Distributed Systems

Standard observability implementations behave differently in distributed systems than in monolithic or single-service architectures. Single-service observability setups do not address some distributed-system observability complexities. Distributed systems add complexity around correlation, sampling, and trace-context propagation across service boundaries. Kafka is designed to connect producer and consumer systems operating across a network of servers. Kafka excels at coordinating many distributed services simultaneously without a single point of coordination failure.