Jev by TypeSafe AI returns typed decisions with calibrated probabilities in a few hundred milliseconds. This post shows how a…
Confluent rearchitected Control Center away from its Kafka Streams metrics pipeline. Kestra 2.0 rebuilt its queuing layer around plain queueing.…
Most vendors sell milliseconds, but most enterprise use cases do not need them. A critical look at Kafka, Flink, Spark,…
This blog post explores how data streaming transforms airline operations by enabling real-time visibility, faster decision-making, and improved customer experience.…
Durable execution engines like Temporal and Restate are redefining how developers orchestrate long-running, stateful workflows in distributed systems. Unlike traditional…
Mobility services like Uber, Grab, and FREE NOW (Lyft) rely on real-time data to power seamless trips, deliveries, and payments.…
The rise of Electric Vehicles (EVs) demands a scalable, efficient charging network—but challenges like fluctuating demand, complex billing, and real-time…
The financial industry is rapidly shifting toward real-time, intelligent, and seamlessly integrated services. From IoT payments and AI-driven banking to…
Discover when Apache Flink is the right tool for your stream processing needs. Explore its role in stateful and stateless…
The rise of stream processing has changed how we handle and act on data. While traditional databases, data lakes, and…