Jeremy Ber

Migrating between Apache Kafka clusters while ensuring minimal downtime can be challenging when replicating large amounts of data. This workshop demonstrates a proven method for building a resilient migration pipeline to move data from an Apache Kafka cluster to Amazon MSK.

In this workshop, build a system to analyze log events from a data stream and detect anomalies using generative AI and open source technologies, including Apache Kafka, Apache Flink, and OpenSearch.

In this chalk talk, review key details to keep in mind when migrating self-managed Apache Flink applications to Amazon Managed Service for Apache Flink. Explore how using cloud-based services with the right patterns can reduce operational overhead.

In this session, you will gain insights into the metrics that aid in interpreting the performance of your Apache Flink applications, techniques for identifying backpressure, examining application exceptions, and utilizing the Flame Graph feature on the Apache Flink web dashboard.

In this workshop, take on the role of a technology manager for a Las Vegas casino. Your assignment is to create a stream processing application that identifies customers entering your casino who have previously gambled with large sums of money and sends you a text message when big spenders sit down at a gaming table.

Large enterprises with many lines of business often face difficulties in syncing systems across the enterprise. Each system is owned by a different team, and data stores are often diverse.

When data comes into a streaming workload, it may be necessary to enrich it with external data sources like an external API, query to a database, or lookup from a key/value store like Redis.