In our previous blog post, we discussed how AIOps tools can help analyze unstructured data to identify higher-level correlations that traditional IT monitoring tools wouldn’t be capable of. IT Ops teams are constantly bombarded with complex machine data, and to better monitor and troubleshoot IT environments, you must analyze and gain an accurate understanding of this data to evaluate how your systems are performing and proactively resolve any issues that may occur.

Zenoss is very pleased to announce the general availability of Resource Manager 6.4, Service Impact 5.5.1 and Control Center 1.6.5 along with upgrades to related ZenPacks. These updates are included in the latest release of Zenoss Cloud and Zenoss as a Service, as well as in Zenoss Service Dynamics 6.4.

“We were born to work together like feet, hands, and eyes, like the two rows of teeth, upper and lower … like Cisco HCS, Nortel, or Skype for Business and our distributed development teams.” Marcus Aurelius, Roman Emperor, Unified Comms Futurist* * (not really) OK, so, the famed Roman emperor may not have mentioned technology in his A.D.

Defined by Gartner, artificial intelligence for IT operations (AIOps) platforms utilize big data, modern machine learning (ML) and other advanced analytics technologies to directly and indirectly enhance IT operations (monitoring, automation and service desk) functions with proactive, personal and dynamic insight. AIOps addresses key areas, including data collection and storage, analytical engines (real time and deep), visualization/UI, and integration with other applications.

In health care, doctors know the average man or average woman is in fact, mythical. Everyone has their own unique problems, capabilities and life stories. DNA can be altered by the environment. Even identical twins will have different health histories and different propensities to contract and avoid certain illnesses. Each individual is different. The same can be said of IT — no two shops are ever exactly alike.

Recently, we sponsored some of our technology partners’ major conferences, ServiceNow Knowledge, Nutanix .NEXT and Google Cloud Next. During these events, we had the opportunity to share how Zenoss is working with partners and about one of our core values, People Who Do.

When things are going well, monitoring isn’t top of mind. But when services suffer a performance degradation or failure, then, suddenly, monitoring matters. Senior IT officers want to know what caused the problem, and stakeholders want to know when the problem will be resolved. Yet there isn’t a single source of truth. Instead, there are siloed monitoring solutions haphazardly stitched together that rarely provide timely answers.

When Futurum Research asked IT executives to evaluate data center initiatives and storage strategies in terms of their promise for the future, over half cited converged and hyperconverged infrastructure as bearing the most potential. We’ve observed this trend in our own interactions with customers undergoing digital transformation as well, driving us to devote significant resources toward ensuring our users are fully covered as they roll out hyperconverged technologies in their data centers.

Aligning business objectives and running complex hybrid IT environments have always required a balancing act for IT leaders. Over the past few years, digital transformation has become more of an essential IT strategy than a buzzword. A spotlight on digitization and seamless customer experience is driving CIOs to innovate and build integrated solutions. Business-driven digital transformation enables CIOs to rethink their approaches toward managing modern IT infrastructure.

I attended the inaugural AIOps Exchange event last week in San Francisco. It was a great start for an organization dedicated to shaping the future of the use of artificial intelligence in IT operations. Here is how they describe themselves in an excerpt from the AIOps Exchange website...