Introduction to Distributed Logging

Logging in a distributed system

Modern system architectures often adopt microservices rather than monolithic architectures. In a microservices environment, logs are distributed across the nodes that run each service. This complicates debugging. When a request spans multiple services, tracing the execution path or correlating errors from individual nodes becomes difficult. A single microservice may run on thousands of instances. Because services are interdependent, a failure in one can cascade to others. Without centralized logging and end-to-end request tracing, identifying the root cause of failures becomes significantly harder.

Restrain the log size

Log volume grows rapidly with traffic. A system handling hundreds of concurrent messages generates massive amounts of data. To manage this, you must structure logs effectively and determine which events are critical enough to record.

Use sampling

Sampling reduces log volume by recording a representative subset of events. For ...