18:19

How do you avoid cross-shard queries?

20:50

Tutorial: Horizontal sharding with PlanetScale

07:01

What's new in Vitess 21?

18:49

Using vector search in MySQL

13:07

What are vector embeddings? PlanetScale vector search open beta.

15:14

How we do PoCs with customers (Proof of Concept)

12:50

Are my indexes being used? Let's find out.

16:43

Take a walk through the PlanetScale dashboard

07:49

Megabytes to Petabytes: the journey of scaling a database

05:19

Case Study: Interview with Brian Anglin (Superwall)

15:04

Use Slack? Get PlanetScale updates with webhooks.

28:33

Vitess at Demonware

04:36

Case Study: Interview with Steven Tey (Dub)

18:11

How HubSpot Achieves MySQL High Availability with Vitess

03:53

What's new in Vitess 20?

26:58

Sharding strategies: lookup-based, range-based, and hash-based

08:33

Learn Vitess - Vitess at PlanetScale (part 9)

06:35

Learn Vitess - Vitess on Kubernetes (part 8)

16:57

Learn Vitess - Sharding on Multiple Machines (part 7)

15:31

Learn Vitess - Multiple Machines (part 6)

11:34

Learn Vitess - Horizontal Sharding (part 5)

12:02

Learn Vitess - Vertical Sharding (part 4)

12:22

Learn Vitess - Components of a Vitess Cluster (part 3)

14:35

Learn Vitess - Build and Run Vitess (part 2)

09:14

Learn Vitess - Introduction (part 1)

13:23

Working with Strings in MySQL (four functions)

30:13

How do online schema change tools work?

08:37

Slow database? Replicas are here to help.

09:24

Speed up your MySQL database with the buffer pool

09:20

How Vitess powers your PlanetScale database

08:19

Bad Schema? Improve it with this tool.

10:29

Creating a 100 gigabyte index on 1 billion+ rows

09:48

Watch me 100x a SQL query

15:15

Increase speed and durability with MySQL replication (2 easy ways)

24:01

Write a Figma plugin that connects to MySQL

18:27

I loaded 100,000,000 rows into MySQL (fast)

20:35

Working with time series data in MySQL

04:43

Database Sharding in 200 Seconds

07:22

Two new MySQL expressions

17:32

RAND is too slow (in MySQL)

13:39

Faster than a regular database index

11:03

How I add millions of rows to MySQL (for performance testing)

15:42

Many to many relationships in MySQL

08:16

You don't always need JOINs

09:36

Saving a SaaS on the weekend

14:10

Storing feature flags as JSON (with indexing)

16:17

Store 8 feature flags in 1 integer (Bitwise operations in MySQL)

31:26

You don't need NoSQL (use MySQL)

36:03

Easy database indexing strategies

08:17

Using MySQL to stop freeloaders (in only 8 minutes)

09:27

I love my database GUI

08:34

Your database will break in 2038 (or sooner)

05:52

Database enums are weird

05:12

INT(11) is a lie

13:28

Faster database indexes (straight from the docs)

18:54

Database Branching Deep Dive

13:46

Faster geospatial queries in MySQL

13:20

Pagination in MySQL - offset vs. cursor

07:01

Stop using COUNT(id) to count rows

04:42

Automate schema changes with PlanetScale and GitHub Actions