vagrant_aiddata-internal

The development environment required to work on AidData internal.

Setup

Pre-requisites

• Vagrant
• r10k Ruby Gem

Installing Puppet Modules

Puppet modules need to be installed using r10k before the machine can be provisioned.

cd puppet/
r10k puppetfile install

Use

To start the vagrant machine, run vagrant up. Since the machine is setup the same way that the production environment is set up, the initial startup may take a while. In production the various services we're installing on one machine are spread across multiple servers.

The root of the vagrant_aiddata-internal repository is mounted at /vagrant inside the machine.

Ports

Ports 27017 (MongoDB), 9200 (Elasticsearch), 5433 (PostgreSQL), and 8085 (Web) listen on 127.0.0.1 on the development machine and are mapped to the vagrant box so that services can be accessed through desktop tools.

SSH Access

The machine can be accessed using ssh with vagrant ssh. The default user can sudo to root without a password.

Saving State

vagrant suspend and vagrant resume can be used to avoid having to rebuild the machine each time.

Terminating the machine

vagrant destroy will completely remove the running machine, including data in the various services. Data written to the shared directory will be saved.

Re-provisioning

Puppet can repair configuration files and packages if they were originally set by puppet using vagrant provision.

Installed Services

• Java (JDK 1.7.0_ulatest)
• PostgreSQL (9.3.latest)
• MongoDB (2.6.6)
  • Server, client, and tools
• Elasticsearch (1.4.2)
  • elasticsearch/elasticsearch-cloud-aws/2.4.2 (for backups and replica discovery in AWS)
  • com.github.richardwilly98.elasticsearch/elasticsearch-river-mongodb/2.0.5
  • elasticsearch/elasticsearch-lang-javascript/2.4.1
  • elasticsearch/elasticsearch-mapper-attachments/2.4.3
• RabbitMQ
• Maven
• NodeJS (0.12)
  • bower (1.3.10)
  • grunt-cli (0.1.13)

Passwords

The only service that uses a password is PostgreSQL:

• Username: ad_internal
• Password: password
• Database: ad_internal