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¿Y si lo escuchas mientras vas al trabajo o te pones en forma?: https://www.ivoox.com/45640211 ------------- It's 2019. Teams are independent and we don't have a monolith anymore. We were told that with microservices we could keep our core functionality working while less important parts of the system are slow or even down. The problem is: designing distributed systems is not an easy task. The network is unreliable, services fail and there are lots of moving parts. At FREE NOW, being able to resist partial failure is an essential requirement. We need to ensure that our customers have a smooth user experience, getting a taxi home or running into the airport, even when things go wrong in our system. FREE NOW's platform depends on ~250 services that might fail at any time. This talk is focused on how we achieve fault-tolerance and what we learned during this journey. I will discuss resilience techniques that we use and how they can be useful to your business as well. Idempotence, retries, health checks, rate limiting, bulkhead and circuit breaking concepts, together with some real-world examples are on the agenda. ------------- Todos los vídeos de Commitconf 2019 en: https://lk.autentia.com/Commit19-YouTube ¡Conoce Autentia! Twitter: https://goo.gl/MU5pUQ Instagram: https://lk.autentia.com/instagram LinkedIn: https://goo.gl/2On7Fj/ Facebook: https://goo.gl/o8HrWX

The Artificial Vision area seeks to introduce this technology to everyone involved in the technological field. In particular, the stages that a company’s process had to go through are described until it reaches the optimum point for the transition to an AI. At this point, a parallel approach is made to explain how a data scientist can perform a feature engineering task but this time it is applied to the world of imaging. After covering these initial points, a deeper focus will be exposed in a case of use of detection and classification of defects applied in several industries (energy, industry 4.0, insurance). #BIGTH19 #AI #MachineLearning Session presented at Big Things Conference 2019 by David López Recio, AI Project Manager at Minsait. 20th November 2019 Kinépolis, Madrid Do you want to know more? https://www.bigthingsconference.com/

How does the visual representation of the world is structured by the brain? How could it be useful to react adaptively to new situations and scenarios? What if an autonomous system could learn that behavior? Recent Computer Vision and Deep Learning techniques enable the possibility to solve complex visual problems. One desirable property for most applications is the dynamic adaptation ability of the system to unknown contexts. This ability could be useful in a software production environment, where the data dynamics are business and human behavior dependent, providing flexibility while keeping robustness. This concept upgrades a trainable solution to a self-adaptive solution that we will go through during this talk. #BIGTH19 #AI #ComputerVision #DeepLearning Session presented at Big Things Conference 2019 by Javier Martínez Cebrián, Deep Learning & AI Specialist at BBVA Next Technologies, and Miguel Ángel Fernández, Assistant Professor and Researcher at Carlos III University. 20th November 2019 Kinépolis, Madrid Do you want to know more? https://www.bigthingsconference.com/

In this talk, Carlos Herrera will start describing the phases of a Data & Research project within Cabify, and how the different roles play together across each of them. First we will see Problem Dimensioning, which starts with more or less anecdotal evidence and finishes when we have rigorously estimated the size of the problem or opportunity. If the dimensioning points to a high impact possible solution, we go to Model Prototyping, where we aim to find the simplest possible model that solves the problem to the extent we are aiming for. This phase typically includes some testing, either against cold data from the archive or real time listening to the marketplace but avoiding to affect a user, so we can take bigger risks. If a viable model is found, next phase is Industrialisation when go full engineering mode to make sure we build a fully monitored, cost efficient, highly scalable, highly reliable solution able to cope with our always growing volumes. At last we have the Inference phase, where we aim to establish a causal relationship between the improvement we are deploying and some measurable experience of our drivers, riders and companies. #BIGTH19 #BigData #Cloud #MachineLearning Session presented at Big Things Conference 2019 by Carlos Herrera, VP of Data & Research at Cabify. 20th November 2019 Kinépolis, Madrid Do you want to know more? https://www.bigthingsconference.com/

Su charla completa sobre este tema: https://youtu.be/H37LuAeBGiA ------------- 1. 15 minutos, un microservicio, !Qué fácil parece! ¿Cuáles crees que deberían ser los siguientes pasos que tiene que dar una persona que quiere saber más del tema de los microservicios? 2. ¿Qué crees que es importante y no te ha dado tiempo a contar? ------------- Todos los vídeos de WTMZ 2019 en: https://lk.autentia.com/WTMZ-YouTube ¡Conoce Autentia! Twitter: https://goo.gl/MU5pUQ Instagram: https://lk.autentia.com/instagram LinkedIn: https://goo.gl/2On7Fj/ Facebook: https://goo.gl/o8HrWX

¿Y si lo escuchas mientras vas al trabajo o te pones en forma?: https://www.ivoox.com/45640089 ------------- En 2015 tuve el privilegio de dar esta charla en varias ocasiones en Madrid, e incluso una versión resumida en Bruselas. El panorama ha cambiado desde entonces y algunos amigos me han animado a que actualice el contenido a 2019. Es habitual ver comparativas de lenguajes de programación por su tipología o sintaxis, por su puesto actual en TIOBE, por el nº de proyectos en Github, por puestos de trabajo ofertados, por salario medio... En esta charla nos centraremos en compararlos por el modelo legal, ético y estético tanto de su gobernanza como de su comunidad. Analizaremos los principales lenguajes: Java, JavaScript, Python, Go, Ruby, Groovy, Kotlin, PHP, Clojure, y quizá algún otro. ¿Qué fortalezas y riesgos tiene cada uno? ¿Quién marca el ritmo? ¿Quién prioriza? ¿Quién desarrolla? En definitiva, ¿quién manda en cada lenguaje de programación? ------------- Todos los vídeos de Commitconf 2019 en: https://lk.autentia.com/Commit19-YouTube ¡Conoce Autentia! Twitter: https://goo.gl/MU5pUQ Instagram: https://lk.autentia.com/instagram LinkedIn: https://goo.gl/2On7Fj/ Facebook: https://goo.gl/o8HrWX

Eres frontend?? Alguna vez te has preguntado qué hay más allá del muro??? En esta sesión haremos un live coding de un pequeño microservicio que ofrecerá una API de interacción. Usaremos Spring boot y kotlin para conseguirlo! Anímate al reto de construir tu primer microservicio en 15 minutos. ------------- Todos los vídeos de WTMZ 2019 en: https://lk.autentia.com/WTMZ-YouTube ¡Conoce Autentia! Twitter: https://goo.gl/MU5pUQ Instagram: https://lk.autentia.com/instagram LinkedIn: https://goo.gl/2On7Fj/ Facebook: https://goo.gl/o8HrWX

La charla 'Desde el caos al Domain Driven Design en Go' en: https://youtu.be/_rpDmUzP_ZI 1- ¿DDD para todos? ¿Para quién sí y para quién no y por qué? 2- ¿Se puede hacer DDD sin expertos de dominio? Todos los vídeos de Barcelona Software Crafters 2019 en: https://lk.autentia.com/SCBCN19-YT ¡Conoce Autentia! Twitter: https://goo.gl/MU5pUQ Instagram: https://lk.autentia.com/instagram LinkedIn: https://goo.gl/2On7Fj/ Facebook: https://goo.gl/o8HrWX

Su charla '???? to the basics: Modelando nuestro dominio' en: https://youtu.be/2uV2CmTns9Q 1. ¿Cuáles son las mejores prácticas para definir el dominio? 2. ¿Podéis contarnos alguna batallita de las que habláis en vuestra charla? Todos los vídeos de Barcelona Software Crafters 2019 en: https://lk.autentia.com/SCBCN19-YT ¡Conoce Autentia! Twitter: https://goo.gl/MU5pUQ Instagram: https://lk.autentia.com/instagram LinkedIn: https://goo.gl/2On7Fj/ Facebook: https://goo.gl/o8HrWX

Over the past decade, we've seen frameworks bloom, die, be replaced and re-born. We've seen good practices, anti-patterns and generally styles of coding come and go. What's the takeaway from the last decade of framework development? Where are we going? What should we explore next? We'll look at a brief history of frameworks, at which practices emerged from the various communities, and which of them survived and evolved, as well as recommendations to keep pushing forward.