Events provide valuable knowledge about what’s happening across the business. By tapping into real-time streams of information, organizations can connect the dots between disparate events, detecting new trends, customer issues or competitive threats as they arise. To unlock this value, events have to be distributed from siloed data sources, event endpoints must be managed for secure access and reuse, and teams must be empowered to easily process events and define critical scenarios. Join me to learn how IBM Event Automation, a composable solution, puts your events to work by enabling both business and IT users to detect scenarios, act in real time, and automate decisions.

1. Put events to work and respond
in real time
Alan Chatt | Product Manager Event Automation
alan.chatt@uk.ibm.com

2. Provides
continuous
awareness
Drives
automation
Enables
adaptability
Build a better picture of
your current business
Enable automation in
response to events to any
given situation
Adapt the way your
business operates based
on situations you detect
Event-driven fuels a competitive enterprise
© 2023 IBM Corporation
2

3. Imagine if…
…you harnessed every business event and use them to act in the moment
Today’s Enterprise Tomorrow’s Event-driven Enterprise
Inventory
processes
Business users must wait until the
end of the day to replenish store
inventories
Dynamic shipments based on
revenue opportunity where hot
items are running out
Optimized
New revenue
opportunities
Businesses build next quarter’s
marketing campaigns using previous
month’s sales data
Attractive offers using customer
buying patterns and personal order
history while in-store
Timely
Business
performance
Business users use quarterly reports
to evaluate financials and devise
action plans
Real-time view of product
performance enables mid-quarter
operational improvements
Adaptable
Quality
assurance
It takes days for the business user to
detect and analyze customer
feedback on quality issues
Early warning of customer
dissatisfaction with quality of
products
Proactive
© 2023 IBM Corporation
3

4. Discovering and
locating useful events
Events exist across all many
disparate data sources,
applications and systems
Uncovering
insights
Continuous, large volumes of new
events make it difficult to narrow the
insights and detect the patterns
Accelerating
the re-use of events
Shortage of people with the skills
required to put events to work
However, enterprises face challenges in becoming event-driven
© 2023 IBM Corporation
4

5. Discovering and
locating useful events
Events exist across all many
disparate data sources,
applications and systems
Uncovering
insights
Continuous, large volumes of new
events make it difficult to narrow the
insights and detect the patterns
Accelerating
the re-use of events
Shortage of people with the skills
required to put events to work
However, enterprises face challenges in becoming event-driven
Existing projects and technology choices Operational independence for project teams
© 2023 IBM Corporation
5

6. Messaging
Data fabric
Governance
Event Sources
Event Processing
Data lake Search
Message Brokers
(MQ)
Schema
registry
Flink Runtime
API
gateway
Event
gateway
Applic ation
IoT
Queries
Data
Governance
Business logic
Rules
Analytics
Streaming
Analytics
Predictive
Analytics
Descriptive
Analytics
Database In-memory
grid
Building an Event Driven Ecosystem
© 2023 IBM Corporation
6
Business processes
BPM Monitoring
Mining
Integration
iPaaS

7. IBM Event Automation
Event Endpoint Management
Build a self-service catalog of event
sources for users to securely browse
and utilize
Event Streams
Collect streams of real-time business
events with enterprise-grade Apache
Kafka
Event Processing
Define business situations in an
intuitive, easy-to-use authoring canvas
in order to act in real-time
Composable set of capabilities
Put business events to work by enabling users to detect
situations, act in real time, automate decisions, and
maximize their revenue potential
© 2023 IBM Corporation
7

8. Event Streams is the core of an event-driven enterprise that
efficiently streaming events, making them available in the
locations they are needed.
Building on open-source technologies like Apache Kafka
makes it easy to tap into an entire ecosystem for connectors,
analytics, processing and more.
Making it manageable across an entire enterprise by
incorporating:
• Operators to deploy Apache Kafka
• Supporting event data schemas
• Workload balancing
• Connectors to access external systems
• Management UI for hybrid deployments
Event Streams
Deploy
Apache Kafka across the
enterprise
Access
Event sources via Kafka Connect
and REST API
Manage
Browse messages, monitor key
metrics and manage your Kafka
deployments
8
© 2023 IBM Corporation

9. Event Endpoint
Management
Describe
Your events in a standardized way
Socialize
Publish your events for reuse
across the organization
Secure
Self-service access to events,
while retaining proper controls and
good governance
Enable existing events to be discovered and consumed by
any user and manage your event sources like APIs to securely
reuse them across the enterprise.
Event Discovery accelerates the implementation of event-
driven and situational applications by making the events that
drive them accessible to everyone.
Providing a common management facility
where streams of events can be:
• Described in a standardized way using AsyncAPI
• Published in a searchable catalog
• Advertised for others to gain self-service access based on
applied policies and gateway enforcement
9
© 2023 IBM Corporation

10. Event Endpoint Management
Catalog
Manager
Producer
application
Event gateway
Event Gateway:
• Decoupling/routing
• Traffic management
• Security
Event Catalog:
• Topic discovery
• Self-service
– Onboarding
– Topic subscription
• Account usage analytics
Event Endpoint Manager:
• Describe events
• Lifecycle Management
• Access management
• Policy administration
• Analytics
Producer
application
Producer
application
Producer
application
Event broker Event broker
Consumer Consumer
Kafka Protocol
© 2023 IBM Corporation
10

11. Empower users to work with relevant business events to
identify and act on situations in the moment.
Event Processing takes raw events and makes them relevant
to a business context. Users can:
• Filter and transform event properties
• Combine events to identify patterns over continuous time
windows
• Aggregate events to analyze trends and detect anomalies
Results can be immediately visualized as well as modified and
adjusted to adapt to changing conditions. Outputs can easily be
consumed by automation.
Event Processing
Define
Your business situations without
need for deep technical skills
Configure
Operations to process events
Apply
Publish to event consumers to act
and automate in real-time
11
© 2023 IBM Corporation

12. Event Processing
Reap the benefits of Event
Processing no matter the starting
and end points.
Event Processing is compatible with
several event sources.
This includes Event Endpoint
Management, Event Streams, open-
source solutions and more.
Similarly, once the information has
been combined, filtered, aggregated
and transformed as needed, the
output can be sent to a variety of
locations for further use.
Event Source Event Destination
Event Processing
Event Streams
Event Endpoint
Management
OSS Kafka
Kafka Cloud
Service
App Connect
Business
Dashboard
Other
Application
Other
Application
Event Processing
© 2023 IBM Corporation
12

13. An Editor and a Runtime
Visual Editor
Event Processing Runtime
The visual editor allows you to connect event sources to
a sequence of operations in order to define the way you
want to process your events. Helping you quickly and
efficiently define the situations you need to detect and
respond to.
The event processing runtime is built on Apache Flink, an
open, trusted, secure a scalable way of executing your
event processing flows. IBM’s event processing runtime
is fully supported, deployed and managed using
Kubernetes operators, making deployment and
management simple, either as a shared execution
environment, OR for deployment as part of an application.
Deploy
Flink Job Flink Job Flink Job
© 2023 IBM Corporation
13

14. Visual Assistance & Context Sensitive Help
Working with events involving time-window
operations is often a new concept for those starting to
use stream processing in their work. Event Processing
provides visual help with spreadsheet-like
functionality when configuring these processing
nodes.
Schema aware, and context sensitive assistance help
you configure correct expressions across all nodes in
your flow.
Users are presented with functions and help that are
most relevant to the data type of the fields they’re
working on based on the format of the events used as
input to the flow. Auto-complete ensures users
complete writing expressions faster and accurately.
Configure
Event Processing
© 2023 IBM Corporation
14

15. Event Processing
Rapid Iteration
First, create the flow expected to yield the desired
result.
Then, if something does not look right, quickly and
easily iterate on it.
Next, run the flow to see view the results.
After that, inspect the results to assess if they
seem reasonable.
Finally, use the final flow to trigger automations,
feed other business dashboards and share with
relevant stakeholders across the organization.
Iterate
© 2023 IBM Corporation
15

16. IBM Event Automation
Event Endpoint Management
Build a self-service catalog of event
sources for users to securely browse
and utilize
Event Streams
Collect streams of real-time business
events with enterprise-grade Apache
Kafka
Event Processing
Define business situations in an
intuitive, easy-to-use authoring canvas
in order to act in real-time
Composable set of capabilities
Put business events to work by enabling users to detect
situations, act in real time, automate decisions, and
maximize their revenue potential
© 2023 IBM Corporation
16

17. Thank you. Let’s connect!
Join us – at IBM Booth #217 – for
giveaways and a live demo of IBM
Event Automation.
Sign up now for a custom demo: