At Mollie, as teams grow and new projects are launched, we experienced firsthand how quickly observability costs can start to grow unsustainably. As a response to the limited support from our vendor, we developed a, Vector-powered, telemetry data ingestion solution to help manage ingestion at scale.
Hello, my name is Diogo Cebola. I have a background in Computer Engineering, specialising in distributed systems and secure multiparty computation. My passion for automation and building robust, and simple to deploy applications, led me to the field of platform engineering. I have around 2 years of experience as a platform engineer working in the fields of Reliability and Observability. I'm currently part of the Reliability team at Mollie. Here I enable teams to build reliable systems and, alongside my colleagues, maintain our observability platform.
My co-speaker André Bento is a Platform Engineer at Mollie, a leading FinTech company, and an invited Professor at the University of Coimbra, where he teaches Distributed Systems, Introduction to Programming, and Systems Integration. He earned his PhD in Informatics Engineering from the University of Coimbra, with a thesis on Optimizing Availability and Resource Utilization of Cloud Services. André also holds a BSc in Informatics Engineering from the Coimbra Institute of Engineering and an MSc from the University of Coimbra, where his research centered on Observing and Controlling Performance in Microservices. With deep expertise in distributed systems, cloud computing, microservices, observability, and resource optimization, he is passionate about advancing cloud-based solutions and continuously exploring innovative technologies and methodologies.
