I worked with this German company to enhance their Discovery and CMDB with various storage metadata and data from unsupported storage systems. I wrote extensive TPL code which integrated with APIs for NetApp, Dell Isilon, IBM Spetrum, and Nasuni.

For Nasuni I had to develop the whole model using data extracted from the APIs to model the Management Console, Volumes and Shares.

The outcome of this project was to allow the client to accurately track storage usage and billing.

During this time I also assisted the client in troubleshooting Azure discovery and retrieving additional matadata from VMware.

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I was contracted to help win a bid for providing a managed service worth $200k to a large US-based vehicle manufacturer. They were intially discussing a multi-year deal for plant inventory discovery, however it was quickly realised by the client that it would make sense to turn this into a managed service.

The service included upgrade of current Discovery solution with right-sizing the architecture, installation of Remedy with CMDB and support services. The scope of Discovery was to scan the plant networks – the challenge being that these were on profinet and were not only sensitive equipment but scanning was only permitted under very strict windows.

We managed to complete the implementation of the solution upgrade and installation, with the implementation of the full managed service coming later due to delays on the client end. As part of value add of the service, the customer was also provided with a custom solution I developed in python that worked with the Discovery API to be able to load IP ranges with updated location information and automatically update the scan data and schedules.

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