This 25-hour course that teaches you how to build production-level services in Go, leveraging the power of Kubernetes.

We have a special offer running for this training: GET 2 TICKETS for the PRICE OF 1

Ticket Prices:

• Individual Ticket Holder - No Class Recordings: $275
• 2 FOR 1 - Pay $696 and Get 2 Seats: $348 Each (Includes Class Recordings)
• Individual Ticket Holder - With Class Recordings: $696

NOTE: If you want a 2x1 ticket but don’t have someone, send us an email, we will pair you for the reduced price.

Course Description

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.

Course Curriculum

1.0 - Introduction

Introduction to the class and all the engineering that you will learn.

• 1.1: Design Philosophy, Guidelines, What to Expect
• 1.2: Tooling to Install
• 1.3: Images to Install

2.0 - Modules

A walkthrough of how the module ecosystem works. We talk about the engineering decisions you need to make as they relate to modules.

• 2.1: Adding Dependencies
• 2.2: Module Mirrors
• 2.3: Checksum Database
• 2.4: Vendoring
• 2.5: MVS Algorithm
• 2.6: Upgrading Dependencies

3.0 - Deploy First Mentality

We begin to build the service with a focus on the ability to deploy the service in Kuberenetes.

• 3.1: Project Layers, Policies, and Guidelines
• 3.2: Prepare Project
• 3.3: Logging

4.0 - Kubernetes

We introduce Kubernetes and get a K8s environment up and running. At this point, everything we do runs in the K8s environment.

• 4.1: Clusters, Nodes and Pods
• 4.2: Start the Kuberenetes Cluster
• 4.3: Create/Build Dockerfile for the Service
• 4.4: Create/Apply K8s Deployment for the Service

5.0 - Kubernetes Quotas

We introduce applying Quotas to the deployment and discuss the problems that can result.

• 5.1: Setting CPU Quotas
• 5.2: Adjust GOMAXPROCS to match the CPU Quota

6.0 - Finish Initial Service Startup/Shutdown

We finish the inital startup and shutdown of the service.

• 6.1: Configuration
• 6.2: Debugging / Metrics
• 6.3: Telepresence for Cluster Access
• 6.4: Shutdown Signaling and Load Shedding

7.0 - Web Framework

We build out our own router by extending an existing one. This gives us a framework for injecting business logic into the processing of requests. It also allows for more consistency in the handling of requests.

• 7.1: Basic Structure of an HTTP Router
• 7.2: Liveness and Readiness Handlers
• 7.3: Customize the Router
• 7.4: Middleware Support
• 7.5: Sending Responses

8.0 - Middleware

We add middleware functions for business-level logic that needs to be injected into the processing of requests.

• 8.1: Logging
• 8.2: Error Handling
  • 8.2.1: Understanding what Error Handling Means
  • 8.2.2: Declaring Custom Error Types
  • 8.2.3: Consistent Handling and Response
• 8.3: Panic Handling
• 8.4: Metrics

9.0 - JSON Web Tokens (JWT)

We gain an understanding of how JWT’s work and their shortcomings.

• 9.1: Understanding JWT
• 9.2: Private/Public Key Generation
• 9.3: Token Generation
• 9.4: Token Signature Validation

10 - Secrets Support

We add Hashicorp’s Vault to our K8s environment. Then we add support to our admin tooling to add our private key to Vault and configure the tool to run inside a K8s init container. Then we write a package for retrieving the private key for application use.

• 10.1: Kubernetes Support for Vault
• 10.2: Admin Support to Load Keys
• 10.3: Add Init Containers to Load Keys
• 10.4: Create Vault Package
• 10.5: Vault Unit Test

11 - Authentication / Authorization

We integrate authentication and authorization support into the project by developing a packages to generate and validate tokens. Then we integrate the packages into the application and test things are working.

• 11.1: Auth Package
• 11.2: Auth Unit Test
• 11.3: Add Middleware

12 - Database Support

We add a Postgres database to our K8s environment. Then we write a small database package that provides support for using the SQLx package more effectively. Finally, integrate the database package on application startup.

• 12.1: Kubernetes Support for Postgres
• 12.2: Create Database Package
• 12.3: Update Readiness Handler to Perform DB Checks

13.0 - Database Migrations and Seeding

We define our schema and provide support for migration schema changes over time. We also provide support for seeding the database. FInally, we add support in Kubernetes to run the migration and seeding on POD startup.

• 13.1: Maintaining Database Schemas
• 13.2: Seeding Data
• 13.3: Add Init Containers to Automate Migrations

14.0 - Business Packages

We talk about the business packages that will exist in the core layer. Then we add the core user and storage packages for managing users in the database. We provide support for adding, updating, deleting, retrieving, and caching users plus talk about all the engineering decisions that go into these types of CRUD based APIs.

• 14.1: Design Philosophies, Policies, and Guidelines
• 14.2: Core Business Package Design
• 14.3: Store Database Package Design
• 14.4: Store Cache Package Design

15.0 - Testing Data Business Packages

We add docker and unit testing support for writing unit tests against a real database and write the actual user package tests.

• 15.1: Support for Starting and Stopping Containers
• 15.2: Support for Starting and Stopping a Unit Test
• 15.3: Write User CRUD Data Unit Tests

16.0 - REST API

We add the web handlers for the new user CRUD support. We also write integration tests to validate everything is working.

• 16.1: Writing User Web Handlers
• 16.2: Support for Starting and Stopping an Integration Test
• 16.3: Write Integration Tests for Users

17.0 - Open Telemetry

We add tracing to the project by integrating Open Telemetry and Zipkin.

• 17.1: Integrate OTEL Web Handler into the Framework
• 17.2: Integrate OTEL into Service Startup
• 17.3: Kubernetes Support for Zipkin
• 17.4: Add Tracing Calls Inside Functions to Trace

18.0 - Review Service Project

Review service project and get it running

• 18.1: Check For Dependcy Upgrades
• 18.2: Rebuild and Run the Project

Important: Upon completion of each session, there will be a video recording available for download.

What a student is expected to learn:

We will be challenging every student to think about what they are doing and why. In the 4 years, we have taught this material, we never had someone not appreciate the class and feel like they are a better developer for it. If you want to be a better Go developer, code reviewer, designer, and architect, this is the class you want to take.

Prerequisites:

A basic understanding of the Go programming language. Students do not have to be expert Go users but they will get the most from the workshop if they have completed the majority of the Go Tour.

[Requierments] (https://github.com/ardanlabs/service/wiki/requirements)