Confluent Blog

Confluent Cloud’s Q2 ‘26 launch makes AI-ready streaming accessible by delivering SQL-based workflows via the dbt adapter for Flink, enhanced developer tooling with managed MCP server and Agent Skills, production-grade AI solutions through Streaming Agents and Real-Time Context Engine, and more.

Explore new Confluent Intelligence features: enhanced querying with Real-Time Context Engine, PII detection, sentiment analysis, and support for TimesFM, Anthropic, and Fireworks AI models.

InfiniteWatch is building an AI-native customer interaction intelligence platform that unifies these streams into a continuous, real-time understanding of customer behavior and operational state. At its core is Confluent.

Confluent's architectural approach to digital sovereignty for real-time streaming, showcasing our deployment spectrum, zero-access guarantees, and open-source foundation

Confluent Cloud rolled out new observability updates that give operators direct visibility into streaming workload performance. New Metrics API signals expose client throttling by principal, consumer group rebalance duration, connection attempt spikes, and compacted partition counts.

Confluent Tableflow simplifies the process of feeding data lakes and lakehouses by turning Kafka topics directly into analytics-ready Iceberg or Delta Lake tables, eliminating complex traditional ETL stacks leading to 30%–50% lower total ingestion costs.

This blog post introduces KCP integration with Gateway, which automates Kafka client cutover by routing traffic through an auth-translating proxy and orchestrating group-based, offset-safe migrations to Confluent Cloud with just a few CLI commands.

We’re excited to announce Confluent Platform 8.2! Built on Apache Kafka 4.2, it introduces Queues for Kafka (GA) for native task-queue workloads, Flink SQL (GA) to simplify stream processing, and CPC Gateway 1.2 for seamless client switchover to make managing migrations easier than ever.

Agent Taskflow built a multi‑agent AI platform on Confluent Cloud and AWS that can scale from one to one million agents with sub‑30ms latency. This post breaks down their architecture, benchmark results, and why an event‑driven backbone is critical for production agentic AI.

CISOs are shifting from expensive, locked-in SIEMs to Open Security Lakes using Apache Iceberg. Confluent powers this decoupled architecture by filtering data in real-time, slashing ingestion costs, breaking vendor lock-in, and enabling faster threat detection.

Batch ELT pipelines create duplication, cost spikes, and governance gaps as data scales. Here’s why enterprises are rethinking legacy integration models.

Learn how to add your first ML model to a real-time streaming pipeline. Learn a simple, low-risk pattern for inference, scoring, and deployment with Apache Kafka®.

Confluent Cloud for Government has achieved FedRAMP Moderate authorization, allowing federal, state, and local agencies to deploy secure, fully managed data streaming. By eliminating the operational burden of self-managed Kafka, the platform helps agencies break down data silos, modernize legacy...