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Building Resilient Event-Driven Microservices Apps in .NET 7

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Introduction

Before We Begin

The Sample Application

Overview: The Sample Application Exploring Business Drivers and the Application Assessing Architectural Structures and Paradigms Reviewing the Implementation Details Summary: The Sample Application Quiz: The Sample Application

The Producer-Consumer Pattern

Overview: The Producer-Consumer Pattern Examining Producers and Consumers Exploring Implementation Details in Code Reviewing Implementation Details in Infrastructure Summary: The Producer-Consumer Pattern Quiz: The Producer-Consumer Pattern

Message Brokers

Overview: Message Brokers What Is a Message Broker?Inspecting Messaging Protocols, Schemas, and Delivery Patterns Implementing Message Broker Technologies Summary: Message Brokers Quiz: Message Brokers

Domain Model and Asynchronous Events

Overview: Domain Model and Asynchronous Events Reviewing Domain Structures and Components Exploring More Domain Structures Using Asynchronous Actions Summary: Domain Model and Asynchronous Events Quiz: Domain Model and Asynchronous Events

Containerization and Local Environment Setup

Overview: Containerization and Local Environment Setup Reviewing Containerization Fundamentals Setting Up the Local Environment Using Dockerfiles to Build and Run Locally Summary: Containerization and Local Environment Setup Quiz: Containerization and Local Environment Setup

Localized Testing and Debugging of Microservices

Overview: Localized Testing and Debugging of Microservices Configuring Orchestration and Containers Debugging in Containers Testing Against Containers Summary: Localized Testing and Debugging of Microservices Quiz: Localized Testing and Debugging of Microservices

Microservice Observability

Overview: Microservice Observability Observability Liveness and Readiness Aggregation of Logs Correlation and Causation Summary: Microservice Observability Quiz: Microservice Observability

CI/CD Pipelines and Integrated Testing

Overview: CI/CD Pipelines and Integrated Testing Reviewing Common CI/CD Patterns Enabling GitHub Actions for CI/CD Implementation Choosing an Integration Test Suite Methodology Summary: CI/CD Pipelines and Integrated Testing Quiz: CI/CD Pipelines and Integrated Testing

Fault Injection and Chaos Testing

Overview: Fault Injection and Chaos Testing Fault Tolerance and Fault Injection Chaos Testing Implementing Fault Injection and Chaos Tests Using Azure Chaos Studio Summary: Fault Injection and Chaos Testing Quiz: Fault Injection and Chaos Testing

Modern Design Patterns for Scalability

Overview: Modern Design Patterns for Scalability Mechanisms for Autoscaling Implementing Autoscaling for Kubernetes Services Implementing Autoscaling for Azure App Service Summary: Modern Design Patterns for Scalability Quiz: Modern Design Patterns for Scalability

Minimizing Data Loss

Overview: Minimizing Data Loss

Preventing Data Loss

Data Consistency Paradigms

Identifying Acceptable Data Loss

Delivery Guarantees: At-Most-Once

Delivery Guarantees: At-Least-Once

Delivery Guarantees: Effectively-Once

Data Loss Implications

Summary: Minimizing Data Loss

Quiz: Minimizing Data Loss

Service and Application Resiliency

Overview: Service and Application Resiliency Resiliency through Cloud-Native Patterns Redundancy and Enabling Business Continuity Graceful Communication between Services Summary: Service and Application Resiliency Quiz: Service and Application Resiliency

Telemetry Capture and Integration

Overview: Telemetry Capture and Integration Application vs. Service vs. Component-Level Telemetry Implementing Non-Intrusive Telemetry Capture Implementing Custom Telemetry Capture Bubbling Up Meaningful Information Summary: Telemetry Capture and Integration Quiz: Telemetry Capture and Integration

Observability Revisited

Overview: Observability Revisited Sharing API Services Generating Service Information Service Discovery Service Publishing Service Cataloging Summary: Observability Revisited Quiz: Observability Revisited

Conclusion

Summary: Minimizing Data Loss

Summarize what you’ve learned in this chapter.

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Wrap up!

Wrap up!

In this chapter, we looked at the potential for data loss in a distributed system and examined how we can use event delivery guarantee patterns to appropriately sacrifice performance for a lower loss risk.

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