Backend Implementation (FastAPI + MongoDB):
- JWT authentication with access/refresh tokens
- User registration and login endpoints
- Password hashing with bcrypt (fixed 72-byte limit)
- Protected endpoints with JWT middleware
- Token refresh mechanism
- Role-Based Access Control (RBAC) structure
- Pydantic v2 models and async MongoDB with Motor
- API endpoints: /api/auth/register, /api/auth/login, /api/auth/me, /api/auth/refresh

Frontend Implementation (React + TypeScript + Material-UI):
- Login and Register pages with validation
- AuthContext for global authentication state
- API client with Axios interceptors for token refresh
- Protected routes with automatic redirect
- User profile display in navigation
- Logout functionality

Technical Achievements:
- Resolved bcrypt 72-byte limit (replaced passlib with native bcrypt)
- Fixed Pydantic v2 compatibility (PyObjectId, ConfigDict)
- Implemented automatic token refresh on 401 errors
- Created comprehensive test suite for all auth endpoints

Docker & Kubernetes:
- Backend image: yakenator/site11-console-backend:latest
- Frontend image: yakenator/site11-console-frontend:latest
- Deployed to site11-pipeline namespace
- Nginx reverse proxy configuration

Documentation:
- CONSOLE_ARCHITECTURE.md - Complete system architecture
- PHASE1_COMPLETION.md - Detailed completion report
- PROGRESS.md - Updated with Phase 1 status

All authentication endpoints tested and verified working.

🤖 Generated with Claude Code
Co-Authored-By: Claude <noreply@anthropic.com>

services/console/backend/shared/kafka/producer.py

@@ -0,0 +1,101 @@
+import json
+import asyncio
+from typing import Optional, Dict, Any
+from aiokafka import AIOKafkaProducer
+from aiokafka.errors import KafkaError
+import logging
+
+from .events import Event
+
+logger = logging.getLogger(__name__)
+
+class KafkaProducer:
+    def __init__(self, bootstrap_servers: str = "kafka:9092"):
+        self.bootstrap_servers = bootstrap_servers
+        self._producer: Optional[AIOKafkaProducer] = None
+        
+    async def start(self):
+        """Kafka Producer 시작"""
+        try:
+            self._producer = AIOKafkaProducer(
+                bootstrap_servers=self.bootstrap_servers,
+                value_serializer=lambda v: json.dumps(v).encode(),
+                compression_type="gzip",
+                acks='all',
+                retry_backoff_ms=100
+            )
+            await self._producer.start()
+            logger.info(f"Kafka Producer started: {self.bootstrap_servers}")
+        except Exception as e:
+            logger.error(f"Failed to start Kafka Producer: {e}")
+            raise
+    
+    async def stop(self):
+        """Kafka Producer 종료"""
+        if self._producer:
+            await self._producer.stop()
+            logger.info("Kafka Producer stopped")
+    
+    async def send_event(self, topic: str, event: Event) -> bool:
+        """이벤트 전송"""
+        if not self._producer:
+            logger.error("Producer not started")
+            return False
+            
+        try:
+            event_dict = event.dict()
+            event_dict['timestamp'] = event.timestamp.isoformat()
+            
+            await self._producer.send_and_wait(
+                topic,
+                value=event_dict,
+                key=event.correlation_id.encode() if event.correlation_id else None
+            )
+            
+            logger.info(f"Event sent to {topic}: {event.event_type}")
+            return True
+            
+        except KafkaError as e:
+            logger.error(f"Failed to send event to {topic}: {e}")
+            return False
+        except Exception as e:
+            logger.error(f"Unexpected error sending event: {e}")
+            return False
+    
+    async def send_batch(self, topic: str, events: list[Event]) -> int:
+        """여러 이벤트를 배치로 전송"""
+        if not self._producer:
+            logger.error("Producer not started")
+            return 0
+            
+        sent_count = 0
+        batch = self._producer.create_batch()
+        
+        for event in events:
+            event_dict = event.dict()
+            event_dict['timestamp'] = event.timestamp.isoformat()
+            
+            metadata = batch.append(
+                key=event.correlation_id.encode() if event.correlation_id else None,
+                value=json.dumps(event_dict).encode(),
+                timestamp=None
+            )
+            
+            if metadata is None:
+                # 배치가 가득 찼으면 전송하고 새 배치 생성
+                await self._producer.send_batch(batch, topic)
+                sent_count += len(batch)
+                batch = self._producer.create_batch()
+                batch.append(
+                    key=event.correlation_id.encode() if event.correlation_id else None,
+                    value=json.dumps(event_dict).encode(),
+                    timestamp=None
+                )
+        
+        # 남은 배치 전송
+        if batch:
+            await self._producer.send_batch(batch, topic)
+            sent_count += len(batch)
+        
+        logger.info(f"Sent {sent_count} events to {topic}")
+        return sent_count