Apache Kafka was created to ingest large amounts of event data with low-latency ingestion. Which is great, but most of us don't have these requirements. However, it gave us another way to think about how we can solve our problems by popularizing data streaming. Kafka is the powerful technology behind many of today's products. The paradigm shift for most is learning to think about your data in terms of events first. We will go over some Kafka basics, some tools in the ecosystem, and some example architectures where Kafka can be used.