Two of the key challenges in software testing are the automated generation of test cases, and the identification of failures by checking test outputs. Both challenges are effectively addressed by metamorphic testing (MT), a software testing technique where failures are not revealed by checking an individual concrete output, but by checking the relations among the inputs and outputs of multiple executions of the software under test. Two decades after its introduction, MT is becoming a fully-fledged testing paradigm with successful applications in multiple domains including, among others, big data engineering, simulation and modeling, compilers, machine learning programs, autonomous cars and drones, and cybersecurity. This technical briefing will provide an introduction to MT from a double perspective. First, Sergio Segura will present the technique and the results of a novel survey outlining its main trends and lessons learned. Then, Zhi Quan Zhou will go deeper and present some of the successful applications of the technique, as well as challenges and opportunities on the topic. The briefing will be complemented with practical exercises on testing real web applications and APIs.