Tech Talk Series: Realities of Scaling MySQL in the Cloud, and Ways Around It

Tech Talk Series

Realities of Scaling MySQL in the Cloud, and Ways Around It


April 18th | 10am PDT

Sharding Complications
& Complexities

May 2nd | 10am PDT

Scaling Up
& Down

May 16th | 10am PDT

High Availability

June 1st | 10am PDT

ClustrixDB #BetterSQL

MySQL is the de facto standard for transactional databases for web apps worldwide. Everyone knows MySQL, and with its ubiquity, virtually every developer starts developing with it. Its popularity ranks its own letter, putting the ‘M’ in the beloved LAMP stack. But as web apps move to cloud-scale, the MySQL scale-out struggle is real. Real hard, to be precise.

At Clustrix, we know this firsthand. Our founders struggled with scaling MySQL for so long, they built a drop-in replacement from the ground up that delivers the MySQL experience for true distributed, cloud-native applications. While we think ClustrixDB is the coolest thing since containers hit the cloud, it’s not for everyone. That’s why we developed this webinar series to help you navigate how to scale MySQL, and when to really consider replacing it.

In this four part MySQL performance webinar series, our experts will walk you through strategies to diagnose when you need to take drastic measures to scale your MySQL database—like sharding—while making sure your data is safe and highly available.

Check out the installments and register now:

April 18th

How do you know you're hitting capacity in MySQL?

May 2nd

Why is sharding not smart to do in MySQL?

May 16th

Is your CFO right to demand you scale down MySQL?

June 1st

How do you achieve high availability for MySQL?

About the Presenter

Dave Anselmi is Director of Product Management at Clustrix and brings over 18 years of product management, integration, and project management experience in database technology and e-commerce.

He’s very excited to be at the forefront of pushing the limits of linear scale-out ACID-compliant relational database technology with our clustered database, ClustrixDB.