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Stream Processing Made Easy With Confluent Cloud and KSQL

作成者 :

Confluent Cloud™ is a fully-managed streaming data service based on open-source Apache Kafka. With Confluent Cloud, developers can accelerate building mission-critical streaming applications based on a single source of truth. Liberated from the operational burden of managing their own Kafka clusters, they can easily deploy a single cloud cluster or a solution that spans multiple cloud providers and on-premises deployments.

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In our white paper, Stream Processing Made Easy with Confluent Cloud and KSQL, we discuss how to design, configure, and manage your streaming applications with Confluent Cloud. The paper covers the following:

  • Apache Kafka in the Cloud
  • Launching a Confluent Cloud Cluster
  • Management and Monitoring with Confluent Control Center
  • Stream Processing with KSQL
    • KSQL User Interface
    • Monitoring KSQL Performance
  • Data Governance with Confluent Schema Registry
  • Getting Data Into and Out of Confluent Cloud
    • Connecting External Data Systems
    • Transferring Kafka data from other Clusters

To see a hybrid deployment in action, run the Confluent Cloud demo, which uses KSQL for stream processing, Confluent Replicator for moving data from on-prem to Confluent Cloud, and Confluent Control Center for monitoring. The demo includes a script that auto-generates the additional component configuration parameters, derived from your Confluent Cloud cluster configuration. You must already have access to a Confluent Cloud cluster to run the demo.

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Download the white paper today for a practical guide to deploying an enterprise-ready streaming platform in the cloud.

If you want to know more about Confluent Cloud, check out:

  • Yeva is an integration architect at Confluent designing solutions and building demos for developers and operators of Apache Kafka. She has many years of experience validating and optimizing end-to-end solutions for distributed software systems and networks.

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