Introducing Derivative Event Sourcing
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 […]
Using Graph Processing for Kafka Stream Visualizations
We know that Apache Kafka® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables. Stream processing engines like KSQL furthermore give you the […]
Announcing Tutorials for Apache Kafka
We’re excited to announce Tutorials for Apache Kafka®, a new area of our website for learning event streaming. Kafka Tutorials is a collection of common event streaming use cases, with […]
Building Shared State Microservices for Distributed Systems Using Kafka Streams
The Kafka Streams API boasts a number of capabilities that make it well suited for maintaining the global state of a distributed system. At Imperva, we took advantage of Kafka […]
Fault Tolerance in Distributed Systems: Tracing with Apache Kafka and Jaeger
Using Jaeger tracing, I’ve been able to answer an important question that nearly every Apache Kafka® project that I’ve worked on posed: how is data flowing through my distributed system? […]
Bust the Burglars – Machine Learning with TensorFlow and Apache Kafka
Have you ever realized that, according to the latest FBI report, more than 80% of all crimes are property crimes, such as burglaries? And that the FBI clearance figures indicate […]
Deploying Kafka Streams and KSQL with Gradle – Part 3: KSQL User-Defined Functions and Kafka Streams
Building off part 1 where we discussed an event streaming architecture that we implemented for a customer using Apache Kafka, KSQL, and Kafka Streams, and part 2 where we discussed […]
Spring for Apache Kafka Deep Dive – Part 4: Continuous Delivery of Event Streaming Pipelines
For event streaming application developers, it is important to continuously update the streaming pipeline based on the need for changes in the individual applications in the pipeline. It is also […]
Reliable, Fast Access to On-Chain Data Insights
At TokenAnalyst, we are building the core infrastructure to integrate, clean, and analyze blockchain data. Data on a blockchain is also known as on-chain data. We offer both historical and […]
Spring for Apache Kafka Deep Dive – Part 3: Apache Kafka and Spring Cloud Data Flow
Following part 1 and part 2 of the Spring for Apache Kafka Deep Dive blog series, here in part 3 we will discuss another project from the Spring team: Spring […]