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Event Streaming
Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices
So far in this series, we have recognized that by going back to first principles, we have a new foundation to work with. Event-first thinking enables us to build a […]
Spring for Apache Kafka Deep Dive – Part 2: Apache Kafka and Spring Cloud Stream
On the heels of part 1 in this blog series, Spring for Apache Kafka – Part 1: Error Handling, Message Conversion and Transaction Support, here in part 2 we’ll focus […]
Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless
With serverless being all the rage, it brings with it a tidal change of innovation. Given that it is at a relatively early stage, developers are still trying to grok […]
Improving Stream Data Quality with Protobuf Schema Validation
The requirements for fast and reliable data pipelines are growing quickly at Deliveroo as the business continues to grow and innovate. We have delivered an event streaming platform which gives […]
Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture
Part 1 of our series on event-driven architecture discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares […]
Event Driven 2.0
In the future, data will be as automated and self-service as infrastructure is today. You’ll open a console that lists the data available in your company; define the pieces you […]
Is Event Streaming the New Big Thing for Finance?
While Silicon Valley is always awash with new technology buzzwords, one that has become increasingly dominant in recent years is stream processing: a type of software designed to transport, process […]
The State of Streams – A European Adventure
I have good news to share! For the first time, this October Confluent will bring to Europe two events dedicated to streaming technology: Confluent Streaming Event in Munich and Confluent […]
Rounding Up Kafka Summit London 2018
It has only been two weeks since the inaugural Kafka Summit London, and I’m sure many of you who attended are still internalizing what you learned there. But what about […]
Level Up Your KSQL
Now that KSQL is available for production use as a part of the Confluent Platform, it has never been easier to run the open-source streaming SQL engine for Apache Kafka®. […]
Introducing the Confluent Operator: Apache Kafka on Kubernetes Made Simple
At Confluent, our mission is to put a Streaming Platform at the heart of every digital company in the world. This means, making it easy to deploy and use Apache […]
KSQL in Action: Real-Time Streaming ETL from Oracle Transactional Data
In this post I’m going to show what streaming ETL looks like in practice. We’re replacing batch extracts with event streams, and batch transformation with in-flight transformation. But first, a […]
Apache Mesos, Apache Kafka and Kafka Streams for Highly Scalable Microservices
Apache Kafka and Apache Mesos are very well-known and successful Apache projects. A lot has happened in these projects since Confluent’s last blog post on the topic in July 2015. […]
Building a Microservices Ecosystem with Kafka Streams and KSQL
Today, we invariably operate in ecosystems: groups of applications and services which together work towards some higher level business goal. When we make these systems event-driven they come with a […]