Production Observability for Kubernetes on AWS using OpenTelemetry Operator

Modern Kubernetes environments are highly dynamic, distributed, and complex. While this enables scalability and flexibility, it also introduces a critical challenge: observability at scale . In production systems, simply collecting logs or metrics is not enough. You need a unified observability strategy that provides: Metrics (system health) Logs (events & debugging) Traces (request flow across services) In this blog, we’ll explore how to build a production-grade observability stack on AWS using Kubernetes and the OpenTelemetry Operator , covering architecture, implementation, and best practices. Why Observability is Critical in Kubernetes Kubernetes introduces several layers of abstraction: Pods are ephemeral Services scale dynamically Network paths are non-linear Failures are distributed Without proper observability, it becomes difficult to: Identify bottlenecks Debug latency issues Trace failures across services Monitor system health Observability Architecture Overview End-to-end ob