CF

Ultimate Service 3.0

13h 33m 5s
English
Paid

Ultimate Service 3.0 is a 80-lesson 13 hours 33 minutes self-paced course by Ardan Labs. This updated course teaches you how to build production-level services in Go, leveraging the power of Kubernetes.

Course facts

Lessons
80
Duration
13 hours 33 minutes
Level
All levels
Language
English
Updated
Instructor
Ardan Labs
Price
Premium

This updated course teaches you how to build production-level services in Go, leveraging the power of Kubernetes.

From the beginning of the course, you will pair-program with your instructor Bill Kennedy as he walks you through the design philosophies, architectural decisions, and best practices as they apply to engineering a production-ready Go service.

With each new feature that is added to the service, you will learn how to deploy and manage the Kubernetes environment used to run the service. Throughout the class, the code being worked on is pushed to a repository for personal access and review.

This class teaches how to build production-level services in Go with a focus on macro-level engineering decisions. From the beginning you will pair program with the instructor, walking through the design philosophies and guidelines used to engineer the code.

Who teaches Ultimate Service 3.0? Ardan Labs

Ardan Labs thumbnail

Ardan Labs is a US training company founded by William Kennedy, focused almost entirely on Go (Golang) and the systems-engineering disciplines around it. Bill Kennedy is one of the most cited Go educators alive — co-author of Go in Action (Manning), maintainer of the Ardan Labs blog, and the lead instructor on a multi-track Go syllabus that runs from beginner through ultimate-Go advanced engineering.

The CourseFlix listing under this source carries nineteen Ardan Labs courses — covering Go language fundamentals, concurrency, advanced engineering patterns, Kubernetes (Bill teaches Go as the implementation language for cloud infrastructure), and the data-engineering / AI tracks Ardan added in recent years. Material is paid and aimed at engineers serious about Go as a career-defining language rather than as a syntax pickup.

What lessons are included in Ultimate Service 3.0?

This is a demo lesson (10:00 remaining)

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#1: 1.0 Intro
All Course Lessons (80)
#Lesson TitleDurationAccess
1
1.0 Intro Demo
00:31
2
1.1: Design Philosophy, Guidelines, What to Expect
02:36
3
1.2: Tooling to Install
04:54
4
2.0 Intro
00:49
5
2.1: Adding Dependencies
23:28
6
2.2: Module Mirrors
19:23
7
2.3: Checksum Database
05:18
8
2.4: Vendoring
05:28
9
2.5: MVS Algorithm
18:15
10
3.0 Intro
00:51
11
3.1: Tooling Installation
05:15
12
3.2: Understanding Clusters, Nodes and Pods
10:07
13
3.3: Write Basic Service for Testing
07:57
14
3.4.1: Docker Images
10:34
15
3.4.2: Kind Configuration
05:47
16
3.4.3: Core K8s Configuration
16:37
17
3.4.4: K8s Quotas / Patching
18:33
18
4.0 Intro
00:55
19
4.1: Project Layers, Policies, and Guidelines
18:14
20
4.2: Prepare Project
19:08
21
4.3: Logging Support
17:04
22
4.4: Configuration Support
21:33
23
4.5: Debugging / Metrics Support
22:28
24
4.6: Shutdown Signaling and Load Shedding
11:01
25
5.0 Intro
00:36
26
5.1: Basic Structure of an HTTP Router
11:26
27
5.2: Add a Readiness, Liveness and Test Handler
23:59
28
6.0 Intro
00:48
29
6.1: Custom Router
17:59
30
6.2: Custom Handler Function
12:31
31
6.3: Middleware Support
09:02
32
6.4: Sending Responses
05:11
33
7.0 Intro
01:01
34
7.1: Logging
13:56
35
7.2: Request Context
15:44
36
7.3.1: Understanding what Error Handling Means
04:54
37
7.3.2: Declaring Custom Error Types
16:48
38
7.3.3: Consistent Handling and Response
13:08
39
7.4: Panic Handling
09:06
40
7.5: Metrics
18:21
41
8.0 Intro
00:39
42
8.1: Understanding JWT
09:02
43
8.2: Private/Public Key Generation
12:16
44
8.3: Token Generation
21:21
45
8.4: Token Signature Validation
07:26
46
9.0 Intro
00:45
47
9.1: Auth Package
11:02
48
9.2: Implementation of an In-Memory Key Store
08:33
49
9.3: Middleware
13:52
50
9.4: Auth Unit Test
19:31
51
10.0 Intro
00:46
52
10.1: Kubernetes Support for Postgres
10:14
53
10.2: Using Sqlx
20:58
54
10.3: Update Readiness Handler to Perform DB Checks
05:49
55
11.0 Intro
00:46
56
11.1: Maintaining Database Schemas
16:03
57
11.2: Seeding Data
05:18
58
11.3: Init Containers
09:53
59
12.0 Intro
00:58
60
12.1: Design Philosophies, Policies, and Guidelines
11:46
61
12.2: User Data Models and API Precision
18:16
62
12.3: Data Model Validation
07:49
63
12.4: User CRUD Data Business Package APIs
26:34
64
12.5: User Core Business Package APIs
07:40
65
13.0 Intro
00:45
66
13.1: Support for Starting and Stopping Containers
13:56
67
13.2: Support for Starting and Stopping a Unit Test
10:36
68
13.3: Write User CRUD Data Unit Tests
11:50
69
14.0 Intro
00:44
70
14.1: Writing User Web Handlers
16:08
71
14.2: Support for Starting and Stopping an Integration Test
04:07
72
14.3: Write Integration Tests for Users
10:40
73
15.0 Intro
00:45
74
15.1: Integrate OTEL Web Handler into the Framework
11:43
75
15.2: Integrate OTEL into Service Startup
09:08
76
15.3: Add Zipkin into POD
10:51
77
15.4: Add Tracing Calls Inside Functions to Trace
08:30
78
16.0 Intro
00:37
79
16.1: Check For Dependcy Upgrades
07:00
80
16.2: Rebuild and Run the Project
07:12
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Frequently asked questions

What are the prerequisites for enrolling in this course?
Before enrolling, it's beneficial to have a basic understanding of the Go programming language, as the course builds production-level services in Go. Familiarity with Docker and Kubernetes concepts is also helpful, given the course covers Docker images and Kubernetes configurations extensively.
What will I build during the course?
The course guides you through building a production-level service in Go. You'll write a basic service for testing, implement a custom HTTP router, and integrate features such as logging, debugging, and error handling. Additionally, you'll work with Kubernetes to manage service deployments and PostgreSQL databases.
Who is the target audience for this course?
The course is designed for software developers and engineers who want to gain expertise in building scalable, production-level services using Go and Kubernetes. It is suitable for those looking to deepen their understanding of service design and deployment.
How does this course compare in depth and scope to other similar courses?
This course offers a comprehensive exploration of building services in Go, with 80 lessons covering everything from dependency management and error handling to Kubernetes deployment and database integration. It provides detailed insights into service design philosophies and practical implementation, which might be more in-depth compared to introductory courses.
What specific tools and platforms will I learn to use?
Students will learn to use various tools and platforms including Docker for containerization, Kubernetes for service management, and PostgreSQL for database integration. Additionally, the course covers tools for logging, debugging, and metrics collection, as well as Go-specific tools for module management and HTTP routing.
Are there any topics that are explicitly not covered in the course?
While the course covers a wide array of topics related to service building in Go, it does not delve into frontend development, user interface design, or non-Go programming languages. The focus is primarily on backend service development and deployment.
How much time should I expect to commit to completing this course?
The course is structured into 80 lessons, so the time commitment will depend on your pace. If you dedicate a few hours weekly, it may take several weeks to complete. The runtime is not specified, so it's advisable to allocate additional time for hands-on practice and exercises.