BigFix, the most reliable and capability-rich endpoint management solution, provides a great choice for organizations to manage and secure workloads across all major clouds and on-premise in a consistent and effective way.

A question which everyone would have in mind while Upgrading to WA 9.5 is to manage all the Carryforwards that are present in old Production Plan on the older Version of the Master and to migrate them to the newer Master Server . This Blog aims to sort this problem once and for all to ensure seamless transition to IWS 9.5 without any hassles .As you would already know if you are reading this Blog that WA 9.5 comes with a whole set of New Features and most noticeable Change Architecturally is to move to Liberty as a Middleware in place of Websphere Application Server, JazzSM for both the Engine as well the DWC Profile.

Let us begin with understanding of Azure what it is all about before moving to our Azure Resource Manager plugin and how it benefits our workload automation users. Azure is incredibly flexible, and allows you to use multiple languages, frameworks, and tools to create the customised applications that you need. As a platform, it also allows you to scale applications up with unlimited servers and storage.

New BigFix Insights Data Schema document now available for download. The data schema will be useful to Data Analysts, Business Intelligence users, and System Integrators.

The new BigFix Training webpage is now LIVE!  Check out the available training courses, read a description of each course, and review the calendar of upcoming training/enablement events.  Of course, you can register for courses, too. 

As human beings, we have always been fascinated by the unknown, and we need to understand it, interpret it, and draw results from it. Today, however, living in an increasingly hyper-technological, interconnected world, where we collect billions and billions of information and data, we have difficulty because our ability to acquire data exceeds our ability to give meaning to it. Besides data itself, visualization becomes crucial in driving the root cause analysis, explaining concepts, and extracting useful insights from data. Also, visualization can help provide data that is understandable by non-data experts.