How to Orchestrate On-Premises Infrastructure at Scale with EKS Anywhere and AWS Serverless
AWS Architecture Blog's three-layer reference architecture for hybrid cloud orchestration: EKS Anywhere clusters at the edge, Step Functions and EventBridge at center, and a DynamoDB-backed Order Management System tying them together.
MCP Went Stateless: The AWS Well-Architected Audit Your MCP Server Needs Now
MCP's July 28 protocol update eliminated session state — and with it, the sticky load balancers, DynamoDB session stores, and Lambda workarounds most AWS MCP deployments were built around.
AWS Acquires DuckLabs and Launches Agentic Resource Discovery: What It Means for Cloud Engineers
AWS's DuckLabs acquisition brings DuckDB into the enterprise stack, while the new Agentic Resource Discovery spec solves the scattered-registry problem for agentic workloads. Both moves matter for platform teams.
AWS EC2 R9g and R9gd Are Now GA: Graviton5's Case for Memory-Optimized Workloads
The R9g and R9gd instance families bring Graviton5's 25% compute performance boost and DDR5 at 8800 MT/s to databases, in-memory caches, and real-time analytics. Here's who should care.
Your AI Agent Is Only as Good as the Harness Around It
AI agents that look compelling in demos routinely fail in production. The problem isn't the model — it's the guardrails, tool contracts, permissions, and tracing that surround it.
The Definitive Guide to Building an AI Factory on Kubernetes for Platform Teams
One GPU fleet, many teams, strict isolation: how to architect multi-tenant AI infrastructure on Kubernetes without hiding the data path behind a leaky abstraction.
How to Implement Predictive Autoscaling for GPU Workloads on Kubernetes
Reactive autoscaling can't keep up with GPU provisioning delays. This framework uses a Bi-LSTM predictor, burst detection, and a graduated scaler to close the gap.
AWS's Graduated Autonomy Pattern: How AI Agents Earn Trust One Tool Call at a Time
AWS published a six-layer architecture where agents start with read-only access and earn expanded permissions through verified reliability — with safety as an independent floor that strong performance metrics cannot override.
Kiro, AWS DevOps Agent, and Dynatrace: How Production Telemetry Gets Baked Into Code Generation
AWS's three-tool stack connects live Dynatrace production telemetry directly to Kiro's code generation — so AI-written changes reflect how systems actually behave, not how docs say they should.
Gallup's Bedrock Coaching Platform: What 7x Prompt Growth Signals About Enterprise AI Adoption
Gallup used Amazon Bedrock, Claude, and RAG to embed workplace research into real-time leader coaching. Since June 2024, prompts grew 7x and engagement depth increased 55%.
Kiro + AWS DevOps Agent + Bluebox: The AI Software Delivery Loop AWS Is Betting On
AWS describes how Kiro, its DevOps Agent, and Dynatrace's Bluebox create a closed feedback loop from spec to production incident response. Human review gates required throughout.
Amazon EC2 at 20: From One Instance Type to 1,200 and What Comes Next
Amazon EC2 launched in 2006 with one instance type. At 20, it offers 1,200+ types and anchors an AI compute infrastructure its founders never anticipated.
How to Migrate AWS Organizations Without Breaking RAM Shares and Lake Formation
When accounts leave AWS Organizations, RAM shares silently break—halting Terraform deployments mid-migration. The bridge-share pattern preserved permissions across 382 accounts.
Why Developers Should Own Their Own Observability (And How to Start)
CNCF's case for shift-left observability: instrument your code while writing it, use zero-code OpenTelemetry for baselines, and add manual spans where it matters most.
The 5-Step Framework for Automated Root Cause Analysis at Cloud-Native Scale
Atlassian's published approach to multi-signal correlation shows how to correlate metrics, traces, and logs to generate ranked RCA hypotheses automatically — narrowing a 200-service search to tens of services within minutes of an incident.
Three-Layer AI Guardrails on Bedrock AgentCore — How AgentFlo Hit +12% Revenue
AgentFlo's Part 2 architecture case study reveals how Cedar policy enforcement, DynamoDB session state, and post-turn output filters combine to deliver measurable revenue uplift at scale.
AWS Glue 6.0: Apache Iceberg v3 and a 30% Price Cut — What Changes for Data Teams
AWS Glue 6.0 lands on Spark 4.1, Python 3.13, and Iceberg v3 with spatial types and VARIANT shredding — plus a 30% hourly rate reduction that applies immediately with no API changes.
CloudFormation Drift Detection: The AWS Blueprint for Governing ClickOps Environments
AWS DevOps published a four-stage maturity framework for converting manually modified infrastructure into governed IaC — with EventBridge-driven drift detection at its core.
Kubernetes at the Edge Has Hit a Wall: Why Fleet Management Is the Answer
Edge Kubernetes deployments face a ceiling that more cluster optimization can't clear — disconnected operation, configuration drift, and scale management require a fleet-first architecture that most organizations haven't adopted yet.
How AgentFlo Built WhatsApp Commerce Agents on Amazon Bedrock AgentCore
AgentFlo's WhatsApp commerce agents serve merchants processing $300B in annual volume — here's the Bedrock AgentCore architecture enabling multi-tenant AI sales at scale.
AWS Retired This EKS Auth Method — and 81% of Clusters Haven't Noticed
AWS deprecated ConfigMap-based EKS cluster authentication, but 81% of clusters still run the legacy method. Here's what the migration window looks like and what's at stake.
Consistency Is the New Latency: What AWS Aurora, DynamoDB, and Keyspaces Teach Us About AI Agent Data
For AI agents, a fast wrong answer costs more than a slow right one. AWS's architecture blog explains why the data layer's consistency model now determines agent trustworthiness — and how Aurora, DynamoDB, and Keyspaces each handle it.
Consistency Is the New Latency: Matching AWS Data Services to AI Agent Workloads
Replication lag silently corrupts AI agent context — an agent that reads stale data makes wrong decisions that can write back to the database, creating cycles of compounding error. AWS architects now have three distinct patterns to match service choice to agent task type.
CNCF Publishes Governance Framework Guidance: Three Models, One Critical Mechanism
CNCF's analysis of 72 projects reveals that organizational-balanced voting — not contributor volume — is the strongest predictor of sustained contributor diversity. The guidance recommends three governance structures based on project size and complexity.