Does your data speak of yesterday or now?
Tomorrow's report tells what happened yesterday. But the decisions that matter — fraud, customer, production — must be taken while things happen. You need a digital nervous system.
Kafka without the headache
Event Streams is enterprise Apache Kafka, managed and secure: high availability, geo-replication, schema registry. Kafka's power without babysitting it. Event Endpoint Management catalogs topics as reusable, governed products, like APIs: whoever creates a flow publishes it, whoever needs it finds it.
Event Processing offers a visual canvas (Apache Flink underneath): filters, aggregations, time windows, pattern recognition — without writing code.
From event to action
The result connects downstream: automations, watsonx AI, databases, applications — and IBM i systems. A fraud pattern recognized as it happens, a customer to answer on the spot, a sensor that becomes an immediate decision.
It's the piece that closes the loop between the data that's born and the action that matters.
How we start
We build the enterprise's digital nervous system, and run it.
- Analysis of event sources and use cases
- Event Streams on OpenShift, HA and secure
- Event catalog and no-code processing
- Clusters and pipelines managed 24/7