Tag: Architecture Patterns

An architectural deep dive into Cloudflare's proposed Agentic Internet framework, spanning Web Bot Auth, Markdown for Agents, WebMCP browser tool exposure, and x402 micro-payments.

A comprehensive breakdown of GPU memory topologies, server hardware budgets, 3-phase power, liquid cooling requirements, and a 5-stage TCO evaluation framework for deploying Moonshot's Kimi-K3 2.8T MoE on-premises.

A deep dive into deploying Moonshot Kimi-K3 2.8T MoE on 80 consumer RTX 5090 GPUs: why 44 GPUs fall short, node topologies, 25GbE networking, TCO ledger, and power constraints.

A comprehensive deep dive into OpenAI's official GPT-5.6 release: Sol/Terra/Luna tiering, pricing matrices, Terminal-Bench 2.1 data, Triton kernels, and Agentic Harness routing.

Exploring the key architectural innovations behind DeepSeek V3, Llama 4, Gemma 3, and Kimi K2, including MLA, MoE, and sliding window attention engineering practices.

A practical guide to agents versus workflows, single- and multi-agent architecture, tools and MCP, state and memory, evaluation, security, and the path from PoC to production.

A practical framework for enterprise RAG data pipelines, hybrid search, reranking, GraphRAG, agentic RAG, evaluation, access governance, failure diagnosis, and operations.

A summary of the AWS × HoyaBit session: the four major pain points of Enterprise Agentic AI, the Amazon Bedrock AgentCore (Runtime/Memory/Gateway/Governance) technology stack, and how Taiwan's FSC-compliant exchange pushed their voice-trading Agent and enterprise brain platform into production.

Summary of the AWS × Pocketpair session: Amazon GameLift's managed value and cost optimization, and how Palworld achieved the migration of persistent worlds from Kubernetes to GameLift using state externalization, lifecycle adapters, exactly-one world instances, and existing monitoring assets. Also, a breakdown of three major failure cases: Terraform Drift, false-healthy Fleets, and Ping Beacons.

A summary of the talk by AWS's Howard and Tomofun (Furbo)'s Ricky, supplemented with the official AWS tech blog: from the vertical integration of Trainium/Inferentia/Graviton/Nitro, to Furbo porting BLIP to Inferentia 2, two-tier Auto Scaling, and AMI cold start optimization, successfully saving 81.6%–83% in AI computing costs.

A summary of the AWS and Super 8 (ORRA) session: the single agent decision loop, three major multi-agent orchestration patterns (Graph/Swarm/Workflow), A2A communication, Amazon Bedrock AgentCore core components, and how ORRA allows business users to build and deploy AI employees in two minutes using Job Descriptions.

A comprehensive summary of the AWS ProServ senior consultant's presentation 'Decompose with Care': How a leading Southeast Asian bank modernized its omni-channel monolithic platform serving 20 million active users to AWS cloud-native microservices with zero downtime. Covers four major challenges, Strangler Fig pattern, 3-Tier Facade, Contract-First / Mock-First approaches, and engineering guardrails in the AI era.

A summary of the salon sharing by AWS Solutions Architect HC and Bito Group Operations Manager Michael: OWASP LLM Top 10 security red lines, runC / gVisor / Kata sandbox comparison, Kubernetes multi-tenant isolation levels, and how BitoClaw builds a compliant, low-cost AI Agent platform using EKS, KEDA Scale-to-Zero, Pod Identity, and Network Policy.

A summary of the talk by Amazon and TapPay VP Joseph: How Alexa for Shopping (formerly Rufus) achieved $12B revenue with a single-agent architecture, the difference between Agentic Commerce and traditional shopping guides, and AI autonomous shopping safety guardrails like one-time virtual cards, intent validation, and limit management.

A source-grounded analysis of how ADK 2.0 separates deterministic routing from LLM reasoning, with production boundaries for workflows, tasks, human approval, and durable state.

Build a testable defense-in-depth architecture around prompt injection, tool authorization, exfiltration, memory and identity, supply chain, and observability boundaries.

A practical reading of the Model Context Protocol 2026-07-28 breaking changes, official Tasks and Apps extensions, and the compatibility and security work required for enterprise migration.

AI Summit Recap: Enterprise AI Control Plane, 15+ Agents responsibility breakdown, 4-stage runtime workflow for wealth managers, 3-layer security boundaries, LLM-as-a-Judge quality governance, and E·P·J·T reusable capability foundation.

Summary of my Cloud Summit sharing: Three lifelines for financial AI deployment, why PoCs get stuck, the three-tier architecture of Cloud Native AI Runtime, MCP tool governance, Hybrid Search and Agentic RAG, and why accuracy is a workflow property rather than a model feature.

A deep dive into Thoughtworks' analysis: guides/sensors, computational/inferential, three types of regulation, and the behavior harness gap. By comparing with OpenAI's practical experience and common Agent failure modes, we present an actionable Harness checklist.

An in-depth review of the February 2026 horizontal roundup: an engineer's work splitting into 'building the environment' and 'managing Agents', architecture as guardrails, tools as feedback, AGENTS.md as system records, and the separation of planning and execution.

Based on Anthropic's 'Harness design for long-running application development': Improving the reliability and controllability of long-running tasks through generator-evaluator separation, external evaluation, and QA contracts.

A source-grounded analysis of Anthropic's initializer, progress artifacts, feature inventory, Git checkpoints, and end-to-end verification pattern for work spanning context windows.

Adapted from Anthropic's 'Building Effective AI Agents': From single agents to multi-agent collaboration, common architectural patterns, workflow design, and how to choose the right architecture based on control requirements, problem complexity, and resources.