Kubernetes: Leave No Data Behind

Transactional microservices with Vitess

Running software at scale comes with its own challenges. Deepthi Sigireddi, Software Engineer at PlanetScale explained what database scaling consists of. We talked about different types of databases, horizontal and vertical scaling, and how to reason about what to choose. Deepthi also talked about her experience working across companies of different sizes.

Learn best practices on how to run production databases in #Kubernetes in the cloud provider of your choice.

A high level overview of all the Vitess features, the architecture, and what database workloads are a good fit. We will then walk through a demo of live-migrating an existing MySQL installation into Vitess.

This talk will describe using Network Service Mesh to create a private L3 network between Kubernetes clusters in different cloud providers to seamlessly deploy multiple Vitess cells across them.

In this talk the speakers will show how to build a custom sharding scheme in Vitess that respects data locality requirements. They will then demonstrate a database cluster built using this scheme that enables transfer of existing data belonging to people from 8 different countries from one jurisdiction to four(4) separate jurisdictions with zero downtime at the application level.

A demo of the new Vitess-native Orchestrator

Vitess the Distributed Database Behind YouTube

Voices in Data Storage – Episode 33 with Jiten Vaidya and Sugu Sougoumarane

Multicloud MySQL with Jiten Vaidya and Anthony Yeh

Percona PlanetScale Webinar

Keeping Your Data in Kubernetes with Vitess

Migrating 20 TB from AKS to GKE in an Hour with Vitess (from Nozzle)

A Journey into Slack's Database Service

How a Kubernetes Operator Can Make Relational Databases Safer

Building a Database as a Service on Kubernetes

Vitess: Stateless Storage in the Cloud

KubeCon NA 2018