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US Retailer – DevOps

Applied AI & Data

Originally published 2024-02-26. Original article. Historical wording retained.

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I was asked to provide a health check with insights into the clients Discovery operations. I created a custom application called Pithos – a python-based application which collected data from CMDB and Discovery. This data was then imported into Power BI and we were able to present the following back to the client:

  • High disk utilisation

  • Presence of core dumps

  • Segregated architecture, but no network segregation

  • Sensitive data such as plaintext usernames and passwords stored in unstructured data fields

  • Scan schedules impacting performance

This was followed up with a roadmap of improvements for the client with the option of being delivered by my company.