Building your own DIY agent for incident resolution?

→

Building your own DIY agent for incident resolution?

→

Understand what to look out for.

Building your own DIY agent for incident resolution?

→

Understand what to look out for.

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.

Incident Investigation

From alert to evidence-backed root cause in minutes

Incident Investigation

From alert to evidence-backed root cause in minutes

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.

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.

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.

Collect evidence in parallel

Hyground queries every relevant source simultaneously and assembles a cross-stack evidence set.

Collect evidence in parallel

Hyground queries every relevant source simultaneously and assembles a cross-stack evidence set.

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.

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.

Return structured findings

Delivers the findings as a structured report. Every query, every piece of evidence, and every reasoning step is visible and auditable.

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.

Skills

Repeatable investigation playbooks that any engineer can run with a single prompt.

Explore Skills

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Skills

Repeatable investigation playbooks that any engineer can run with a single prompt.

Explore Skills

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Scheduling & Triggers

Auto-trigger investigations from PagerDuty alerts, or schedule nightly pre-checks that catch problems before they become incidents.

Explore Scheduling

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Scheduling & Triggers

Auto-trigger investigations from PagerDuty alerts, or schedule nightly pre-checks that catch problems before they become incidents.

Explore Scheduling

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Real investigation scenarios

Every scenario below represents an actual pattern Hyground investigates, from the 3am page to the silent failure nobody caught.

3 min · to evidence-backed root cause

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.

< 10 min · from alert to diagnosis

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.

1 session · spans all three services

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.

0 context lost · across shifts

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.

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.

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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.

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Map a new CVE blast radius

When a CVE drops, get every affected workload, owner team and upgrade path before the security team asks.

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Map a new CVE blast radius

When a CVE drops, get every affected workload, owner team and upgrade path before the security team asks.

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Triage weekly cloud cost movers

Top deltas across AWS, Azure and GCP with the likely cause and the owning team, ready every Monday morning.

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Triage weekly cloud cost movers

Top deltas across AWS, Azure and GCP with the likely cause and the owning team, ready every Monday morning.

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See Hyground in action

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