Powering Agentic AI with Real-Time Streaming Data on AWS

Powering Agentic AI with Real-Time Streaming Data on AWS is a practical technical deep-dive for developers, cloud engineers, and architects designing the next generation of autonomous AI systems.

This ebook explores how real-time streaming data, foundation models, AI agents, event-driven architectures, and AWS services can work together to create systems that continuously observe, reason, and act.

Inside, you'll discover:

• ⚡ Why real-time data is critical for responsive agentic AI
• 🧠 The evolution from traditional LLMs and RAG to autonomous AI agents
• 👁️ OBSERVE → REASON → ACT as the three core capabilities of agentic systems
• ☁️ The role of Amazon Bedrock and Bedrock AgentCore
• 🔄 Event-driven agent invocation for low-latency automation
• 📊 Streaming feature engineering → inference → action
• 🗄️ Real-time data lake/lakehouse architectures for agent memory
• 🔐 Security and permission propagation across agentic pipelines
• 🛠️ AWS services including Kinesis, EventBridge, Step Functions, Lambda, S3, DynamoDB, OpenSearch, API Gateway, CloudWatch, and IAM
• 🏗️ Production considerations, including observability, reliability, scalability, and cost
• 🔧 End-to-end reference architecture and real-world implementation patterns
• 📐 Architecture decision guidance for choosing the right AWS services

Designed as a technical architecture guide rather than a general AI introduction, this ebook helps readers understand how to move from AI experimentation toward production-ready, real-time autonomous systems on AWS. The source document emphasizes the progression from retrieval and Q&A toward agents capable of reasoning, planning, and executing actions using streaming context.