Centralized Logging Strategies

Imagine you're running an e-commerce application built using microservices. A customer places an order, but the request fails with an internal server error. In a monolithic application, debugging this issue is relatively straightforward. Most of the application runs in one process, and you can usually find the relevant logs in one place.

In a microservices architecture, things are different. A single order request might travel through several services:

Each service runs independently, often across multiple servers or containers, and generates its own logs. The Order Service might report that the payment failed, while the Payment Service might show a timeout when communicating with an external payment provider. To understand what happened, you need information from multiple services.

Manually accessing individual servers and searching through log files becomes impractical as the system grows. This is the problem centralized logging solves.

Centralized logging collects logs from different services, processes them, and makes them available through a common platform where engineers can search, filter, and analyze them. It is one of the foundational components of observability in a microservices architecture.