Join Kris Jenkins and guests from the community as they discuss the latest Apache Kafka® news, use cases, and trends spanning the topics of data streaming, microservices, modern IT architectures, and the cloud.
How much can Apache Kafka scale horizontally, and how can you automatically balance, or rebalance data to ensure optimal performance? You may require the flexibility to scale or shrink your Kafka clusters based on demand. With experience engineering cluster elasticity and capacity management features for cloud-native Kafka, Ajit Yagaty (Confluent Cloud Control Plane Engineering) and Aashish Kohli (Confluent Cloud Product Management) join Kris Jenkins in this episode to explain how the architecture of Confluent Cloud supports elasticity.
What are useful practices for migrating a system to Apache Kafka and Confluent Cloud? Picnic, an online-only, European grocery store that processes around 45 million customer events and five million internal events daily. An underlying goal at Picnic is to try and make decisions as data-driven as possible. In this episode, Dima Kalashnikov (Technical Lead, Picnic Technologies) shares several reasons for their recent migration to Confluent Cloud for better data analytics.
Coding is inherently enjoyable and experimental. With the goal of bringing fun into programming, Kris Jenkins (Senior Developer Advocate, Confluent) hosts a new series of hands-on workshops—Coding in Motion, to teach you how to use Apache Kafka and data streaming technologies for real-life use cases.
You already know Apache Kafka is a distributed event streaming system for setting your data in motion, but how does its internal architecture work? No one can explain the internal architecture better than Jun Rao, one of the original Apache Kafka Creators and Co-Founder of Confluent. Jun has an in-depth understanding of Kafka that few others can claim—and he shares that with us in this episode, and in his new Kafka Internals course on Confluent Developer.
In this episode, Bobby Calderwood, founder of Evident Systems and creator of oNote explains event modeling—a converse approach to the reductive data model system. Event model system is enabled by tools like Apache Kafka, which effectively saves every bit of activity generated by the data system.
Kris Jenkins is a senior developer advocate for Confluent, a veteran contractor, and former CTO and co-founder of a gold-trading business. He's especially interested in software design, functional programming, real-time systems, and electronic music.
If there's something you want to know about Apache Kafka, Confluent or event streaming, please send us an email with your question and we'll hope to answer it on the next episode of Ask Confluent.Email Us