A cloud-native development operating model turns delivery into a paved road for the common case—automated, observable, and governed—while keeping exceptions explicit and reviewable.
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Platform engineering vs DevOps isn’t either/or. Use the right operating model for the bottleneck you actually have—ownership and feedback loops for DevOps, and self-service to reduce delivery toil for platform engineering.
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Agent autonomy boundaries turn “let the agent decide” into an operational policy: decide what it can do, escalate what it must route, stop real execution paths, and review scope changes to prevent autonomy creep.
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The agent loop should think and propose. The agentic system control plane should decide—enforcing policy, approvals, audit logging, retries, rollback/compensation, and escalation before side effects happen.
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In a safe production agentic system, the agent loop proposes actions while the control plane enforces policy, manages approvals/retries, records audit state, and contains failures.
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A cost-aware architecture review helps teams make durable cloud economics decisions during design—using clear triggers, an eight-area checklist, decision records, and revisit signals.
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Cloud costs are often locked in by architecture decisions. This cloud economics architecture review framework helps teams document cost drivers, reliability tradeoffs, owners, and follow-up measurement—without turning design review into finance gate
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A practical boundary guide for Terraform modules for Kubernetes: keep what operators must see in root modules, encapsulate stable decisions in child modules, and prevent opaque abstractions.
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A safer AI support triage bounded workflow uses the model for structured proposals while deterministic software validates routing, logs auditable traces, and escalates uncertain or policy-sensitive cases to humans.
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