What is Kong?

Kong is a scalable, open source API Layer (also known as an API Gateway, or API Middleware). Kong was originally built by Kong Inc. (formerly known as Mashape) to secure, manage and extend over 15,000 Microservices for its API Marketplace, which generates billions of requests per month.

Backed by the battle-tested NGINX with a focus on high performance, Kong was made available as an open-source platform in 2015. Under active development, Kong is now used in production at hundreds of organizations from startups, to large enterprises and government departments including: The New York Times, Expedia, Healthcare.gov, The Guardian, Condè Nast, The University of Auckland, Ferrari, and Giphy.

Kong's documentation can be found at getkong.org/docs.

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How to use this image

First, Kong requires a running Cassandra 2.2.x/3.x or PostgreSQL 9.4/9.5 cluster before it starts. You can either use the official Cassandra/PostgreSQL containers, or use your own.

1. Link Kong to either a Cassandra or PostgreSQL container

It's up to you to decide which datastore between Cassandra or PostgreSQL you want to use, since Kong supports both.

Cassandra

Start a Cassandra container by executing:

$ docker run -d --name kong-database \
                -p 9042:9042 \
                cassandra:3

Postgres

Start a PostgreSQL container by executing:

docker run -d --name kong-database \
                -p 5432:5432 \
                -e "POSTGRES_USER=kong" \
                -e "POSTGRES_DB=kong" \
                postgres:9.4

2. Prepare your database

Run the database migrations with an ephemeral Kong container:

docker run --rm \
    --link kong-database:kong-database \
    -e "KONG_DATABASE=postgres" \
    -e "KONG_PG_HOST=kong-database" \
    -e "KONG_CASSANDRA_CONTACT_POINTS=kong-database" \
    %%IMAGE%% kong migrations up

In the above example, both Cassandra and PostgreSQL are configured, but you should update the KONG_DATABASE environment variable with either cassandra or postgres.

Note: migrations should never be run concurrently; only one Kong node should be performing migrations at a time.

Start Kong

Once the database has been started and prepared, we can start a Kong container and link it to the database container, and configuring the KONG_DATABASE environment variable with either cassandra or postgres depending on which database you decided to use:

$ docker run -d --name kong \
    --link kong-database:kong-database \
    -e "KONG_DATABASE=cassandra" \
    -e "KONG_CASSANDRA_CONTACT_POINTS=kong-database" \
    -e "KONG_PROXY_ACCESS_LOG=/dev/stdout" \
    -e "KONG_ADMIN_ACCESS_LOG=/dev/stdout" \
    -e "KONG_PROXY_ERROR_LOG=/dev/stderr" \
    -e "KONG_ADMIN_ERROR_LOG=/dev/stderr" \
    -e "KONG_ADMIN_LISTEN=0.0.0.0:8001" \
    -e "KONG_ADMIN_LISTEN_SSL=0.0.0.0:8444" \
    -p 8000:8000 \
    -p 8443:8443 \
    -p 8001:8001 \
    -p 8444:8444 \
    %%IMAGE%%

If everything went well, and if you created your container with the default ports, Kong should be listening on your host's 8000 ([Proxy][http://getkong.org/docs/latest/configuration/#proxy_port]), 8443 (Proxy SSL), 8001 (Admin API) and 8444 (Admin API SSL) ports.

You can now read the docs at getkong.org/docs to learn more about Kong.

3. Use Kong with a custom configuration (and a custom Cassandra/PostgreSQL cluster)

You can override any property of the Kong configuration file with environment variables. Just prepend any Kong configuration property with the KONG_ prefix, for example:

$ docker run -d --name kong \
    -e "KONG_DATABASE=postgres"
    -e "KONG_PG_HOST=kong-database" \
    -e "KONG_LOG_LEVEL=info" \
    -e "KONG_CUSTOM_PLUGINS=helloworld" \
    -e "KONG_PG_HOST=1.1.1.1" \
    -e "KONG_ADMIN_LISTEN=0.0.0.0:8001" \
    -e "KONG_ADMIN_LISTEN_SSL=0.0.0.0:8444" \
    -p 8000:8000 \
    -p 8443:8443 \
    -p 8001:8001 \
    -p 8444:8444 \
    %%IMAGE%%

Reload Kong in a running container

If you change your custom configuration, you can reload Kong (without downtime) by issuing:

$ docker exec -it kong kong reload

This will run the kong reload command in your container.

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