Using Streaming, Pipelining, and Parallelization to Build High Throughput Apps
Streaming, pipelining, and parallelization can be used to design applications to maximize the utilization of resources on a single node. Then, you can add …
Cloud Services for Event-Driven Architectures (EDAs)
The combination of Apache Kafka and Kubernetes helps developers create EDAs and real-time data pipelines that stream and integrate data between
No Time to Waste: 100,000 Messages a Second and Growing
Organizations are using event-driven architectures, Apache Kafka, Apache Pulsar, and other streaming technologies to handle the glut of event messages they …
Linux Foundation to Advance Reactive Programming Using RSocket
RSocket enables long-lived streams of data to be sent across different transport connections. It is especially useful in environments where network connections …
6Q4: Streamlio’s Karthik Ramasamy, on Today’s Stream Processing
Streamlio's co-founder and chief product officer talks about the next generation of stream processing and working with
Data Artisans Aims for Stream Processing at Scale
dA Platform 2 promises centrally managed stream processing capability for enterprises and to manage hundreds of Apache Flink jobs in
Why Gartner’s Down on the IoT, for Now
The IoT faces several challenges before it can realize its
Event Processing: The Real-Time Insights Enabler
In todayÔÇÖs fast-paced environment, business managers often must use event processing to make quick operational decisions to be successful and gain …
