I’ve been touting the benefits of our homegrown database of datacenters for a long time. Previously each time we engaged with a client it would start with a quick look at our database BUT since we didn’t have complete data we’d always need to fill the beginning of our colocation or cloud computing searches with many phones calls and emails.
To scale, we enabled any agent at ColoAdvisor to add new tables or fields to the database at will. No longer would it be enough to know the available square footage or how many diesel generators a facility had – real information had to be gathered and stored.
Here are some examples of the fields we now update regularly:
- How Many KW per rack can be accommodated
- What are the carriers available in this facility
- Products available above and beyond straight colocation
- Cloud pricing method (by instance, by compute unit etc)
- Cloud Virtualization Platform (VMware, Xen, KVM)
- Pricing information
Some real world scenarios we’ve worked on recently:
Our client was in need of high quality bandwidth and certain (low end) providers hadn’t worked well for them so they were looking for carriers that completely routed around them. This meant we needed knowledge of the blended bandwidth providers at the facility but also who they peered with. This is tricky to document but we are slowly being able to pull this type of data together quickly.
Clustered Database with High Density Colocation
Had a prospect looking for 25 KW density in cabinets for a very concentrated database cluster. A quick look at our database under products yielded “25 kW colocation” which allowed us to make a single phone call for pricing.
Medical Application Service Provider with Client/Server Architecture
Our client needed cloud computing that could allow virtual and dedicated server instances to be hosted with VPN connections back to each of their clients with specific Firewall hardware that they had chosen. A few searches allowed us to zero in on a solution quickly.
Here’s a video about our database [direct link]