kongEstimated reading time: 6 minutes
Open-source Microservice & API Management layer built on top of NGINX.
GitHub repo: https://github.com/Mashape/kong
Supported tags and respective
Where to file issues:
the Mashape Docker Maintainers
Supported Docker versions:
the latest release (down to 1.6 on a best-effort basis)
What is Kong?
Kong is a scalable, open source API Layer (also known as an API Gateway, or API Middleware). Kong was originally built at 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 and The University of Auckland.
Kong’s documentation can be found at getkong.org/docs.
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.
Start a Cassandra container by executing:
$ docker run -d --name kong-database \ -p 9042:9042 \ cassandra:3
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" \ kong kong migrations up
In the above example, both Cassandra and PostgreSQL are configured, but you should update the
KONG_DATABASE environment variable with either
Note: migrations should never be run concurrently; only one Kong node should be performing migrations at a time.
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
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_PG_HOST=kong-database" \ -p 8000:8000 \ -p 8443:8443 \ -p 8001:8001 \ -p 8444:8444 \ kong
If everything went well, and if you created your container with the default ports, Kong should be listening on your host’s
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_LOG_LEVEL=info" \ -e "KONG_CUSTOM_PLUGINS=helloworld" \ -e "KONG_PG_HOST=220.127.116.11" \ -p 8000:8000 \ -p 8443:8443 \ -p 8001:8001 \ -p 7946:7946 \ -p 7946:7946/udp \ kong
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.
kong images come in many flavors, each designed for a specific use case.
This is the defacto image. If you are unsure about what your needs are, you probably want to use this one. It is designed to be used both as a throw away container (mount your source code and start the container to start your app), as well as the base to build other images off of.
This image is based on the popular Alpine Linux project, available in the
alpine official image. Alpine Linux is much smaller than most distribution base images (~5MB), and thus leads to much slimmer images in general.
This variant is highly recommended when final image size being as small as possible is desired. The main caveat to note is that it does use musl libc instead of glibc and friends, so certain software might run into issues depending on the depth of their libc requirements. However, most software doesn’t have an issue with this, so this variant is usually a very safe choice. See this Hacker News comment thread for more discussion of the issues that might arise and some pro/con comparisons of using Alpine-based images.
To minimize image size, it’s uncommon for additional related tools (such as
bash) to be included in Alpine-based images. Using this image as a base, add the things you need in your own Dockerfile (see the
alpine image description for examples of how to install packages if you are unfamiliar).
View license information for the software contained in this image.library, sample, kong