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This is not NATS vs Kafka by any means – just jotting down some info. NATS recently joined CNCF (which host projects like Kubernetes, Prometheus etc. – look at the dominance of Golang here!) and that’s when it caught my attention … Continue reading
Here is a hello-world example (on Github) for getting started with natsio – a distributed messaging server written in Go It consists of the following components which are managed via Docker Compose NATS server (of course) a Java producer/publisher a Go consumer/subscriber … Continue reading
Here are the details for my talk @ Oracle Code (a track at JavaOne 2017) – Streaming Solutions for Real time problems (Stream Processing solutions using Apache Kafka, Kafka Streams and Redis) Code (Github) – https://github.com/abhirockzz/accs-ehcs-stream-processing Video Slides Streaming Solutions for … Continue reading
Debezium is an open source, distributed change data capture system built on top of Apache Kafka. I tried it out and the project is available on Github Setup Details are in the README. It uses the Debezium tutorial as a … Continue reading
For those who are interested in an example of Kafka working with the (Java EE) Websocket API, please check out this blog . There is an associated Github project as well Cheers!
There are only a few possible ways to specify partitions while using the Kafka Producer API Just specify it in the ProducerRecord itself If key is not null, (by default) Kafka will hash your key and calculate the partition If key … Continue reading
This blog explores some common aspects of state stores in Kafka Streams… Default state store By default, Kafka Streams uses the RocksDB as it’s default state store In-memory or persistent ? This parameter of the state store is configurable. RocksDB can … Continue reading
Here is another example of a Kafka Streams based application.. this time, it’s about running it in Docker containers – spawn more containers to distribute the processing load. More details in the README Cheers!
A Kafka Streams sample application is available on Github… This is a microservice (packaged in form of an Uber JAR) which uses the Kafka Streams Processor (low level) API to calculate the Cumulative Moving Average of the CPU metrics of each machine … Continue reading
If you use the groupByKey function on a KStream without specifying a Serdes, the (one configured in the StreamsConfig will be used by default e.g. in the below snippet, it’s Serdes.String(). As a result, you will face a ClassCastExcpetion in case you execute … Continue reading