Streaming Data Integration – Where Development Meets Deployment ft. James Urquhart

Streaming Data Integration – Where Development Meets Deployment ft. James Urquhart

Applications, development, deployment, and theory are all key pieces behind customer experience, event streaming, and improving systems and integration. James Urquhart (Global Field CTO, VMware) is writing a book combining Wardley Mapping and Promise Theory to evaluate the future of event streaming and how it will become a more economic choice for users. James argues that reducing the cost of integration does not deter people from buying but instead encourages creativity to find more us...

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Optimizing Apache JVMs for Apache Kafka

Optimizing Apache JVMs for Apache Kafka

Java Virtual Machines (JVMs) impact Apache Kafka® performance in production. How can you optimize your event-streaming architectures so they process more Kafka messages using the same number of JVMs? ...

13 Okt 20221h 11min

Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect Updates

Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect Updates

Apache Kafka® 3.3 is released! With over two years of development, KIP-833 marks KRaft as production ready for new AK 3.3 clusters only. On behalf of the Kafka community, Danica Fine (Senior Developer...

3 Okt 20226min

Application Data Streaming with Apache Kafka and Swim

Application Data Streaming with Apache Kafka and Swim

How do you set data applications in motion by running stateful business logic on streaming data? Capturing key stream processing events and cumulative statistics that necessitate real-time data assess...

3 Okt 202239min

International Podcast Day - Apache Kafka Edition | Streaming Audio Special

International Podcast Day - Apache Kafka Edition | Streaming Audio Special

What’s your favorite podcast? Would you like to find some new ones? In celebration of International Podcast Day, Kris Jenkins invites 12 experts from the Apache Kafka® community to talk about their fa...

30 Sep 20221h 2min

How to Build a Reactive Event Streaming App - Coding in Motion

How to Build a Reactive Event Streaming App - Coding in Motion

How do you build an event-driven application that can react to real-time data streams as they happen? Kris Jenkins (Senior Developer Advocate, Confluent) will be hosting another fun, hands-on programm...

20 Sep 20221min

Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka

Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka

Processing real-time event streams enables countless use cases big and small. With a day job designing and building highly available distributed data systems, Simon Aubury (Principal Data Engineer, Th...

15 Sep 202234min

Reddit Sentiment Analysis with Apache Kafka-Based Microservices

Reddit Sentiment Analysis with Apache Kafka-Based Microservices

How do you analyze Reddit sentiment with Apache Kafka® and microservices? Bringing the fresh perspective of someone who is both new to Kafka and the industry, Shufan Liu, nascent Developer Advocate at...

8 Sep 202235min

Capacity Planning Your Apache Kafka Cluster

Capacity Planning Your Apache Kafka Cluster

How do you plan Apache Kafka® capacity and Kafka Streams sizing for optimal performance? When Jason Bell (Principal Engineer, Dataworks and founder of Synthetica Data), begins to plan a Kafka cluster,...

30 Aug 20221h 1min

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