Editorial archive
A publication for maintenance leaders who need traceable evidence, not generic advice.
Field notes on MEP reliability, predictive maintenance, playbooks, and the operating practices that keep AI-hyperscale facilities out of trouble.
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Preventive vs. predictive maintenance in 2026: the tool stack behind informed decisions
Read more: Preventive vs. predictive maintenance in 2026: the tool stack behind informed decisionsIn 2026, the maintenance conversation is shifting from calendar-based work to condition-based decisions, and the real differentiator is the software stack behind the workflow.
Recent field notes
- Preventive vs. predictive maintenance in 2026: the tool stack behind informed decisionsIn 2026, the maintenance conversation is shifting from calendar-based work to condition-based decisions, and the real differentiator is the software stack behind the workflow.
- How to build a maintenance playbook operators will actually useA maintenance playbook works best when it reduces ambiguity, clarifies ownership, and connects directly to the calendar and handoff process.
- The AI Data Center Operating Playbook: What Must Be Ready Before Go-LiveA practical operating playbook for AI data centers covering workload behavior, power and cooling coordination, digital-twin simulation, tested procedures, and responsible use of AI in operations.
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Latest field notes
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Read more: Preventive vs. predictive maintenance in 2026: the tool stack behind informed decisions
Preventive vs. predictive maintenance in 2026: the tool stack behind informed decisions
In 2026, the maintenance conversation is shifting from calendar-based work to condition-based decisions, and the real differentiator is the software stack behind the workflow.
-
Read more: How to build a maintenance playbook operators will actually use
How to build a maintenance playbook operators will actually use
A maintenance playbook works best when it reduces ambiguity, clarifies ownership, and connects directly to the calendar and handoff process.
-
Read more: The AI Data Center Operating Playbook: What Must Be Ready Before Go-Live
The AI Data Center Operating Playbook: What Must Be Ready Before Go-Live
A practical operating playbook for AI data centers covering workload behavior, power and cooling coordination, digital-twin simulation, tested procedures, and responsible use of AI in operations.
-
Read more: The AI Data Center Goes Live Before the Operating Model Is Ready
The AI Data Center Goes Live Before the Operating Model Is Ready
AI hyperscale sites can go live before SOPs, MOPs, EOPs, and predictive maintenance baselines are mature enough to absorb inference, LLM, and cluster validation workloads.
A publication built for operators
Each issue links field practice, executive context, and the money behind maintenance quality.
If the maintenance calendar, playbook, and handoff process are aligned, the facility becomes less vulnerable to avoidable loss events.
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