When you log on to Germain APM, there will be many Dashboards available. All dashboards on Germain APM follow the same structure and logic. Two types of Dashboards are preconfigured: "Business" and "Technology". These Dashboards are preconfigured to be used for Business-related performance analysis or Technology-related performance analysis.

Business-related and Technology-related real-time dashboards come preconfigured, but can also be created on the fly by your organization. all these dashboards follow the same principles and logic:

Aggregated dashboard >drilldown-to> Pivot dashboard >drilldown-to>  Drill-through dashboard >drilldown-to>  RCA dashboard

Also

Aggregated dashboard >drilldown-to> Drill-through dashboard >drilldown-to>  RCA dashboard

Aggregated Dashboard


  • This is the "Parent" or "top-level" dashboard you can see or you can create on Germain APM web interface. You can create as many Aggregated dashboards as you want. One Aggregated dashboard is set as the "default" dashboard for each User Role/Profile.

  • Dashboard visibility is controlled and configurable at the user role/team level.

  • Data at this level is aggregated, at a predefined frequency (which you can modify).   

  • One or many "portlet" can be created/added on to this Aggregated dashboard. There is no limit to the number of portlet you can, yet the more portlets you add the slower the dashboard may be. 

  • Data Visualization varies and depends on the type of portlet you select.

  • Drill-down on a portlet (on any Aggregated Dashboard), will get you more details about the metric you click on but that metric might either display 

    • within the portlet, 

    • on the Pivot Dashboard

    • on the Drill-through dashboard

  • Report can be generated for anything that is visible on the dashboard or for specific portlet.

  • Data Filter is available, can be stored for later use at the top portion of germain web interface

  • Data Aggregation frequency is preconfigured, can be modified, and is the same for Aggregated and Pivot Dashboards

  • Data Retention frequency is preconfigured, can be modified and is the same for Aggregated and Pivot Dashboards

    Example of what an Aggregated Dashboard would look like:

Pivot Dashboard


  • This is the "2nd level" dashboard you can see/create. You can create as many Pivot dashboards as you want. Only one Pivot dashboard  can be created for an Aggregated dashboard.

  • Dashboard visibility is inherited from the one defined at the Aggregated dashboard.

  • Data at this level is aggregated, yet it is a break-down analysis of the data that is displayed on the portlet you click on/from (on the Aggregated Dashboard). Data is aggregated at the same predefined frequency as for the Aggregated Dashboard (which you can modify). 

  • Data Visualization varies and depends on the type of portlet you select.

  • One or many "portlet" can be created/added on to this Pivot dashboard. There is no limit to the number of portlet you can, yet the more portlets you add the slower the dashboard may be. 

  • Drill-down on a portlet (on any Pivot Dashboard), will get you more details about the metric you click on but that metric might either display 

    • within the portlet, 

    • on the Drill-through dashboard

  • Report can be generated for anything that is visible on the dashboard or for specific portlet.

  • Data Filter is available, can be stored for later use at the top portion of germain web interface

  • Search feature is available for any portlet

  • Data Aggregation frequency is preconfigured, can be modified, and is the same for Aggregated and Pivot Dashboards

  • Data Retention frequency is preconfigured, can be modified and is the same for Aggregated and Pivot Dashboards

    Example of what a Pivot Dashboard would look like:

Drill-through Dashboard


  • This is the "3rd level" dashboard you can see/create. You can create as many Drill-through dashboards as you want. Only one Drill-through dashboard can be created for a portlet on an Aggregated or Pivot Dashboard.

  • Dashboard visibility is inherited from the one defined at the Aggregated dashboard.

  • Data at this level is raw (not aggregated), yet it is a break-down analysis of the aggregated data that is displayed on the portlet you are required to click on/from to view this Drill-through dashboard.   

  • Drill-down on a raw (on any Drill-through dashboard), will get you to the RCA dashboard 

  • Field(s) can be added, and there is no limit.

  • Report can be generated for anything that is visible on the Drill-through dashboard

  • Data Filter is available, can be stored for later use at the top portion of germain web interface

  • Search feature is available

  • Data Retention frequency is preconfigured, can be modified and is the same for RCA Dashboard

    Example of what a Drill-through Dashboard would look like:

RCA Dashboard


  • This is the "4th level" dashboard you can see/create. You can create as many RCA dashboards as you want. Only one RCA dashboard can be created per Drill-through Dashboard.

  • Dashboard visibility is inherited from the one defined at the Aggregated dashboard.

  • Data at this level is raw (not aggregated), yet it is a break-down analysis of the data that is displayed on the Drill-through dashboard, that you are required to click on/from to view this RCA dashboard.   

  • Data Visualization varies and depends on the type of portlet you select.

  • One or many "portlet" can be created/added on to this RCA dashboard. There is no limit to the number of portlet you can, yet the more portlets you add the slower the dashboard may be. Drill-down on a portlet (on any RCA Dashboard), will get you more details about the metric you click on but that metric might either display 

    • within the portlet, 

    • on a child RCA dashboard

  • Field(s) can be added, and there is no limit.

  • Report can be generated for anything that is visible on the RCA dashboard

  • Search feature is available on any portlet

  • Data Retention frequency is preconfigured, can be modified and is the same for Drill-through Dashboard

    Example of what a RCA Dashboard would look like:

Enable or Disable a Column

  • Open the RCA Dashboard you with to modify

  • Click the edit button on the portlet you wish to change

  • Click “Columns (#)”

  • Here you can enable or disable and column via the third icon ( 🚫 (tick) )

Adding a new Column

After you are on the column list using the instructions in “Enable or Disable a Column” you could create a new column.

  • Clone an existing column

  • Click on the clone

  • Modify the details for the column

  • Save, then enable the column

  • Review the change on the RCA Dashboard

Dashboard Layout & Propreties


There are Many completely configurable APM data layouts.

  1. Individually configurable Dashboards' navigation tree is on the left hand side.

  2. Monitored data is on the right side, show in different Portlets.

Resizing Elements


Dashboard's screen size can be maximized by clicking these buttons:

 

Number of Columns


Easily change between 1, 2, 3 or 4 column layouts.


 
Dashboard Tree


  • Navigate through the Dashboard Tree to view the Dashboard containing the information you need.

  • Users will see a Dashboard Tree with only the dashboards they have access to.

  • Fully configurable

  • Default tree is an extensive example; It is recommended that the tree be reduced according to your normal use.

Click the Plus button at the top to create a new Dashboard or Folder

Click the Funnel to filter to just this Folder/Dashboard/Portlet/KPI

Click the Bookmark to add the Folder/Dashboard to left menu for this user

Click the Pencil to edit the Folder/Dashboard Name

Click the Plus button on the mouseover to add a Folder/Dashboard to this Folder

Click the Trashcan to Remove the Folder/Dashboard

Bookmarked Folders/Dashboard will lest in the area on the left under the Dashboards menu (blue rectangle)

Editing a Dashboard Properties

Inside the Dashboard there are series of buttons at the top left for:

  1. Editing the Dashboards Name

  2. Cloning the Dashboard

  3. Changing the number of Columns to sort the Portlets into

  4. Setting what Users have access to this Dashboard

  5. Sharing the Dashboard

  6. Printing the Dashboard

  7. Bookmarking the Dashboard (To the left menu “Dashboards” section)

  8. Changing the Trend Granularity for the whole Dashboard (days, hours, minutes, etc…)

    1. Overridden by the Portlets direct Trend Granularity setting

  9. Opening a Ticket based off this Dashboard

  10. Creating a new Portlet

Portlets


Portlet: Create


Once the Dashboard is created, Portlets can be added to it to display monitored data.

All Data and SLAs will be shown in the Portlets on a Dashboard.
Portlets are fully HTML5, can be closed, minimized, and re-positioned (using drag & drop).


Colors can be configured per SLA. Recommended color usage:

  • Green: OK

  • Orange: Poor performance

  • Red: Critical error

  • Blue: No SLA defined

Portlets: Data Filtering


You can filter the data displayed on any Portlet by

  • Time range

  • Any data collected by Germain APM

    • Server name, user, component name, database, etc…

  • Compounding filter conditions or removing them

    • Add: Click the search field and search again

    • Remove: Click the X on the right side of a file

Portlets: Duplicate

  1. On the portlet you are interested in copying, click on the clone button

  1. Select the destination dashboard from the dropdown

  2. Click Clone

  1. OPTIONAL – Remove portlet from source dashboard

You can delete the portlet from the original dashboard by clicking on the remove button

 Portlets: Time Filter


Filter displayed data globally on all Portlets with the Time filter

  • Quick links for common periods: today, last hour…

  • Filter by date and by hour, minute

Portlets: Saving Filters


You can save Filter Groups for yourself, or to be available for others:

Portlets: Filter Persistence


Applied Filters remain on drill-down, dashboard change, etc.

  • Remove Filters by selecting "Clear" Button


Portlets: Display


  • Click on any data in a Portlet to Drill Down to the data metrics

  • Portlets can be:

    • Customized

    • Dragged around the screen

    • Hidden/Shown (From Config Console)

    • Added/Removed

  • Types:

    • General Health

    • Map

    • Tabular

    • Flow

    • Gauge

    • Counter

Portlets: Adding Portlets


Add Portlets from any Dashboard

1 - Click the “Add Metric” Button

2 - Click the “[+]Add Metic” link

3 - Select your portlet Type (using the tabs)

4 - Fill in the config Fields

Portlet types: General Health


Show trend or fact data based on any KPI

  • Displays Aggregated data in selectable graph formats

Portlet types: Map Portlet


  • Displays data per Location

  • Select the default Map Level of a Map Portlet: Country, Region, City

Google web service access need to be provided (Network Port 443 to be opened from Germain APM Dashboard to these below web services):

Portlet types: Flow Portlet


The Flow Portlet visualizes Business Process flows as a Sankey diagram. This visualization allows aggregated flow patterns to be more easily understood. See Business Process Insight for the capabilities of BP definitions.

For example, a simple configuration which captures any flow through a single-page web application could have as few as two steps (start, navigation).

Features

  • Flow layout uses relaxation iterations to minimize paths crossing over each other

  • See detailed breakdown for distribution of color-threshold status by hovering over a node

  • The distribution is also represented by a sequence of color gradients across a node's surface

  • Links show flow quantity on hover

  • Dropoff is represented as a vertical red stripe filling the gap of missing flow out of a node

    • Dropoff is not rendered when filtering flows by end page (since they are not flows that made it to an end page)

  • Drilldown to relevant data entries by clicking a node

Features when portlet is maximized

  • Filter by end-page or start-page using drop-down menu and button

  • List sorted by most frequented steps

    • Clicking a step on the left will highlight the most frequent path to each of its occurrences (in gold)

  • Zoom Slider for Birds-Eye view

Portlets: Display Settings


Change data display mode:

  • Measure: display measures for the SLA per time blocks

  • Color Distribution: bars show percentage of measurements over/below SLA per time blocks

  • Measure Color Breakdown: both Measure and Color Distribution features

  • Aggregation: pie chart showing overall percentage of measurements over/below SLA for the applied Time filter period

Portlets: Show As - Color Distribution


Each bar's color length means a percentage. 

Portlets: show as Aggregation


Pie chart for Siebel User Click Duration

Portlets: show as Measure


  • Measurements for the monitored metric

  • The overlaid BLACK line shows the SLA setting value

Portlets: comparison overlay


  • Overlay metric information from any previous moment to compare periods.

  • Grey dotted line shows data values on mouse-over.

  • Available on any Portlet.

Portlet: Tabular


For displaying aggregated values at a glace

Portlet: Buttons


Buttons on the right top part of the Portlet allow to (where available):

  • Export Data

  • Drill Through directly to the underlying data

  • Compare against other period's data

  • Set Graph Granularity

  • Open its Settings

  • Refresh its content

    • (When there is no data yet)

  • Maximize/Restore

  • Remove the Portlet from the Dashboard

    • (cannot be undone! The Portlet will need to be recreated)

Portlet: Mouseover


Move mouse over data in a Portlet to display metrics:

  • Data values

  • SLA value

    • When Color Threshold is displayed as a Measure

  • Compare against former data value

Portlet: Drill Down Hierarchy


  • Clicking on any Portlet's data summary to drill down to an additional dashboard that shows filtered data on Portlets grouped by concepts.

  • The Hierarchy can be changed in the same way any dashboard can:

    • Plus symbol at top to add portlets

    • X on portlet to remove it

    • Click and Drag to rearrange

  • Click on any Portlet's data to drilling through with filter for clicked data.

Portlet: Drill Through

  • You can drill through by clicking the Drill Through button, or by clicking data elements in some portlets, like those on a drill down / pivot dashboard.

  • Data can be ordered ASC/DESC by any column name with an arrow on it.

  • All (info) icons show more information when you "mouse-over"

  • Click on any row to go to the Root Cause Analysis Dashboard for that row's data.

  • Colors will again display over or under SLA monitored data:

    • Orange/Red: over SLA

    • Green: under SLA