Cloud · Infrastructure · Automation · AI

Operational knowledge for technical systems.

Naxaya turns architecture choices, failure modes, implementation patterns and runbook-level checks into practical technical notes for teams that need systems to stay explainable after deployment.

Azure WAF Private DNS AWX Linux AD Private AI
naxaya.field-notes operational view
Current focus Azure WAF operations

Read blocked requests in KQL, qualify false positives and apply targeted rules with evidence.

Architecture Private paths

DNS, Private Endpoint, Application Gateway and validation matrices.

Runbooks Operate safely

Automation guardrails, restore checks, identity troubleshooting and handover notes.

Evidence before exception Validation before rollout Runbook before incident
Incident of the day A private AI agent can act but nobody can explain the action

Symptom: A private AI agent can act but nobody can explain the action. First checks: List approved sources · Trace tool calls.

Open diagnosis

01

Architecture that can be operated

Design choices are written with their constraints, validation commands, failure modes and return paths.

02

Automation with guardrails

AWX, Ansible and scripts are treated as operational interfaces, not just convenient execution buttons.

03

Private AI with controls

Agent workflows stay grounded in approved sources, scoped identities, observable actions and human validation.

Focused series

Operational paths, grouped by problem.

Each series follows a concrete path from the initial symptom or design choice to validation, guardrails and production-ready runbooks.

View all series

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