docker-ttrss

This Docker image allows you to run the Tiny Tiny RSS feed reader.

About Tiny Tiny RSS

Quickstart

The fastest way to use this image is with docker-compose. I use the following file for an internal deployment:

version: '2'

services:
  postgresql:
    restart: on-failure
    image: postgres:9.6.3
    volumes:
      - '/srv/ttrss/postgresql:/var/lib/postgresql/:Z'
    environment:
    - POSTGRES_USER=ttrss
    - POSTGRES_PASSWORD=some_password
    - POSTGRES_DB=ttrss-production

  ttrss:
    restart: on-failure
    image: tschwery/ttrss
    depends_on:
    - postgresql
    ports:
    - "30080:80"
    environment:
      - DB_HOST=postgresql
      - DB_PORT=5432
      - DB_NAME=ttrss-production
      - DB_USER=ttrss
      - DB_PASS=some_password
      - DB_TYPE=pgsql
      - SELF_URL_PATH=https://ttrss.srv.local

Then initialize and launch the containers:

$ docker-compose -d up

Running this command will download the images automatically, create the containers and start them.

Accessing your webinterface

The above example exposes the Tiny Tiny RSS webinterface on port 30080, so that you can browse to http://localhost:30080

The default login credentials are:

• Username: admin
• Password: password

Obviously, change these as soon as possible.

Environment variables configuration

• DB_HOST: Host of the database to use
• DB_TYPE: Type of database
• DB_PORT: Port used. Set to the default values for MySQL or PostgreSQL if not defined
• DB_NAME: Name of the database. It must already be created.
• DB_USER: User to access the database
• DB_PASS: Password to access the database
• SELF_URL_PATH: URL to the tt-rss installation (From tt-rss documentation: ) You need to set this option correctly otherwise several features including PUSH, bookmarklets and browser integration will not work properly.

In addition to these variables, every defined value in the config.php file can be overridden using an environment variable.

Volumes

This container should not have any data to backup. Read the documentation of the database container for the volumes needed to save the database content.