Charles Bochet 5f94ee3e02 perf(server): raise workspace local cache size and meter evictions (#21954)
## Context

The per-pod in-process workspace metadata cache
(`WorkspaceCacheService`) evicts by a fixed **1,000-entry count**. Each
workspace's cached metadata is ~1 MB (dominated by the flat
`field-metadata` map) over ~10–13 entries, so 1,000 entries ≈ only a few
dozen workspaces per pod. On a multi-tenant instance with far more
active workspaces, the L1 cache thrashes — LRU-evicting and re-fetching
the ~1 MB of maps from Redis on misses — and since the cache sits in one
AZ while pods span both, ~half of that transfer is billed cross-AZ. (In
prod this cache node serves ~2.6 TB/day.)

## What this does

- **Raise `MAX_LOCAL_CACHE_ENTRIES` 1,000 → 7,500** (~500 workspaces at
~1 MB each; server pods are 4 GiB / `--max-old-space-size=3500`, so this
stays well within the heap).
- **Add a `workspace-metadata-cache/local-eviction` counter**
(incremented by the number of entries dropped each time the cache hits
capacity) so we can see capacity-driven evictions in metrics and tune
the limit from real data rather than guessing.

Eviction stays **batched** (`MIN_EVICT_KEYS`), so the sort runs about
once per 100 inserts at steady state rather than on every write.

### Why count, not bytes
An earlier iteration bounded by measured bytes, but that required
`JSON.stringify`-ing every cached value (incl. the ~1 MB field-metadata
maps) on every write — meaningful CPU/GC overhead on the fill path. A
raised count cap avoids that entirely; the new eviction metric gives us
the signal to right-size it.

No change to cache semantics, hashing, or the Redis format.
2026-06-22 17:00:29 +02:00
2026-06-11 11:02:28 +02:00

Twenty logo

The #1 Open-Source CRM

Website · Documentation · Roadmap · Discord · Figma

Twenty banner


Why Twenty

Twenty gives technical teams the building blocks for a custom CRM that meets complex business needs and quickly adapts as the business evolves. Twenty is the CRM you build, ship, and version like the rest of your stack.

Learn more about why we built Twenty


Installation

Cloud

The fastest way to get started. Sign up at twenty.com and spin up a workspace in under a minute, with no infrastructure to manage and always up to date.

Build an app

Scaffold a new app with the Twenty CLI:

npx create-twenty-app my-app

Define objects, fields, and views as code:

import { defineObject, FieldType } from 'twenty-sdk/define';

export default defineObject({
  nameSingular: 'deal',
  namePlural: 'deals',
  labelSingular: 'Deal',
  labelPlural: 'Deals',
  fields: [
    { name: 'name', label: 'Name', type: FieldType.TEXT },
    { name: 'amount', label: 'Amount', type: FieldType.CURRENCY },
    { name: 'closeDate', label: 'Close Date', type: FieldType.DATE_TIME },
  ],
});

Then ship it to your workspace:

npx twenty app:publish --private

See the app development guide for objects, views, agents, and logic functions.

Self-hosting

Run Twenty on your own infrastructure with Docker Compose, or contribute locally via the local setup guide.



Everything you need

Twenty gives you the building blocks of a modern CRM (objects, views, workflows, and agents) and lets you extend them as code. Here's a tour of what's in the box.

Want to go deeper? Read the User Guide for product walkthroughs, or the Documentation for developer reference.

Create your apps

Learn more about apps in doc

Stay on top with version control

Learn more about version control in doc

All the tools you need to build anything

Learn more about primitives in doc

Customize your layouts

Learn more about layouts in doc

AI agents and chats

Learn more about AI in doc

Plus all the tools of a good CRM

Learn more about CRM features in doc


Stack

Thanks

Greptile      Sentry      Crowdin

Thanks to these amazing services that we use and recommend for code review (Greptile), catching bugs (Sentry) and translating (Crowdin).

Join the Community

Star the repo · Discord · Feature requests · Releases · X · LinkedIn · Crowdin · Contribute

S
Description
The open alternative to Salesforce, designed for AI.
Readme AGPL-3.0 1.4 GiB
Languages
TypeScript 79.6%
MDX 17.3%
JavaScript 2.7%
Python 0.2%
SCSS 0.1%