Notes on building the reasoning layer
Essays, company updates and research highlights from the Raincurve team.
Why infrastructure needs a reasoning layer
We have spent twenty years getting better at collecting telemetry. The bottleneck has moved to understanding it.
The incident is cross-layer. The tooling isn't.
Organizations are divided by layer. Failures are not. What changes when the unit of analysis is the dependency, not the component.
Autonomy you can audit
Automated remediation is coming to infrastructure. The question is not whether to trust the model — it is how to check every action it proposes.
All posts
Why infrastructure needs a reasoning layer
We have spent twenty years getting better at collecting telemetry. The bottleneck has moved to understanding it.
The incident is cross-layer. The tooling isn't.
Organizations are divided by layer. Failures are not. What changes when the unit of analysis is the dependency, not the component.
Autonomy you can audit
Automated remediation is coming to infrastructure. The question is not whether to trust the model — it is how to check every action it proposes.
Why alarm correlation needs a causal model, not a time window
Rule engines group alarms by closeness in time and space. We look at what that misses when background noise rises, and what a self-exciting model does differently.
What trading desks can teach a NOC about rollout pacing
Optimal execution and network remediation share the same trade-off: move fast and pay in churn, move slowly and pay in exposure.
Runbooks are not proofs: checking actions against live state
Most unsafe maintenance actions look safe in isolation. Here is why the check has to see in-flight work and lost backup paths.
Inside Curve-1: from raw telemetry to ranked hypotheses
A walkthrough of the four stages that turn fragmented operational signals into an explainable root-cause ranking.