Join the Confluent leadership team as they share their vision of streaming data products enabled by a data streaming platform built around Apache Kafka. Jay Kreps, Co-creator of Apache Kafka and CEO of Confluent, will present his vision of unifying the operational and analytical worlds with data streams and showcase exciting new product capabilities. During this keynote, the winner and finalists of the $1M Data Streaming Startup Challenge will showcase how their use of data streaming is disrupting their categories.

Join Test Case Scenario with Scott McAllister, Developer Advocate at ngrok. Explore ngrok's innovative approach to securing and exposing local services online, aiding businesses like restaurants with seamless order integrations. Learn how ngrok differs from traditional VPNs, saving developers time while ensuring security through OAuth integration.

Advanced Security settings are now LIVE in the Databox app. From managing user access to tracking changes made within the account, these settings will make it easier for you to maintain compliance with internal security processes.

Stream processing plays a critical role in the infrastructure stack for data streaming. Developers can use it to filter, join, aggregate, and transform their data streams on the fly to power real-time applications and streaming data pipelines. Among stream processing frameworks, Apache Flink has emerged as the de facto standard because of its performance and rich feature set. However, self-managing Flink (like self-managing other open source tools like Kafka) can be challenging due to its operational complexity, steep learning curve, and high costs for in-house support.