Build Networks with VLANs

• graylog-docker

  5 349 7.6 Shell

  Official Graylog Docker image

  

version: '3' services: # MongoDB: https://hub.docker.com/_/mongo/ mongo: image: mongo:5.0.13 networks: - graylog # Elasticsearch: https://www.elastic.co/guide/en/elasticsearch/reference/7.10/docker.html elasticsearch: image: docker.elastic.co/elasticsearch/elasticsearch-oss:7.10.2 environment: - http.host=0.0.0.0 - transport.host=localhost - network.host=0.0.0.0 - "ES_JAVA_OPTS=-Dlog4j2.formatMsgNoLookups=true -Xms512m -Xmx512m" ulimits: memlock: soft: -1 hard: -1 deploy: resources: limits: memory: 1g networks: - graylog # Graylog: https://hub.docker.com/r/graylog/graylog/ graylog: image: graylog/graylog:5.0 environment: # CHANGE ME (must be at least 16 characters)! - GRAYLOG_PASSWORD_SECRET=somepasswordpepper # Password: admin - GRAYLOG_ROOT_PASSWORD_SHA2=8c6976e5b5410415bde908bd4dee15dfb167a9c873fc4bb8a81f6f2ab448a918 - GRAYLOG_HTTP_EXTERNAL_URI=http://127.0.0.1:9000/ entrypoint: /usr/bin/tini -- wait-for-it elasticsearch:9200 -- /docker-entrypoint.sh networks: - graylog restart: always depends_on: - mongo - elasticsearch ports: # Graylog web interface and REST API - 9000:9000 # Syslog TCP - 514:514 # Syslog UDP - 514:514/udp # GELF TCP - 12201:12201 # GELF UDP - 12201:12201/udp networks: graylog: driver: bridge

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

Suggest a related project