community-images

Getting started · Supported containers · Contributing · Build Process · Additional resources

RapidFort is a solution for building secure, optimized Docker containers.

Every day, we scan the most popular Docker Hub container images and remove unused code. Then we publish the results to share with you.

Our container optimization process reduces the software attack surface and the chance of a vulnerability exploit.

Stop downloading container images with thousands of vulnerabilities. Start using secure containers with minimized attack surfaces.

Getting Started

RapidFort scans your Docker containers for vulnerabilities and looks for unused components that can be removed.

What containers are supported?

We’ve optimized and hardened some of the most popular container images on Docker Hub and are making them available to the community.

Repository	View Report	RapidFort Image	Pull Count
MariaDB			249,008
PostgreSQL			168,680
PostgreSQL Official			138,543
Redis™ Cluster			122,000
MySQL			109,599
Redis™			105,379
NGINX IronBank			97,152
MongoDB®			96,514
Redis™ IronBank			95,278
PostgreSQL IronBank			93,154
Consul IronBank			92,430
MongoDB® IronBank			86,897
NGINX			81,105
Grafana Oncall			77,168
MySQL IronBank			76,957
MariaDB IronBank			76,746
Envoy			75,412
Etcd			69,695
Zookeeper IronBank			66,817
MongoDB® Official			64,158
Fluentd			57,439
HAProxy Official			56,165
InfluxDB™			53,105
RabbitMQ			51,596
Microsoft SQL Server 2019			50,865
Zookeeper			48,256
HAProxy IronBank			46,108
Consul Official			45,116
Apache Airflow Scheduler			44,382
Apache IronBank			43,992
Memcached IronBank			41,657
Apache Airflow Worker			41,278
NATS			40,033
Wordpress			39,766
Apache Official			39,073
Consul			38,652
Apache			38,056
Prometheus			37,261
Zookeeper Official			37,085
Kong			35,102
Redis™ Official			34,585
Fluentd IronBank			33,774
Memcached			32,680
Apache Airflow			32,544
Couchdb Database Server IronBank			31,645
HAProxy			30,856
Ghost			28,760
NGINX Official			28,598
Cassandra Official			28,540
Couchdb Database Server Official			28,175
Curl			26,880
MySQL Official			24,691
Memcached Official			24,634
ElasticSearch			23,890
TRAEFIK			23,041
Fluentd Official			22,229
MariaDB Official			18,880
Couchdb Database Server			18,861
YOURLS			18,650
Vault			18,396
Telegraf			13,825
Envoy Official			13,243
NATS Official			11,132
ElasticSearch Official			9,077
Etcd Ironbank			7,597
Wordpress Ironbank			5,796
NATS Ironbank			4,061
Prometheus Ironbank			3,989
Grafana Ironbank			3,967
TRAEFIK Ironbank			3,864
Apache Airflow Ironbank			2,261
Keycloak Official			334

What IronBank containers are supported?

We’ve optimized and hardened some of the most popular container images on IronBank and are making them available to the community.

Repository	View Report	RapidFort Image	Pull Count
NGINX IronBank			97,152
Redis™ IronBank			95,278
PostgreSQL IronBank			93,154
Consul IronBank			92,430
MongoDB® IronBank			86,897
MySQL IronBank			76,957
MariaDB IronBank			76,746
Zookeeper IronBank			66,817
Microsoft SQL Server 2019			50,865
HAProxy IronBank			46,108
Apache IronBank			43,992
Memcached IronBank			41,657
Fluentd IronBank			33,774
Couchdb Database Server IronBank			31,645
Etcd Ironbank			7,597
Wordpress Ironbank			5,796
NATS Ironbank			4,061
Prometheus Ironbank			3,989
Grafana Ironbank			3,967
TRAEFIK Ironbank			3,864
Apache Airflow Ironbank			2,261

How to use Community Images

Here’s what you can do with Community Images.

# Docker
$ docker run --name redis -e ALLOW_EMPTY_PASSWORD=yes rapidfort/redis:latest

# Docker compose
$ docker-compose up -d

# Kubernetes Helm
$ helm repo add bitnami https://charts.bitnami.com/bitnami

# install redis, just replace repository with RapidFort registry
$ helm install my-redis bitnami/redis --set image.repository=rapidfort/redis

# install postgresql
$ helm install my-postgresql bitnami/postgresql --set image.repository=rapidfort/postgresql

How Community Images are Built

Source images are run through an optimization process that identifies and removes unused components from the image. You can contribute to this project by adding new images, improving coverage scripts, and adding regression and benchmark tests.