MTTR Before
5 to 25 hrs
Average MTTR before Hyground
Auto RCA
From Alert to Answer in Minutes, Not Hours
When an alert fires, Hyground investigates immediately and autonomously, querying Kubernetes state, logs, metrics, deployment history, and internal docs in parallel. Your on-call engineer reviews findings and acts, rather than starting from scratch.
Measured outcomes
MTTR After
38 min
Average MTTR with Hyground
Reduced Team Load
95%
Reduction in platform team load during incidents
Reduced Toil
70%
Self-serve resolution rate by non-senior engineers
How an incident flows through Hyground
01
Trigger
An alert fires in Alertmanager, PagerDuty, Datadog, or another source. Hyground receives the signal and begins an investigation immediately, no human required to start the process.
02
Contextual Enrichment
Hyground enriches the alert with surrounding context: which service, which cluster, recent deployments, related past incidents. It builds a picture before diving into data.
03
Multi-Source Investigation
Kubernetes state, application logs, metrics time series, deployment history, and internal documentation are queried in parallel. No waiting for one source to finish before starting the next.
04
Diagnosis
Findings are correlated across sources. Hyground identifies likely root causes, ranks them by confidence, and surfaces supporting evidence from each data source.
05
Post-Incident Feedback Loop
Every investigation produces a structured record, findings, evidence, timestamps. The on-call engineer reviews and acts, then the outcome feeds back into the knowledgebase.
Multi-Agent Architecture
Hyground uses a team of specialised agents that investigate in parallel. Each agent is an expert in its domain. The root agent orchestrates and synthesises.
Root Agent
Orchestrates the full investigation. Decides which specialist agents to invoke and in what order. Synthesises their findings into a coherent diagnosis.
Log Explorer
Searches structured and unstructured logs across Loki, Elasticsearch, and OpenSearch. Identifies anomalies, error spikes, and correlated log patterns.
Metrics Explorer
Queries Prometheus, Grafana, VictoriaMetrics, and Datadog. Identifies metric deviations, rate changes, and saturation signals around the incident window.
Alert Extractor
Pulls alert history, firing conditions, and runbook links. Identifies whether this pattern has occurred before and what resolved it.
Multi-Cluster Manager
Coordinates queries across multiple Kubernetes clusters simultaneously. Useful for incidents where the blast radius spans environments.
Works with your alerting stack
Hyground listens to alerts from your existing alerting platforms and ticketing systems. No new tooling, no migration:
- Alertmanager
- PagerDuty
- ServiceNow
- Jira
- Datadog
- Grafana
- VictoriaMetrics
- Zabbix
Ready to Cut Your MTTR
Tell us about your stack. We will run Hyground against a past incident and show you the diagnosis it would have produced.
See Hyground in action
Check out our sandbox or schedule a demo with our team and experience sovereign AI for DevOps firsthand.