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DTSTAMP:20261020T151709Z
DTSTART:20261104T210000Z
DTEND:20261104T214500Z
SUMMARY:Decoupling the Behemoth: How Kafka Powers Bradesco's Real-Time Main
 frame DB2 Offload to Cloud (Architecting a Resilient CDC Pipeline with Top
 ics\, Schema Registry\, and Connectors at One of the World's Largest Banks
 )
LOCATION:Room 2000
DESCRIPTION:Rafael Diniz Guerra\n\nThe Core Banking Challenge Bradesco serv
 es over 70 million customers and processes billions of transactions annual
 ly on a Mainframe DB2 core that has been the backbone of Brazilian banking
  for decades. In today's fast-paced financial market\, accelerating the de
 livery of practical\, everyday solutions to customers is not just a differ
 entiator — it is a survival imperative. The structural challenge is prof
 ound: how do you democratize access to mission-critical transactional data
  locked across more than 30\,000 tables inside a Mainframe DB2\, without c
 ompromising the non-negotiable robustness\, security\, and regulatory comp
 liance of one of Latin America's largest banks? The Modernization Infrastr
 ucture This session reveals the application modernization blueprint drivin
 g the next generation of our financial services platform. We will dive dee
 p into our Change Data Capture (CDC) strategy\, demonstrating how we lever
 age IBM InfoSphere Data Replication to capture and stream DB2 changes in r
 eal-time — with strict SLAs on latency and near-zero performance impact 
 on the legacy core. We will share the hard-won lessons on tuning CDC subsc
 riptions at scale\, managing schema evolution on a platform where "ALTER T
 ABLE" carries existential risk\, and navigating the operational realities 
 of bridging a massive z/OS environment to the cloud. Kafka as the Strategi
 c Decoupler & Resiliency Buffer The heart of our architecture is the Kafka
  ecosystem. Far beyond a simple data pipeline\, Kafka acts as the strategi
 c decoupling layer between the Mainframe and Azure Cloud. You will learn h
 ow: Topics and partitioning strategies serve as a critical resiliency buff
 er — absorbing traffic spikes during peak banking events (payroll days\,
  tax deadlines\, Pix instant payment surges) and guaranteeing zero data lo
 ss with exactly-once semantics. Schema Registry enforces strict governance
  and data contracts in motion\, enabling controlled schema evolution acros
 s thousands of complex entities without breaking downstream consumers. Kaf
 ka Connect with purpose-built sink connectors seamlessly routes governed d
 ata into cloud-native destinations — Azure SQL Server for relational wor
 kloads and MongoDB for flexible document-oriented consumption patterns. Ob
 servability and operational resilience — how we monitor lag\, detect ano
 malies\, and handle failover scenarios across a hybrid on-premises/cloud K
 afka deployment serving a Tier-1 financial institution. The Impact: From B
 ottleneck to Data as a Product We will share concrete\, measurable outcome
 s: replication latency targets\, the growing percentage of our 30\,000+ DB
 2 tables onboarded\, consumer squad adoption rates\, and the reduction in 
 time-to-market for new digital products. By transforming a rigid legacy in
 frastructure bottleneck into an agile\, event-driven data mesh enabler\, w
 e empower autonomous development squads to consume governed\, real-time da
 ta as a product — bringing new financial solutions to market with unprec
 edented speed while meeting the stringent security and regulatory demands 
 of the Brazilian Central Bank (BACEN). Who Should Attend Architects\, engi
 neers\, and technical leaders facing mainframe modernization challenges 
 — especially those evaluating CDC-to-Kafka patterns for regulated indust
 ries where failure is not an option.
URL:https://sf26.rmoff.net/s/decoupling-the-behemoth-how-kafka-powers-brade
 scos-real-time-161
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