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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

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

Quiz: Microservice Observability

Test your understanding of the concepts learned in this chapter.

1

If a liveness endpoint fails for a Pod in a Kubernetes cluster, what’s the effect?

A)

Kubernetes will stop sending requests to the Pod immediately.

B)

Kubernetes will ignore the liveness endpoint and continue normal operation.

C)

Kubernetes will continue to check the liveness endpoint. If it fails for longer than the configured tolerance, the Pod will be terminated.

D)

Kubernetes will restart the Pod immediately.

Question 1 of 50 attempted

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