Monitoring and observability and error handling and resilience

In this section, you will learn how to monitor and observe microservices. You will also learn more about error handling and resilience, both of which are crucial aspects of developing better microservices.

Let’s explore these topics in more detail.

Monitoring and observability

Monitoring and observability are crucial components of microservices architecture, providing insights into system health, performance, and behavior.

Let’s take a look at the characteristics of these components:

• Metrics collection: Monitoring involves collecting various metrics such as CPU usage, memory usage, request rates, error rates, and latency. These metrics provide insights into system performance.
• Centralized logging: Centralized logging aggregates logs from all microservices into a central system (such as ELK Stack). Centralized logs simplify debugging and troubleshooting across the entire system.
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