# Devido à carga extrema, isso está sendo mostrado temporariamente para todos... quando na verdade não é o caso

**URL:** https://meta.discourse.org/t/due-to-extreme-load-this-is-temporarily-being-shown-to-everyone-when-its-not-really-the-case/268636
**Category:** Self-hosting
**Tags:** server-resources
**Created:** [Junho 16, 2023, 2:39pm UTC](https://meta.discourse.org/t/due-to-extreme-load-this-is-temporarily-being-shown-to-everyone-when-its-not-really-the-case/268636 "2023-06-16T14:39:03Z")
**Posts on this page:** 1
**Showing post:** 6

<div class="post-metadata">

### Author: ![Stephen](https://sea3.discourse-cdn.com/meta/user_avatar/meta.discourse.org/stephen/32/95011_2.png) [@Stephen](https://meta.discourse.org/u/Stephen)
#### Post date: [Junho 16, 2023, 6:29pm UTC](https://meta.discourse.org/t/due-to-extreme-load-this-is-temporarily-being-shown-to-everyone-when-its-not-really-the-case/268636/6 "2023-06-16T18:29:35Z")

</div>

> [@Crius](#):
>
> Terei em mente sua sugestão de 2x núcleos para workers e 25% da memória reservada para os buffers compartilhados do banco de dados.

é isso que o discourse-setup faz:

```plaintext
# db_shared_buffers: 128MB para 1GB, 256MB para 2GB, ou 256MB * GB, máximo 4096MB
# UNICORN_WORKERS: 2 * GB para 2GB ou menos, ou 2 * CPU, máximo 8

```

‘máximo’ pode ser levado com uma pitada de sal ali, particularmente grandes comunidades verão benefícios além desses números.

Então sim, no seu caso, deveria ter especificado os máximos de 8 workers e 4096MB. Se você reduzir os workers e os buffers compartilhados disponíveis para o Discourse, ele atingirá o limite antes que todos os recursos da VM sejam consumidos.

Esta postagem de @mpalmer ainda é uma boa orientação:

> [@Optimizing the number of Unicorns and buffer size](https://meta.discourse.org/t/optimizing-the-number-of-unicorns-and-buffer-size/51514/5?u=stephen):
>
> Increasing the number of unicorn workers to suit your CPU and RAM capacity is perfectly reasonable. The “two unicorns per core” guideline is a starting figure. CPUs differ (wildly) in their performance, and VPSes make that even more complicated (because you can never tell who else is on the box and what they’re doing with the CPU), so you start conservative, and if you find that you’re running out of unicorns before you’re running out of CPU and RAM, then you just keep increasing the unicorns. …

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