Blogs

Building a Custom Patching Dashboard for Technicians in BrightGauge.

By Arti Bajpai posted 04-16-2024 04:16 PM

  

Building a Custom Patching Dashboard for Technicians in Bright Gauge. 

Overall Patching


Dataset: OS Patch Assessment – Windows (This dataset contains detailed results of the OS Patch Assessment which we run on endpoints. It contains crucial information like the patch release date, KB ID, Latest patch status, patch title, NOC recommendation, etc. Data is collected at the end of each day and reported daily)

Type: Pie

Measure: id – Client Name.

Dimensions: Patch Status  

Filters: Patch Status – Missing, Installed, Pending Reboot

Design: Color thresholds Patch Status (Missing: Red; Installed: Green; Pending Reboot: Yellow, Label

Drilldown: Client Name: Friendly Name, Endpoint Type, Patch Status, Severity, Latest Patch Title, Last assessed, Installed Date, NOC Recommendations, Latest Reboot Behaviour Name.


Sites less than 50% Compliance


Dataset: OS Patch Compliance (This dataset contains summarized details about the compliance score of each endpoint. Compliance displays a scoring percentage based from patches installed or missing per the policy. This dataset contains additional details like compliance percentage, compliance percentage by policy, last assessed date OS name, etc. Data is available for the last 4 months at a daily level. Data is collected every 24 hours from the source but only the latest data for each day is considered and synchronized into the Bright Gauge dataset.)

Type: Pie

Measure: id –Friendly Name.

Dimensions: Site Name  

Filters: Policy Compliance Percentage (less Than (n of days), Report Date (yesterday)

Design: Color thresholds Policy Compliance Percentage, Label

Drilldown: Site Name: Friendly Name, Policy Compliance Percentage, Last assessed,


 

Missing Patches By Classification


Dataset: OS Patch Assessment – Windows

Type: Pie

Measure: id – Client Name.

Dimensions: Classification  

Filters: Patch Status – Missing,

Design: Color thresholds Classification, Label

Drilldown: Client Name: Friendly Name, Endpoint Type, Patch Status, Severity, Latest Patch Title, Last assessed, Installed Date, NOC Recommendations, Latest Reboot Behaviour Name.


Installed Patches By Classification


Dataset: OS Patch Assessment – Windows

Type: Pie

Measure: id – Client Name.

Dimensions: Classification  

Filters: Patch Status – Installed

Design: Color thresholds Classification, Label

Drilldown: Client Name: Friendly Name, Endpoint Type, Patch Status, Severity, Latest Patch Title, Last assessed, Installed Date, NOC Recommendations, Latest Reboot Behaviour Name.


2 comments
74 views

Permalink

Comments

04-17-2024 11:11 AM

Hi Kevin,

In this Dashboard we have an option to add filters (site wise) to make this site specific and as far as status is concerned, we have three statuses:

1. Patch missing

2. Patch installed 

3. Pending reboot (if in case any patches require a reboot)

 

Also, if endpoint is not available during the scheduled patching window, the endpoint gets categorized to failed patch list.

Furthermore, please wait for my failed patch by classification pie chart which will be posted in my next blog.

04-17-2024 10:45 AM

A simple pie chart for each location that shows the number of fully patched devices, devices that needs patches and devices with an unknown status would be useful.