Read blocked requests in KQL, qualify false positives and apply targeted rules with evidence.
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.
naxaya.field-notes operational view
DNS, Private Endpoint, Application Gateway and validation matrices.
Automation guardrails, restore checks, identity troubleshooting and handover notes.
Evidence before exception Validation before rollout Runbook before incident
Incident of the day Azure Managed Redis connections surge while application requests time out
Open diagnosis Symptom: Azure Managed Redis connections surge while application requests time out. First checks: Freeze the release, replica count and incident window · Compare connected clients, server load and useful operations.
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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.
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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.
Latest articles
Azure Bastion: diagnose native client access before opening RDP or SSH
A production runbook for separating local client, SKU, tunneling, RBAC, NSG and guest-service failures when Azure Bastion native access breaks.
Read articleAzure Managed Grafana: diagnose API access before recreating a token
A production runbook for separating expiration, audience, Grafana role and deployed-secret drift when Azure Managed Grafana automation receives a 401 or 403.
Read articleAgentOps: diagnose MCP tool shadowing before a production action
A production runbook for detecting MCP tool collisions, proving which tool the agent actually selected and validating a canary catalog before any sensitive action.
Read articleAzure AI Search: diagnose a partial indexer failure before resetting it
A production runbook for separating source, tracking, skillset and document failures in Azure AI Search before rerunning, targeting recovery or resetting the indexer.
Read article