Achieve (and Maintain) Real-Time Apache Kafka Optimization
By carefully managing cluster and topic-level configurations, a continually optimized Apache Kafka deployment is there for the
Why Modern Applications Need an Event-driven Architecture
As businesses strive to be more responsive and react in real-time, they must incorporate events data and develop and deploy applications based on microservices …
Moving Customers and Products with an Event Mesh
An event mesh offers the connectivity, dynamic routing, scalability, high performance, and security required to run real-time logistics and operations …
Hazelcast Debuts Accelerated Event Processing for IoT, Edge and Cloud
Hazelcast Jet is a lightweight, scalable, real-time streaming engine for continuous event
Designing the Ultimate Disaster-Proof Internet of Things
As the devices that make up IoT become part of our everyday infrastructure, what are we doing to disaster-proof this massive new distributed
VANTIQ 2.0 Simplifies the Development of Real-Time Applications
VANTIQ 2.0 includes new features to shorten application development times, simplify maintenance, and support continuous delivery
The 5 Platforms Every Real-Time Enterprise Needs
These are the key platforms that enable enterprise decision-makers and decision-making systems to “feel” and “sense” what is taking place around
How to Apply Machine Learning to Event Processing
How do you combine historical Big Data with machine learning for real-time analytics? An approach is outlined with different software vendors, business use …
On Microservices and Event-Driven Architectures
An overall enterprise architecture for real-time analytics is possible with the decoupling
How to Handle Big Data? Get Picky With Stream Processing
Getting a handle on Big Data using stream processing often involves getting data from disparate sources, then picking and choosing what you want to see. One …