Smart DevOps Round-up With SiliconANGLE

The 5th Annual Splunk Worldwide Users’ Conference is just around the corner. But before we get a chance to see what has been happening in the world of Splunk, let’s take a look back at some of the developers development at last year’s conference.

One overarching theme of last year summit was that Splunk continued to enhance its flagship machine data search engine so it can be used by business analysts and managers. The company advanced its portfolio of products including a new version 6.0 of its enterprise edition cloud service and adding more business intelligence capabilities to its namesake engine.

Integrating Splunk to DevOps platform

Splunk had captured a large market on analyzing log analysis and the company demonstrated its transition beyond machine log data at last year conference. The Splunk Enterprise 6 product is one such product where Splunk is building out applications to run on tops of its platform.

Pivot powered Splunk Enterprise 6 makes it incredibly easy for developers to build dynamic dashboards and fluid visualizations in addition to build to build insightful visualizations. The data model and pivot enable Splunk experts to create views of data that business users can easily interact with and analyze.

The web framework in Splunk Enterprise 6 makes it much faster for developers to build custom Splunk modules and applications. The web framework lets developers use existing skills to quickly plan and develop Splunk apps in JavaScript and Django, all without having to learn any new concepts.

Last year, Splunk opened up its DevOps platforms to outside developers with product launches, acquisitions, and partnership announcements. The company teamed up with Cloudera to tackle the regulated sector of government agencies, as well as Tableau for extended data visualization tools.

The log management company also released software developer kits to GA and three new SDKs–for C#, PHP and Ruby–providing developers new tools to build analytics applications on top of Splunk’s machine data indexing platform. These tools help Business Intelligence sector with enterprise-grade, cloud-ready analytics to seize an opportunity to democratize data.

Building big data monetization

Splunk’s broader strategy is to be known for more than just machine log data. Now, marketing, healthcare, accounting, retail and HR departments are only one step removed from the data they need to achieve better efficiencies within their groups. This was part of Splunk’s strategy for transitioning its brand beyond machine log data at last year conference.

Splunk is not only building analytics from machine data. Machine data comes from a lot of different devices and there’s an app for all those different devices. Splunk SDKs is trying to encourage third-party developers to build and sell apps on the Splunk app market. With the new apps.splunk.com – the Splunk marketplace – the company actually puts in better mechanisms for people to monetize the content.

Splunk is certainly changing the traditional analytics scenario for customers. Splunk’s approach is different, allowing users to input unstructured or structured data as is and receive structured analytics. In turn, customers save money from not having to build the infrastructure necessary for analysis.