Episode 13: Serverlessly Storing my Dad Jokes in a Dadabase - podcast episode cover

Episode 13: Serverlessly Storing my Dad Jokes in a Dadabase

Jun 06, 201834 minEp. 13
--:--
--:--
Listen in podcast apps:
Metacast
Spotify
Youtube
RSS

Episode description

Aurora, from Amazon Web Services (AWS), is a MySQL-compatible service for complex database structures. It offers capabilities and opportunities. But with Aurora, you’re putting a lot of trust in AWS to “just work” in ways not traditional to relational database services (RDS).

David Torgerson, Principal DevOps Engineer at Lucidchart, is a mystery wrapped in an enigma and virtually impossible to Google. He shares Lucidchart’s experience with migrating away from a traditional RDS to Aurora to free up developer time.

Some of the highlights of the show include:

  • Trade off of making someone else partially responsible for keeping your site up
  • Lucidchart’s overall database costs decreased 25% after switching to Aurora
  • Aurora unknowns: What is an I/Op in Aurora? When you write one piece of data, does it count as six I/Ops?
  • Multi-master Aurora is coming for failover time and disaster recovery purposes
  • Aurora drawbacks: No dedicated DevOps, increased failover time, and misleading performance speed
  • Providers offer ways to simplify your business processes, but not ways to get out of using their products due to vendor and platform lock-in
  • Lucidchart is skeptical about Aurora Serverless; will use or not depending on performance

Links:

.
For the best experience, listen in Metacast app for iOS or Android
Open in Metacast
Episode 13: Serverlessly Storing my Dad Jokes in a Dadabase | Screaming in the Cloud podcast - Listen or read transcript on Metacast