Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

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

2,025 subscribers

243,406 görüntüleme • 23 gün önce •via X (Twitter)

Bilim & Teknoloji Finans

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Maple's service map automatically shows Databases your services are calling, with integrations for providers like Planetscale, Tinybird and Clickhouse coming soon to show more details about the specific Database

Maple's service map automatically shows Databases your services are calling, with integrations for providers like Planetscale, Tinybird and Clickhouse coming soon to show more details about the specific Database

Makisuo

89,079 görüntüleme • 1 ay önce

sqlit is a lazygit style SQL TUI for the terminal. It supports 10+ databases (Postgres, SQLite, Supabase, ClickHouse, DuckDB, etc), has query history, autocomplete and more. Peter Adams (Maxteabag on GitHub) made sqlit using textualize.io and is Terminal Tool of the Week! ⭐️

sqlit is a lazygit style SQL TUI for the terminal. It supports 10+ databases (Postgres, SQLite, Supabase, ClickHouse, DuckDB, etc), has query history, autocomplete and more. Peter Adams (Maxteabag on GitHub) made sqlit using textualize.io and is Terminal Tool of the Week! ⭐️

Terminal Trove

137,289 görüntüleme • 6 ay önce

MySQL vs Postgres: storage engine addition. Clustered indexes (MySQL) and heap tables (Postgres) each have unique advantages. Covered the differences and practical implications in the latest stream.

MySQL vs Postgres: storage engine addition. Clustered indexes (MySQL) and heap tables (Postgres) each have unique advantages. Covered the differences and practical implications in the latest stream.

Ben Dicken

19,991 görüntüleme • 1 ay önce

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.

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

38,328 görüntüleme • 7 ay önce

DBngin is such a good little app for managing database local DB servers. Highly recommended if your app needs a MySQL, Postgres or Redis DB

DBngin is such a good little app for managing database local DB servers. Highly recommended if your app needs a MySQL, Postgres or Redis DB

Wes Bos

85,389 görüntüleme • 1 yıl önce

Use Neon and ClickHouse to get the best of both worlds: the flexibility of Postgres for transactions + the performance of ClickHouse for analytics With PeerDB, data streaming is simple 👇

Use Neon and ClickHouse to get the best of both worlds: the flexibility of Postgres for transactions + the performance of ClickHouse for analytics With PeerDB, data streaming is simple 👇

Neon Postgres

11,422 görüntüleme • 1 yıl önce

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.

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

41,232 görüntüleme • 3 ay önce

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

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 görüntüleme • 1 yıl önce

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

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

PlanetScale

114,704 görüntüleme • 5 ay önce

HUGE news for developers. Supabase just launched the ChatGPT of databases. An AI-based Postgres service. You can build and launch databases, create charts, embeddings, see visuals of your DB, generate sample data, and more. And.. it's 100% open source.

HUGE news for developers. Supabase just launched the ChatGPT of databases. An AI-based Postgres service. You can build and launch databases, create charts, embeddings, see visuals of your DB, generate sample data, and more. And.. it's 100% open source.

Lior Alexander

141,118 görüntüleme • 1 yıl önce

Maple now automatically links your Infra components in Kubernetes with your actual services

Maple now automatically links your Infra components in Kubernetes with your actual services

Makisuo

112,659 görüntüleme • 1 ay önce

Just Use Postgres feat. Denis Magda Denis literally just published a book called “Just Use Postgres”. In this conversation, that turned out to be super fun, we talked about: • what MySQL got wrong w.r.t community • the recent explosion of Postgres development in the world (Supabase, Neon, Crunchy, ClickHouse) • when Postgres instead of Kafka • the significance of the meme “just use postgres” • Postgres for data analytics Chapters (00:00) Intro (04:26) The Just Use Postgres Movement (08:36) The Small Data Trend and Its Implications (15:49) The Shift from Distributed Systems to Simplicity (17:15) Updating your priors re: PG capabilities (20:28) MySQL's OSS community split & our experiences with such things (39:48) Postgres for Analytics (55:49) PG in the lake house (59:27) AI Marketing Slop (01:02:19) How you'd build a brand new app on Postgres (01:05:24) Speedrun through PG extensions (01:11:56) PG as a Message Queue

Stanislav Kozlovski

13,036 görüntüleme • 5 ay önce

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.

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

54,848 görüntüleme • 1 ay önce

Deno Deploy has databases done right. Instant serverless Postgres databases. BYO, or get one from our friends at Prisma Postgres. Watch the full demo 👉

Deno Deploy has databases done right. Instant serverless Postgres databases. BYO, or get one from our friends at Prisma Postgres. Watch the full demo 👉

Deno

21,837 görüntüleme • 4 ay önce

I’m building an iOS app called Schema, a way to access databases when you’re away from your desk. Schema works with Postgres and MySQL. Here’s a teaser, and I’ll share some of the more clever UI over the coming weeks. I’m growing the size of the TestFlight. Reach out if you’d like access.

I’m building an iOS app called Schema, a way to access databases when you’re away from your desk. Schema works with Postgres and MySQL. Here’s a teaser, and I’ll share some of the more clever UI over the coming weeks. I’m growing the size of the TestFlight. Reach out if you’d like access.

Allan

60,143 görüntüleme • 1 yıl önce

Are processes or threads better for handling connections? Postgres and MySQL make the perfect case-study for this tradeoff.

Are processes or threads better for handling connections? Postgres and MySQL make the perfect case-study for this tradeoff.

Ben Dicken

14,256 görüntüleme • 1 ay önce

We’re launching a new Supabase service: It’s like if ChatGPT and Postgres had a love-child: launch as many databases as you want, build them with AI, create charts, create embeddings. 100% open source.

We’re launching a new Supabase service: It’s like if ChatGPT and Postgres had a love-child: launch as many databases as you want, build them with AI, create charts, create embeddings. 100% open source.

Paul Copplestone - e/postgres

314,667 görüntüleme • 1 yıl önce

You're probably sick of me saying "B-tree" but these impact SO MUCH of database performance. They're used all over the place in Postgres, MySQL, and SQLite. This week I broke down B-tree lookups and how the page cache makes lookups faster.

You're probably sick of me saying "B-tree" but these impact SO MUCH of database performance. They're used all over the place in Postgres, MySQL, and SQLite. This week I broke down B-tree lookups and how the page cache makes lookups faster.

Ben Dicken

186,867 görüntüleme • 5 ay önce

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

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

70,031 görüntüleme • 1 yıl önce

Databases are far from dead. Hot take within the vibe-coding community, but you can't build a reliable agentic memory system using files alone. The filesystem is a great interface for agents, but for complex, distributed, production applications, databases win hands down. I recorded a video to show you the benchmarks. Large Language Models know how to navigate and work with the filesystem, but as soon as you add complexity, files will fall short. You need databases whenever any of the following happens: 1. You have concurrent writes from multiple agents or users 2. You need semantic retrieval at scale 3. You need ACID guarantees for shared state 4. You need audit trails and row-level access control 5. You need indexed queries over growing memory In the attached video, I'm running a notebook comparing a filesystem-backed agent with a database-backed agent. The three most important findings: • Filesystem = Database with small corpus, keyword-friendly queries • Databases > Filesystem with large corpus, fuzzy queries • Databases > Filesystem with concurrent writes without locking Numbers don't lie. You can run the benchmarks yourself.

Databases are far from dead. Hot take within the vibe-coding community, but you can't build a reliable agentic memory system using files alone. The filesystem is a great interface for agents, but for complex, distributed, production applications, databases win hands down. I recorded a video to show you the benchmarks. Large Language Models know how to navigate and work with the filesystem, but as soon as you add complexity, files will fall short. You need databases whenever any of the following happens: 1. You have concurrent writes from multiple agents or users 2. You need semantic retrieval at scale 3. You need ACID guarantees for shared state 4. You need audit trails and row-level access control 5. You need indexed queries over growing memory In the attached video, I'm running a notebook comparing a filesystem-backed agent with a database-backed agent. The three most important findings: • Filesystem = Database with small corpus, keyword-friendly queries • Databases > Filesystem with large corpus, fuzzy queries • Databases > Filesystem with concurrent writes without locking Numbers don't lie. You can run the benchmarks yourself.

Santiago

29,256 görüntüleme • 1 ay önce