Systems | Development | Analytics | API | Testing

Apache Kafka Monitoring Is Costing You More Than You Think

For organizations that rely on Apache Kafka, monitoring capabilities aren’t just a "nice-to-have"—it's a fundamental requirement for reliable performance in production and business continuity. However, the true cost of monitoring Kafka is often misunderstood. It’s not a single line item on a bill but a collection of hidden expenses that silently drain your engineering budget and inflate your total cost of ownership (TCO).

2026 Data & AI Predictions: What Trends Will Shape the Future?

We recently released our 2026 Confluent Predictions Report, outlining bold ideas and trends that are shaping the future of data, AI, and real-time systems. And stay tuned for an upcoming episode of the Life Is But a Stream web show that will air early in the new year. Join the conversation as host Joseph Morais sits down with Sanjeev Mohan, independent analyst at SanjMo, for an exciting roundtable discussion breaking down those predictions. Are they forecasts? Are they trends? And which ones will matter most as we move forward into 2026?

The $11 Billion Question: What the acquisition of Confluent by IBM means

What’s remarkable is how long Confluent competed at the highest level. Creating a category and type of application is hard; transitioning to cloud and surviving against hyper scalers is even harder. That alone is a huge achievement. Some see this as a pressured exit. But another way to look at it is as a strategic purchase by IBM to strengthen its position in enterprise data movement and integration.

Inside Life Is But A Stream: A Year in Review (Real-Time Data and AI) | Confluent Podcast

Technology leaders share how they process streaming events end-to-end in sub-second latency, secure sensitive data through immutable and governed pipelines, power secured real-time systems in regulated environments, and enable multi-agent AI systems built on fresh, continuously streaming data.

Best of 2025: Everything You Missed in 15 Minutes | Life Is But A Stream

In 2025, real-time data moved from important to mission-critical. From billion-event pipelines to AI agents reasoning over fresh data streams, the conversations this year revealed just how fast organizations are rethinking their data infrastructure and what’s possible when data streaming becomes the foundation.

JSON schemas to control your Lenses & infrastructure provisioning

When we talk about JSON schema in the world of Kafka and streaming, you may assume the schema for the events/messages. But how many times have you fumbled in the configuration about trying to get an application deployed? Schemas that describe how to configure and deploy Applications or applications-as-code, are also important, allowing us to automate application landscapes. Especially as we will soon be a wash with catalogs for AI Agents, MCP servers etc.

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.