Systems | Development | Analytics | API | Testing

Connecting the Dots: Simplifying Multi-API Data Flows into Apache Kafka

In today’s data-driven software-as-a-service (SaaS) environments, the need for complete customer insights often requires fetching and sharing data that lives across multiple API endpoints. That’s why many of our customers want to use Confluent’s data streaming and integration capabilities to implement real-time API chaining—a technique that allows them to automatically follow relationships between APIs.

Understanding Kafka with Speedscale #speedscale #kafka #visualization #engineering #production

In this video, we're breaking down the complex world of Apache Kafka and showing you how to gain deep visibility into your event streaming architecture using Speedscale. Kafka is the backbone of modern, cloud-native systems, but understanding what's happening in production—which topics are receiving traffic, where messages are going, and how services are interacting can be a real challenge. We'll cover how Speedscale makes Kafka visualization and debugging simple by.

LIVE from Current NOLA: Scaling Streaming in the AI Era | Life Is But A Stream

From the heart of the expo hall at Current NOLA, this special episode drops you into the conversations, energy, and the breakthroughs as they happened. Host, Joseph Morais, and co-host, Adi Polak talk with data streaming leaders and community voices to unpack how teams are using Apache Kafka and Apache Flink to power low-latency, AI-ready applications—covering patterns from usage-based billing and hybrid operations to cost efficiency and streaming governance. You’ll also hear how shift-left processing and governance make AI-ready data possible at scale.