Participate in the State of Distributed Systems Survey | Take Survey

Understanding Apache Kafka P99 Latency at Scale

Apache Kafka is a highly popular distributed system used by many organizations to connect systems, build microservices, create data mesh, etc. However, as a distributed system, understanding its performance could be a challenge, so many moving parts exist. In this talk, we are going to review the key moving parts (producers, consumers, replication, network, etc), a strategy to measure and interpret the performance results for consumers and producers and a general guideline for deciding about performance in Apache Kafka. An attendee will take home after the talk a proven method to measure, evaluate and optimize the performance of an Apache Kafka based infrastructure. A key skill for low throughput users, but especially for the biggest scale deployments.
21 Minutes
Share on facebook
Share on twitter
Share on email
Share on linkedin
Share on facebook
Share on twitter
Share on email
Share on linkedin
Pere Urbón-Bayes

Pere Urbón-Bayes, Senior Solutions Architect at Confluent

Pere is a Solution 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, build Legos and enjoy Handball.

P99 CONF OCT. 6-7, 2021

REGISTER FOR YOUR FREE TICKET