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IBM Event Automation

The enterprise that reacts in real time: event streaming on Apache Kafka, a catalog of reusable events and no-code processing to turn data flows into immediate decisions.

FOCUS · FROM STILL DATA TO EVENTS THAT ACTManaged Kafka, event catalog and visual processing: react when it happens, not in tomorrow's report
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YoctoIT material for clients and partners · IBM, IBM Cloud Pak, IBM Event Automation e IBM Maximo sono marchi di IBM Corporation; Red Hat e OpenShift sono marchi di Red Hat, Inc.
01 · What it is

IBM Event Automation, made clear.

The data that matters is born as events: an order, a payment, a sensor, a suspicious login. IBM Event Automation lets you distribute, share and act on them in real time. Three components: Event Streams (enterprise Apache Kafka, managed and secure), Event Endpoint Management (a catalog that makes events reusable and governed, like APIs) and Event Processing (stream processing without writing code). The enterprise stops looking back and starts reacting while things happen.

Kafka
enterprise event streaming, managed and secure
Catalog
reusable, governed events, like APIs
No-code
real-time stream processing, visual
IBM Event Automation
OFFICIAL BRANDING IBM
EVENT STREAMS CONSOLE · KAFKA MONITORING · SOURCE: IBM
EVENT STREAMS CONSOLE · KAFKA MONITORING · SOURCE: IBM
02 · How to use it well

The things that make the difference.

The real-time nervous system

Event sourcesorders · payments · sensors · logs
Event Streams (Kafka)
Endpoint Management
Event Processing
distribution · catalog · processing
Governed, reusable eventsshared like APIs
Real-time actionsalerts, automations, decisions
The enterprise that reacts when it happens

Kafka without the headache

Event Streams is managed enterprise Kafka: high availability, security, geo-replication — Kafka's power without babysitting it.

Reusable events

Event Endpoint Management catalogs topics as products: whoever creates a flow publishes it, whoever needs it finds and consumes it — governed.

No-code processing

Event Processing with a visual interface (Apache Flink underneath): filters, aggregations, time windows, joins between flows — without a data engineer for every rule.

Integrates with the rest

With Cloud Pak for Integration, watsonx and IBM i systems: events feed AI, automations and ERPs.

03 · In depth

Streams, catalog, processing: the architecture

Event Streams provides enterprise Apache Kafka on OpenShift: resilient clusters, security, schema registry and geo-replication; Event Endpoint Management publishes Kafka topics as cataloged, governed events, with socialization and access control as for APIs; Event Processing offers a visual canvas based on Apache Flink to define stateful stream processing (filters, aggregations, windows, patterns) without code; the result connects to downstream systems — automations, watsonx AI, databases, applications — closing the loop between event and action.

  • Enterprise Kafka — HA, security, schema registry, geo-replication
  • Event catalog — topics as reusable, governed products
  • Apache Flink — stateful stream processing, visual
  • Windows & patterns — temporal aggregations and sequence recognition
  • Governance & access — who produces, who consumes, with control
  • Integration — watsonx, Cloud Pak, IBM i: from event to action
04 · Numbers and lifecycle

The numbers that matter.

real-time
from event generation to action
Kafka
the de facto standard of event streaming
no-code
stream processing without a data engineer
24/7
clusters and pipelines run in our managed services
Whoever reacts in real time wins in the market: Event Automation builds the enterprise's digital nervous system — we design and run it.
05 · Use cases

Where it really pays off.

Fraud and risk

Suspicious patterns recognized as they happen.

Real-time customer

React to customer behavior on the spot.

IoT and production

Sensor data that becomes immediate decisions.

Does your data speak yesterday or now? We show you how to react in real time — let's talk.