Transform your data infrastructure with Confluent Cloud—real-time streaming, seamless Azure integration, and unparalleled scalability for faster, smarter business decisions.

What is Confluent Cloud?

Confluent Cloud is a cloud-native, fully managed data streaming platform that transforms data infrastructure by setting data in motion. Built on Apache Kafka, it enables real-time data streaming across your organization with 10x the elasticity, storage, and resiliency of open-source Kafka.

Confluent accelerates development cycles by up to 70% and reduces management costs by 60%. Seamlessly integrated with Azure services, it offers 120+ pre-built connectors, a serverless stream processing service, and simplifies real-time data migration. Unlock real-time analytics and enhance customer experiences with Confluent’s cloud-native, scalable solution.

Solution Highlights

• Cloud-Native: Apache Kafka reimagined for Azure, offering a fully managed, elastic, globally available service integrated with Azure services and billing, including Infinite Storage.
• Complete: Pre-built connectors, stream governance, and enterprise-grade security for building reliable real-time apps faster.
• Everywhere: Link on-prem, multi-cloud, and edge data to Azure for a consistent, real-time data layer with Cluster Linking.

Key Azure Integrations

• Single sign-on with Azure AD
• Integrated billing with usage-based pricing
• Managed connectors for Azure services like Blob Storage, SQL Server, and Event Hubs.

Key Azure integrations

• Single sign-on with Azure AD
• Usage based pricing with integrated billing
• Effortless integrations with managed connectors to popular Azure services including Blob Storage, Microsoft SQL Server, Event Hubs & more.

Leveraging following solution to achieve goals of Continuous data exchange, real-time integration and data products.

a. Comprehensive Discovery of source and sink systems, batch jobs in scope for the RTDx/DIM journey

b. Domain stories to capture “business” of data flow and exchange across the enterprise

c. Detailed plan and roadmap to scope transition effort along with success metrics

d. Kafka platform (Confluent Cloud) foundation: Private networking, IDP integration, Security, Audit Logging, Continuous Delivery with GitOps, Observability and Disaster Recovery

e. Kafka Connect, Connector, Flink, Schema Registry Foundation for RTDx: Private networking, Continuous Delivery, Stream Governance, Lineage, Catalog integration and Disaster Recovery

f. Setup, test, Performance- test and productionize connector based data flow from source to sinks: SQL Server (JDBC/ODBC), Debezium, ActiveMQ, HTTP, etc

g. Data contracts & Composable pipelines with SMTs and stream processing (Flink/KSQL) based transformations, as reusable bolt-ons

h. Sink connectors with DLQ, Error handling and retry /backoff logic

i. Develop and set up a registry of data products with self-service access

j. Custom producers / consumers, self hosted components as required (JVM / Python)

Conclusion:

Leverage Confluent Cloud to streamline your data flow and unlock the full potential of real-time data streaming. Empower your business with scalable solutions, real-time insights, and cutting-edge analytics to stay ahead in today’s data-driven world.