When deploying hundreds of Windows 11 endpoints managed by Intune, a common issue with BitLocker encryption is that the process sometimes becomes stuck at a certain percentage completion. While manually pausing and restarting the encryption process resolves the issue within minutes, automating this detection and remediation can save considerable time and ensure consistent endpoint security.
Using ControlUp Real-Time Automation Engine (CU4D), such automation is achievable by leveraging scripted detection and remediation. One approach is to create a single script that both detects the encryption status and initiates a restart of the encryption process if it remains stuck at the same percentage. This script can be deployed across all affected devices and scheduled to run periodically, for example, once per day, to identify any stuck BitLocker jobs and resolve them promptly.
A more modular approach involves creating two separate scripts: a detection script and a remediation script. The detection script would check the current encryption percentage, and if it identifies a stuck state, it writes the status to a custom index attribute within ControlUp. An alert can then be configured based on the value of this custom attribute. When the alert triggers due to a stuck encryption status, the remediation script executes automatically to restart the BitLocker encryption, ensuring a timely resolution without manual intervention.
This method harnesses ControlUp's ability to store custom scripted outputs in custom indices and link those to alert triggers, thus providing a robust, automated way to handle encryption stalls on Intune-managed Windows 11 devices. For further details on configuring custom scripts, custom indices, and alerts in ControlUp, administrators can refer to ControlUp's documentation at https://docs.controlup.com and explore automation capabilities in the ControlUp Academy at https://cuacademy.controlup.com.
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Triggers Related Training & Support Archives
Triggers training and support-related archives from inside the ControlUp Community on Slack.
How to Configure Low Disk Space Alerts by Percentage in ControlUp for Devices
In ControlUp for Devices (CU4D), setting up an alert to notify an administrator when any device's OS disk free space drops below a certain threshold can be configured through the Events > Alert Rules section. To create an alert for low disk space, a user needs to define the appropriate category, metric, condition, and value that represent the target threshold.
The recommended approach is to use an alert rule that monitors the free space on the OS disk. While the initial example provided in the community discussion suggested a value-based threshold (e.g., a specific number of gigabytes free), it is also possible to configure an alert based on a percentage of free disk space. This is important for flexibility as percentages provide a more relative and scalable measure across devices with different disk sizes.
To implement this, the alert should be defined in the category related to storage or disk metrics. The metric to monitor would be the percentage of free space available on the OS disk. The condition would then be set to trigger when this percentage falls below a certain value (such as 10%). Once the alert triggers, it can be configured to send an email notification to administrators. Furthermore, ControlUp’s integration with script actions can automate responses to these alerts, such as running a system disk cleanup or presenting a user prompt to clean up space.
For detailed steps and additional options, users are encouraged to refer to the official ControlUp documentation on alert rules and script actions, as well as the ControlUp Knowledge Base and Academy resources at https://docs.controlup.com and https://cuacademy.controlup.com. These resources provide comprehensive guidance on setting conditions, selecting metrics, and automating remediation workflows based on alerts.
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NEW ControlUp Disk cleanup script that actually asks the user what to delete
Chris Twiest demos a new interactive disk cleanup utility built by Sebastien Perusat and now baked into the product. Instead of silently cleaning from the system context, it prompts the end user with what can be reclaimed and lets them choose — recycle bin, temp files, browser cache. Works on Windows and macOS, can be triggered manually or from an alert, writes results to a data index and a device event, and is fully editable. Available in the script library now.
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How to Auto Log Off Idle Users in Azure Virtual Desktop Using ControlUp Triggers and Scripts
Several ControlUp community members discussed how to configure a trigger to automatically log off idle users from Azure Virtual Desktop (AVD) hosts using the ControlUp Agent for Virtual Desktop Infrastructure (VDI). One common solution is to leverage existing trigger packs within ControlUp, which include triggers designed to log off a user session after a specified period of inactivity. These triggers can be customized based on time thresholds that fit the organization’s session management policies.
An example script and detailed guidance were shared from ControlUp’s official script library, which provides automation for disconnecting or logging off idle sessions. This script can be adapted and deployed within ControlUp's automation policies to monitor session activity and log off users automatically when idle thresholds are met. The relevant resource is available at https://www.controlup.com/script-library-posts/disconnect-or-log-off-idle-sessions/.
Additional insights were shared from a ControlUp blog post that focuses on session resource optimization through automation. This post outlines best practices and practical examples of using ControlUp automation to manage session states efficiently, including auto-logout for idle sessions. The blog can be found here: https://www.controlup.com/blog/controlup-automation-session-resource-optimization/.
While native solutions like DaaS IQ might offer built-in functionality for auto-logging off idle users, many organizations have adopted ControlUp triggers as a practical workaround until formal approval or integration of native options is completed. The combination of ControlUp’s flexible triggers and scripting capabilities allows administrators to enforce session timeout policies effectively within AVD environments, optimizing resource utilization and enhancing security.
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How to Create CPU Usage Alerts in ControlUp That Exclude Restart and Boot Spikes
A common challenge in monitoring CPU usage is avoiding false alerts during system restarts or boot periods, when CPU spikes are normal but typically short-lived. One effective method to address this in ControlUp is to configure an alert rule targeting the device_status data index with specific conditions to filter out these transient spikes.
To create a CPU alert that excludes restart or boot-phase spikes, set up a static threshold alert on Devices with a condition such as cpuload > 80 (adjust the threshold based on your environment). The key element is applying a time window and hit count that accommodates short bursts without triggering alerts. For example, use a time window of 600 seconds (10 minutes) and require 5 hits within that period before the alert fires. Additionally, a retrigger delay of 3600 seconds (1 hour) helps reduce repeated alerts for sustained high CPU usage.
This configuration works because CPU usage during boot or restart typically spikes briefly and does not persist long enough to meet the hit criteria within the time window, thereby filtering out most false positives without complex logic. For situations where CPU remains elevated for longer periods during boot—due to updates, login scripts, or heavy startup applications—it is recommended to implement an uptime check or guard. This further refines alerting by ensuring the system has been running beyond a certain uptime threshold before alerts activate.
These steps provide a practical approach to balancing sensitivity and noise in CPU alerting, improving monitoring accuracy in environments where restarts cause predictable, short-term CPU spikes. For more detailed guidance on creating and tuning alert rules, consult the ControlUp documentation at https://docs.controlup.com/alert-rules and consider exploring uptime monitoring techniques available in ControlUp's device health metrics.
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Understanding ALERT RULES Licensing and Usage in ControlUp One EVENTS Tab
Within the ControlUp One platform, the EVENTS tab includes an ALERT RULES section that is specifically designed for ControlUp for Desktops (CU4D). Users who do not have a CU4D license will encounter a license error when accessing the ALERT RULES tab, even though other areas like OVERVIEW and EVENT DETAILS function normally. This is because the ALERT RULES feature is directly tied to CU4D licensing and capabilities.
The ALERT RULES in ControlUp One covers alerting for CU4D, ControlUp for VDI (CU4VDI), and Synthetic Monitoring; however, the creation and management of alert rules within this tab are exclusive to CU4D. For alerting related to ControlUp for VDI and Synthetic Monitoring, users must configure those alerts within their respective products. Once alerts are configured in each solution, they will be aggregated and displayed together in ControlUp One for centralized monitoring.
In summary, the ALERT RULES function in the ControlUp One EVENTS tab is dedicated to CU4D alert creation, and attempting to access this function without the proper CU4D license will trigger a license error. Alert management for CU4VDI and Synthetic Monitoring requires using those individual products’ alerting tools, after which their alerts become visible collectively within the ControlUp One interface. This division maintains clear licensing boundaries and functional segregation across ControlUp’s different monitoring products.
For more information, see ControlUp’s official documentation on alerting and licensing at https://docs.controlup.com and explore the ControlUp Academy for training on alert configuration and best practices at https://cuacademy.controlup.com.
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Investigating Historical Network Usage Spikes and Setting Alerts with ControlUp for Desktops
A user reported a network performance issue at one of their offices where a single computer had downloaded and uploaded several gigabytes of data within approximately the last four hours. They sought a way to determine exactly what data was downloaded and where it was uploaded to after the fact.
ControlUp experts clarified that while ControlUp for Desktops can provide detailed network usage volume information retrospectively, it does not store historical data about the specific destination addresses or detailed process-level network activity. The device’s Performance tab includes historical charts such as Network Usage (MB/s) and Hourly Network Usage (MB), which show the volume of data sent and received over time. This helps confirm the timing and magnitude of a network spike but only at the overall device level, not by specific process or destination.
For live, real-time network connection details—including which process is communicating with which remote IP address—the Network tab and TCP Connections Map can be used. This tab shows detailed, process-to-destination connections but does not retain historical data, so it only helps monitor ongoing network activity. Consequently, if the large data transfer activity occurred several hours ago and is no longer ongoing, ControlUp itself cannot provide retrospective insights into the process or endpoints involved.
To investigate historical transfers of this nature, network security and monitoring should be supplemented with firewall logs, proxy logs, or netflow data, which retain detailed connection records over time. This approach is recommended for network administrators with access to those tools.
For prevention and proactive detection, users can configure static threshold alerts in ControlUp to notify them immediately if network usage exceeds a predefined value in the future. This allows administrators to catch high-volume transfers as they happen and investigate using real-time detail from ControlUp. The documentation for setting static threshold alerts can be found here: https://support.controlup.com/docs/devices-static-threshold-alerts.
Additional guidance on real-time network analysis is available at https://support.controlup.com/docs/live-network-analysis.
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How to Implement Native macOS and Windows Self-Service Disk Cleanup via ControlUp Edge DX Without External Tools
A ControlUp community member developed a native self-service disk cleanup solution for macOS and Windows users, designed to be triggered via ControlUp Edge DX without requiring IT intervention or external tools. The goal was to allow users to safely free disk space through a simple, native dialog that displays current disk usage and offers a checklist of safe-to-clean areas such as Trash, application caches, container caches, logs, Xcode build cache, and old temporary files. Each item is described in plain language and sorted by the space it occupies, allowing users to select and confirm the cleanup themselves.
On macOS, the dialog is implemented using only built-in osascript capabilities—no additional tools like swiftDialog or extra installations are necessary. For both macOS and Windows, the solution emphasizes safety by running a dry-run by default, excluding critical system folders and personal directories such as Documents, Downloads, Keychains, and SSH keys from cleanup. The cleanup operates within the context of the logged-in user, not root, ensuring user-specific data protection. After cleanup, the system verifies the amount of space reclaimed against the actual free volume.
Triggering this cleanup from an Edge DX alert, either automatically due to disk usage thresholds or on-demand, enables a small dashboard that reports on reclaimable and freed disk space, all without requiring elevated permissions, Intune writes, or admin consent. One of the more challenging technical aspects was delivering the cleanup dialog from a root-level agent into the user’s session, given the restrictions of macOS and Windows environments.
The community member shared that while the script could likely be optimized or shortened by more experienced developers, this version works reliably and safely. Detailed setup documentation is available by request. Additionally, to complement the cleanup tool, the developer created an analytics dashboard to track the cumulative space saved by the script. This solution offers a practical way for organizations using ControlUp Edge DX to empower their end users with safe, controlled disk cleanup capabilities, minimizing helpdesk workload without compromising disk security or user privacy.
For more on creating and managing custom alerts and actions within ControlUp Edge DX, consult the official documentation at https://docs.controlup.com/edge and explore ControlUp Academy at https://cuacademy.controlup.com for training on extending ControlUp functionality.
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How to Alert on Added Storage Devices by Drive Letter in ControlUp Using os_disk_configuration Filters
A community member sought assistance with creating a ControlUp trigger or alert to detect when storage devices are added to a physical endpoint and assigned a drive letter or mounted. The data relevant to this event is visible in the ControlUp 4D (CU4D) Performance tab under the Operating System location and stored in the *_devices* index. Specifically, the data is found in the os_disk_configuration field, which contains a JSON array showing details about mounted drives, including drive letters. The user’s challenge was to configure an alert that could detect any newly mounted drive except the system drive C:\ without having to set multiple alerts for every potential drive letter (e.g., D:\, E:\, etc.). They noted the lack of regex support in the filter queries limited their options.
The issue arises because the os_disk_configuration field holds a JSON array with multiple drive entries, and filtering out drive_letter "C:\" naively removes all entries due to the structure of the array. Attempts to use a “does not contain” filter eliminated all Windows devices, only showing macOS devices, complicating detection on Windows endpoints. The user also tried to narrow the focus to removable media but learned that their security team's use case requires alerting on any disk, mounted by drive letter, which remains the best indicator available.
Advice provided during the discussion included adding filters for platform or OS to ensure the alert targets only Windows devices (e.g., platform set to 1 or OS equals Windows). This helped reduce irrelevant results but did not completely solve the filtering problem. Suggestions included playing with additional filters such as combining conditions to exclude drive_letter "C:\" while explicitly including removable devices, though this required trial and error. A recommendation was to test filter configurations in the CU4D index view, including setting the platform to 1 to target Windows devices specifically.
Ultimately, the thread highlights the challenge in using ControlUp’s current filtering capabilities on complex JSON arrays like os_disk_configuration for dynamic drive letters without regex support. The workaround involves narrowing the scope by platform/OS filters and experimenting with composite negation filters, although a straightforward out-of-the-box solution for this specific alert scenario is limited. Users needing comprehensive coverage for any drive letter other than C:\ must create a series of alerts or await enhanced filter features. For now, leveraging the detailed disk configuration data in the *_devices* index with strategic filter layering is the best approach.
For further reading on creating and troubleshooting alerts and filters in ControlUp, users can consult official documentation at https://docs.controlup.com and explore ControlUp Academy resources at https://cuacademy.controlup.com.
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Monitoring CPU Thermal, Power, and Frequency Throttling with Custom ControlUp Scripts and Dashboards
A common challenge in monitoring CPU performance is that traditional CPU utilization metrics often fail to reveal the underlying causes of slowdowns, especially in cases related to thermal or power throttling that reduce CPU frequency without triggering high CPU%. To address this, a detailed custom PowerShell script and accompanying dashboard have been developed to report CPU temperature, frequency, and distinct throttling signals in a granular and actionable way. This solution creates a dedicated data index named `custom_cpu_throttle` to track multiple independent throttling signals, enabling more precise diagnostics of CPU performance issues.
The core innovation of this approach lies in splitting CPU throttling indicators into three separate categories: thermal throttling (hardware/BIOS-related issues such as overheating or dust), power throttling (policy-related causes like power plans, Intune profiles, or BIOS max-state configurations), and frequency throttling (cases where the CPU clock speed drops below 85% of the rated max under load, capturing otherwise silent throttling scenarios common on AMD processors or CPUs with boost frequencies). By differentiating these factors, the method captures scenarios where traditional Event ID 37 logs or CPU utilization metrics miss critical performance degradations.
The script captures a range of per-device metrics during each run, including temperature and its source, throttle status types, current and maximum CPU frequency with a ratio percentage, and comprehensive throttling evidence logs that correlate performance drops with frequency and utilization data. This data feeds into a customizable ControlUp dashboard that aggregates key performance indicators, categorizes throttle types, tracks frequency trends, and identifies devices exhibiting the hottest or most throttled behavior. The dashboard also correlates these metrics with user experience signals like application crashes and digital employee experience (DEX) scores, enabling targeted troubleshooting from a single pane of glass.
Technical details specify that the solution runs on Microsoft Windows devices using PowerShell scripts triggered every two minutes (120 seconds) with a 60-second timeout and sends data to the `custom_cpu_throttle` index only when devices are online. The solution supports filtering by device, throttle type, and status for focused analysis. While the script covers many AMD-specific throttling scenarios, some complexities remain given AMD's diverse behaviors, though unrealistic values are filtered out to maintain accuracy. This tool is well-suited for IT administrators and helpdesk teams looking to resolve performance tickets where CPU utilization appears normal but throttling impacts response times, such as in Outlook or other user-facing applications.
For detailed setup or a walkthrough, the script (`SP-CPU-Throttle-v2.ps1`) and ControlUp dashboard configuration (`SP-CPU-Throttle-Dashboard.json`) are available on request. This solution is an example of extending ControlUp’s monitoring capabilities via custom scripts and dashboards to deliver deeper insights into CPU performance issues that go beyond default instrumentation.
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