Server and Network Recommendations

DivvyCloud is flexible enough to support different implementation options, but these are our recommendations for server and network settings.

DivvyCloud Instances

DivvyCloud runs on Ubuntu and CentOS variants. We recommend using the following:

  • Ubuntu 16.04+
  • CentOS 7+ (see note below)

For evaluation purposes, DivvyCloud can run on a standalone instance, but most enterprise deployments require at least two instances with at least:

  • 4 cores
  • 8 GB of memory
  • 30 GB root volume

Backend Services

In addition to a frontend layer, DivvyCloud has a backend that consists of MySQL 5.7 and Redis 3.x. These services can be fulfilled by dedicated virtual machines or public, cloud-based services such as AWS RDS and Elasticache.

The MySQL database instance should have at least:

  • 4 cores
  • 16 GB of memory
  • 100 GB volume

The Redis memcache instance should have at least:

  • 1 core
  • 2 GB of memory

Network Connections

DivvyCloud’s platform needs access to some public Internet services in order to function properly. All of these network connections are HTTPS traffic on outbound TCP port 443. The specific list of network connections varies based upon requirements, but commonly include:


DivvyCloud licensing server

DivvyCloud Insight distribution


Amazon Web Services API endpoints

Microsoft Azure API endpoints*

Google Cloud Platform API endpoints


Zendesk support widget

Zendesk support widget


Sentry (optional error reporting)

In addition, DivvyCloud requires customer-defined API endpoints when connecting to VMWare vSphere or OpenStack cloud platforms.

For end-user access, DivvyCloud runs on port 8001 but can be mapped to port 80 or 443 using any number of proxy services including Apache2, Nginx, AWS ELB or others.

Proxy Configuration

Many customers have network security requirements that prohibit all outbound traffic from VPCs. DivvyCloud customers have successfully implemented DivvyCloud using proxy servers. The following describes a typical two-part approach: pre-install and post-install. Pre-install, you must set system environment variables. Post-install, you must set DivvyCloud environment variables. To update system environment variables:

For Ubuntu, log into each instance via SSH and append the following to /etc/environment


For CentOS, log into each instance via SSH and append the following to /etc/profile.d/

export http_proxy="http://<PROXYSERVERIP:PORT>"
export https_proxy="https://<PROXYSERVERIP:PORT>"
export no_proxy="mysql,redis,"

Where you replace PROXYSERVERIP and PORT values with the actual IP and port values of your proxy servers. If your proxy server requires a username and password, you can format the proxy server variable as follows:


If you are installing a Test Drive deployment, then update your no_proxy variable further by adding these local and loopback IPs:


After configuring the proxy, change to the user, divvy, and verify the change:

sudo su - divvy
env | grep proxy

The proxy configuration variables should be displayed. If not, log out of the system and log back in so that the environment variables take effect.

Next, install DivvyCloud using the Linux Test Drive, Windows Test Drive, or Scalable deployments.

Post-install, after stopping DivvyCloud, update DivvyCloud environment variables, which are located in /divvycloud/prod.env. You will need to uncomment and update the following lines in the prod.env file on each instance:

# Uncomment and adjust the below values if behind a proxy. Please note that
# are used for AWS Instance/STS AssumeRole.

As before, replace with the actual IP and port values of your proxy servers. And, as before, if you are following the Test Drive deployment, add these local and loopback IPs to your no_proxy to have the following:


CentOS and MySQL

Note about CentOS with SE Linux – SE Linux prevents Docker from writing MySQL data to the host system. The workaround is to run this command from the ‘divvycloud’ directory on each instance:

chcon -Rt svirt_sandbox_file_t data