Mistakes were made, but not by us: Lessons from a year of supporting Apache Kafka
Dustin Cote shares his experience troubleshooting Apache Kafka in production environments and explains how to avoid pitfalls like message loss or performance degradation in your environment.
| Talk Title | Mistakes were made, but not by us: Lessons from a year of supporting Apache Kafka |
| Speakers | Dustin Cote (Confluent) |
| Conference | Strata Data Conference |
| Conf Tag | Make Data Work |
| Location | New York, New York |
| Date | September 26-28, 2017 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
The number of deployments of Apache Kafka at enterprise scale has greatly increased in the years since Kafka’s original development in 2010. Along with this rapid growth has come a wide variety of use cases and deployment strategies that transcend what Kafka’s creators imagined when they originally developed the technology. As the scope and reach of streaming data platforms based on Apache Kafka has grown, the need to understand monitoring and troubleshooting strategies has as well. Dustin Cote shares his experience supporting Apache Kafka at enterprise-scale and explores monitoring and troubleshooting techniques to help you avoid pitfalls when scaling large-scale Kafka deployments. Topics include:
