Systems | Development | Analytics | API | Testing

Monoliths and Microservices are often seen as opposing design patterns. In this video, we explore the differences between the two, but also find some common ground between them.

Getting started with Apache Flink® can be challenging. In this short video, Wade Waldron will walk you through a complete example of how to produce Apache Kafka® messages using Apache Flink and Java.

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.