Alex Thottunkel
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Imaging V3 - db
CAST Imaging requires a CAST Storage Service PosgreSQL RDBMS to store both the data generated during analyses and persistence data (settings/properties etc.). This section provides some hints a...
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Imaging V3 - windows
Overview neo4j is the native graph database management system (GDBMS) that stores and manages data generated by CAST Imaging and which is installed as part of the CAST Imaging installation pro...
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Imaging V3 - docker
Overview neo4j is the native graph database management system (GDBMS) that stores and manages data generated by CAST Imaging and which is installed as part of the CAST Imaging installation pro...
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Imaging V3 - neo4j
{{< cardpanehome >}} {{% cardhomereference %}} Microsoft Windows {{% /cardhomereference %}} {{% cardhomereference %}} / Linux via Docker {{% /cardhomereference %}} {{< /cardpanehome >}} Note: ...
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Imaging V3 - backup
Note: Please refer to the original article at https://doc.castsoftware.com/administer/backup/.
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Imaging V3 - jenkins
Overview The CAST Imaging Jenkins Plugin enables automated and repeatable application analysis through the CAST Imaging API via the Jenkins continuous integration system. The plugin supports t...
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Imaging V3 - cli
Overview The CAST Imaging CLI (Command Line Interface) automation tool enables automated application analysis through the CAST Imaging API, eliminating the need for manual interaction with the...
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Imaging V3 - imaging-services
Overview The imaging-services API provides access to the analysis configuration and management features provided in CAST Imaging. Base URL All provided endpoints imply they are accessed usin...
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Imaging V3 - automation
Information about the tools and methods available for automating application analysis and result publication via CAST Imaging's API. Click the method you are interested in: {{< cardpanehome >}...
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Imaging V3 - api
CAST Imaging provides API access to both results and analysis configuration/management. Choose the API you would like to know more about: Note: Please refer to the original article at https://...