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關於 AI 基礎設施、MLOps、模型以及上線生產的實操指南。
LLMs Write Code, But Don't Fix Silos
Generative AI is changing how software gets built by shifting where developer skill is applied. The thesis is straightforward: LLMs accelerate code production…
Blast Radius Analytics
The Complexity of Modern Distributed Microservices Modern banking, healthtech, and tax platforms are no longer monoliths. They are composed of hundreds of…
Beyond Unit Tests: Testing How Your System Fails and Recovers
Unit tests prove a function is correct, not that a system survives a slow database or a lost zone. A practical guide to cold-start integration tests, fault injection with Toxiproxy, circuit breakers, recovery drills and safely automated mitigation.
AI's Double-Edged Impact on DevOps: Faster Changes, Shakier Releases
DORA's research links AI adoption to lower delivery stability. A new simulation shows why: AI-written code overloads review and enlarges deployments, while CI agents can mask defects. Here is how to measure it and keep the speed.
Gateway API Shifts Cluster Networking: An Ownership Model for the Edge
Ingress is frozen and Ingress NGINX is retired. Gateway API replaces one shared object with resources owned by platform and application teams, joined by explicit handshakes. Here is what that means for platform design, RBAC, topology and CRD ownership.
Agentic AI in Production: Permissions, Approval Gates, Traces and Evals
A practical playbook for running AI agents in production: classify every tool by side effect, gate mutations behind a human, set hard stop conditions, trace each step with OpenTelemetry and evaluate continuously.
MCP for DevOps: Give Agents Pipeline Context Without the Keys
How platform teams can use the Model Context Protocol safely: start with read-only servers and scoped identities behind a gateway, trace every tool call, and add write tools only behind human approval. Includes RBAC, tool and task examples.
Gemini 4 Argon: What It Means for Your Team, and Where to Use It First
Gemini 4 Argon is built to work for hours on one measurable problem. Here is what shipped, the real costs, and how to pilot it safely on your own backlog.
Balinder Walia閱讀 
AWS Resilience Hub: Keep Workload Scope and Recovery Targets Aligned
A practical guide to the September 2026 Resilience Hub features: scope EKS services with labels, use dependency discovery and insights to find hidden coupling, classify hard and soft dependencies, and share one resilience policy across AWS accounts.
