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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!
Here is a blog I posted on the Oracle Cloud Developer Solutions portal. This is the first of a two-part series which shows asynchronous messaging b/w microservices with the help of a simple example (application) Technical components Oracle Cloud Oracle Compute … Continue reading
Partitions are the key to scalability attributes of Kafka. Developers can also implement custom partitioning algorithm to override the default partition assignment behavior. This post will briefly cover Partitions in general Data distribution, default partitioning, and Example of custom partitioning … Continue reading
This blog post will cover Apache Kafka consumers and demonstrate how they are designed for distributed, scale-out architectures. It assumes you have some idea about Kafka in general. We will mainly look at Kafka Consumers groups, and dive into the … Continue reading