Amazon Kinesis
What Amazon Kinesis is, how it processes streaming data in real time, and when to use Kinesis versus other streaming options.
Streaming
Amazon MSK - Managed Streaming for Apache Kafka
A comprehensive reference for Amazon MSK: managed Kafka clusters, event streaming patterns, and integration with AI/ML data pipelines.
Apache Kafka
What Kafka is, how it provides distributed event streaming, and when to choose Kafka for AI data pipelines.
Apache Spark - Unified Big Data Processing Engine
Apache Spark is a multi-language engine for large-scale data processing, machine learning, and streaming analytics.
API Design for AI Services
Best practices for designing APIs that serve AI workloads, covering streaming responses, versioning, error handling for probabilistic …
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 per second for big data and AI …
Azure Media Services - Cloud Media Processing and Streaming
Azure Media Services is a cloud-based platform for encoding, packaging, protecting, and streaming video and audio content at scale.
Change Data Capture
What change data capture (CDC) is, how Debezium and AWS DMS enable real-time data replication, and why CDC matters for keeping AI feature …
Cloud Dataflow - Unified Stream and Batch Data Processing
Google Cloud Dataflow is a fully managed service for executing Apache Beam pipelines for both stream and batch data processing at scale.
Cloud Pub/Sub - Messaging and Event Streaming
Google Cloud Pub/Sub is a fully managed real-time messaging service for asynchronous event-driven architectures, data streaming, and service …
Media CDN - Content Delivery for Streaming and Media
Google Media CDN is a high-performance content delivery network optimized for streaming video, large file delivery, and media-rich …
Online Learning
Incremental machine learning approach that updates models continuously with streaming data rather than retraining from scratch.
Pipe and Filter Architecture
An architecture pattern where data flows through a sequence of independent processing components connected by channels.
Response Streaming Patterns for AI Applications
Implementing streaming responses from LLMs for improved perceived latency. Server-sent events, chunked processing, and progressive …
WebSocket
What WebSockets are, how they enable real-time bidirectional communication, and why they are used for streaming LLM token delivery to …
Hybrid Cloud AI Video Pipeline with Amazon FSx for NetApp ONTAP
How to build an AI video processing pipeline that spans on-premises storage and AWS cloud using FSx for NetApp ONTAP as a hybrid bridge, …
Data Pipeline Patterns for AI/ML Workloads
Practical patterns for building reliable data pipelines that feed AI and ML systems - ingestion, transformation, feature engineering, and …