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Podcast: Software Engineering Daily
Episode: Decodable Streaming with Eric Sammer
Description: Streaming data platforms like Kafka, Pulsar, and Kinesis are now common in mainstream enterprise architectures, providing low-latency real-time messaging for analytics and applications. However, stream processing - the act of filtering, transforming, or analyzing the data inside the messages - is still an exercise left to the receiving microservice or datastore, a custom programming exercise likely repeated over and over within an application. Stream processing tools such as Apache Flink and ksqlDB have been around for half a decade, but their complexity has hindered adoption. Decodable’s mission is to radically simplify processing on the stream with a SaaS pl...