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Deploying Kafka Streams and KSQL with Gradle – Part 2: Managing KSQL Implementations

Confluent

In part 1 , we discussed an event streaming architecture that we implemented for a customer using Apache Kafka ® , KSQL from Confluent, and Kafka Streams. We selected Gradle as our build tool, and wrote a custom Gradle plugin called gradle-confluent to structure and enable this methodology. gradlew composeUp. KSQL primer.

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Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless

Confluent

This is important as each platform has different persistence models and APIs, tying you to that vendor’s ecosystem. You can read more about CloudEvents in part 1 of this blog series. High (cold 5 s), (hot 100 ms). Peeking Behind the Curtains of Serverless Platforms, 2018. Event-first FaaS. Native stream processing.

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The Rise of Managed Services for Apache Kafka

Confluent

Luckily for on-premises scenarios, a myriad of deployment options are available, such as the Confluent Platform which can be deployed on bare metal, virtual machines, containers, etc. Cloud Memorystore, Amazon ElastiCache, and Azure Cache), applying this concept to a distributed streaming platform is fairly new.