Announcing Automated Diagnostics: Reduce MTTR with Instant, Data-Driven Troubleshooting
Stop hunting for missing data. Automated Diagnostics captures real-time insight the moment alerts fire, making troubleshooting faster and far less painful.
Automated Diagnostics closes the gap between detection and diagnosis instantly.
Capture evidence at the moment of impact. Scripts run the second an alert fires, preserving logs, processes, and queries before they disappear.
Cut MTTR without adding headcount. Engineers skip manual triage and move straight to resolution.
Turn alerts into insight. Diagnostics attach directly to alerts with full history and audit trails.
More than faster troubleshooting. Automated Diagnostics is the foundation for autonomous operations—diagnosis today, remediation next.
Every IT operations team knows the pressure. When an alert hits at 2 a.m., it’s a race against time to find the root cause before users feel the impact. But gathering diagnostic data such as logs, process stats, and thread dumps can eat up critical minutes.
That manual lag is exactly what Automated Diagnostics eliminates.
LogicMonitor’s new capability automates the data-collection step of troubleshooting, enriching alerts with actionable diagnostic context the instant they trigger. The result: faster mean time to resolution (MTTR), reduced alert fatigue, and fewer late-night firefights.
Why We Built Automated Diagnostics
You asked, we listened! While LogicMonitor already excels at monitoring and alerting, users requested a way to close the gap between detection and diagnosis.
Automated Diagnostics was designed to do just that by automatically running diagnostic scripts when an alert occurs, capturing real-time context before it disappears.
We wanted to help customers troubleshoot faster, reduce MTTR, and sometimes even resolve issues before anyone’s alerted to a problem.
Ed McGowan
Product Manager, LogicMonitor
How It Works
At the center of Automated Diagnostics is a new module type called DiagnosticSources. These define what diagnostic data to collect and how to collect it, whether manually or automatically, whenever a relevant alert fires.
Key Capabilities
Automated or manual execution: Trigger scripts on alert or run them ad-hoc.
Alert enrichment: Diagnostic results attach directly to the alert for immediate visibility.
Historical context: View previous diagnostic data for recurring alerts.
RBAC and portal-level controls: Ensure safe, authorized automation.
Full audit trail: Every execution is logged with user and resource details.
Real-World Example: No More Lost Evidence
Imagine your database server spikes to 95% CPU. By the time your on-call engineer checks the alert, the spike is gone, and so is the data you need.
With Automated Diagnostics, LogicMonitor runs a predefined script the moment that CPU threshold is crossed, capturing:
The top processes consuming CPU
Running queries and connection counts
Thread dumps for analysis
When the engineer logs in, all that information is waiting in the alert details. No manual steps. No missing data. Just the insight needed to act fast and take the steps needed to resolve the issue.
Output from a Diagnostic Source execution
Built for Practitioners, Secured for Scale
Automation doesn’t mean loss of control. Automated Diagnostics is designed with enterprise-grade governance:
Granular permissions determine who can view, edit, or execute diagnostics.
Property-based resource rules limit where scripts can run.
Credential isolation ensures safe execution without shared credentials.
Comprehensive logs provide traceability for every diagnostic event.
This keeps automation intentional and your environment protected.
Out-of-the-Box Diagnostic Modules
To help teams get started fast, LogicMonitor includes these OOTB DiagnosticSources for common troubleshooting needs:
Top CPU and memory processes
Top bandwidth-consuming applications
Top database queries
Database blocked processes
Network traceroute
Network interfaces
Top critical and error events
Recent user privilege changes
You can test, view, or export results directly from the module interface. More custom modules—and eventually, Automated Remediation—are already on the roadmap.
The Bigger Picture: From Diagnostics to Remediation
Automated Diagnostics lays the foundation for automated problem resolution with complete workflows that identify, diagnose, and remediate issues in one continuous loop.
In upcoming releases, these same modules will evolve to perform automated remediation steps, closing the loop from alert to action.
And because Automated Diagnostics integrates with Edwin AI, LogicMonitor’s agentic AIOps product, every diagnostic run helps AI Agents learn: informing smarter recommendations and future automation paths.
Why Now: The Shift to Intelligent Automation
Today’s hybrid IT environments are too complex for manual triage. Engineers are stretched thin, alert volumes are rising, and downtime costs are escalating.
By embedding intelligence and automation directly into the alerting workflow, Automated Diagnostics empowers teams to:
Reduce MTTR by automating data collection and triage.
Boost operational efficiency through consistent, scriptable diagnostics.
Strengthen reliability by capturing root-cause data before it’s lost.
Unlock observability ROI by reducing human time spent on repetitive tasks.
It’s the next step in LogicMonitor’s mission to deliver hybrid observability powered by AI, and a key milestone on the path to autonomous operations.
Existing customers can access a limited number of DiagnosticSource executions depending on their license tier, while expanded execution packs are available for high-volume or MSP environments.
Want to see Automated Diagnostics in action?
Request a demo to experience how it can help your team troubleshoot faster, reduce MTTR, and focus on what really matters: delivering reliable, high-performing services.
What’s the difference between Automated Diagnostics and Automated Remediation?
Automated Diagnostics identifies the root cause by automatically collecting data when an issue occurs. Automated Remediation will take that insight further—executing corrective actions automatically to resolve the issue before users are impacted.
Why is Automated Diagnostics important for hybrid observability?
Hybrid environments are complex and dynamic, spanning on-premises and cloud systems. Automated Diagnostics ensures observability keeps up with that complexity by providing real-time, actionable data the moment issues arise—helping teams stay proactive, reduce downtime, and improve overall service reliability.
What is Automated Diagnostics in LogicMonitor?
Automated Diagnostics is a LogicMonitor feature that automatically runs diagnostic scripts when alerts fire. It captures real-time troubleshooting data—like top CPU processes, memory usage, queries, and logs—and attaches that data to the alert. This gives engineers immediate context to resolve issues faster without manual data collection.
How does Automated Diagnostics reduce MTTR?
Automated Diagnostics reduces mean time to resolution (MTTR) by eliminating the delay between alert detection and root cause analysis. Instead of waiting for engineers to log in and manually collect diagnostic data, LogicMonitor gathers and surfaces that information instantly—so teams can start troubleshooting the moment an alert appears.
By Tom Chaves
Principal Product Marketing Manager
Disclaimer: The views expressed on this blog are those of the author and do not necessarily reflect the views of LogicMonitor or its affiliates.
