75 lines
2.4 KiB
YAML
75 lines
2.4 KiB
YAML
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# =============================================================================
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# Production overlay.
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#
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# docker compose -f docker-compose.yml -f docker-compose.prod.yml up -d
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#
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# What it changes:
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# * Elasticsearch authentication is switched on and every client is given
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# credentials.
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# * Kibana is no longer published; reach it through an SSH tunnel or an
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# authenticating reverse proxy.
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# * Containers get CPU/memory limits and no longer seed the dataset on boot.
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# * The API is fronted by HTTPS (SECURE_SSL_REDIRECT + HSTS come from
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# config/settings/prod.py).
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#
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# TLS between the containers is intentionally out of scope here: in a real
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# deployment the cluster sits behind a service mesh or an internal load
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# balancer that terminates it. See docs/SECURITY.md.
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# =============================================================================
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services:
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elasticsearch:
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environment:
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xpack.security.enabled: "true"
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ELASTIC_PASSWORD: ${ELASTIC_PASSWORD:?ELASTIC_PASSWORD is required in production}
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healthcheck:
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test:
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- "CMD-SHELL"
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- "curl -fsS -u elastic:${ELASTIC_PASSWORD} 'http://localhost:9200/_cluster/health?wait_for_status=yellow&timeout=5s' >/dev/null || exit 1"
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deploy:
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resources:
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limits: { memory: 2g }
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logstash:
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environment:
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# The Elasticsearch output reads its credentials from the URL.
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ELASTICSEARCH_HOSTS: http://elastic:${ELASTIC_PASSWORD}@elasticsearch:9200
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deploy:
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resources:
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limits: { memory: 1g }
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kibana:
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environment:
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ELASTICSEARCH_USERNAME: elastic
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ELASTICSEARCH_PASSWORD: ${ELASTIC_PASSWORD}
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# Remove the published port: Kibana is reached through a tunnel or proxy.
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ports: !reset []
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deploy:
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resources:
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limits: { memory: 1g }
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backend:
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environment:
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DJANGO_SETTINGS_MODULE: config.settings.prod
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DJANGO_DEBUG: "false"
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SECURE_SSL_REDIRECT: "true"
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ELASTICSEARCH_USERNAME: elastic
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ELASTICSEARCH_PASSWORD: ${ELASTIC_PASSWORD}
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# A production container must never mutate data on boot.
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SEED_DATASET: "false"
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SEED_USERS: "false"
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deploy:
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replicas: 2
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resources:
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limits: { cpus: "1.0", memory: 768m }
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frontend:
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deploy:
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resources:
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limits: { cpus: "0.5", memory: 128m }
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postgres:
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deploy:
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resources:
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limits: { memory: 1g }
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