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Confluent Blog
Introducing Confluent Private Cloud: Cloud-Level Agility for Your Private Infrastructure
Confluent Private Cloud (CPC) is a new software package that extends Confluent’s cloud-native innovations to your private infrastructure. CPC offers an enhanced broker with up to 10x higher throughput and a new Gateway that provides network isolation and central policy enforcement without client...
Queues for Apache Kafka® Is Here: Your Guide to Getting Started in Confluent
Confluent announces the General Availability of Queues for Kafka on Confluent Cloud and Confluent Platform with Apache Kafka 4.2. This production-ready feature brings native queue semantics to Kafka through KIP-932, enabling organizations to consolidate streaming and queuing infrastructure while...
New in Confluent Intelligence: A2A, Multivariate Anomaly Detection, Vector Search for Cosmos DB, Amazon S3 Vectors, and More
Explore new Confluent Intelligence features: A2A integration, multivariate anomaly detection, vector search for Cosmos DB and S3 Vectors, Private Link, and MCP support.
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.
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.
Agencies Win With Data Streaming: Evolving Data Integration to Enable AI
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.
Guide to Consumer Offsets: Manual Control, Challenges, and the Innovations of KIP-1094
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.
Why Is My Apache Flink® Job Not Producing Results?
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...
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.
Unlocking Data Insights with Confluent Tableflow: Querying Apache Iceberg™️ Tables with Jupyter Notebooks
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...
Chopped: AI Edition - Building a Meal Planner
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.
The AI Silo Problem: How Data Streaming Can Unify Enterprise AI Agents
Salesforce has Agentforce, Google launched Agentspace, and Snowflake recently announced Cortex Agents. But there’s a problem: They don’t talk to each other…
Shifting Left: How Data Contracts Underpin People, Processes, and Technology
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.
How the Singapore Government is Building Agility to Enhance Citizen Services with IMDA’s Tech Acceleration Lab and the Government Commercial Cloud+
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.
Optimizing Serverless Stream Processing with Confluent Freight Clusters and AWS Lambda
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.
Powering AI Agents with Real-Time Data Using Anthropic’s MCP and Confluent
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…
A Solutions Engineer's Take on How to Empower Customers
Learn how Confluent Champion Syed solves complex problems for customers—and how Confluent's collaborative culture keeps him motivated.