Logging in distributed systems is not as simple as it sounds. The nature of having distributed applications comes with challenges for data processing such as parsing and unstructured/structured data handling, metadata correlation (labels/annotations), data centralization, and overall reliability. In this session, we will dive and explain all the concepts of Logging for distributed systems, specifically applicable for Kubernetes environments, best practices, and open-source tools available to satisfy the final needs of every user: data analysis. Doing Logging right is not hard if the concepts are understood, after this session you will be in a good position to implement a unified logging layer in Kubernetes with further knowledge of best practices for performance, security, and data transfer reliability.