01
Scope the investigation
Identify the affected service, parse the alert context, and pick the relevant sources: metrics, logs, traces, deployment history, config changes, related tickets, and runbooks.
Incident Investigation
From alert to evidence-backed root cause in minutes
Hyground investigates incidents the moment they fire, pulling logs, metrics, traces, deploys, and prior incidents in parallel. It returns a likely cause, affected services, supporting evidence, and recommended next actions.
The same incident. A different experience
Good incident response is fast, evidence-driven, documented, and not dependent on one person knowing where to look. Hyground makes that the default.
How it works
When an alert fires, Hyground runs a structured investigation across every connected source in parallel.
02
Collect evidence in parallel
Hyground queries every relevant source simultaneously and assembles a cross-stack evidence set.
03
Correlate and reason
A spike in errors starting at 14:32. A deployment at 14:28. A similar pattern from an incident three months ago. Hyground connects findings across sources and identifies the most likely cause.
04
Return structured findings
Delivers the findings as a structured report. Every query, every piece of evidence, and every reasoning step is visible and auditable.
Want to go deeper?
The building blocks behind every investigation
Skills and scheduling let you codify how your best responders work, and trigger it automatically.
Real investigation scenarios
Every scenario below represents an actual pattern Hyground investigates, from the 3am page to the silent failure nobody caught.
The 3am Database Slowdown
Checkout latency spikes across all regions. Hyground pulls logs, query metrics, and deployment history, traces the cause to a new database query introduced in the payment-service deployment three hours earlier. Evidence and rollback recommendation delivered before the on-call engineer finishes reading the alert.
3 min
to evidence-backed root cause
The Mystery Memory Leak
A service is consuming memory at twice its normal rate. Hyground collects memory metrics, correlates the growth curve against recent deploys, config changes, and traffic patterns, identifies the commit that changed the connection pool size and returns the evidence chain.
< 10 min
from alert to diagnosis
The Config Change That Wasn't
Three services go red within 90 seconds of each other on a Tuesday afternoon. Hyground investigates across all three service boundaries, collects change logs, and identifies that all three share a feature flag that was silently flipped during a routine release.
1 session
spans all three services
The On-Call Handover
Engineer finishing a shift shares their open Hyground session with the incoming team. The handover is not a set of notes, it is a live investigation with collected evidence and reasoning that the next engineer continues from exactly where it was left.
0 context lost
across shifts
Related use cases
Other recurring operations work
Run recurring operations work as code
Codify the operations work senior engineers repeat every week and let Hyground execute it deterministically with a full audit trail.
Map a new CVE blast radius
When a CVE drops, get every affected workload, owner team and upgrade path before the security team asks.
Triage weekly cloud cost movers
Top deltas across AWS, Azure and GCP with the likely cause and the owning team, ready every Monday morning.
See Hyground in action
Try the sandbox, or book a demo to see sovereign AI for DevOps run on your stack.