- contact@insightairesolve.com
How on-call actually works today, where AI genuinely helps and where it does not, and worked runbooks for the alerts teams see most — with the evidence, the diagrams and the screens.
Six tools, four teams, one pager at 3am
The ground truth For ops & support leadersAnd the handoff where most of the time goes
The ground truth For every readerForty-one minutes, and thirty-four of them were lookup
The ground truth For every readerAn honest split between the parts worth automating and the parts that are not
The ratio every CIO reports, and the part of it nobody itemises
The operating model For CIOs & technology executivesKey-person risk, and turning tacit knowledge into an asset you own
The operating model For CIOs & technology executivesBounded, evidence-backed, reversible — and it produces its own audit trail
The operating model For CIOs & technology executivesWhy tool consolidation never finishes, and what to do instead
The whole loop, and what happens at each step
How InsightResolve solves it For platform & tech leadsWhy a wiki page cannot be executed, and what to turn it into
How InsightResolve solves it For platform & tech leadsWhy every conclusion is checked against its own evidence before anything acts on it
How InsightResolve solves it For every readerConsumer lag, queue depth, and the discipline of waiting
How InsightResolve solves it For every readerWhat an agent may do on its own, and what it must ask about first
A worked runbook that watches a backlog drain and does nothing
Use cases by signal For platform & tech leadsCorrelating a release with a spike, and the claim that stays assumed
Use cases by signal For platform & tech leadsSaturation, slow dependencies, and the evidence that separates them
Use cases by signal For platform & tech leadsAnd the one where an agent should still ask before restarting
Use cases by signal For platform & tech leadsAirflow, dbt, and upstream freshness as the first question
Use cases by signal For platform & tech leadsThe alerts that arrive with hours of warning, and why they still surprise people
CloudWatch alarms, EventBridge events, ECS and load-balancer health
Stacks and clouds For platform & tech leadsThe Common Alert Schema, Log Analytics and Resource Health
Stacks and clouds For platform & tech leadsCloud Monitoring, Cloud Logging, and Error Reporting as deploy correlation
Stacks and clouds For platform & tech leadsMonitoring alarms through Notifications, and MQL for evidence
Stacks and clouds For platform & tech leadsAnd ServiceNow as the system of record underneath
The honest arithmetic, including the parts that argue for building
Adopting it For ops & support leadersA sequence that earns trust before it asks for it
Adopting it For ops & support leadersMTTR, runbook coverage, false-positive rate, and the metric most teams miss
The whole demo stack runs from one compose file: Prometheus, Alertmanager, Grafana, a PagerDuty stand-in and InsightResolve, seeded and ready.
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