Apache Kafka
Industrial companies are connecting machines, sensors, and enterprise systems like never before. Real-time data, cloud-native platforms, and AI are driving this transformation—but only if silos
1. July 2025
Industrial companies are connecting machines, sensors, and enterprise systems like never before. Real-time data, cloud-native platforms, and AI are driving this transformation—but only if silos
In the rapidly evolving landscape of intelligent traffic systems, innovative software provides real-time processing capabilities, dynamic pricing and new customer experiences, particularly in the domains
5G telco infrastructure provides the basic foundations of data movement and increasingly unlocks new capabilities for low latency and critical SLAs. Real-time data processing with
Apache Kafka is the central nervous system of many applications in various areas related to the automotive and manufacturing industry for processing analytical and transactional
Apache Kafka and MQTT are a perfect combination for many IoT use cases. This blog series covers the pros and cons of both technologies. Various
The digital transformation connects the world. People, vehicles, factories, cities, digital services, and other “things” communicate with each other in real-time to provide a safe
Event Streaming with Apache Kafka disrupts the retail industry. Walmart’s real-time inventory system and Target’s omnichannel distribution and logistics are two great examples. This blog
The Fourth Industrial Revolution (also known as Industry 4.0) is the ongoing automation of traditional manufacturing and industrial practices, using modern smart technology. Event Streaming
Real-Time Locating System (RTLS) enables identifying and tracking the location of assets or people in real-time. This blog post explores the use cases for RTLS,
Event Streaming is happening all over the world. This blog post explores real-life examples across industries for use cases and architectures leveraging Apache Kafka. Learn
