GHL
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In this step-by-step tutorial I take you through an introduction on building microservices using .NET. As the name suggests we build everything completely from start to finish –with the full scope of the course outlined in the time-stamp section below. However, at a high-level we’ll cover:
• Building two .NET Microservices using the REST API pattern
• Working with dedicated persistence layers for both services
• Deploying our services to Kubernetes cluster
• Employing the API Gateway pattern to route to our services
• Building Synchronous messaging between services (HTTP & gRPC)
• Building Asynchronous messaging between services using an Event Bus (RabbitMQ)
To accompany this course I have provided free Kubernetes command and Architecture Cheat Sheet which is available for download when you subscribe to my blog at: /
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📕 Webhooks Course:
🔗 GitHub Repo: –
🔗 Containerizing a .NET App: /
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🔗 Dependency Injection in .NET: />
⏲️ Time Codes ⏲️
– 0:00 PART 1 – INTRODUCTION & Theory
– 2:39 Course Approach
– 6:11 Course Overview
– 11:31 Ingredients & Tooling
– 16:14 What are microservices?
– 33:40 Overview of our microservices
– 37:37 Solution Architecture
– 43:54 Application Architecture
– 46:47 PART 2 – BUILDING THE FIRST SERVICE
– 47:33 Scaffolding the service
– 52:37 Data Layer – Model
– 57:35 Data Layer – DB Context
– 1:02:38 Data Layer – Repository
– 1:16:00 Data Layer – DB Preparation
– 1:27:31 Data Layer – Data Transfer Objects
– 1:41:19 Controller and Actions
2:16:21 PART 3 – DOCKER & KUBERNETES
– 2:16:21 Review of Docker
– 2:20:55 Containerizing the Platform Service
– 2:37:29 Pushing to Docker Hub
– 2:42:43 Introduction to Kubernetes
– 2:46:54 Kubernetes Architecture Overview
– 2:58:40 Deploy the Platform service
3:25:01 PART 4 – STARTING OUR 2ND SERVICE
– 3:25:01 Scaffolding the service
– 3:30:41 Add a Controller and Action
– 3:41:50 Overview of Synchronous and Asynchronous Messaging
– 3:55:21 Adding a HTTP Client
– 4:19:34 Deploying service to Kubernetes
– 4:44:55 Adding an API Gateway
5:07:12 PART 5 – STARTING WITH SQL SERVER
– 5:07:12 Adding a Persistent Volume Claim
– 5:12:34 Adding a Kubernetes Secret
– 5:15:12 Deploying SQL Server to Kubernetes
– 5:30:31 Accessing SQL Server via Management Studio
– 5:33:06 Updating our Platform Service to use SQL Server
6:06:02 PART 6 – MULTI-RESOURCE API
– 6:06:02 End Point Review for Commands Service
– 6:09:31 Data Layer – Models
– 6:16:38 Data Layer – DB Context
– 6:21:37 Data Layer – Repository
– 6:34:53 Data Layer – Dtos
– 6:40:49 Data Layer – AutoMapper Profiles
– 6:45:26 Controller & Actions
7:20:49 PART 7 – MESSAGE BUS & RABBITMQ
– 7:20:49 Solution Architecture Overview
– 7:24:06 RabbitMQ Overview
– 7:28:55 Deploy RabbitMQ to Kubernetes
7:43:27 PART 8 – ASYNCHRONOUS MESSAGING
– 7:44:01 Add a Message Bus Publisher to Platform Service
– 8:18:07 Testing our Publisher
– 8:25:19 Command Service ground work
– 8:36:46 Event Processing
– 8:59:14 Adding an Event Listener
– 9:19:29 Testing Locally
– 9:26:28 Deploying to Kubernetes
9:39:12 PART 9 – GRPC
– 9:39:12 Overview of gRPC
– 9:44:06 Final Kubernetes networking configuration
– 9:54:32 Adding gRPC Package references
– 9:56:44 Working with Protocol Buffers
– 10:03:55 Adding a gRPC Server to Platforms Service
– 10:20:53 Adding a gRPC Client to Commands Service
– 10:39:41 Adding a Database prep class to Commands Service
– 10:48:05 Test Locally
– 10:51:01 Deploy to Kubernetes
– 10:58:43 Final thoughts & thanks
– 11:00:55 Supporter Credits