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docker-compose.yml
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356 lines (326 loc) · 8.04 KB
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# docker-compose.yml
# Complete deployment configuration for CTV Temporal Analytics Engine
version: '3.8'
services:
# Neo4j Database for Temporal Knowledge Graph
neo4j:
image: neo4j:5.15
container_name: ctv-neo4j
ports:
- "7474:7474"
- "7687:7687"
environment:
- NEO4J_AUTH=neo4j/ctvanalytics
- NEO4J_PLUGINS=["apoc", "graph-data-science"]
- NEO4J_dbms_security_procedures_unrestricted=apoc.*,gds.*
- NEO4J_dbms_memory_heap_initial__size=2G
- NEO4J_dbms_memory_heap_max__size=4G
volumes:
- neo4j_data:/data
- neo4j_logs:/logs
- neo4j_import:/var/lib/neo4j/import
- neo4j_plugins:/plugins
networks:
- ctv-network
# Redis for Caching and Session Management
redis:
image: redis:7-alpine
container_name: ctv-redis
ports:
- "6379:6379"
volumes:
- redis_data:/data
networks:
- ctv-network
# Apache Kafka for Event Streaming
zookeeper:
image: confluentinc/cp-zookeeper:7.4.0
container_name: ctv-zookeeper
environment:
ZOOKEEPER_CLIENT_PORT: 2181
ZOOKEEPER_TICK_TIME: 2000
networks:
- ctv-network
kafka:
image: confluentinc/cp-kafka:7.4.0
container_name: ctv-kafka
depends_on:
- zookeeper
ports:
- "9092:9092"
environment:
KAFKA_BROKER_ID: 1
KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:29092,PLAINTEXT_HOST://localhost:9092
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1
KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1
KAFKA_AUTO_CREATE_TOPICS_ENABLE: true
volumes:
- kafka_data:/var/lib/kafka/data
networks:
- ctv-network
# Kafka UI for Management
kafka-ui:
image: provectuslabs/kafka-ui:latest
container_name: ctv-kafka-ui
depends_on:
- kafka
ports:
- "8080:8080"
environment:
KAFKA_CLUSTERS_0_NAME: local
KAFKA_CLUSTERS_0_BOOTSTRAPSERVERS: kafka:29092
networks:
- ctv-network
# InfluxDB for Time Series Metrics
influxdb:
image: influxdb:2.7
container_name: ctv-influxdb
ports:
- "8086:8086"
environment:
- DOCKER_INFLUXDB_INIT_MODE=setup
- DOCKER_INFLUXDB_INIT_USERNAME=admin
- DOCKER_INFLUXDB_INIT_PASSWORD=ctvanalytics
- DOCKER_INFLUXDB_INIT_ORG=ctv-analytics
- DOCKER_INFLUXDB_INIT_BUCKET=ctv-metrics
volumes:
- influxdb_data:/var/lib/influxdb2
networks:
- ctv-network
# Grafana for Visualization
grafana:
image: grafana/grafana:10.2.0
container_name: ctv-grafana
ports:
- "3000:3000"
environment:
- GF_SECURITY_ADMIN_PASSWORD=ctvanalytics
- GF_INSTALL_PLUGINS=grafana-worldmap-panel,grafana-piechart-panel
volumes:
- grafana_data:/var/lib/grafana
- ./grafana/dashboards:/etc/grafana/provisioning/dashboards
- ./grafana/datasources:/etc/grafana/provisioning/datasources
depends_on:
- influxdb
networks:
- ctv-network
# CTV Analytics Engine Application
ctv-analytics:
build:
context: .
dockerfile: Dockerfile
container_name: ctv-analytics-engine
depends_on:
- neo4j
- redis
- kafka
- influxdb
environment:
- NEO4J_URI=bolt://neo4j:7687
- NEO4J_USER=neo4j
- NEO4J_PASSWORD=ctvanalytics
- REDIS_URL=redis://redis:6379
- KAFKA_SERVERS=kafka:29092
- INFLUXDB_URL=http://influxdb:8086
- INFLUXDB_TOKEN=your-token-here
- INFLUXDB_ORG=ctv-analytics
- INFLUXDB_BUCKET=ctv-metrics
- GAM_CREDENTIALS_PATH=/app/credentials/gam-credentials.json
- PREBID_SERVER_URL=http://prebid-server:8080
volumes:
- ./credentials:/app/credentials
- ./logs:/app/logs
networks:
- ctv-network
# Mock Prebid Server for Testing
prebid-server:
image: prebid/prebid-server:latest
container_name: ctv-prebid-server
ports:
- "8081:8080"
environment:
- PBS_ADMIN_PORT=6060
volumes:
- ./prebid-config:/app/config
networks:
- ctv-network
# Data Generator for Testing
data-generator:
build:
context: ./data-generator
dockerfile: Dockerfile
container_name: ctv-data-generator
depends_on:
- kafka
environment:
- KAFKA_SERVERS=kafka:29092
- GENERATION_RATE=100 # events per second
networks:
- ctv-network
volumes:
neo4j_data:
neo4j_logs:
neo4j_import:
neo4j_plugins:
redis_data:
kafka_data:
influxdb_data:
grafana_data:
networks:
ctv-network:
driver: bridge
---
# kubernetes-deployment.yaml
# Kubernetes deployment for production environments
apiVersion: v1
kind: Namespace
metadata:
name: ctv-analytics
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: ctv-analytics-engine
namespace: ctv-analytics
spec:
replicas: 3
selector:
matchLabels:
app: ctv-analytics-engine
template:
metadata:
labels:
app: ctv-analytics-engine
spec:
containers:
- name: ctv-analytics
image: ctv-analytics:latest
ports:
- containerPort: 8000
env:
- name: NEO4J_URI
valueFrom:
secretKeyRef:
name: ctv-secrets
key: neo4j-uri
- name: NEO4J_USER
valueFrom:
secretKeyRef:
name: ctv-secrets
key: neo4j-user
- name: NEO4J_PASSWORD
valueFrom:
secretKeyRef:
name: ctv-secrets
key: neo4j-password
resources:
requests:
memory: "1Gi"
cpu: "500m"
limits:
memory: "4Gi"
cpu: "2000m"
volumeMounts:
- name: config-volume
mountPath: /app/config
- name: credentials-volume
mountPath: /app/credentials
volumes:
- name: config-volume
configMap:
name: ctv-config
- name: credentials-volume
secret:
secretName: ctv-credentials
---
apiVersion: v1
kind: Service
metadata:
name: ctv-analytics-service
namespace: ctv-analytics
spec:
selector:
app: ctv-analytics-engine
ports:
- protocol: TCP
port: 80
targetPort: 8000
type: LoadBalancer
---
# config.yaml
# Application configuration file
database:
neo4j:
uri: ${NEO4J_URI}
user: ${NEO4J_USER}
password: ${NEO4J_PASSWORD}
max_connection_lifetime: 3600
max_connection_pool_size: 50
connection_acquisition_timeout: 60
cache:
redis:
url: ${REDIS_URL}
max_connections: 20
retry_on_timeout: true
decode_responses: true
streaming:
kafka:
servers: ${KAFKA_SERVERS}
consumer_group: ctv-analytics-group
auto_offset_reset: latest
enable_auto_commit: false
max_poll_records: 500
session_timeout_ms: 30000
metrics:
influxdb:
url: ${INFLUXDB_URL}
token: ${INFLUXDB_TOKEN}
org: ${INFLUXDB_ORG}
bucket: ${INFLUXDB_BUCKET}
integrations:
gam:
credentials_path: ${GAM_CREDENTIALS_PATH}
api_version: v202311
network_code: ${GAM_NETWORK_CODE}
prebid:
server_url: ${PREBID_SERVER_URL}
timeout: 30
retry_attempts: 3
optimization:
rules:
enabled: true
evaluation_interval: 60 # seconds
batch_size: 1000
machine_learning:
model_update_interval: 3600 # seconds
training_data_window: 7 # days
prediction_threshold: 0.8
logging:
level: INFO
format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
file: /app/logs/ctv-analytics.log
max_file_size: 100MB
backup_count: 5
monitoring:
health_check_interval: 30
metrics_collection_interval: 60
alert_thresholds:
error_rate: 0.05
response_time_p95: 1000 # milliseconds
memory_usage: 0.85
topics:
input:
- ctv_bid_requests
- ctv_bid_responses
- ctv_impressions
- ctv_viewability
- ctv_completions
- ctv_clicks
- ctv_conversions
output:
- ctv_optimizations
- ctv_alerts
- ctv_recommendations