CF

Eloquent Performance Patterns

2h 12m 50s
English
Paid
Updated September 2026

Eloquent Performance Patterns is a 28-lesson 2 hours 12 minutes self-paced course by Jonathan Reinink. Slow Laravel apps usually aren't fixed by a bigger server.

Course facts

Lessons
28
Duration
2 hours 12 minutes
Level
All levels
Language
English
Updated
2026-09-11
Instructor
Jonathan Reinink
Price
Premium

Slow Laravel apps usually aren't fixed by a bigger server. Eloquent Performance Patterns is about pushing more of the work into the database itself, while still writing it through Eloquent.

The problem this solves

N+1 queries get fixed, indexes get added, and pages still crawl. Pagination that depends on checks running in PHP, calculations that seem to demand application-level code, sorting on values computed after the query runs, caching that trades one bug for another – these are the roadblocks Jonathan Reinink built this course to remove.

What you'll learn

  • Subqueries and conditional aggregates for moving logic into SQL
  • Building smart, reusable Eloquent scopes
  • Patterns that took real pages from over 30 seconds down to under one

Reinink has presented these techniques at Laracon Online and Laracon US and written extensively on advanced Eloquent patterns; this course collects that experience into 28 focused lessons.

Who teaches Eloquent Performance Patterns? Jonathan Reinink

Jonathan Reinink thumbnail

Jonathan Reinink is a Canadian software engineer and the creator of Inertia.js — the modern monolith framework that lets Laravel and Rails developers build SPAs without the typical SPA complexity, by treating server-rendered pages and client-side React / Vue components as a unified stack.

His CourseFlix listing carries Eloquent Performance Patterns — a deep treatment of Laravel Eloquent ORM performance: the query patterns, the N+1 traps, eager loading strategies, and the engineering decisions that separate fast Eloquent code from the default slow patterns.

Material is paid and aimed at Laravel developers running Eloquent at scale. For broader content, see CourseFlix's Laravel category page.

What lessons are included in Eloquent Performance Patterns?

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#1: Measuring your database performance
All Course Lessons (28)
#Lesson TitleDurationAccess
1
Measuring your database performance Demo
04:43
2
Minimizing memory usage by selecting only
04:29
3
Getting one record from has-many relationships
09:44
4
Creating dynamic relationships using sub queries
06:10
5
Calculating totals using conditional aggregates
04:21
6
Optimizing circular relationships
04:25
7
Setting up multi-column searching
04:07
8
Getting LIKE to use an index
05:05
9
Faster options than whereHas
03:55
10
When it makes sense to run additional queries
03:08
11
Using UNIONs to run queries independently
07:58
12
Fuzzier searching using regular expressions
04:45
13
Running authorization policies in the database
06:04
14
Faster ordering using compound indexes
04:05
15
Ordering by has-one relationships
01:38
16
Ordering by belongs-to relationships
01:39
17
Ordering by has-many relationships
04:21
18
Ordering by belongs-to-many relationships
05:39
19
Ordering with NULLs always last
07:36
20
Ordering by custom algorithms
06:38
21
Filtering and sorting anniversary dates
07:04
22
Making N+1 issues impossible
03:24
23
Ordering data for humans using natural sort
04:20
24
Full text searching with rankings
05:07
25
Getting the distance between geographic points
03:23
26
Filtering by geographic distance
03:00
27
Ordering by geographic distance
01:26
28
Filtering by geospatial area
04:36
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What courses are similar to Eloquent Performance Patterns?

Frequently asked questions

What are the prerequisites for this course?
Before enrolling, you should have a solid understanding of Laravel and Eloquent ORM, as the course focuses on optimizing database operations using these tools. Familiarity with basic database concepts and SQL queries will also be beneficial, as the course involves advanced techniques like subqueries and conditional aggregates.
What will I build or achieve by the end of the course?
By the end of the course, you will be equipped with techniques to optimize Laravel applications, including reducing load times from over 30 seconds to under a second. You will learn to implement subqueries, conditional aggregates, and smart scopes, which will help you move more computational work to the database, increasing the efficiency of your applications.
Who is the target audience for this course?
This course is designed for Laravel developers who are experiencing performance issues in their applications and want to improve app speed by leveraging database capabilities. It's also suitable for those who have faced challenges with N+1 queries, heavy calculations, and data sorting within Laravel.
How does this course differ from other Laravel performance courses?
Unlike some other courses, this course specifically focuses on moving computational tasks to the database while using Eloquent ORM. It addresses common performance roadblocks like N+1 queries and sorting issues, offering practical steps to optimize database interactions without relying heavily on server resources or caching.
What specific tools or platforms will I learn about?
The course covers advanced Eloquent patterns and tools like subqueries, conditional aggregates, and smart scopes. It also touches on database indexing techniques, using UNIONs for query independence, and optimizing search and ordering operations with compound indexes and geospatial filtering.
What topics are not covered in this course?
The course does not cover basic Laravel setup or introductory concepts of Eloquent ORM. It also doesn't focus on server-side optimizations outside of database interactions, such as caching strategies or server scaling techniques. Instead, the emphasis is on optimizing database operations within Laravel applications.
How much time should I expect to commit to this course?
The course includes 28 lessons, but the total runtime is not specified. It is recommended to allocate time for each lesson to understand and apply the concepts thoroughly. Given the advanced nature of the content, setting aside time for practical experimentation and reviewing complex topics is advised.