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®.
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®.
Confluent Cloud for Government is now FedRAMP Moderate authorized—enabling agencies to securely modernize data streaming with cloud-native Kafka.
Schema IDs in Kafka headers make it easier to adopt Schema Registry, govern event streams, and migrate without breaking existing producers or consumers.
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.
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.
Kafka now supports native queue semantics with share groups and per-message acknowledgment. Learn how elastic consumers scale beyond partitions in Confluent.