Загрузка видео...

Не удалось загрузить видео

На главную

768 Postgres servers. A petabyte of data. One connection string.

109,706 просмотров • 3 месяцев назад •via X (Twitter)

Комментарии: 15

Фото профиля PlanetScale
PlanetScale3 месяцев назад

Read all about it on our blog:

Фото профиля Pranav Bobde
Pranav Bobde3 месяцев назад

That was beautiful. Even tho i haven't used planetscale yet unfortunately. They are the only DB platform w/ peak deep dives on such core DB topics and i love that. Pls keep pushing such content and the bar 🫡

Фото профиля HSVSphere
HSVSphere3 месяцев назад

Is the reason why no DB company does anycast because stateful long lasting protocols might start getting routed to the wrong proxy, closing the connection? And specifying the region via dns and thus different IP circumvents this. Truly something is deeply wrong with our tech

Фото профиля Mubashir
Mubashir3 месяцев назад

such a nice explanation

Фото профиля Vincent Pizzo
Vincent Pizzo3 месяцев назад

On , any idea when the source will be made available? I’d love to see a comparison with Citus / PgDog too!

Фото профиля rikkarth
rikkarth3 месяцев назад

claude please produce transcript from the audio of this video and help build the solution in other words, what a great video

Фото профиля Santi
Santi3 месяцев назад

Another PlanetScale banger

Фото профиля Jos Graas 🇱🇺
Jos Graas 🇱🇺3 месяцев назад

@chrismunns Nice video!

Фото профиля Indy Singh
Indy Singh3 месяцев назад

So what's the overhead of the router here? If you have that kind of setup your TPS/QPS must be pretty high, to where the introduction of a router is going to add a some overhead and at that scale it is going to show up right?

Фото профиля Ξ Calderón 🛡️
Ξ Calderón 🛡️3 месяцев назад

know I understand!

Фото профиля AJ
AJ3 месяцев назад

@grok how many Postgres instances and servers does ChatGPT run

Фото профиля WenHao
WenHao3 месяцев назад

amazing

Фото профиля xp Ehsaan
xp Ehsaan3 месяцев назад

@grok does this solution save on cost ? Instead of increasing primary server spec vertically, you scale horizontally he shardng when the demand increases for write operation ?

Фото профиля Sebastian Buzdugan
Sebastian Buzdugan3 месяцев назад

watched one connection string hide shard pain, failover is still the hard part

Фото профиля Chibueze the chef👨‍💻👨‍🍳
Chibueze the chef👨‍💻👨‍🍳3 месяцев назад

What happened when the shard that is meant to handle a particular data fails ? Does the routing decision grow as the number of shard grows? Also would there be any form of latency or those are negligible?

Похожие видео