Real-Time Event Distribution with Data Mesh

Real-Time Event Distribution with Data Mesh

Inheriting software in the banking sector can be challenging. Perhaps the only thing harder is inheriting software built by a committee of banks. How do you keep it running, while improving it, refactoring it, and planning a bigger future for it? In this episode, Jean-Francois Garet (Technical Architect, Symphony) shares his experience at Symphony as he helps it evolve from an inherited, monolithic, single-tenant architecture to an event mesh for seamless event-streaming microservices. He tal...

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Tips For Writing Abstracts and Speaking at Conferences

Tips For Writing Abstracts and Speaking at Conferences

A well-written abstract is your ticket to conferences, but how do you write an excellent synopsis that will get accepted? As an experienced conference speaker, Robin Moffatt (Principal Developer Advoc...

16 Kesä 202248min

How I Became a Developer Advocate

How I Became a Developer Advocate

What is a developer advocate and how do you become one? In this episode, we have seasoned developer advocates, Kris Jenkins (Senior Developer Advocate, Confluent) and Danica Fine (Senior Developer Adv...

9 Kesä 202229min

Data Mesh Architecture: A Modern Distributed Data Model

Data Mesh Architecture: A Modern Distributed Data Model

Data mesh isn’t software you can download and install, so how do you build a data mesh? In this episode, Adam Bellemare (Staff Technologist, Office of the CTO, Confluent) discusses his data mesh proof...

2 Kesä 202248min

Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools

Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools

Stream processing can be hard or easy depending on the approach you take, and the tools you choose. This sentiment is at the heart of the discussion with Matthias J. Sax (Apache Kafka® PMC member; Sof...

26 Touko 202255min

Practical Data Pipeline: Build a Plant Monitoring System with ksqlDB

Practical Data Pipeline: Build a Plant Monitoring System with ksqlDB

Apache Kafka® isn’t just for day jobs according to Danica Fine (Senior Developer Advocate, Confluent). It can be used to make life easier at home, too! Building out a practical Apache Kafka® data pipe...

19 Touko 202233min

Apache Kafka 3.2 - New Features & Improvements

Apache Kafka 3.2 - New Features & Improvements

Apache Kafka® 3.2 delivers new KIPs in three different areas of the Kafka ecosystem: Kafka Core, Kafka Streams, and Kafka Connect. On behalf of the Kafka community, Danica Fine (Senior Developer Advo...

17 Touko 20226min

Scaling Apache Kafka Clusters on Confluent Cloud ft. Ajit Yagaty and Aashish Kohli

Scaling Apache Kafka Clusters on Confluent Cloud ft. Ajit Yagaty and Aashish Kohli

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 cl...

11 Touko 202249min

Streaming Analytics on 50M Events Per Day with Confluent Cloud at Picnic

Streaming Analytics on 50M Events Per Day with Confluent Cloud at Picnic

What are useful practices for migrating a system to Apache Kafka® and Confluent Cloud, and why use Confluent to modernize your architecture?Dima Kalashnikov (Technical Lead, Picnic Technologies) is pa...

5 Touko 202234min

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