Equinix 基于 Amazon EKS 构建共享服务架构，降低 40% 运维开销
全球数字基础设施巨头 Equinix 在 Amazon EKS 上构建了共享服务架构，以解决此前自建 Kubernetes 环境带来的运维蔓延难题。通过采用多账户 North Star 架构实现集中化治理与服务共享，Equinix 将应用部署速度提升了 4 倍，同时将基础设施运维开销降低了 40%，有效提升了多集群管理的扩展性与运维效率。
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1OpenAI与Anthropic调查数万起AI智能体自主网络入侵事件，波及美政府机构96 热度 ⌁2OpenAI智能体利用DNS隧道逃逸沙箱，官方紧急暂停顶级模型训练与评估93 热度 ⌁3医保系统遭AI智能体入侵，澳大利亚传唤OpenAI与Anthropic CEO接受质询83 热度 ⌁4谷歌、OpenAI 与 Anthropic 拟联手组建前沿 AI 标准机构 SAFA78 热度 ⌁5Show HN: AstraBox – an open-source alternative to Claude Managed Agents75 热度 ⌁9月18日2026-09-18
9月17日2026-09-17
DHI Group携手AWS通过黑客松加速生成式AI工作负载投产
DHI Group与AWS合作，通过结构化黑客松模式推动生成式AI工作负载从概念快速走向生产环境。文章详细介绍了其“黑客松加速包”、基于Amazon Bedrock AgentCore构建的ClearanceJobs与AgileATS智能体架构，以及如何将黑客松打造成一套可重复的AI项目落地机制与工程实践原则。
9月11日2026-09-11
From zero-shot forecast to purchase order with Amazon Bedrock AgentCore
Combine zero-shot forecasting with Amazon Chronos2 and multi-agent orchestration on Amazon Bedrock AgentCore to turn demand forecasts into validated purchase orders. No per-product model training, with business rules, auditability, and cost that scales to zero.
Building resilient real-time streaming workers with Amazon DynamoDB leases
Real-time streaming workers that hold hundreds of persistent WebSocket connections lose data when a worker fails. Learn how to build a WebSocket fleet management system on Amazon ECS and AWS Fargate that uses Amazon DynamoDB conditional writes as a distributed lease to track ownership, fail over automatically, and deploy with low downtime.
9月10日2026-09-10
Testing application resilience with Amazon SQS and AWS Fault Injection Service
Learn how to use AWS Fault Injection Service and AWS Systems Manager Automation to run progressive chaos experiments against Amazon SQS queues. Validate that your retry logic, circuit breakers, and dead-letter queues actually work under failure before a real outage hits production.
Validating multi-Region DR for Terraform Enterprise with AWS FIS
Learn how AWS, HashiCorp, and Athenahealth designed and chaos-tested a multi-Region disaster recovery strategy for Terraform Enterprise on AWS. This post walks through three-phase AWS Fault Injection Service experiments across Amazon EC2, Aurora, and Amazon S3, the 12-14 minute recovery times achieved, and the state file dependency pitfall to avoid.
9月1日2026-09-01
Hybrid cloud orchestration: Modernizing on-premises infrastructure management with AWS
Learn how to build a hybrid cloud orchestration solution that manages distributed on-premises infrastructure at scale using AWS serverless technologies and Amazon EKS Anywhere. Part 1 covers the core event-driven architecture patterns for automating server lifecycle and cluster management across hundreds of sites.
MCP went stateless: Is your AWS MCP server deployment well-architected?
On July 28, 2026, MCP made its protocol core stateless, removing the initialize handshake and session header. This post maps the MCP 2026-07-28 specification to the AWS Well-Architected Agentic AI Lens, pillar by pillar, and shows why the stateless design lets you delete the sticky sessions and session stores your MCP servers needed on AWS.
8月27日2026-08-27
Gallup scales real-time coaching for thousands with Amazon Bedrock
Gallup transformed 90 years of workplace science into Gallup AI, a generative AI assistant powered by Amazon Bedrock that delivers real-time, personalized coaching to leaders directly within the Gallup Access application.
Closing the AI agent trust gap with graduated autonomy
Most teams give AI agents either full access or read-only, leaving value unused or risk unmanaged. This post describes graduated autonomy, an architectural pattern in which agents earn expanded permissions through sustained reliability and lose them when performance degrades, built on Amazon Bedrock AgentCore, Amazon DynamoDB, and AWS CodePipeline.
8月24日2026-08-24
How a global payment processor preserved AWS RAM shares and Lake Formation permissions during an AWS Organizations migration
When AWS accounts move between organizations, organization-bound AWS RAM resource shares break and control-plane access is lost. Learn how a global payment processor used temporary bridge shares to preserve AWS Lake Formation permissions across a 382-account AWS Organizations migration, then restored the original shares as the durable source of truth.
8月22日2026-08-22
Build a unified AI agent architecture with DynamoDB and Bedrock
With native vector search in Amazon DynamoDB, you can store vector embeddings alongside your operational data in a single table. This post shows how to build a unified AI agent architecture where an Amazon Bedrock agent uses one DynamoDB table for both structured lookups and semantic search, with a DynamoDB Streams pipeline that keeps embeddings in sync.
8月21日2026-08-21
How AgentFlo built AI sales agents with Amazon Bedrock AgentCore – Part 2
Part 2: how AgentFlo built trusted, reliable AI sales agents on Amazon Bedrock AgentCore and AWS serverless architecture. Learn the three-layer guardrails, grounded data foundation, and end-to-end observability behind a +12% net revenue uplift, plus what's next for real-time voice and server-side tool execution.
8月19日2026-08-19
How Clario technology detects PHI/PII in DICOM images using Amazon Bedrock
Clario, part of Thermo Fisher Scientific, uses Amazon Bedrock and Amazon Textract to automatically detect protected health information (PHI) and personally identifiable information (PII) across thousands of DICOM image slices in clinical trials, covering both metadata tags and text burned into the image pixels.
AI-powered clinical trial eligibility and safety using Amazon Bedrock AgentCore
AI agents built on Amazon Bedrock AgentCore help clinical trial teams make fast, accurate enrollment decisions while keeping clinicians in control. This post shows how to architect an eligibility and safety screening agent using AWS HealthLake, AgentCore, and AgentCore Evaluations.
8月18日2026-08-18
Consistency is the new latency: AI at the data layer
As AI agents move from chatbots to taking action, their reliability depends on the consistency of the data layer beneath them. This post examines how replication lag poisons an agent's context and shows how to match Amazon Aurora, Amazon DynamoDB, and Amazon Keyspaces replication models to each task's consistency requirements.