Performance Tuning - QBCore Guide for FiveM
Introduction
This tutorial turns Performance Tuning into a clean, developer-friendly guide for QBCore/FiveM. You will follow a step-by-step flow, copy the relevant code patterns, and learn the “why” behind the setup.
Requirements
- QBCore installed and running on a dev server
- Basic Lua knowledge and comfort reading FiveM patterns
- A test workflow for iterating safely (dev server, not production)
- Optional: a code editor with Lua/FiveM helpers (VS Code recommended)
Step-by-Step Guide
Step 1: Establish a Baseline
In this step, you will apply the establish a baseline concept as a practical change: define the pieces, wire them together, then verify the behavior in your dev server.
Step 2: Instrument Your Code
In this step, you will apply the instrument your code concept as a practical change: define the pieces, wire them together, then verify the behavior in your dev server.
Step 3: Optimise Server Scripts
In this step, you will apply the optimise server scripts concept as a practical change: define the pieces, wire them together, then verify the behavior in your dev server.
Step 4: Optimise Client Scripts and UI
In this step, you will apply the optimise client scripts and ui concept as a practical change: define the pieces, wire them together, then verify the behavior in your dev server.
Step 5: Database and External Services
In this step, you will apply the database and external services concept as a practical change: define the pieces, wire them together, then verify the behavior in your dev server.
Step 6: Ongoing Monitoring
In this step, you will apply the ongoing monitoring concept as a practical change: define the pieces, wire them together, then verify the behavior in your dev server.
Step 7: See Also
In this step, you will apply the see also concept as a practical change: define the pieces, wire them together, then verify the behavior in your dev server.
Code Example
-- Example: reduce work in loops with caching + dynamic sleep
local function GetDistance(a, b)
local dx = a.x - b.x
local dy = a.y - b.y
local dz = a.z - b.z
return math.sqrt(dx*dx + dy*dy + dz*dz)
end
CreateThread(function()
while true do
local sleep = 1000
local ped = PlayerPedId()
local coords = GetEntityCoords(ped)
-- Example location
local dist = GetDistance(coords, vector3(0.0, 0.0, 0.0))
if dist < 3.0 then
sleep = 0
-- Do your expensive work only when needed
end
Wait(sleep)
end
end)Tips & Best Practices
- Keep authority on the server: validate inputs before money/database operations.
- Start with one resource/module at a time, then refactor after you verify it works.
- Use callbacks for request/response flows and events for push/UX updates.
- When you run loops, avoid freezes: always yield with Wait() (client/server) and cache hot values.
What You Will Learn
This Development tutorial focuses on practical outcomes for FiveM scripting and QB Core development. By following the steps in Performance Tuning - QBCore Guide for FiveM, you will understand how the topic fits into a real server workflow and how to apply it safely.
You will learn the reasoning behind the implementation choices (especially for intermediate topics), so you can make the same decisions again for future resources. The goal is to reduce trial-and-error, improve consistency across updates, and help your team ship changes without breaking gameplay.
- Identify the correct use case for this approach in a QB Core or FiveM environment
- Implement the key concepts with an install-ready workflow
- Validate compatibility and avoid common setup conflicts
- Apply best practices to keep your server stable over time
Why This Matters
When scripts, configs, and documentation are aligned with your server architecture, you reduce maintenance overhead. That means fewer upgrade surprises, faster onboarding for new admins, and a more reliable experience for your players.
FAQ
Do I need advanced knowledge? This tutorial is matched to a Intermediate difficulty level, and the steps are designed to build confidence without assuming everything is already known.
Will this work on my QB Core server? The tutorial emphasizes compatibility and integration checks so you can confirm requirements before installing.
How do I apply this to my next update? Use the same workflow and validation approach described here, then adapt the final details to your server’s setup.