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.

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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.

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# Title Duration
1 Course intro 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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