Kyle Davis

If your career has been built on PostgreSQL, MySQL, or Oracle RDBMS, key-value databases can look like a strange animal: no schema, no joins, no SQL, and durability that’s optional by design. So where does it actually belong in your architecture? Why do so many applications tend to use both a...

Two databases in one application seems like an odd pattern. However, in this session you’ll learn why two databases in a single application is better than one, when one database often solves problems with the other, how it unlocks the true path to performance, and what Percona has ready and...

In-memory databases are fundamentally different. The unification of operating memory and storage means that you have to consider what, and how, data is stored to achieve performance, efficiency, and scalability. And, critically, small differences in how both the underlying database system and...

The key/value data model is arguably the simplest data model amongst databases. Provide the key, receive the data. And yet despite, or maybe because of this, Redis/Valkey is everywhere.

Using Valkey with your application tends to give quick performance wins using only a few strategically placed GETs and SETs. However, understanding all of Valkey’s data types and commands unlocks even more use cases and performance boosts.

Bottlerocket is a Linux operating system built to host containers with a reduced area of potential attack impact, including the elimination of an interactive shell. However, the lack of a shell shouldn’t stop you from shipping and aggregating log data!

The task of running a general-purpose compute workload is different than what’s required for a node that hosts containers in a cluster. When you optimize for only hosting containers, new options appear and entire classes of problems are eliminated.