Level Up Your Kafka Skills in Just 5 Days | Join Season of Streaming

eBook

The Data Streaming Revolution: Rise of the Kafka Heroes

Read the Comic Book

Land Hub-Featured

A captivating comic that will ignite the imagination of developers and technical architects interested in Kafka and event-driven architectures

Shoe retail titan NewLimits relies on a jumble of homegrown ETL pipelines and batch-based data systems. As a result, sluggish and inefficient data transfers are frustrating internal teams and holding back the company’s development velocity and data quality.

NewLimits developer Ada and architect Jax are eager to put the days of daily batch jobs, frequent failures, and inconsistent data sources behind them. When their lead unexpectedly assigns them a new project focused on developing real-time data streaming capabilities, Ada and Jax must decide, will they listen to the cautionary advice of senior developer Pat or embrace the unknown with their intrepid guide Iris?

As Ada and Jax venture through Batchland – a stagnant, inefficient world representative of NewLimits’ current state, they are guided by Iris, a master of data streaming. Together, they discover how Apache Kafka® and Confluent hold the keys for unlocking real-time capabilities for NewLimits. They must now embark on a race against time to build a proof-of-concept, before the Batch Gang tries to sabotage their plans.

Interested in joining the Data Streaming Revolution? Sign Up to Read!

Additional Resources

cc demo

Confluent Cloud Demo

Join us for a live demo of Confluent Cloud, the industry’s only fully managed, cloud-native event streaming platform powered by Apache Kafka
kafka microservices

Kafka Microservices

In this online talk series, learn key concepts, use cases and best practices to harness the power of real-time streams for microservices architectures
Image-Event-Driven Microservices-01

e-book: Microservices Customer Stories

See how five organizations across a wide range of industries leveraged Confluent to build a new class of event-driven microservices