countly-server Docker & Self-Hosted Deployment

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Countly is a privacy-first, AI-powered analytics and engagement platform for understanding and optimizing customer journeys across digital applications,...

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RAW Compose
1. Pull Image (DOCKERHUB) docker pull countly/api
2. Docker Run (1-Click Launch) docker run -d --name countly-server -p 80:80 --restart always countly/api:latest
3. Podman Run podman run -d --name countly-server -p 80:80 --restart always countly/api:latest
4. Skopeo Inspect (Zero-Pull Manifest) skopeo inspect docker://docker.io/countly/api:latest
5. ORAS Pull (OCI Artifact) oras pull countly/api:latest
6. Compose Deployment docker compose up -d
docker-compose.yml
Download .yml 
version: "3.7"

volumes:
  mongodb_data:

networks:
  countly:

services:
  mongodb:
    image: 'bitnami/mongodb:latest'
    volumes:
      - 'mongodb_data:/bitnami'
    networks:
      countly:

  countly-api:
    image: 'countly/api:latest'
    # Countly Enterprise: image: 'gcr.io/countly-01/api:20.11.2'
    environment:
      - COUNTLY_PLUGINS=mobile,web,desktop,plugins,density,locale,browser,sources,views,logger,systemlogs,populator,reports,crashes,push,star-rating,slipping-away-users,compare,server-stats,dbviewer,times-of-day,compliance-hub,alerts,onboarding,consolidate,remote-config,hooks,dashboards,sdk,data-manager
      # Countly Enterprise: - COUNTLY_PLUGINS=mobile,web,desktop,plugins,density,locale,browser,sources,views,license,drill,funnels,retention_segments,flows,cohorts,surveys,remote-config,ab-testing,formulas,activity-map,concurrent_users,revenue,logger,systemlogs,populator,reports,crashes,push,geo,block,restrict,users,star-rating,slipping-away-users,compare,server-stats,assistant,dbviewer,crash_symbolication,crashes-jira,groups,white-labeling,alerts,times-of-day,compliance-hub,onboarding,active_users,performance-monitoring,config-transfer,consolidate,data-manager,hooks,dashboards,sdk
      - COUNTLY_CONFIG__MONGODB_HOST=mongodb
      - COUNTLY_CONFIG_API_API_WORKERS=4 # CPU core count
      - COUNTLY_CONFIG__FILESTORAGE="gridfs"
      - NODE_OPTIONS="--max-old-space-size=2048"
    deploy:
      restart_policy:
        condition: on-failure
        delay: 5s
        max_attempts: 3
        window: 400s
    networks:
      countly:
    depends_on:
      - mongodb

  countly-frontend:
    image: 'countly/frontend:latest'
    # Countly Enterprise: image: 'gcr.io/countly-01/frontend:20.11.2'
    environment:
      - COUNTLY_PLUGINS=mobile,web,desktop,plugins,density,locale,browser,sources,views,logger,systemlogs,populator,reports,crashes,push,star-rating,slipping-away-users,compare,server-stats,dbviewer,times-of-day,compliance-hub,alerts,onboarding,consolidate,remote-config,hooks,dashboards,sdk,data-manager
      # Countly Enterprise: - COUNTLY_PLUGINS=mobile,web,desktop,plugins,density,locale,browser,sources,views,license,drill,funnels,retention_segments,flows,cohorts,surveys,remote-config,ab-testing,formulas,activity-map,concurrent_users,revenue,logger,systemlogs,populator,reports,crashes,push,geo,block,restrict,users,star-rating,slipping-away-users,compare,server-stats,assistant,dbviewer,crash_symbolication,crashes-jira,groups,white-labeling,alerts,times-of-day,compliance-hub,onboarding,active_users,performance-monitoring,config-transfer,consolidate,data-manager,hooks,dashboards,sdk
      - COUNTLY_CONFIG__MONGODB_HOST=mongodb
      - NODE_OPTIONS="--max-old-space-size=2048"
    networks:
      countly:
    depends_on:
      - mongodb
    deploy:
      # There is usually no need in multiple frontends, so throttling down resources for it
      mode: global
      resources:
        limits:
          cpus: '0.5'
      restart_policy:
        condition: on-failure
        delay: 5s
        max_attempts: 3
        window: 400s

  nginx:
    image: 'bitnami/nginx'
    ports:
      - '80:8080'
    volumes:
      - './bin/docker/nginx.server.conf:/opt/bitnami/nginx/conf/server_blocks/countly.conf:ro'
    networks:
      countly:
    depends_on:
      - countly-api
      - countly-frontend