SQL + Splunk = SplunkMSE

Introducing SplunkMSE (Splunk MySQL Storage Engine).

SQL is the lingua franca of structured data.  Likewise, Splunk is the way to work with highly unstructured data generated in the data center.  Data residing in relational databases can be analyzed via a plethora of off the shelf tools like Excel, Tableau, Cognos, Crystal Reports and on and on.   SQL is well known by developers everywhere. What better idea than using these tools to work with data that lives within Splunk?

SplunkMSE is fully open source. Visit SplunkMSE’s home site  for downloads, installation instructions, detailed documentation, source code and more. While there, I encourage you to ask questions, file bugs and if the overwhelming urge to fix them should arise, feel free to do so.

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Dev:

Python and Salesforce

Well, a few months ago, a couple of the support folks asked me about the feasibility of creating cases in Salesforce through the command line in Python, and after doing a bit of research, I realized (surprisingly) that there really wasn’t a good way to use the Salesforce API in Python *if* you want to parse a WSDL (There is an excellent package called Beatbox if you don’t want or need to parse the XML). There is a very good Python SOAP client out these days called Suds, which unlike ZSI and SOAPpy is able to handle SOAP namespace prefixes (a key for handling Salesforce’s WSDLs), but it doesn’t handle the nitty-gritty details of the SOAP interaction for you (for instance,…

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