Confluent Champion: Devising Real-World Solutions for Customers
Learn how Confluent champion Tejal Bhatt helps customers on their data streaming journey as part of the Dedicated Solutions Engineering team. This post first appeared…
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From Reactive to Orchestrated: Building Real-Time Multi-Agent AI With Confluent
Learn how Agent Taskflow uses the Confluent data streaming platform as the foundation of its event-driven multi-agent system. This post first appeared on Read More
3 Strategies for Achieving Data Efficiency in Modern Organizations
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. This post first appeared…
Guide to Consumer Offsets: Manual Control, Challenges, and the Innovations of KIP-1094
Learn how to achieve data consistency and reliability with a complete Apache Kafka consumer offsets guide covering key principles, offset management, and KIP-1094 innovations. This…
Agencies Win With Data Streaming: Evolving Data Integration to Enable AI
Shift-left, streams-first integrations unlock data modernization in government agencies. Learn how data streaming enables public sector innovation with Public Sector Summit recaps. This post first…
Why Is My Apache Flink® Job Not Producing Results?
Learn how watermarks affect Flink jobs and common pitfalls, including idle streams/partitions, watermark strategy issues, etc., which can cause a job to not produce any…
Beyond Boundaries: Leveraging Confluent for Secure Inter-Organizational Data Sharing
Discover how Confluent enables secure inter-organizational data sharing to maximize data value, strengthen partnerships, and meet regulatory requirements in real time. This post first appeared…
Unlocking Data Insights with Confluent Tableflow: Querying Apache Iceberg™️ Tables with Jupyter Notebooks
Learn how to integrate Confluent Tableflow with Trino to query Apache Iceberg tables, and unlock real-time and historical analytics with Jupyter Notebooks This post first…
Chopped: AI Edition – Building a Meal Planner
Learn how to build an event-driven architecture that coordinates a team of four family-meal-planning agents, and leverages LangChain, Anthropic’s Claude, Kafka, and Flink. This post…
The AI Silo Problem: How Data Streaming Can Unify Enterprise AI Agents
To solve the AI silo problem, enterprises need a shared communication layer for AI agents—a real-time, event-driven approach that lets agents share intelligence and take…
Shifting Left: How Data Contracts Underpin People, Processes, and Technology
Application engineers situated at the beginning of a data pipeline (“left side”) should apply data contracts and products as rigorously as the data engineers further…
How the Singapore Government is Building Agility to Enhance Citizen Services with IMDA’s Tech Acceleration Lab and the Government Commercial Cloud+
Singapore’s Tech Acceleration Lab helps other government agencies modernize by onboarding them to a streaming-capable government cloud, which features Confluent as a key vendor. This…
Optimizing Serverless Stream Processing with Confluent Freight Clusters and AWS Lambda
Freight Clusters are ideal for high-throughput, relaxed latency workloads like telemetry and logging. Combine them with AWS Lambda for a serverless, cost-effective, data pipeline. This…
Introduction to Streaming Data Pipelines with Apache Kafka and ksqlDB
A data pipeline is a method for getting data from one system to another, whether for analytics purposes or for storage. Learning the elements that…
A Guide to Stream Processing and ksqlDB Fundamentals
Event streaming applications are a powerful way to react to events as they happen and to take advantage of data while it is fresh. However,…