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Thinking on AI in IT operations, autonomous incident resolution, and building infrastructure that runs itself.
When to Take Humans Off On-Call: The Case for Autonomous Incident Remediation
70% of SREs cite on-call stress as a direct contributor to burnout. Better paging software does not fix it. The problem is that humans are in the loop for incidents that do not need them. Here is the case for autonomous remediation — and where the line should be.
Read postYour Monitoring Stack Is Sending Incident Data to Three Clouds You Didn't Choose
Splunk routes to Cisco cloud. Datadog processes on US servers. PagerDuty runs on AWS. Every alert your team fires is leaving your network. Most IT operations teams never audited this. Here is what is actually leaving — and what to do about it.
Read postGartner Magic Quadrant for AIOps Platforms 2025–2026: What It Measures and What It Misses
The Gartner Magic Quadrant for AIOps Platforms is the most cited analyst report in enterprise IT evaluations — and it costs $2,000+ to read. Here is what it measures, who the current leaders are, and three things the quadrant does not cover.
Read postHow IT Operations Managers Build the Business Case for AI Automation in 2026
Downtime costs $300K per hour. Engineer turnover averages $45K per replacement. Manual ticket handling runs $85 each. Here is how IT operations managers are framing the automation conversation in CFO terms — and winning budget.
Read postGeopatriation: Why Enterprises Are Pulling Workloads Off US Hyperscalers
Gartner named it. Microsoft confirmed it under oath at a French Senate hearing. $80 billion in sovereign cloud spending says it is real. What geopatriation means for your IT operations stack — and why the monitoring layer is the gap nobody is talking about.
Read postThe On-Call Crisis: Why Alert Fatigue Is Getting Worse Despite $19 Billion in AIOps Spending
Toil rose 30% in 2025 — the first increase in five years. 61% of teams admit ignoring alerts that later proved critical. 44% experienced an outage from a suppressed alert. The AIOps market just hit $19 billion. Something is not adding up.
Read postAIOps Platforms 2026: Gartner Magic Quadrant Results and What They Miss
IBM and Dynatrace lead the 2026 Gartner Magic Quadrant for AIOps Platforms. Here is what the report does not include: real pricing, self-hosted options, and which platforms actually execute remediation versus just correlate alerts.
Read postKarp Was Right
Palantir's CEO said something has gone completely wrong in AI. After years in enterprise IT operations, I think he's describing exactly what I've watched happen — and why it matters for ITOps specifically.
Read postThe Wrong Turn AI Took in IT Operations
Your infrastructure data is too valuable to hand to an external AI provider. The case for keeping your data, your model, and your control — and what the right architecture for AI in ITOps actually looks like.
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