![]() The following authentication mechanisms are supported: Response regex patterns to filter out responses.Perform HTTP(s) GET requests to REST endpoints and output the responses to Splunk.Then search your data ! Many RESTful responses are in JSON format, which is very convenient for Splunk’s auto field extraction. As you can see below, I have already created several that I used for testing.Ĭonfiguring your new REST input is simply a matter of filling in the fields Installation is as simple as untarring the release to SPLUNK_HOME/etc/apps and restarting Splunk.Ĭonfiguration is via navigating to Manager->Data Inputs->RESTĪnd then clicking on “New” to create a new REST Input. Or if you want get straight into Splunking some REST data, make your way over to Splunkbase and download the latest release. You can check out the REST Modular Input implementation on Github Using the REST Modular Input Using my Python Modular Inputs utility on Github, I can also rapidly build the Modular Input implementation. Building the REST Modular Inputįrom a development point of view it is actually quite a simple proposition for some pretty cool results.įor RESTful API’s we only need to be concerned about RESTful HTTP GET requests, this is the HTTP method that we will use for getting the data.Īnd by building the Modular Input in Python, I can take advantage of the Python Requests library, which simplifys most of the HTTP REST plumbing for me. Therefore building a generic Splunk Modular Input for polling data from any REST API is the perfect solution. As our esteemed Ninja once said, “Data First, Sexy Next”.Īnd I want to make it as easy, simple and intuitive as possible to allow you to hook Splunk into your REST endpoints, get that data, and starting writing searches. I am most interested in the “getting data in” part of the Splunk equation. The REST “dataverse” is vast, but I think you get the point. What type of data is available ? Well here is a very brief list that came to mind as I typed : I see a world of data out there available via REST that can be brought into Splunk, correlated and enriched against your existing data, or used for entirely new uses cases that you might conceive of once you see what is available and where your data might take you. And of course, Splunk has it’s own REST API also. It is simple, lightweight, platform independent,language interoperable and re-uses HTTP constructs. REST really has emerged over previous architectural approaches as the defacto standard for building and exposing web APIs to enable third partys to hook into your data and functionality. Called only when you create the view manually in JavaScript.More and more products,services and platforms these days are exposing their data and functionality via RESTful APIs. Removes a cell renderer from the table, where renderer is an instance of your custom cell renderer.ĭraws the view to the screen. Gets an array of the cell renderers that have been added to the table. Indicates whether to wrap text in the results table.Īdds a cell renderer to the table, where renderer is an instance of your custom cell renderer. Indicates whether to display the table pagination control. Indicates whether to display preview results. The position on the page where the page is displayed ( top | bottom ). The ID of the search manager to bind this view to. For more, see How to customize table cells and format sparklines. }where sparkline_fieldname and type are required. The properties for a sparkline, in the format: In JavaScript, specify a comma-separated string or an array of strings. When using Django tags, specify a comma-separated string. You can also use the preventDefault method in the click event handler to bypass the default redirect to search. When false, you must create a click event handler to define a drilldown action. When true, a refined search corresponding to the point that was clicked is displayed in the search app. Indicates whether to redirect to a search page when clicked. Indicates whether to display row numbers. ( results | preview | events | summary | timeline ). The type of data to retrieve from the search results Splunkjs/mvc/tableview Simple XML wrapper Splunk views Drilldown actions How to customize table cells and format sparklines using SplunkJS Stack How to listen for events on views using SplunkJS Stack How to set view properties using SplunkJS Stack Library path The Table view displays a table of search results. ![]() Splunk Web Framework Component Reference TableView
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