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Infrastructure Monitoring and Incident Response

Turn Alerts Into Answers.

You already have monitoring. What you are missing is the twenty minutes of investigation that happens after every alert. StackHeal connects your monitoring signals to automated diagnosis and to the remediation workflows you have approved — so an alert arrives with findings attached.

  • Correlate related signals into one incident
  • Run the first-line investigation automatically
  • Remediate within approved boundaries only

Alert investigation

Open · 4 min

Memory pressure · db-02

zabbix · trigger 7714 · warning

91%threshold 85%

  1. Correlated with 3 related signals
  2. Collected process and query snapshot
  3. Matched runbook: connection pool growth
  4. 4Awaiting engineer decision on restart
Illustrative interface preview with sample data.

Benefits

What happens between the alert and the engineer

Fewer alerts, more incidents

Related signals across hosts, services and tenants are grouped so the on-call engineer sees one incident with context, not forty notifications.

First-line investigation already done

Logs, process state, recent changes, dependency health and historical occurrences are gathered the moment an alert fires.

Known problems handled by workflow

The recurring issues you already know how to fix get a remediation workflow. The alert still gets recorded — it just does not need waking anyone.

A real record of what was tried

Each investigation and action is logged in order, which makes the post-incident review something you read rather than reconstruct.

How it works

From signal to resolution

Diagnosis is automatic. Action is bounded by policy.

  1. 01

    Signal intake

    Alerts arrive from your monitoring stack via webhook or API, with the asset, severity and trigger preserved.

  2. 02

    Correlation

    Signals that share an asset, a dependency or a time window are grouped into a single incident so the cause is easier to see.

  3. 03

    Guided investigation

    A diagnostic workflow runs the read-only checks an engineer would run first, and matches the pattern against your runbooks and past incidents.

  4. 04

    Bounded remediation

    Where a matching remediation is approved for that asset class, it runs. Where it is not, the incident escalates with the findings attached.

  5. 05

    Verification and closure

    The original symptom is re-tested. Resolved incidents close with evidence; unresolved ones stay open and visible.

Example workflows

Example response workflows

Start with the alerts your team sees most often and already resolves the same way.

Disk filling up

Trigger: Capacity threshold crossed on a monitored volume

  1. 1Identify the largest consumers and growth rate
  2. 2Project time until full
  3. 3Apply the approved cleanup for that asset class
  4. 4Re-measure and update the projection

Outcome: Either pressure relieved with before-and-after evidence, or an escalation that already explains what is growing and how fast.

Service degradation

Trigger: Latency or error-rate alert on a monitored service

  1. 1Confirm independently from a second vantage point
  2. 2Collect recent deployments and configuration changes
  3. 3Check dependency and database health
  4. 4Capture a diagnostic snapshot

Outcome: An incident that names the likely cause and includes the evidence, rather than an alert that says the service is slow.

Host unreachable

Trigger: Ping or agent heartbeat lost

  1. 1Distinguish a monitoring-path failure from a host failure
  2. 2Check hypervisor and power state
  3. 3Check neighbouring hosts for a shared cause
  4. 4Page on-call if the host is genuinely down

Outcome: Fewer false pages for network blips, and faster escalation when a host really has failed.

Certificate and expiry watch

Trigger: Certificate, licence or domain approaching expiry

  1. 1Identify the owning service and tenant
  2. 2Attempt the approved renewal workflow
  3. 3Verify the new certificate is served correctly

Outcome: Renewals handled before the outage, with verification that the replacement is actually live.

About these examples

These describe workflow patterns the platform is designed to run, with the steps a team would configure. They are illustrations of the product model — not recordings of a specific customer deployment.

Compatibility

Integrations this product uses

Systems connect through maintained connectors or through their own APIs and webhooks. Check the directory for each system's current status.

Monitoring and alerting

  • Zabbix
  • Prometheus Alertmanager
  • Grafana Alerting
  • Nagios-family checks
  • Uptime and synthetic checks

Context sources

  • Hypervisor and cloud APIs
  • Log search backends
  • Change and deployment records
  • Asset inventory

Where incidents go

  • Service desk tickets
  • On-call and paging tools
  • Chat channels
  • Webhooks

Controls

Security and operational controls

An automated responder with unbounded reach is a liability. Scope is the feature.

Security overview

Read-only by default

Diagnostic workflows are restricted to read operations. Anything that changes state is a separate, explicitly permitted action.

Blast-radius limits

Cap how many assets a single remediation may touch, and how often it may run, before it must pause for a person.

Maintenance awareness

Planned maintenance windows suppress response workflows so automation does not fight a change that is already underway.

Escalation guarantees

If a workflow cannot verify a fix, it escalates. An unverified outcome is never recorded as resolved.

Related products

StackHeal products share one workflow engine, one action catalogue and one run history.

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Infrastructure Monitoring questions

The questions we are asked most often in evaluation calls.

Something not covered here? Ask our team.

Ready to try infrastructure monitoring against your own workflows?

We will scope a proof of concept around one or two of the request types your team handles most often, and show you what the run history looks like.