Kafka & Spark data pipelines are ubiquitous in any modern data stack. Developing Spark and Kafka applications have become simpler over the years but operating them in production environments still remains challenging to say the least.

Join Chris Santiago of Unravel Data to learn how to troubleshoot the root cause of why these real-time applications lag or fail. He will share how Unravel provides a single pane of glass to easily see & fix problems such as; poor data partitioning, load imbalance; resource exhaustion or suboptimal configurations. Chris will also share how you can automatically tune and optimize these for cost and performance.