Discover why enterprises rely on Confluent Cloud to realize performance, scalability and reliability while unlocking powerful streaming data pipeline use cases that drive business efficiency and increase revenue.

Thank you for watching this course. We have a few additional resources for you to dig deeper and be fully equiped to start your data in motion journey: a comprehensive cheat sheet with a check list of what you need to verify before going to production and a sneak preview of what we saved for the follow-up course.

Learn how to manage cloud volatility when running applications on Confluent Cloud. Understand how to optimally configure Kafka client for resilient cloud operations and explore error handling patterns in Kafka Streams. Leverage concepts like idempotent producers and consumers, and exactly one processing semantics.

Jay Kreps (Confluent Co-Founder and CEO), Shaun Clowes (Confluent CPO), and data streaming leaders from organizations like NASA, Warner Brothers, and Notion explore the past, present, and future of data streaming. They will address two key questions: how can organizations integrate data across their applications to deliver better experiences, and how can they embed data and analytics into every part of the business to drive better decision-making?

The Confluent Q3 ’23 Launch is packed full of new features that enable customers to deliver intelligent, secure and cost-effective data pipelines. Our quarterly launches provide a single resource to learn about the accelerating number of new features we’re bringing to Confluent Cloud, our cloud-native data streaming platform.

Operate the data streaming platform efficiently by focusing on prevention, monitoring, and mitigation for maximum uptime. Handle potential data loss risks like software bugs, operator errors, and misconfigurations proactively. Leverage GitOps for real-time alerts and remediation. Adjust capacity to meet demand and monitor costs with Confluent Cloud's pay-as-you-go model. Prepare for growth with documentation and minimal governance.

Early automation saves time and money. GitOps improves CI/CD pipeline, enhancing operations & traceability. Learn to use GitOps for data streaming platforms & streaming applications with Apache Kafka and Confluent Cloud.

Explore the resilience of Kafka, understand the implications of datacenter disruptions, and mitigate data loss impacts. Learn to scale with Confluent Cloud, cluster and schema linking, and how to use an active/passive disaster recovery pattern for business continuity.

Streaming platforms need key capabilities for smooth operations: data ingestion, development experience, management, security, performance, and maintenance. Self-managed platforms like Apache Kafka can meet these needs, but can be costly and require intensive maintenance. On the other hand, Confluent Cloud offers fully-managed services with features like scalable performance, auto-balancing, tiered storage, and enhanced security and resiliency. It provides systematic updates and maintenance, freeing users from infrastructure concerns. Confluent Cloud streamlines creation of a global, well-governed data streaming platform.

"Over the last few years, DISH Wireless has turned to AWS partners like Confluent to build an entirely new type of telecommunication infrastructure—a cloud-native network built to empower developers. Discover how data streaming allows DISH Wireless to:— Deliver data products that turn network data into business value for customers— Harness massive volumes of data to facilitate the future of app communications— Seamlessly connect apps and devices across hybrid cloud environments.