Online Demo

IT INFRASTRUCTURE

Graph visualisation of a configuration management DB

IT infrastructure demo is based on an anonymized dataset of a Configuration Management Database (CMDB) which is in heart of every IT infrastructure management framework (e.g. ITIL or other). CMDB typically holds information about every entity of an IT network and most importantly information about relationships between these entities. The power of Graphlytic is in general network visualization capabilities where all relationships together can provide a comprehensive picture of the infrastructure.

Graphlytic is a link visualization and analytics tool and it can be used with any type of infrastructure, whether you want to create an AWS infrastructure visualization, custom cloud infrastructure visualization, or a network visualization in general.

The example in the picture below shows one of the virtualization clusters in the CMDB database. The cluster's HW is spread across two Racks and multiple Physical Servers. Virtual Managers (e.g. VMware) installed on these servers are then splitting the HW resources into multiple Virtual Servers which then hosts applications or databases (not pictured).

Demo IT Infrastructure

Other graph visualisation in the demo

Visualization in Graphlytic demo

Cluster visualization

A larger cluster of nodes showing how multiple services can share the same hardware resources.

Visualization in Graphlytic demo

Compact view

View of a specific cluster showing entity relationships in detail.

Visualization in Graphlytic demo

Top 3 HW Platforms

Shows the three largest HW platforms in the database. From racks to virtual servers and network devices in one picture.

What can you try in the demo?

  • Search for patterns and save your search queries or shate them with users in the project
  • Create a graph visualization with some nodes and explore their relationships - double click on a node to read all relations of that node from DB and add them to the graph visualization
  • Save created graph visualization to your visualizations in the project
  • Statistics: play with property histograms in graph visualization - select element categories
  • Virtual properties: create virtual properties (custom formulas) on nodes and relationships with JavaScript
  • Find the shortest path: select 2 nodes (Shift+Click) and press the "Find shortest path" button in the top toolbox to calculate the shortest path (calculation is done in DB and new elements are added to the graph visualization if needed)
  • Graph visualization styling: create styling mappers in the "Settings" tab to style the graph visualization according to data to highlight patterns
  • Layout: use one of the layouts in the toolbox to automatically rearrange the graph visualization (layout is applied only to the selected part of the graph visualization or to all elements if nothing is selected)
  • Image and data export: use one of the export options in the "Export" dropdown menu or export CSV data or image of the graph visualization

PANAMA PAPERS

Visualisation of the leaked Panama Papers documents

"The Panama Papers are 11.5 million leaked documents that detail financial and attorney-client information for more than 214,488 offshore entities. The documents, some dating back to the 1970s, were created by and taken from, Panamanian law firm and corporate service provider Mossack Fonseca, and were leaked in April 2016." WikipediaThe graph visualization of the Panama Papers in Graphlytic brings to life metadata and relationships between entities extracted from the leaked documents. The database was downloaded from the ICIJ download page.

The graph model has multiple entity types, and the fulltext search is set to look into names, countries, and addresses. It's very easy to start with a name that will probably match an Officer or Entity (company). You can then easily explore relationships in the graph to see which Intermediaries were between the Officers and Companies.

Demo Panama Papers

Other graph visualisation in the demo

Visualization in Graphlytic demo

Ahmed al-Mirghani

Sudanese president Ahmed al-Mirghani, who was president from 1986-1989 and his business associates.

Visualization in Graphlytic demo

Hamad bin Khalifa Al Thani

Former Emir of Qatar Hamad bin Khalifa Al Thani owned Afrodille S.A. and shares in Rienne S.A. and Yalis S.A.

Visualization in Graphlytic demo

Kojo Annan

Kojo Annan, the son of former United Nations Secretary-General Kofi Annan and his business relationships.

What can you try in the demo?

  • Search for patterns and save your search queries or shate them with users in the project
  • Create a graph visualization with some nodes and explore their relationships - double click on a node to read all relations of that node from DB and add them to the graph visualization
  • Save created graph visualization to your visualizations in the project
  • Statistics: play with property histograms in graph visualization - select element categories
  • Virtual properties: create virtual properties (custom formulas) on nodes and relationships with JavaScript
  • Find the shortest path: select 2 nodes (Shift+Click) and press the "Find shortest path" button in the top toolbox to calculate the shortest path (calculation is done in DB and new elements are added to the graph visualization if needed)
  • Graph visualization styling: create styling mappers in the "Settings" tab to style the graph visualization according to data to highlight patterns
  • Layout: use one of the layouts in the toolbox to automatically rearrange the graph visualization (layout is applied only to the selected part of the graph visualization or to all elements if nothing is selected)
  • Image and data export: use one of the export options in the "Export" dropdown menu or export CSV data or image of the graph visualization

GRIMOIRE ENCYCLOPEDIA

Demo is based on the THE GRIMOIRE ENCYCLOPEDIA created by MOUSE REEVE.

Grimoire Encyclopedia is a collection of linked information about grimoires, focusing (with some distraction) on early modern Western European texts from the Christian tradition. The goal is to look at the connections and relationships within the metadata and subject matter of these grimoires and attempt to collect factual information about their provenance and historical context.

Example on the picture below is one of the visualizations from the demo and it shows some quick tips on how to summon Lucifer or Satan. You can choose your preferred spell based on the ingredients you have or based on other outcomes of the spell. Just be careful with the summoning, please :)

Demo Grimoire

Other graph visualisation in the demo

Visualization in Graphlytic demo

Aerial Spirits

Who serves whom in the world of Aerial Spirits?

Visualization in Graphlytic demo

Demons

Which demon has the biggest network of servants?

Visualization in Graphlytic demo

Grimoire Relationships

Which Grimoire draws upon, mentions, or is influenced by which

Visualization in Graphlytic demo

Lucifer & Beelzebub

What has Lucifer and Beelzebub in common?

Visualization in Graphlytic demo

Lucifer & Satan summoning

A few spells for the summoning of Lucifer or Satan

Visualization in Graphlytic demo

Robert Truner

Grimoires of Robert Truner and their relationships, creatures and other elements

What can you try in the demo?

  • Search for patterns and save your search queries or shate them with users in the project
  • Create a graph visualization with some nodes and explore their relationships - double click on a node to read all relations of that node from DB and add them to the graph visualization
  • Save created graph visualization to your visualizations in the project
  • Statistics: play with property histograms in graph visualization - select element categories
  • Virtual properties: create virtual properties (custom formulas) on nodes and relationships with JavaScript
  • Find the shortest path: select 2 nodes (Shift+Click) and press the "Find shortest path" button in the top toolbox to calculate the shortest path (calculation is done in DB and new elements are added to the graph visualization if needed)
  • Graph visualization styling: create styling mappers in the "Settings" tab to style the graph visualization according to data to highlight patterns
  • Layout: use one of the layouts in the toolbox to automatically rearrange the graph visualization (layout is applied only to the selected part of the graph visualization or to all elements if nothing is selected)
  • Image and data export: use one of the export options in the "Export" dropdown menu or export CSV data or image of the graph visualization

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Online demo

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