Transforming to a Modern Tech Stack with Cloud-native Microservices and Data Streaming
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McAfee, the worldwide leader in online cybersecurity, has been on a journey to modernize its architecture to handle the increasing complexity of cybercrime and real-time data demands. But as fraud and cybercrime became more rampant and sophisticated, so has McAfee’s data landscape. McAfee had been relying on open-source Kafka and various other messaging technologies to manage the flow of data across the organization, but struggled with scalability and manageability, leading to outages and customer disruptions. As part of an organization-wide digital transformation journey, McAfee chose to partner with Confluent to replatform its architecture and fully capitalize on Kafka with a truly cloud-native and complete data streaming platform.
In this webinar, Rupin Kakkar, Director – Cloud Architecture Leader, Consumer Platform Engineering at McAfee, will dive into why the organization chose Confluent, share key learnings and best practices, and walk through a demo on how to build streaming data pipelines to analytical and operational systems on Confluent Cloud. You’ll see how his team uses telemetry to drive real-time business analytics and customer experiences.
You’ll learn how his team:
- Modernized its architecture to a distributed cloud-native microservices architecture underpinned by Kafka
- Successfully migrated from open source Kafka to Confluent Cloud to ensure resilience improvement by a factor of 10x
- Drove 40% improvement in engineering velocity by establishing a Center of Excellence to scale data streaming across the organization
- Created best practices for governance, security, and schema management (for nearly 1400+ schemas)
Don’t miss this opportunity to see a live demo and hear from a seasoned practitioner on how you can plan and execute a successful migration from on-prem to the cloud!
