Event Streaming Trends and Predictions for 2021 ft. Gwen Shapira, Ben Stopford, and Michael Noll

Event Streaming Trends and Predictions for 2021 ft. Gwen Shapira, Ben Stopford, and Michael Noll

Coming out of a whirlwind year for the event streaming world, Tim Berglund sits down with Gwen Shapira (Engineering Leader, Confluent), Ben Stopford (Senior Director, Office of the CTO, Confluent), and Michael Noll (Principal Technologist, Office of the CTO, Confluent) to take a guess at what 2021 will bring. The experts share what they believe will happen for analytics, frameworks, multi-cloud services, stream processing, and other topics important to the event streaming space. These A...

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Confluent Platform 7.1: New Features + Updates

Confluent Platform 7.1: New Features + Updates

Confluent Platform 7.1 expands upon its already innovative features, adding improvements in key areas that benefit data consistency, allow for increased speed and scale, and enhance resilience and rel...

12 Huhti 202210min

Scaling an Apache Kafka Based Architecture at Therapie Clinic

Scaling an Apache Kafka Based Architecture at Therapie Clinic

Scaling Apache Kafka® can be tricky, let alone scaling a team. When he was first hired, Domenico Fioravanti of Therapie Clinic was given the challenging task of assembling a sizable tech team from scr...

7 Huhti 20221h 10min

Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard Klijs

Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard Klijs

What is GraphQL? And how can you combine GraphQL with Apache Kafka® to query data in real time? With over 10 years of experience as a backend engineer, Gerard Klijs is a Confluent Community Catalyst, ...

29 Maalis 202223min

Building Real-Time Data Governance at Scale with Apache Kafka ft. Tushar Thole

Building Real-Time Data Governance at Scale with Apache Kafka ft. Tushar Thole

Data availability, usability, integrity, and security are words that we sometimes hear a lot. But what do they actually look like when put into practice? That’s where data governance comes in. This be...

22 Maalis 202242min

Handling 2 Million Apache Kafka Messages Per Second at Honeycomb

Handling 2 Million Apache Kafka Messages Per Second at Honeycomb

How many messages can Apache Kafka® process per second? At Honeycomb, it's easily over one million messages. In this episode, get a taste of how Honeycomb uses Kafka on massive scale. Liz Fong-Jon...

15 Maalis 202241min

Why Data Mesh? ft. Ben Stopford

Why Data Mesh? ft. Ben Stopford

With experience in data infrastructure and distributed data technologies, author of the book “Designing Event-Driven Systems” Ben Stopford (Lead Technologist, Office of the CTO, Confluent) explains th...

10 Maalis 202244min

Serverless Stream Processing with Apache Kafka ft. Bill Bejeck

Serverless Stream Processing with Apache Kafka ft. Bill Bejeck

What is serverless? Having worked as a software engineer for over 15 years and as a regular contributor to Kafka Streams, Bill Bejeck (Integration Architect, Confluent) is an Apache Kafka® committer a...

3 Maalis 202242min

The Evolution of Apache Kafka: From In-House Infrastructure to Managed Cloud Service ft. Jay Kreps

The Evolution of Apache Kafka: From In-House Infrastructure to Managed Cloud Service ft. Jay Kreps

When it comes to Apache Kafka®, there’s no one better to tell the story than Jay Kreps (Co-Founder and CEO, Confluent), one of the original creators of Kafka. In this episode, he talks about the evolu...

24 Helmi 202246min

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