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5 Key Takeaways from #Current2023

Cloudera

Recently, Confluent hosted Current 2023 (formerly Kafka summit) in San Jose on Sept 26th and 27th. With few conferences curating content specific to streaming developers, Current has historically been an important event for anyone trying to keep a pulse on what’s happening in the streaming space.

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Optimizing Kafka Streams Applications

Confluent

Kafka Streams introduced the processor topology optimization framework at the Kafka Streams DSL layer. This framework opens the door for various optimization techniques from the existing data stream management system (DSMS) and data stream processing literature. Kafka Streams topology generation 101.

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Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless

Confluent

FaaS functions only solve the compute part, but where is data stored and managed, and how is it accessed? What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless? FaaS for streaming processing. FaaS as part of the event-driven streaming architecture. What is FaaS?

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Using Graph Processing for Kafka Stream Visualizations

Confluent

We know that Apache Kafka ® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables. Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. You can use this as an example of how to add graph abilities to any event streaming application.

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Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices

Confluent

Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement.

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Internet of Things (IoT) and Event Streaming at Scale with Apache Kafka and MQTT

Confluent

A key challenge, however, is integrating devices and machines to process the data in real time and at scale. Apache Kafka ® and its surrounding ecosystem, which includes Kafka Connect, Kafka Streams, and KSQL, have become the technology of choice for integrating and processing these kinds of datasets. Example: Audi.

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Confluent Cloud Schema Registry is Now Generally Available

Confluent

We are excited to announce the release of Confluent Cloud Schema Registry in general availability (GA), available in Confluent Cloud , our fully managed event streaming service based on Apache Kafka ®. Before we dive into Confluent Cloud Schema Registry, let’s recap what Confluent Schema Registry is and does.

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