Architecture Briefings

Over the past decade, we’ve moved from virtual machines → containers → serverless → event-driven systems . Now, we’re entering the next architectural wave: AI Agents . AI Agents— autonomous systems capable of reasoning, planning, and executing multi-step actions—are rapidly becoming the backbone of modern enterprise automation . But this shift is not only about AI models. It’s about how cloud architecture must evolve to support intelligence that executes real actions across distributed systems. This edition of Architecture Briefings explores what Cloud Architects need to know right now.     🔍 What Are AI Agents? Traditional AI → predicts or answers questions. AI Agents → think, plan, decide, execute, and iterate. They can: Break a goal into smaller tasks Call APIs, databases, workflows, or tools Observe the output, re-plan, and take next steps Execute long-running operations autonomously Work across cloud services, apps, and environments This make...

    Modern architectures rely heavily on structured data formats — and for over a decade, JSON has dominated APIs, logs, configuration, and event systems. But in 2025, a new format is gaining attention: TOON (Typed Object Oriented Notation) . TOON addresses some of JSON’s biggest limitations by introducing native types, schema predictability, compactness, and agent-friendly structure , making it highly suitable for AI-driven systems . Below is a simple visual explanation:   🆚 JSON vs TOON — Structure Comparison (Explained)     JSON Example { "name": "Ravi", "age": "30", "premiumUser": "false" } ❗ Data types are ambiguous → Everything is a string by default ❗ APIs must validate types manually ❗ Parsing is slow for AI agents that require precise types ❗ Less compact, not optimized for machine autonomy TOON Example { name: String("Ravi"), age: Int(30), premiumUser: Bool(false) } ✔ Explicit, strongly-type...

    AI agents have moved from “nice-to-have automation” to core architecture components in 2025. Whether it’s autonomous monitoring , customer support bots , DevOps copilots , or workflow orchestrators — AI agents are becoming standard in modern cloud architectures. AWS has quickly adapted, offering new tools and integrations to help you deploy scalable, secure, and reliable agent-based systems. In this briefing, we explore how to set up AI agents in AWS , the latest features available, and the best practices you should follow. What Exactly Is an AI Agent? An AI agent is an intelligent system that can: Understand intent Take autonomous actions Execute tas...

  Expanded Threat Detection with GuardDuty Extended Threat Detection AWS has significantly enhanced Amazon GuardDuty with Extended Threat Detection ( XTD ). This update brings new, powerful detection capabilities for highly sophisticated, multi-stage attacks — especially in containerized environments . • Container Protection for EKS: GuardDuty can now analyze EKS audit logs , runtime process data, and AWS API activity. This means it can flag complex attack patterns such as a privileged container being deployed, followed by persistence attempts, cryptomining , or reverse-shell activity .   • AI / ML-based Correlation: GuardDuty uses AI / machine learning to correlate disparate threat signals and present them as attack sequence findings. These findings come with MITRE ATT&CK mappings and remediation recommendations, making them more actionable.   • Protection Plans: There are advanced threat coverage plans for S3 , EKS, Lambda , EC2 , and more. ...

  Over the past year, AI has moved from simple prompts to fully autonomous agents capable of planning, reasoning, and executing multi-step tasks. This evolution— Agentic AI —is shaping the next generation of cloud architectures, and AWS is positioning itself right at the center of this shift. 🌐 What Is Agentic AI? Agentic AI refers to AI systems that: • Plan actions based on goals • Retrieve information and tools needed • Execute workflows independently • Monitor and refine results • Collaborate with other agents or humans It’s no longer just “Give me an answer.” It’s “Here’s my goal. You figure out the steps.” Think of it as adding a brain + decision-making ability on top of LLMs. ⸻ 🔥 What’s New From AWS in Agentic AI? Amazon Agents for Bedrock AWS recently introduced Amazon Agents, a framework that allows developers to build agentic applications using Bedrock foundation models . These agents can: • Interpret user queries • Break down tasks ...