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
The combination of Apache Kafka and Kubernetes helps developers create EDAs and real-time data pipelines that stream and integrate data between
Companies looking to experiment in either event-driven architecture or edge environments can have it all, especially if they’re willing to tackle both …
Multidimensional data observability can help enterprises observe and optimize a wide range of complex data systems, technologies, and use cases from a single …
AI and machine learning can help automate incident response by assessing situations, prioritizing alerts, and aiding human operators.
Combining the digital twin concept and the power of in-memory computing promises to offer compelling real-time
Companies are turning to remote service and condition monitoring to cut costs, make more efficient use of service staff, and vastly improve the operations of …
As the need for real-time data expands, organizations will need to operate all three of these meshes at internet scale with enterprise-grade capabilities.
Smart systems powered by 5G and edge technologies have the potential to improve safety on the roads and in industrial facilities. Jillian Kaplan of Dell …
Increasingly, the industry is migrating from monitoring to observability and solutions that use AI to assist in managing alerts and correlating incidents.
A discussion of the benefits Apache Pulsar brings versus other streaming technologies, and how companies are using it.