Project Metamorphosis : dévoilement de la plateforme de streaming d'événements nouvelle générationEn savoir plus
Ticketmaster

Ticketmaster tire profit de Confluent pour réduire la friction lors de la phase du développement et stimuler l'apprentissage automatique

With over 500 million tickets sold each year, Ticketmaster is dedicated to connecting fans around the globe to their favorite teams, artists, and events — helping create memories that will last a lifetime.

After 40 years of continuous innovation and technology advancements, Ticketmaster faced hundreds of software systems and components that interacted with each other in different ways and added tons of friction to software development. In an effort to migrate to a microservices architecture as part of a DevOps transformation, Ticketmaster chose Confluent and Apache Kafka to centralize data from all of its systems and enable even faster innovation.

In addition, Ticketmaster is incorporating machine learning to prioritize ordinary customers over users who fraudulently abuse the system by getting priority access to tickets and then reselling them at a higher price. Having a holistic view of all customer activity has enabled Ticketmaster to build machine learning models that combat this type of abuse and react quickly when the malicious users change their strategy.

Défis

Hundreds of software components needed to be centralized in order to reduce development friction and unlock more opportunities for innovation.

Solution

Confluent Platform is the one place that data flows through with abstraction and protection from single points of failure.

Résultats

  • Faster innovation and iteration
  • Rolling out new technologies more quickly
  • Better forecasting

Chris Smith

VP of Engineering Data Science
Ticketmaster

Fans care about what seats are still available, how much do they cost, and what packages they can get with the tickets. And the venue wants to know who’s buying the tickets, are we having problems converting people, do we need to change the offering, or do we need to put another tour date on the calendar because this one is super popular. These are all different ways of looking at the same data. So we put all of this into an inventory stream which gets placed in a different data store for the various uses of that data. Confluent and Kafka have allowed us to get to the position where it’s now fairly low-friction for the data science team to roll out new capabilities with our data.

Ressources

Ticketmaster unifies DevOps monitoring with Confluent Kafka

Introduction à KSQL et traitement de Kafka Streams avec Ticketmaster

Plus de témoignages de clients

8x8

8×8 Powers Real-Time Contact Center Analytics with Confluent.

AO.com

AO.com Delivers a Hyper-Personalized Retail Experience for Its Customers with Confluent.

Alight Solutions

Découvrez comment un important prestataire d'administration des avantages sociaux et de solutions RH et financières basées sur le cloud a récemment lancé une initiative visant à aligner l'organisation interne de l'entreprise avec sa stratégie numérique de nouvelle génération.