Confluent Blog

Learn how Confluent champion Tejal Bhatt helps customers on their data streaming journey as part of the Dedicated Solutions Engineering team.

Building multi-agent systems at scale requires something most AI platforms overlook: real-time, observable, fault-tolerant communication, and governance. That's why we build on Confluent data streaming platform…

The efficient management of exponentially growing data is achieved with a multipronged approach based around left-shifted (early-in-the-pipeline) governance and stream processing.

The guide covers Kafka consumer offsets, the challenges with manual control, and the improvements introduced by KIP-1094. Key enhancements include tracking the next offset and leader epoch accurately. This ensures consistent data processing, better reliability, and performance.

Learn how data streaming unlocks shift-left data integration—a key enabler for adopting and building next-generation technologies like generative AI— for the government agency.

An Apache Flink® job not producing results often indicates an issue with watermarks, which are necessary for handling out-of-order message processing in time-based aggregations from Kafka. Watermarks balance data loss and latency by defining how long to wait for late messages. Incorrectly setting...

Discover how Confluent enables secure inter-organizational data sharing to maximize data value, strengthen partnerships, and meet regulatory requirements in real time.

This blog explores how to integrate Confluent Tableflow with Trino and use Jupyter Notebooks to query Apache Iceberg tables. Learn how to set up Kafka topics, enable Tableflow, run Trino with Docker, connect via the REST catalog, and visualize data using Pandas. Unlock real-time and historical an...

Dinnertime with picky toddlers is chaos, so I built an AI-powered meal planner using event-driven multi-agent systems. With Kafka, Flink, and LangChain, agents handle meal planning, syncing preferences, and optimizing grocery lists. This architecture isn’t just for food, it can tackle any workflow.

Salesforce has Agentforce, Google launched Agentspace, and Snowflake recently announced Cortex Agents. But there’s a problem: They don’t talk to each other…

Explore how data contracts enable a shift left in data management making data reliable, real-time, and reusable while reducing inefficiencies, and unlocking AI and ML opportunities. Dive into team dynamics, data products, and how the data streaming platform helps implement this shift.

Singapore’s government agencies like HDB are using IMDA’s TAL and Confluent to modernize their data infrastructure and better serve citizens. Confluent’s data streaming platform enables real-time data sharing, improves agility and responsiveness, and ensures data security.

This blog outlines how to build cost-effective, high-throughput serverless streaming applications using Confluent Cloud Freight clusters for data ingestion and AWS Lambda functions for processing.

Model Context Protocol (MCP), introduced by Anthropic, is a new standard that simplifies AI integrations by providing a secure and consistent way to connect AI agents with external tools and data sources…