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Change data capture is a popular method to connect database tables to data streams, but it comes with drawbacks. The next evolution of the CDC pattern, first-class data products, provide resilient pipelines that support both real-time and batch processing while isolating upstream systems...
Learn how the latest innovations in Kora enable us to introduce new Confluent Cloud Freight clusters, which can save you up to 90% at GBps+ scale. Confluent Cloud Freight clusters are now available in Early Access.
Learn how to contribute to open source Apache Kafka by writing Kafka Improvement Proposals (KIPs) that solve problems and add features! Read on for real examples.
I’ve always found event sourcing to be fascinating. We spend so much of our lives as developers saving data in database tables—doing this in a completely different way seems almost […]
Data is the lifeblood of so much of what we build as software professionals, so it’s unsurprising that operations involving its transfer occupy the vast majority of developer time across […]
On a recent episode of Streaming Audio, Gwen Shapira, Michael Noll, and Ben Stopford joined me to hold forth about the near future of Apache Kafka® and software architecture in […]
First, what is event sourcing? Here’s an example. Consider your bank account: viewing it online, the first thing you notice is often the current balance. How many of us drill […]
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 […]
When should you use an API? When should you use an event? Most contemporary software architectures are some mix of these two approaches. I will attempt to articulate in layman’s […]
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 […]
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 […]
The world is changing. New problems need to be solved. Companies now run global businesses that span the globe and hop between clouds in real-time, breaking down data silos to […]
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 […]
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 […]
This post discusses Event Sourcing in the context of Apache Kafka®, examining the need for a single source of truth that spans entire service estates. Events are Truth One of […]
In his book Design Patterns Explained, Alan Shalloway compares his car to an umbrella. After all, he uses both to stay dry in the rain. The umbrella has an advantage […]
For many, microservices are built on a protocol of requests and responses. REST etc. This approach is very natural. It is after all the way we write programs: we make […]