Confluent

MAY 29, 2019

In part 1 , we discussed an event streaming architecture that we implemented for a customer using Apache Kafka ® , KSQL from Confluent, and Kafka Streams. Now in part 2, we’ll discuss the challenges we faced developing, building, and deploying the KSQL portion of our application and how we used Gradle to address them. KSQL primer.

Groups 95

Groups Windows Testing Microservices 95

Confluent

FEBRUARY 27, 2019

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.

Serverless 109

Serverless Lambda AWS Systems Review 109

Confluent

SEPTEMBER 20, 2019

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.

Software Review 21

Software Review Technical Review Storage Cloud 21

Confluent

OCTOBER 24, 2019

I’ve written an event sourcing bank simulation in Clojure (a lisp build for Java virtual machines or JVMs) called open-bank-mark , which you are welcome to read about in my previous blog post explaining the story behind this open source example. This way, you can use the Avro serializers from Confluent.

Banking 18

Banking Software Review Testing Applications 18