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.
Read more about the course
We cover the following aspects:
- The client-side tracker.
- The Go backend API.
- Geo-localization from an IP address.
- Storing the data into PostgreSQL.
- Using Docker to improve your developer's life.
- Generating traffic and testing the performance of our system.
- Optimizing the DB, table, and queries.
- Using ClickHouse to handle 100x the volume of our database.
- Building a CLI dashboard.
- 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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