AWS Data Engineer Associate 2025: Data Observability and Reliability

Observability ensures your data pipelines are resilient, discoverable, and self-healing, even at scale.In this course, learn about end-to-end observability by leveraging metrics, logs, and distributed traces to gain deep visibility into ETL workflows and uncover bottlenecks. Next, discover how to integrate AWS X-Ray with AWS Step Functions for tracing multistep pipelines, apply self-healing patterns like retries and circuit breakers, and practice chaos engineering by injecting controlled failures. Finally, learn how to build unified CloudWatch dashboards for key reliability KPIs and conduct postmortem analysis of pipeline failures to drive continuous improvement.This course is part of a collection that prepares learners for the AWS Certified Data Engineer – Associate (DEA-C01) certification exam.