Загрузка видео...

Не удалось загрузить видео

На главную

Postgres databases now come with LLM-powered index recommendations. Indexes are crucial for database performance, and these recommendations help ensure your queries are executing optimally.

PlanetScale's profile picture

PlanetScale

34,036 subscribers

38,328 просмотров • 6 месяцев назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

🎉 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.
0:29

🎉 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.

PlanetScale

215,496 просмотров • 2 лет назад

🚀 Introducing Insights Anomalies Debugging a slow database can be difficult. With Anomalies, we tell you when your database is running slower than expected and show you exactly which queries are to blame. Now available on all plans:
0:23

🚀 Introducing Insights Anomalies Debugging a slow database can be difficult. With Anomalies, we tell you when your database is running slower than expected and show you exactly which queries are to blame. Now available on all plans:

PlanetScale

36,482 просмотров • 2 лет назад

Sharding is the best way to scale a database. But how does it work? And what's the best way to ensure data and queries are evenly distributed? Our interactive article on database sharding teaches you how.
0:25

Sharding is the best way to scale a database. But how does it work? And what's the best way to ensure data and queries are evenly distributed? Our interactive article on database sharding teaches you how.

PlanetScale

28,639 просмотров • 2 месяцев назад

Today we're launching the PlanetScale hosted MCP server. Use your favorite AI agent to explore your data, identify slow queries, and improve database performance.
5:55

Today we're launching the PlanetScale hosted MCP server. Use your favorite AI agent to explore your data, identify slow queries, and improve database performance.

PlanetScale

29,370 просмотров • 4 месяцев назад

Introducing pg_strict for Postgres. Our new extension adds a safety net to Postgres, catching dangerous queries before they run.
3:38

Introducing pg_strict for Postgres. Our new extension adds a safety net to Postgres, catching dangerous queries before they run.

PlanetScale

114,704 просмотров • 5 месяцев назад

Introducing Database Traffic Control: a Postgres traffic management system built into PlanetScale. Enforce flexible budgets on your database traffic to protect against unexpected and dangerous workloads.
3:30

Introducing Database Traffic Control: a Postgres traffic management system built into PlanetScale. Enforce flexible budgets on your database traffic to protect against unexpected and dangerous workloads.

PlanetScale

160,932 просмотров • 2 месяцев назад

All Create apps now ship with a built-in Postgres database (powered by Neon Postgres) • zero setup. just chat about your app • migrations and queries, added automagically • edit data like a spreadsheet in our viewer • 1 GB free storage Build full stack apps that scale big
0:23

All Create apps now ship with a built-in Postgres database (powered by Neon Postgres) • zero setup. just chat about your app • migrations and queries, added automagically • edit data like a spreadsheet in our viewer • 1 GB free storage Build full stack apps that scale big

Anything

70,027 просмотров • 1 год назад

We're excited to share we're partnering with Stripe as part of their Stripe Projects developer preview. Create and manage PlanetScale Postgres and Vitess databases straight from the Stripe CLI. All of your dev tool provisioning and billing now centralized in one place.
3:08

We're excited to share we're partnering with Stripe as part of their Stripe Projects developer preview. Create and manage PlanetScale Postgres and Vitess databases straight from the Stripe CLI. All of your dev tool provisioning and billing now centralized in one place.

PlanetScale

41,205 просмотров • 2 месяцев назад

Postgres: process-per-connection MySQL: thread-per-connection Learn more about processes, threads, connection pooling, and how they impact database performance in our latest interactive article.
0:34

Postgres: process-per-connection MySQL: thread-per-connection Learn more about processes, threads, connection pooling, and how they impact database performance in our latest interactive article.

PlanetScale

349,333 просмотров • 8 месяцев назад

Multigres is the future of Supabase, scaling your database indefinitely. I spent a few days with the Multigres team. They have scaled some of the world’s largest databases. Now they are doing it for the postgres ecosystem. See how:
1:00:13

Multigres is the future of Supabase, scaling your database indefinitely. I spent a few days with the Multigres team. They have scaled some of the world’s largest databases. Now they are doing it for the postgres ecosystem. See how:

Paul Copplestone - e/postgres

21,006 просмотров • 8 месяцев назад

Improve your visuals with these effect recommendations
0:24

Improve your visuals with these effect recommendations

After Effects Tricks!

26,701 просмотров • 3 месяцев назад

The largest government spending database at your fingertips, powered by Grok Export sessions to .md/csv with one click and cross reference with your own LLM. We are building the dam
0:22

The largest government spending database at your fingertips, powered by Grok Export sessions to .md/csv with one click and cross reference with your own LLM. We are building the dam

Beaver 🦁

25,266 просмотров • 4 месяцев назад

How Postgres 17 improves IN queries In prior releases, postgres would loop and do multiple "primitive" index scans as many as your IN elements. In Postgres 17 it takes an array and eliminates the need for multiple scans. This only applies for constant values
3:39

How Postgres 17 improves IN queries In prior releases, postgres would loop and do multiple "primitive" index scans as many as your IN elements. In Postgres 17 it takes an array and eliminates the need for multiple scans. This only applies for constant values

Hussein Nasser

143,151 просмотров • 1 год назад

All types of databases, Redis, Postgres, Clickhouse, Mysql etc. now display important stats and metrics aswell as most run queries in the Maple service map
0:22

All types of databases, Redis, Postgres, Clickhouse, Mysql etc. now display important stats and metrics aswell as most run queries in the Maple service map

Makisuo

242,638 просмотров • 13 дней назад

Whop is building the #1 global creator marketplace. Jack Sharkey, Whop co-founder and CTO, covers how they migrated their 800GB Postgres database to PlanetScale with no downtime and no interruption to site traffic.
2:51

Whop is building the #1 global creator marketplace. Jack Sharkey, Whop co-founder and CTO, covers how they migrated their 800GB Postgres database to PlanetScale with no downtime and no interruption to site traffic.

PlanetScale

19,313 просмотров • 1 год назад

Mike Stonebraker is a Turing award winner famous for his fundamental contributions to databases (e.g. Postgres, C-Store and much more). I interviewed him recently about: • The story behind Postgres & the hardest technical challenge in building it • Where he disagreed with Google's technical decisions • Future problems in databases • Literature recommendations to learn databases • Why LLMs score 0% on his text-SQL benchmark • What if you replaced all state in an OS with a DB Timestamps: 0:00 - Intro 1:03 - How he got into databases 6:43 - Competing with Oracle 9:07 - What made Postgres special 15:55 - One size fits none 21:37 - Why he disagreed with Google 29:14 - Why he chose academia over big tech 30:58 - Replacing state in an OS with a DB 42:02 - Future problems in databases 51:36 - Technical book recommendations to learn databases 52:20 - Advice for younger self 55:52 - Outro Where to watch: • YouTube: • Spotify: • Apple Podcasts: • Transcript:
56:50

Mike Stonebraker is a Turing award winner famous for his fundamental contributions to databases (e.g. Postgres, C-Store and much more). I interviewed him recently about: • The story behind Postgres & the hardest technical challenge in building it • Where he disagreed with Google's technical decisions • Future problems in databases • Literature recommendations to learn databases • Why LLMs score 0% on his text-SQL benchmark • What if you replaced all state in an OS with a DB Timestamps: 0:00 - Intro 1:03 - How he got into databases 6:43 - Competing with Oracle 9:07 - What made Postgres special 15:55 - One size fits none 21:37 - Why he disagreed with Google 29:14 - Why he chose academia over big tech 30:58 - Replacing state in an OS with a DB 42:02 - Future problems in databases 51:36 - Technical book recommendations to learn databases 52:20 - Advice for younger self 55:52 - Outro Where to watch: • YouTube: • Spotify: • Apple Podcasts: • Transcript:

Ryan Peterman

109,372 просмотров • 1 месяц назад

Analytics queries running slow? PlanetScale now supports pg_duckdb and integrates with the MotherDuck cloud, making your OLAP workloads lightning-fast.
4:58

Analytics queries running slow? PlanetScale now supports pg_duckdb and integrates with the MotherDuck cloud, making your OLAP workloads lightning-fast.

PlanetScale

29,658 просмотров • 6 месяцев назад

Finish off your full-stack apps in v0 with a database. For example, if you are building a financial dashboard, you can now persist transaction data in Neon - Serverless Postgres.
0:38

Finish off your full-stack apps in v0 with a database. For example, if you are building a financial dashboard, you can now persist transaction data in Neon - Serverless Postgres.

v0

34,320 просмотров • 1 год назад

At scale, you can only put off sharding for so long. YouTube scaled MySQL with Vitess, and now we're building the same for Postgres.
1:29

At scale, you can only put off sharding for so long. YouTube scaled MySQL with Vitess, and now we're building the same for Postgres.

PlanetScale

54,747 просмотров • 22 дней назад

Recommendations are always on point … 🚙
0:30

Recommendations are always on point … 🚙

Sunderdeep - Volklub

83,932 просмотров • 6 месяцев назад