Rise of the Distributed Databases

Rise of the Distributed Databases:
PJ Hagerty - Developer Relations, Crate.io

With the advent of distributed systems with such as Docker and Kubernetes, it was truly only a matter of time before our data solutions obtained the same structural needs. This talk will take a look at the history of databases, from relational databases like PostGres, to NoSQL solutions, to sharding, and truly distributed databases like Crate.io.

With each step, this talk will highlight the advantages and disadvantages of each system with an eye toward security, sanity, and the future.

Efficient Data: Resistance to Scale at Scale
Tyler Poland - DBA/Support Team Lead, Engine Yard

20 years ago the idea of one-click scaling of server resources was a fantasy for System Administrators and Engineers alike. Today's virtualized and cloud-based infrastructures put that ability at our fingertips, but so much focus is on "if we can" that the question of "if we should" is often ignored.

As applications and databases scale the cost of small inefficiencies has a tendency to build exponentially. We kick the can down the road because its a path of least resistance, and engineering for the sake of performance tuning can't always be seen or touted as value-add to our customer. All too often our applications, and our customers end up paying a high cost down the road with poor performance, and service outages.

In this talk we'll explore Database and to a lesser extent Application Efficiency with some specific technology examples. We'll highlight practices, techniques, and tools that can be applied when working with various popular technologies.