root / ops-playbook / automation
We don't write traditional "break/fix" guides. Every playbook takes an everyday, high-volume IT problem and solves it using modern innovation—Automation, AI, Zero-Trust, Self-Service, or Proactive Remediation.
Operational domains
Each domain groups automation patterns, deployment controls and escalation logic around a recognisable service-desk workload.
Shell, zsh, launchd, APIs and remediation workflows that remove repetitive macOS support work.
Open domainEnterprise macOS operations covering Apple Business Manager, device management, security, application lifecycle and automation.
Open domainCopilot integration, automated ticket triage, and AI-driven remediation that turns Level 1 into a self-healing system.
Open domainDistributed Edge Platforms, Global State Desynchronisation, Edge Budget Overruns
Open domainAutomated enrolment, declarative management, MDM profiles, inventory and fleet health for managed Macs.
Open domainAutopilot, ABM, PowerAutomate, Zapier, and webhooks that remove the engineer from repetitive provisioning loops.
Open domainTeams Rooms, Zoom Rooms, Universal Print, and Cloud PC playbooks for the frictionless digital workspace.
Open domainPackaging, deployment, updates, patch compliance and removal workflows for enterprise Mac applications.
Open domainServer-Side WebAssembly, Kernel-Level Telemetry, Sidecarless Service Meshes
Open domainVector Database Failures, GPU Cluster Orchestration, LLM Data Pipeline Stalls
Open domainFileVault, platform SSO, endpoint controls, compliance evidence and recovery-safe macOS security operations.
Open domainFix issues before users notice them. Endpoint Analytics, telemetry, and performance baselines that eliminate reactive tickets.
Open domainFIDO2, Windows Hello, biometrics, and self-service authentication — eliminate the password reset ticket permanently.
Open domainPractical automation and proactive remediation for this operational domain.
Open domainCross-Provider Networking, Split-Brain Cloud Failovers, Multi-Region Transit Loops
Open domainProgrammatic Cloud Blueprints, Type-Safe Infrastructure Testing, State File Race Conditions
Open domainPlaybook archive
Design, implement and safely recover one Proactive Experience (DEX) workflow in Microsoft Intune, with guardrails, validation and measurable outcomes.
A bounded, evidence-led method to design, deploy and safely recover an AWS Lambda serverless/edge workflow with guardrails, validation and rollback.
A bounded, evidence-led playbook for safely designing, validating and recovering Kubernetes-based cloud-native primitives, with guardrails and rollback.
A structured, evidence-based method for choosing between Kandji, Jamf and other macOS MDM platforms using bounded pilots and measurable rubrics.
A safe, bounded playbook for moving FileVault from ad-hoc enablement to managed Security & Compliance, with escrow validation, rollback and a measurable cadence.
A bounded, evidence-led guide to designing, validating and safely rolling back a real-time AI infrastructure routing workflow built on OpenRouter.
Design, validate and safely roll back a bounded AWS Lambda workflow with least-privilege roles, version pinning and concurrency guardrails for operators.
A bounded Bash automation workflow for macOS: least-privilege design, dry-run and canary validation, explicit rollback and measurable operational outcomes.
Design a reversible, RBAC-scoped Kubernetes CRD and controller pattern to turn recurring operational tasks into repeatable, auditable primitives.
Design, implement and safely recover a bounded AI Helpdesk triage workflow using Microsoft Copilot, with guardrails, validation and rollback.
Design, implement and safely recover a bounded Windows Autopilot zero-touch automation workflow with role-based guardrails, validation and rollback.
Move recurring Category 605 tasks from manual Linux execution to a validated, least-privilege systemd workflow with guardrails, rollback and measurable outcomes.
Every playbook identifies permissions, test scope, verification evidence and rollback controls.
Detection and remediation logic targets work that should not require another manual ticket.
Human support is reserved for failures automation cannot safely resolve, with diagnostic context attached.
