Build a Google Analytics in Go

7h 18m 48s
English
Paid

This course assumes you've taken my Build SaaS apps in Go course or are familiar with Go's standard library for building web applications.

We cover the following aspects:

  1. The client-side tracker.
  2. The Go backend API.
  3. Geo-localization from an IP address.
  4. Storing the data into PostgreSQL.
  5. Using Docker to improve your developer's life.
  6. Generating traffic and testing the performance of our system.
  7. Optimizing the DB, table, and queries.
  8. Using ClickHouse to handle 100x the volume of our database.
  9. Building a CLI dashboard.
  10. Deploying our approach to a VM.

About the Author: Dominic St-Pierre

Dominic St-Pierre thumbnail
Hi, I'm Dominic St-Pierre. I write about software engineering. I'm a polyglot programmer, but have a huge preference for Go. I'm the host of go podcast() and co-host of The SaaS Marathon podcasts. I published a book / course in 2018 named Build SaaS apps in Go.

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#1: Course intro
All Course Lessons (32)
#Lesson TitleDurationAccess
1
Course intro Demo
03:19
2
What we need
09:27
3
Setup project
11:38
4
Tracker class
16:23
5
Track page views
13:09
6
Handle missing data
16:24
7
API design
03:19
8
Track handler
10:02
9
Decode data
15:27
10
Data structure
20:29
11
Use Docker to test
27:56
12
Architecture design
03:12
13
Run the project
16:26
14
Call from API
12:18
15
Fill database
04:19
16
Generate 15M rows
14:24
17
Import the data
15:41
18
The problem
14:12
19
Let's normalize
16:30
20
This sucks!
09:57
21
ClickHouse
10:34
22
Is it faster than PG
12:30
23
Swap PG for ClickHouse
14:18
24
Queue and batch inserts
27:24
25
Adding referrer domain
03:05
26
Proof of concept
18:35
27
Refactor and display metrics
19:18
28
Dashboard v1
26:46
29
Add configuration
11:21
30
API authentication
08:45
31
Servers config setup
23:31
32
Dashboard config
08:09
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