Solution Brief

STREAMING DATA PIPELINES

Stream Your Mainframe Data in Real Timewith Confluent

By integrating your IBM zSystems mainframe with Confluent, you can significantly reduce your processing and networking costs whilepaving the way to an agile, event-driven architecture, all without disrupting existing mainframe workloads. Build streaming pipelines
to connect, process, govern, and stream data to and from the mainframe and deliver real-time applications faster across on-premises,hybrid, and multi-cloud environments.

Bring real-time accessto mainframes

Accelerate application
development timesIncrease the ROI ofyour IBM zSystem

Future-proof yourarchitecture

Capture and continuously
stream mainframe
data in real time to power
new applications withminimal latency.

Equip your developers tobuild state-of-the-art,cloud-native applications
with instant accessto ready-to-use
mainframe data.

Redirect requests away frommainframes and achieve asignificant reduction in MIPS
and CHINIT consumption
costs.

Pave an incremental,
risk-free path towards
mainframe migration, andavoid disrupting existing
mission-critical applications.

With over 70% of Fortune 500 companies today continuing to rely on mainframes to power business-critical applications, they havedemonstrated tremendous staying power. As important as these systems are, they can be difficult to integrate into today’s data-driven
businesses, hindering transformation and posing a dilemma for large enterprises. Mainframes weren’t designed to interact with cloudbased applications today, and they often incur significant processing and networking costs, impose data silos, and foster a reliance on
batch processing.
Leading organizations like Royal Bank of Canada, Alight Solutions and KeyBank have turned to Confluent to augment their mainframesystems and reduce their reliance on batch processing on IBM zSystems, unlock real-time analytics and insights at scale to enable
connected customer experiences, improve efficiencies in their backend operations and reduce the operational and licensing costs of theirlegacy infrastructure.

Why integrate your mainframes with Confluent?
With Confluent, you can unlock the full potential of data from your IBM zSystems at high throughput and low latency and continuously
stream changing data in real time to power your cloud-native applications and systems. Gain operational and analytical efficiency,
escape the costs incurred by reducing the need for frequent querying and mitigate the risk of modernization with an incremental
migration strategy.

© 2023 Confluent, Inc. | info@confluent.io | confluent.io/use-case/mainframe1

Solution Brief | Stream Your Mainframe Data in Real Time with Confluent

z-Linux or z/OSCICSzIIPIMSVSAM
Legacy Apps

MQ Connector

GoogleBigQuery

Unlock your mainframe data in real-time, optimize your infrastructure investments,
break down data silos, and innovate fasterConnect your mainframe to any data sourceor destination in real timeGovern streaming pipelines to reduce risk andensure data quality

Use our rich ecosystem of connectors to bridge mainframes

Govern your streaming pipelines to meet internal and external

to other applications and systems. With Confluent’s extensive

compliance while ensuring data quality for your cloud database.

library of 120+ pre-built connectors, you can incrementally

Confluent’s Stream Governance enables your engineers totransition from a legacy, monolithic architecture to an eventdriven architecture.

discover, understand and trust the data streams, so they spendless time looking for the data and more time innovating forProcess real-time mainframe data streams
at scale

the business.

No more batch or microbatch processing. With Confluent’s native
stream processing, you can continuously process IBM zSystems
data using simple SQL to join and enrich, and aggregate datain-flight and share them in real-time with any downstream
system or application.

Learn more by reading our free Streaming Data Pipelines Ebook

We needed a way to rescue
data off of these accumulated
assets, including the mainframe,
in a cloud-native, microservicebased fashion.
– mike krolnik, head of engineering,enterprise cloud

Read the story

GET THE EBOOKOur mainframe-based
environment is significant
and we have to scale
it up to meet peak demand during ourpeak season. The unified data platform
enabled us to lower costs by offloading
work to the forward cache and reducing
demand on our mainframe systems.

As we implement moreuse cases on Confluent,
we will reduce ourmainframe and legacy message queue
costs… We expect to see a measurable
reduction in mainframe MIPS, IBM MQ
usage, and in our use of ETL process
software.

– chris roberts, vice president, enterprisearchitecture– michael roseman, senior vice president
and chief architect

Read the story

Read the story© 2023 Confluent, Inc. | info@confluent.io | confluent.io/use-case/mainframe2