/vmaas

Vulnerability Metadata as a Service

Primary LanguagePythonGNU General Public License v2.0GPL-2.0

Tests codecov GitHub release

VMaaS

Vulnerability Metadata as a Service

What Is This Thing?

VMaaS is intended to be a microservice that has access to data connecting RPMs, repositories, errata, and CVEs, and can answer the question "What security changes do I have to apply to the following set of RPMs?"

The goal is to have a common set of data, that can be updated from multiple sources, and accessed from an arbitrary number of web-service instances. To that end, database contains the docker-definitions for getting the data store up and running, webapp is the service that uses the data to answer a variety of vulnerability-related questions, and reposcan is an example of a plugin whose job is to fill the datastore with vulnerability information.

What ISN'T This Thing?

VMaaS is NOT intended to be an inventory-management system. It doesn't 'remember' system profiles or containers, or manage inventory workflow in any way. An inventory-management system could use VMaaS as one source of 'health' information for the entities being managed.

Architecture

Quick Command Guide

Local deployment (development)

All-in-one command magic

docker-compose up      # Build images and start containers
docker-compose down    # Stop and remove containers (built images will persist)
docker-compose down -v # Stop and remove containers and database data volume (built images will persist)

Build images

docker-compose build

Building parameters

PIPENV_CHECK=0 docker-compose build # Builds images without performing "pipenv check" command

Managing containers

All at once

docker-compose start
docker-compose stop

Single service

docker-compose start vmaas_database
docker-compose stop vmaas_database

Initial Setup

This "Initial Setup" section was put together as I set up on my Fedora 27 system. Your mileage may vary.

Install docker and docker-compose

sudo dnf install docker docker-compose # install packages
sudo systemctl start docker # Start docker.
sudo docker run hello-world # Make sure it's working...

If you get output that says "Hello from Docker!" you've successfully installed Docker. Continue the set up...

For OpenShift deployment install also following tools.

sudo dnf install origin-clients ansible

Prepare Setup for Development

  • Start docker at boot.
  • Add docker group and your user to it. This will allow you to run docker as your user.
sudo systemctl enable docker
sudo groupadd docker
sudo usermod -aG docker $USER

Now, reboot the system to pick up the changes to the docker group. Then log back in and test running docker as your user.

docker run hello-world

Look for "Hello from Docker!" again.

First Run of VMaaS

Free ports

Make sure postgresql isn't running locally... we need port 5432 available. If anything is running on port 8080, stop that, too.

sudo systemctl stop postgresql

Clone, build, run

git clone https://github.com/RedHatInsights/vmaas.git # clone repo
cd vmaas
docker-compose up --build # build images and start containers

Use --build switch every time you want to rebuild project before running.'

Congratulations!

Run tests

You can run all tests from scratch just after cloning repo using command:

sudo podman-compose -f docker-compose.test.yml up --build --abort-on-container-exit

Developing / Debugging

You can build and start your container in "developer mode". You can tune metrics using Prometheus and Grafana dev containers, see doc/metrics.md.