Couchbase and Kafka are both technologies that address high throughput, distributed data management challenges. In fact, they are often deployed together, each one solving a particular need. In this session we’ll explore how Couchbase and Kafka complement each other and examine some real-world use case architectures.
Additionally, you’ll hear directly from the folks that built Kafka, Confluent.io. Since being open sourced, Apache Kafka has been widely adopted by organizations ranging from web companies like Uber, Netflix, and LinkedIn to more traditional enterprises like Cerner, Goldman Sachs, and Cisco. These companies use Kafka in a variety of ways: 1) as a pipeline for collecting high-volume log data to load into Hadoop, 2) as a means of collecting operational metrics to feed monitoring/alerting applications, 3) for low-latency messaging use cases, and 4) to power near real-time stream processing. In this talk you will hear how companies are using Apache Kafka, learn how its unique architecture enables it to be used for both real-time processing and as a bus for feeding batch systems like Hadoop, and explore where it fits in the Big Data ecosystem.