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Modernize your Database with Confluent and Amazon Aurora

On-prem databases are slow and rigid, costing businesses money in both upfront and ongoing maintenance costs. That limits the speed at which businesses can scale, experiment, and drive innovation. Today’s organizations need scalable, cloud-native databases for improved agility, elasticity, and cost-efficiency.

However, migrating and modernizing your database can be a long journey that spans multiple teams and batch-based tools. It's highly complex and resource-intensive to load and transform data with low latency. However, modernizing your database doesn’t have to be this much of a headache.

In this demo, we’ll walk through how you can start building a persistent pipeline for continuous migration from a legacy database to a modern, cloud database. You’ll see how to use Confluent and Amazon Aurora to create a bridge across your Amazon cloud and on-prem environments.

You can expect to learn how to:

  • Quickly deploy a Kafka cluster and load it with sample data
  • Easily process, merge, and enrich your data using fully managed ksqlDB
  • Leverage fully managed connectors to quickly build complete data pipelines for your real-time apps

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Additional Resources

cc demo
kafka microservices
Image-Event-Driven Microservices-01

Additional Resources

cc demo
kafka microservices
microservices-and-apache-kafka