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Most IT issues don’t start as incidents.
They start as small deviations that go unnoticed.
Disk space slowly fills up.
A service stops and doesn’t restart.
CPU usage stays high just long enough to cause complaints.
Thresholds and auto-healing in Atera exist to deal with these exact situations — not outages, not complex failures, but the repetitive, predictable problems that waste technician time.
A threshold in Atera is simply a rule:
“If this condition happens, do something.”
The condition might be:
Thresholds don’t diagnose.
They don’t investigate.
They just watch.
Most teams don’t create dozens of thresholds.
They create a small, stable set that covers:
Once configured, these thresholds quietly monitor every assigned device.
When nothing happens, nothing happens.
When a condition is breached, Atera reacts.
A threshold breach always creates an alert.
What happens next depends on configuration.
Auto-healing doesn’t replace alerts.
It acts immediately instead of waiting.
Auto-healing scripts in Atera are not special scripts.
They are regular scripts that you explicitly attach to a threshold.
Common examples:
You can attach up to three scripts to a single threshold item, and they run sequentially.
Nothing runs unless:
Supported Platforms (Important for Planning)
Auto-healing scripts run on:
Linux devices can be monitored, but auto-healing via thresholds is limited.
This matters for MSPs managing mixed environments and for internal IT teams planning consistency.
AI Copilot does not automatically create thresholds.
What it can help with:
The threshold logic itself remains rule-based and predictable.
This is intentional.
Because it’s deterministic.
You know:
There’s no guessing.
For MSPs, this reduces ticket volume.
For internal IT, this prevents “background noise” incidents.
Good teams don’t auto-heal complex issues.
They don’t auto-heal:
Auto-healing is for:
That’s where it works best.
Every auto-healing action:
Nothing is hidden.
If a script fails, it’s visible.
If it succeeds, it’s recorded.
This is critical for audits and reviews.
MSPs typically use thresholds to:
They don’t advertise auto-healing to clients.
They use it quietly to keep environments stable.
Internal IT teams use thresholds to:
It’s about control, not automation for its own sake.
Thresholds don’t make IT smarter.
They make it quieter.
And quiet environments are easier to manage.
Reduce background noise without adding complexity → Schedule a 30-minute Atera thresholds session.

In Atera RMM, thresholds are predefined monitoring rules that continuously watch specific device conditions such as CPU usage, disk space, service status, or security events. When a condition crosses the defined limit, Atera generates an alert and triggers any configured follow-up actions.
Auto-healing in Atera uses scripts attached to threshold rules to automatically resolve known issues when a threshold is breached. Alerts notify technicians, while auto-healing attempts to fix the issue immediately without waiting for manual intervention.
Atera auto-healing scripts are commonly used to address predictable, repeat issues such as clearing temporary files, restarting stopped services, resetting applications, or performing routine cleanup tasks. They are best suited for known problems with reliable fixes.
No. Threshold creation and configuration in Atera remain manual and rule-based. Atera AI Copilot can help explain alerts or summarize why a threshold triggered, but it does not automatically create, modify, or enforce threshold logic.
Atera auto-healing scripts triggered by thresholds are supported on Windows and macOS devices. Linux devices can be monitored with thresholds, but automated remediation through threshold-based scripts is limited.
Yes. Every auto-healing action executed in Atera is logged in the device activity history. This includes script execution status, timestamps, and results, allowing teams to review what ran and verify outcomes during audits or incident reviews.
MSPs use Atera thresholds and auto-healing to reduce repetitive tickets, stabilize client environments, and protect SLA response times. These automations are usually kept internal and focused on routine maintenance rather than complex incident handling.
Only if they are poorly designed. Atera requires scripts to be explicitly approved and attached to thresholds by administrators. Because execution is deterministic and logged, teams retain full control and visibility over what actions run and when.

Anas is an Expert in Network and Security Infrastructure, With over seven years of industry experience, holding certifications Including CCIE- Enterprise, PCNSE, Cato SASE Expert, and Atera Certified Master. Anas provides his valuable insights and expertise to readers.
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