Name: How Bolt Serves 100M Global Customers with Distributed SQL
Start: 2025-11-27T11:00:00+01:00
End: 2025-11-27T12:00:00+01:00

Recently valued at $8.4 billion, Bolt has experienced 400% growth since the pandemic, making it the fastest growing company in Europe. However, as its business rapidly expanded, its fleet of MySQL databases became difficult to scale, operate, and maintain.

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In this on-demand webinar, **Leandro Morgado, Senior Database Reliability Engineer at Bolt**, recounts the company’s journey from legacy MySQL to distributed SQL. He shares in-depth insights from the trenches that showcase Bolt’s process for finding a viable solution.

Key topics include:

* Why Bolt shifted to a microservices architecture, and how this impacted their MySQL data infrastructure
* How the company evaluated potential MySQL alternatives
* Why Bolt chose TiDB, an open source distributed SQL database, to replace MySQL over other solutions
* How TiDB gives the company’s engineering team the confidence to scale effectively and serve 100 million global customers

**[REGISTER HERE: https://bit.ly/43jg72m](https://bit.ly/43jg72m)**

Real Time Data at Scale Warsaw

Data At Scale

Technology

Open Source

MySQL

Database Professionals

Software Development

Programming Languages

Big Data

Database Development

Functional Programming

Data Analytics

Data Visualization

Computer Programming

NoSQL

Anna Lee

Mikiyas Eshetu

Wojtek Gawroński

Oleksii Chernovolod

Ewa Wolańska

Abraham

Andrzej Gilewski

Leandro Morgado is a Senior Database Reliability Engineer at Bolt, where he ensures the availability, performance, and security of the company’s MySQL and TiDB databases. He is a seasoned “Unixy” engineer with over 15 years of experience in the MySQL ecosystem. Throughout his career, Leandro has held diverse roles in web hosting, MySQL support, and database consulting. He has previously worked at organisations such as Rackspace, Sun Microsystems/Oracle, and Pythian.

Real Time Data at Scale Warsaw

How Bolt Serves 100M Global Customers with Distributed SQL

Real Time Data at Scale Warsaw

Details

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