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We’re going to setup a Kafka cluster using confluent.io, create a producer and consumer as well as enhance our behavior driven tests to include the new interface. We’re going to update our helm chart so that the updates are seamless to Kubernetes and we’re going to leverage our observability stack to propagate the traces in the published messages. Source: about 2 years ago
Akka Platform includes Akka Cloud Platform for AWS and GCP (with Azure coming soon) and Akka Data Pipelines. Together, you get the full power of Akka reactive microservices frameworks and streaming Data pipelines to run on-premise or in the cloud. - Source: dev.to / almost 3 years ago
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
Apache Storm - Apache Storm is a free and open source distributed realtime computation system.
Spark Streaming - Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
Tigon - Tigon is an open source real-time stream processing framework built on top of Apache Hadoop and Apache HBase.