Why Real-Time Stream Processing Beats Batch ETL for AI Data Freshness in 2026
Real-time data for AI needs stream processing, not batch ETL. Learn how Kafka + Flink deliver fresh context, better features, and trust—read now. This post…
Read MoreWhy Real-Time Stream Processing Beats Batch ETL for AI Data Freshness in 2026
The Last (and Longest) Mile of Apache Kafka® Migrations: Client Migrations With KCP and Confluent Cloud Gateway
Use Confluent’s Kafka Copy Paste (KCP) integration with Gateway to simplify Kafka client migration and reduce your client migration time from weeks to hours. This…
Introducing Confluent Platform 8.2: Queues for Apache Kafka®, Flink SQL, and More
Confluent Platform 8.2, built on Apache Kafka 4.2, delivers GA Queues for Kafka and Flink SQL, plus updates to Confluent Private Cloud Gateway, Unified Stream…
From 1 to 1 Million: How Agent Taskflow Built a Scalable AI Future with AWS and Confluent
Discover how Agent Taskflow avoided self-managed Kafka and built a production-grade AI orchestration platform with Confluent and AWS This post first appeared on Read More
How to Back Up Your Kafka Schema Registry (And Why Your Current Approach Probably Won’t Restore)
Most Kafka teams have something they call a Schema Registry backup — a curl script tucked into a cron job, a console consumer dump, an…
How to Build a Well-Architected Kafka Backup Strategy: Six Pillars for Protecting Your Streaming Data
Apache Kafka has quietly become the backbone of modern event-driven architecture. Financial services firms run trade reconciliation through it. Healthcare companies stream patient data. E-commerce…
Why One Kafka Connector Should Replace 200: How AI Is Finally Fixing the Integration Sprawl Problem
Today we’re open-sourcing kafka-connect-ai — a single, Apache 2.0 licensed Kafka Connect connector that replaces hundreds of single-purpose connectors with 12 protocol adapters and an LLM-powered transformation pipeline. The…
The Rise of the Open Security Lake: Why CISOs Are Betting on Open Table Formats
Legacy SIEM stacks can’t scale for AI-driven threats. See how open table formats and real-time data streaming create a decoupled security data supply chain. This…
Why ELT Can’t Keep Up in the Era of High-Scale Data Engineering
Batch ELT pipelines create duplication, cost spikes, and governance gaps as data scales. Here’s why enterprises are rethinking legacy integration models. This post first appeared…
How to Implement Your First ML Function in Streaming
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®. This post…
Confluent Cloud for Government Achieves FedRAMP Moderate: Mission-Ready Data Streaming for Federal Agencies
Confluent Cloud for Government is now FedRAMP Moderate authorized—enabling agencies to securely modernize data streaming with cloud-native Kafka. This post first appeared on Read More
Sustainable Streaming Architectures: A GreenOps Guide to Efficient, Low-Carbon Data Systems
Design energy-efficient, low-cost streaming systems. Learn GreenOps patterns to reduce compute waste, optimize storage, and lower the carbon footprint of real-time data. This post first…
Confluent Cloud’s Path to Post-Quantum Cryptography
Learn how Confluent Cloud is preparing for post-quantum cryptography with TLS 1.3, hybrid key exchange, and alignment with NIST FIPS 203–205 standards. This post first…
Queues for Apache Kafka® Is Here: Your Guide to Getting Started in Confluent
Kafka now supports native queue semantics with share groups and per-message acknowledgment. Learn how elastic consumers scale beyond partitions in Confluent. This post first appeared…
How to Build Autonomous Data Systems for Real-Time Decisioning
Learn how real-time decisioning and autonomous data systems enable organizations to act on data instantly using streaming, automation, and AI. This post first appeared on…