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docker-compose.yml
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79 lines (74 loc) · 2.01 KB
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version: "3.7"
services:
postgres:
image: postgres:17
ports:
- "5432:5432"
environment:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
POSTGRES_DB: transactions_db
healthcheck:
test: ["CMD-SHELL", "pg_isready -U postgres -d transactions_db"]
interval: 5s
timeout: 5s
retries: 10
volumes:
- ./db:/docker-entrypoint-initdb.d
zookeeper:
image: confluentinc/cp-zookeeper:5.5.3
environment:
ZOOKEEPER_CLIENT_PORT: 2181
kafka:
image: confluentinc/cp-enterprise-kafka:5.5.3
depends_on:
- zookeeper
ports:
- "9092:9092"
environment:
KAFKA_ZOOKEEPER_CONNECT: "zookeeper:2181"
KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:29092,PLAINTEXT_HOST://localhost:9092
KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
KAFKA_BROKER_ID: 1
KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
KAFKA_JMX_PORT: 9991
#Se agrego redis como una solución opcional cuando se tiene escenarios de alto volumen: escritura y lectura, segun descrito en el reto
redis:
image: redis:7-alpine
ports:
- "6379:6379"
command: redis-server --maxmemory 256mb --maxmemory-policy allkeys-lru
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 5s
timeout: 5s
retries: 10
transaction-service:
build: ./transaction-service
ports:
- "8080:8080"
depends_on:
postgres:
condition: service_healthy
kafka:
condition: service_started
redis:
condition: service_healthy
environment:
DB_HOST: postgres
DB_PORT: 5432
DB_USER: postgres
DB_PASS: postgres
DB_NAME: transactions_db
KAFKA_BROKERS: kafka:29092
REDIS_HOST: redis
REDIS_PORT: 6379
restart: on-failure
antifraud-service:
build: ./antifraud-service
depends_on:
kafka:
condition: service_started
environment:
KAFKA_BROKERS: kafka:29092
restart: on-failure