Matt Lord (@mattalord) 's Twitter Profile
Matt Lord

@mattalord

Principal Engineer @Istari_Digital. Vitess Maintainer. Formerly @PlanetScale, @Etsy, @WeWork, @MongoDB, @Oracle, @MySQL • Curious, Passionate, Problem Solver

ID: 578300701

linkhttps://www.istaridigital.com calendar_today12-05-2012 18:42:27

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Vitess (@vitessio) 's Twitter Profile Photo

v18.0.0-rc1 is now available! We will be releasing v18.0.0 GA on November 6th. You are welcome to try out this new RC and give us feedback! We have also released three patches (v17.0.3, v16.0.5, v15.0.5). github.com/vitessio/vites…

Deepthi Sigireddi (@atechgirl) 's Twitter Profile Photo

Next week at Kubecon_, join me and Matt Lord to learn about Vitess. We'll give an intro, talk about features and scalability, and demo how to migrate into Vitess. Bonus: sneak peak at the brand new Foreign Key support.

Next week at <a href="/KubeCon_/">Kubecon_</a>, join me and <a href="/mattalord/">Matt Lord</a> to learn about <a href="/vitessio/">Vitess</a>. We'll give an intro, talk about features and scalability, and demo how to migrate into Vitess. Bonus: sneak peak at the brand new Foreign Key support.
Vitess (@vitessio) 's Twitter Profile Photo

Vitess 18.0.0 is now GA! 🎉 You can read our announcement blog post to learn more about what we have released. vitess.io/blog/2023-11-0…

PlanetScale (@planetscale) 's Twitter Profile Photo

We had to overcome challenges in almost every single layer of the product: MySQL limitations, Online DDL, branching, and schema analysis logic. Learn how we overcame them: planetscale.com/blog/challenge…

GitHub (@github) 's Twitter Profile Photo

Upgrading our fleet of 1200+ servers to MySQL 8.0 was no small feat. Find out how we planned and orchestrated the upgrade, the challenges we ran into, and the learnings from our journey. github.blog/2023-12-07-upg…

Vitess (@vitessio) 's Twitter Profile Photo

This blog post from Shopify is a perfect example of a successful migration to Vitess. The team was able to migrate billions of rows to Vitess while removing the burden of schema migrations and capacity issues. "We are very happy with how Vitess has impacted our system."

PlanetScale (@planetscale) 's Twitter Profile Photo

🎉 Introducing schema recommendations You will now automatically receive recommendations to improve database performance, reduce memory and storage, and improve your schema based on production traffic.

Vitess (@vitessio) 's Twitter Profile Photo

KubeCon EU is right around the corner! Our maintainers FlorentP and Deepthi Sigireddi will speak on the maintainer track with Kazimieras Aliulis from Vinted Engineering. Join us on this talk to learn more about Vitess and its adoption at Vinted. We are excited to see you at Kubecon_!

KubeCon EU is right around the corner!

Our maintainers <a href="/fouioui/">FlorentP</a> and <a href="/ATechGirl/">Deepthi Sigireddi</a> will speak on the maintainer track with Kazimieras Aliulis from <a href="/VintedEng/">Vinted Engineering</a>. 

Join us on this talk to learn more about Vitess and its adoption at <a href="/vinted/">Vinted</a>. 

We are excited to see you at <a href="/KubeCon_/">Kubecon_</a>!
Holly Guevara (@hollylawly) 's Twitter Profile Photo

Ahhh my first video is liveeee! 🙈 I give a demo of how schema changes can lock up your database, how online schema change tools work, and how you can make schema changes without any locking or downtime. youtube.com/watch?v=GfKZEd…

Vitess (@vitessio) 's Twitter Profile Photo

📢 We have just released Vitess v20.0.0 GA, along with our Kubernetes Operator v2.13.0 !! Go check out our announcement blog post to learn more: vitess.io/blog/2024-06-2…

Sam Lambert (@isamlambert) 's Twitter Profile Photo

Try an ACID-compliant vector database that has a real on-disk index (SPANN), proper SQL semantics (WHERE, JOIN, subqueries), and both pre- and post-filtering. We’ve taught MySQL to automatically choose the best index for queries like this, whether it’s a vector index or a

Try an ACID-compliant vector database that has a real on-disk index (SPANN), proper SQL semantics (WHERE, JOIN, subqueries), and both pre- and post-filtering. 

We’ve taught MySQL to automatically choose the best index for queries like this, whether it’s a vector index or a
Ryan Sherlock (@ryan_sherlock) 's Twitter Profile Photo

At @Intercom, we’re always innovating and building for our future scale. In what’s one of the most interesting projects I’ve worked on, discover how we’re future proofing our database layer with Vitess and PlanetScale: intercom.com/blog/evolving-…

PlanetScale (@planetscale) 's Twitter Profile Photo

The PlanetScale vector search and storage open beta is live! You can now store your vector data alongside your application's relational MySQL data — eliminating the need for a separate specialized vector database. planetscale.com/blog/announcin…

Vicent Martí (@vmg) 's Twitter Profile Photo

I'm stoked to showcase our implementation of vector search for PlanetScale. This is not a HNSW plug-in for MySQL (like pgvector, etc), it's a full fledged index managed by InnoDB that scales into terabytes of vector data. planetscale.com/blog/announcin…

PlanetScale (@planetscale) 's Twitter Profile Photo

⚡ Introducing PlanetScale Metal ⚡ - Blazing fast NVMe drives - Unlimited IOPS - Drastic reductions in latency - And best price:performance ratio of any database available in AWS or GCP

PlanetScale (@planetscale) 's Twitter Profile Photo

PlanetScale vectors is now GA! We have made vectors a first-class part of MySQL - focusing on robustness to make sure vector support is as solid as every other data type MySQL supports. pscale.link/vectors