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…
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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…
5 Years of Confluent Cloud Connectors: Exploring Your Top Connector Picks
This summer marks five years since we announced our first fully managed connector on Confluent Cloud in 2019, the Amazon S3 Sink Connector. Since then,…
Real-Time Log Analytics as a Service with Confluent and Elasticsearch
Collecting and indexing logs from servers, applications, and devices enables crucial visibility into running systems. A log analytics pipeline allows teams to debug and troubleshoot…
Scaling Apache Druid for Real-Time Cloud Analytics at Confluent
How does Confluent provide fine-grained operational visibility to our customers throughout all of the multi-tenant services that we run in the cloud? At Confluent Cloud,…
Building the Confluent UI with React Hooks – Benefits and Lessons Learned
Updating a fundamental paradigm in your React app can be as easy as search and replace, or at other times, as difficult as convincing your…