André Batista

[Brandur @brandur]

Speaking of rewrites, 100% passing tests is impressive.

Who knows where this will go, but it'd be ironic if it gained traction due to PG's stubborn refusal to adopt modernisms like threads, or build in features everybody wants like connection pooling.

https://t.co/edmgUK9KcQ

[Ben Dicken @BenjDicken]

Postgres 19 comes with nice improvements for io control.

Pg 18 introduced three modes: io_uring, worker, and sync (17's behavior).

I loved the performance (and control) that io_method=worker brought to pg. With this, you'd also set io_workers=X which set the number of bg workers dedicated to IO. (17 vs 18 benchmarks pictured below).

19 expands on this, allowing the pool to dynamically grow via four knobs:

io_min_workers: min io worker pool size
io_max_workers: max pool size
io_worker_idle_timeout: scale-down rate
io_worker_launch_interval: scale-up rate

In a sense, this now behaves more like a "io connection pool" then a simple, static configuration.

I like this direction. Excited to benchmark... soon?

[Chris Short @ChrisShort]

A Practical Guide to SSH Tunnels: Local and Remote Port Forwarding | iximiuz Labs #devopsish https://t.co/9xZBD01jNV

[Vivek Galatage @vivekgalatage]

Great companion read

https://t.co/t7i9B2OdSd

[ErikEJ @ErikEJ]

.NET Data Community Standup is live!

https://t.co/M2jZTt3tEE

[ErikEJ @ErikEJ]

Microsoft .Data.SqlClient version 7.0.2 with a couple of minor bug fixes and version alignment has just been released. Browse the release notes here:

https://t.co/6vgYC7zV3T

[･ Ice ･  Ⅹ ･ @IceXTruths]

O HOMEM QUE QUER REPROGRAMAR O FUTURO

Enquanto políticos discutem a próxima eleição, Dario Amodei discute o próximo século.

O CEO da Anthropic não fala como um executivo comum. Fala como alguém convencido de que a inteligência artificial está prestes a remodelar empregos, economia, ciência, guerra e até a própria condição humana.

A entrevista revela algo inquietante: os criadores da IA não estão mais discutindo se ela mudará o mundo. Eles já tratam isso como fato consumado. A única dúvida é a velocidade da transformação.

Amodei prevê explosão de produtividade, cura de doenças, avanços científicos sem precedentes e uma economia turbinada pela inteligência artificial. Mas, no mesmo fôlego, alerta para desemprego em massa, concentração de poder e riscos geopolíticos gigantescos.

O mais curioso é que os arquitetos dessa nova era parecem viver entre dois sentimentos: euforia e medo. Construindo uma tecnologia que pode resolver problemas históricos da humanidade enquanto tentam impedir que ela saia do controle.

No Vale do Silício, a corrida já não é por aplicativos. É pela inteligência. E quem vencer não estará apenas criando uma empresa bilionária.

Estará ajudando a definir quem terá o poder de escrever as regras do século XXI.

00:00:00 Inside Anthropic
00:03:34 Histórico de Dario
00:05:51 Saída da OpenAI
00:07:42 Cúpula de IA da Índia
00:10:45 Aposta empresarial
00:17:22: Financiamento das grandes empresas de tecnologia
00:19:29 Escassez de poder computacional
00:21:15 Ultrapassando a OpenAI
00:24:07 Velocidade de desenvolvimento de produtos
00:24:52 Descobertas em IA
00:26:13 O estilo de escrita de Dario
00:28:10 IA e a força de trabalho
00:36:41 Impasse no Pentágono
00:43:29 Guerra de IA
00:48:18 Mythos
00:55:15 Nacionalizando a IA
00:58:57 Visita à Casa Branca
00:59:47 China
01:03:24 Auto aperfeiçoamento recursivo
01:05:07 O livro favorito de Dario
01:05:49 Colapso da civilização
01:07:32 Confiança

[Noriyoshi Shinoda @nori_shinoda]

PostgreSQL 19 Beta 1 New Features with Examples (English Version)
https://t.co/Yx5bU3sT9s

[Nik Samokhvalov @samokhvalov]

PgQue got a website with docs – https://t.co/1C0aByTGA0

[Nik Samokhvalov @samokhvalov]

PgQue v0.2.0:

🐍 Python, 🟦 TypeScript, 🐹 Go clients
⚡️ send_batch() performance optimized
👥 subconsumers to scale consumption near-linearly
⏱️ sub-second ticking and 10 ticks/sec by default (incl. with pg_cron)
🧩 pg_cron, pg_timetable, pg_tle paths

PgQue is a highly-efficient, zero-bloat Postgres queue built on top of on battle-proven Skype's PgQ. One SQL file to install, pg_cron to tick. Works in any Postgres.

[ErikEJ @ErikEJ]

SqlServer.Rules v5.0.0 is now available!

SqlServer.Rules is an open-source static code analysis library and toolset for SQL Server database projects, command line, and Visual Studio, that helps teams catch design flaws, naming inconsistencies, performance anti-patterns, and risky T-SQL constructs early — during development and build time instead of in production.

The value is straightforward: it shifts SQL quality checks left, gives fast and repeatable feedback in CI/CD and local workflows, and helps improve reliability, maintainability, and performance of database code with clear, actionable rule-based guidance.

This major release expands rule coverage significantly and continues consolidation around the SqlServer.Rules codebase and tooling.

https://t.co/sFIwPlMVud

[Chris Short @ChrisShort]

pgBackRest will continue #devopsish https://t.co/H3obePvOVY

[André Batista @klunkySQL]

@Pirat_Nation I think https://t.co/fxjtkeSomQ have exactly the same problem, anyone else having issues ?

[Ivan Velichko @iximiuz]

If you're new to Kubernetes, a Pod may look like a tiny VM:

- One IP address
- One hostname
- One or more containers running side by side

Then you notice Pod's containers can talk to each other over localhost and share IPC means (named pipes, shared memory, etc.). And yet they still have isolated filesystems and process trees.

So what is a Pod, really?

I took a deeper look by inspecting namespaces, cgroups, the pause container, the Kubernetes CRI internals, and then tried to recreate a Pod using plain Docker commands.

Turns out, a Pod is not a set of disjoint containers running on the same cluster node (server). It's a "semi-fused group" of containers with:

- Shared net/uts/ipc namespaces
- Separate mount/pid/cgroup namespaces (by default)
- A special "pause" container holding this group together
- Per-container resource limits under a common Pod-level cgroup parent

And potentially the most interesting part - you can get surprisingly close to building a Pod-like construct with "docker run" alone.

Deep dive + hands-on playground: https://t.co/C6p8jyJCNR

[Creston Jamison @CrestonJamison]

Scaling Postgres 414 is released! In this episode, we discuss repack concurrently coming to PG 19, how to design your schema, all about hints and enforcing constraints across partitions: https://t.co/LylK5CKzsr #Postgres #PostgreSQL

[60 Minutes @60Minutes]

60 Minutes visits a high-stakes pigeon race in Portugal, where thousands of birds compete for a share of a $1.2 million purse. https://t.co/G9ZHOO9vgV

[pgBackRest @pgBackRest]

TL;DR: pgBackRest is no longer being maintained. For details see https://t.co/w9xHam9Ava

[André Batista @klunkySQL]

@Rosebud_AI Interested !

[André Batista @klunkySQL]

@eusouomatt Gostaria de participar

[CyrilXBT @cyrilXBT]

Everyone is worried AI will take their job.

Microsoft just posted the exact 3 step path to become the person companies hire to build with AI instead.

3.6 million people saw this tweet.

Almost none of them will actually do it.

That is your entire competitive advantage right there.