Join us for an Apache Kafka meetup on Wednesday February 13th from 6:30pm, hosted by Codecentric in Berlin. The address, agenda and speaker information can be found below. See you there!
Agenda:
6:30pm: Doors open
6:30pm - 7:00pm: Networking
7:00pm - 7:45pm: Presentation #1: Title Apache Kafka: advice from the trenches or how to successfully fail!, Pere Urbon Bayes, Confluent
7:45pm - 8:30pm: Presentation #2: ATM Fraud Detection with Apache Kafka and KSQL, Robin Moffatt, Confluent
8:30pm - 9:00pm: Networking, Pizza and Drinks
Speaker 1:
Pere Urbon Bayes
Bio:
Pere is a Technology Architect for Confluent out of Berlin, Germany. He has been working with data and architecting systems for more than 15 years as a freelance engineer and consultant. In that role he was focused on data processing and search, helping companies build reliable and scalable data architectures. His work sits usually at the crossroad of infrastructure, data engineers and scientists, ontologist and product. Prior to that he was part of Elastic, the company behind Elasticsearch, where he was part of the Logstash team, helping companies build reliable ingestion pipelines into Elasticsearch. When not working, Pere loves to spend time with his lovely wife and kids and to train for a good long distance race or duathlon.
Title:
Apache Kafka: advice from the trenches or how to successfully fail!
Abstract:
Operating a complex distributed system such as Apache Kafka could be a lot of work, so many moving parts need to be understood when something wrong happens. With brokers, partitions, leaders, consumers, producers, offsets, consumer groups, etc, and security, managing Apache Kafka can be challenging.
From managing consistency, numbers of partitions, understanding under replicated partitions, to the challenges of setting up security, and others, in this talk we will review common issues, and mitigation strategies, seen from the trenches helping teams around the globe with their Kafka infrastructure.
By the end of this talk you will have a collection of strategies to detect and prevent common issues with Apache Kafka, in a nutshell more peace and nights of sleep for you, more happiness for your users, the best case scenario.
