Architecture Briefings

    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 ...