Real-Time

19 articles
WebSocket What WebSockets are, how they enable real-time bidirectional communication, and why they are used for …Supabase - Open-Source Firebase Alternative Supabase is an open-source backend-as-a-service platform providing a PostgreSQL database, authentication, …Stream Processing What stream processing is, how Flink, Spark Streaming, and Kafka Streams enable real-time data transformation, …Response Streaming Patterns for AI Applications Implementing streaming responses from LLMs for improved perceived latency. Server-sent events, chunked …Real-Time vs Batch AI Processing - Choosing the Right Pattern Decision framework for choosing between real-time and batch AI processing. Latency requirements, cost …Real-Time Feature Serving Sub-millisecond feature serving for online inference: architecture, caching strategies, precomputation …Real-Time Feature Computation Pattern The architectural pattern for computing ML features from event streams: windowed aggregations, stream-table …Real-Time Data Pipelines for AI Workloads Implementation guide for real-time streaming data pipelines: four-layer architecture, Flink feature …Online Learning Incremental machine learning approach that updates models continuously with streaming data rather than …Cloud Firestore - Serverless Document Database Google Cloud Firestore is a serverless, scalable NoSQL document database with real-time synchronization, …ClickHouse - High-Performance Columnar Analytics Database ClickHouse is an open-source columnar database management system optimized for real-time analytical queries on …Case Pattern: AI Fraud Detection for a Regional Bank Architecture and lessons from deploying a real-time AI fraud detection system processing 2 million …Batch vs Real-Time Inference Patterns Comparing batch and real-time inference patterns for ML models, covering architecture, cost, latency, and when …Azure Event Hubs - Big Data Streaming Ingestion Azure Event Hubs is a fully managed real-time data streaming platform capable of ingesting millions of events …Azure Data Explorer - Real-Time Analytics and Time Series Database Azure Data Explorer is a fast, fully managed data analytics service optimized for real-time analysis of large …Apache Kafka - Distributed Event Streaming Platform Apache Kafka is a distributed event streaming platform used for high-throughput, fault-tolerant real-time data …Apache Flink - Stateful Stream Processing Framework Apache Flink is a distributed stream processing framework for stateful computations over unbounded and bounded …Amazon Kinesis What Amazon Kinesis is, how it processes streaming data in real time, and when to use Kinesis versus other …AI Fraud Detection for Financial Services Real-time transaction scoring, anomaly detection, behavioral biometrics, and investigation prioritization for …