A leading US Investment Bank wanted to extend their off-the-shelf scanning solution to discover edge devices and follow hops to find the very edge of the network. This was not possible OOTB.

I developed a small solution comprising of shell scripting and TPL to discover and map the edge devices which allowed identification of unmonitored networks within the Bank’s infrastructure. The output was sent to CSV files which was the format requested for injestion into their network monitoring tool.

I also wrote a TPL file to discover Windows disk drives, which was another requirement from the client. I finished up by writing full documentation on the approach and code before handing over to the client.

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I was brought in to architect and deliver an data pipeline for updating their CMDBs from multiple data sources. The CMDB itself was hosted on Salesforce and the data sources were Discovery, Active Directory, Spreadsheets and SCCM.

A particular challenge was being restricted to operating remotely using TeamViewer – which does not perform well over data instensive remote connections – and requires an active user on the end to keep the connection going. This did cause development work to go much slower than planned, but thankfully did not cause overall delay to project.

The integrations were developed, tested and deployed successfully to the satisfaction of the client.

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I developed this with a mixture of Bash and Python, exporting the results to JSON and then converting to CSV. All code was handed to the client.

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