Our second research document looks into requirements for IT as a Service and covers three of our sponsors: SIOS, Turbonomic, and Zenoss. IT as a Service (ITaaS) covers a wide range of products that monitor, automate, and manage cloud, virtual, and physical environments. The products include those for performance, capacity, and event management. We also bundle into this topic those tools that provide ways of integrating all products to preserve institutional knowledge. In previous articles, we looked at event management, security, and analytics. Now, we show the entire ITaaS coverage picture.
Articles Tagged with Zenoss
Part of any IT management platform is the handling of events, whether that is aggregating external events, creating its own events, or passing those events on to others. There seems to be a common set of criteria for those events. So, let us look into these common criteria for handling events and compare some of the vendors in the space.
The IT industry is abstracting everything it can, from hardware, to networking, to storage and more. “Abstract and build an API, and the world becomes better” seems to be the motto. Abstraction has become the goal of many subsystems. Many people seem to believe that if you move everything to software, everything will be better—and that if you use the API, things will move faster. This is all true, up to a point. Abstraction is a good thing, and we are now seeing levels of abstraction even within the hardware itself. This is also a good thing.
Any part of any infrastructure, application, or cloud is data. Data is used by applications, and myriad data is presented to IT organizations for their use, edification, insights, and more. But what really is this data? Can we classify the types of data in some way? Data classifications should not be just “structured” and “unstructured”; they must go deeper than that. To understand how IT operations analytics (ITOA) can act on data, we first need to classify data into something we can comprehend. ITOA leads to insights that can be used to predict capacity, track applications, and tell us when we have security events.
At Zenoss GalaxZ 16, there was a button titled “Talk Data to Me.” That got me thinking about the nature of data or, more importantly, what we keep, what we use, and the future of data altogether. Do we throw away data because we have no way to store it or analyze it, or because we consider data to be a renewable resource? Are enterprises embracing data? Or is this just a next-generation application concept?
IT as a Service (ITaaS) is changing nearly every day. In the past, it was mainly about automating deployment through the contents of a service catalog. Today, it has grown to include IT operations analytics (ITOA). What matters isn’t whether we can select an application from a service catalog, but rather how we monitor and react to issues during the lifetime of the application. With containers, which are all about automation, ITaaS has to change not only to include ITOA, but also to react to the results of the analytics.