Failure Hunting - The quest for a better Quality of Experience
Keeping our users happy requires new releases, extensive problem-solving, and they both need to happen quickly and effectively. To measure user satisfaction (or, more precisely, its theoretical equivalent), we created the Quality of Experience metric... »
Delivering content the right way, Part I.
Selecting the right URL
Video on Demand (VOD) platforms usually support a wide range of devices. Despite the attempts to unify streaming protocols, DRMs, and other parts of the tech stack, it’s almost impossible to have only one playlist/manifest that fits everyone. The... »
Machine Learning basic principles, Part II
Data science and the whole ML workflow The first part of our machine learning series was all about helping you understand some basic machine learning (ML) concepts and jargon (read it here). This post builds on it, and goes a bit deeper in its explanations... »
Machine Learning basic principles, Part I
We are very enthusiastic about machine learning (ML) here at Showmax. We have a solid amount of internal knowledge on the topic, and we’re constantly learning more. Recently, we implemented our first ML model — it measures our own Happiness metric... »
Monitoring PostgreSQL with a modern software stack
Intended audience: Beginner to intermediate Last February, Roman Fiser, Showmax Head of Infrastructure, gave a presentation at the P2D2 conference - “Monitoring PostgreSQL - monitoring with a modern tech stack”. We’ve decided to make the presentation... »
Showmax customers' happiness matters
Machine Learning model focused on outcomes When starting with machine learning (ML) in any organization, it’s good to begin with something tangible. Here at Showmax we really care about our customers, and we don’t want to lose a single one of them... »