Modern distributed systems rely heavily on event‑driven architectures, where microservices communicate through asynchronous message streams instead of direct API calls. This decoupling improves fault tolerance and scalability, but it also introduces new challenges like event ordering, idempotency handling, and schema versioning. To mitigate these, platforms often implement exactly‑once processing semantics via checkpointing and transactional logs.
Meanwhile, observability stacks combine structured logging, distributed tracing, and metrics pipelines to provide end‑to‑end visibility. Tools like OpenTelemetry standardize data collection, enabling consistent instrumentation across heterogeneous services. With this, engineers can trace a request across dozens of services and pinpoint latency bottlenecks or cascading failures.
