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  <div class="vevent h-event"> <h1 class="summary p-name">PDXPUG: Sharding large MySQL databases with Vitess</h1> <div class='date'><time class="dtstart dt-start" title="2019-09-19T18:00:00" datetime="2019-09-19T18:00:00">Thursday, September 19, 2019 from 6</time>–<time class="dtend dt-end" title="2019-09-19T20:00:00" datetime="2019-09-19T20:00:00">8pm</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202390009'><span class='fn org p-name'>PSU Business Accelerator</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">2828 SW Corbett Ave</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">OR</span> <span class="postal-code p-postal-code">97201</span> <div class="country-name p-country-name">US</div> (<a href='https://maps.google.com/maps?q=2828%20SW%20Corbett%20Ave,%20Portland%20OR%2097201%20US'>map</a>) </div> </div> <div class="description p-description"> <p>This month I am going to be talking about my current work on sharding large mysql databases with Vitess. My team has been on a journey towards splitting our largest mysql databases and I want to share my experiences and lessons learned. We are going to look at the problems and possible solutions to scaling reads and writes in relational databases.</p> <p>Vitess is an open source project born at youtube to scale their largest and most critical databases. It has been adopted in as a Cloud Native Compute Foundation incubator project. With PostgreSQL on the medium-term road map, let’s take a look at what we have been able to do with mysql.</p> <p>Hi its me Grant. I work on the database engineering team at New Relic. I’ve been using Postgres in production since 9.2. I co-organize the Postgres user group in Portland with Mark Wong.</p> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="https://pdx.postgresql.us">Website</a></li> </ul> </div>