Operations | Monitoring | ITSM | DevOps | Cloud

Do you ever find yourself blindsided by the impacts of proposed IT infrastructure changes? There are ways to avoid unexpected consequences of IT change management. In their latest research, Gartner describes how I&O leaders can improve observability, customer experience and business health by starting with AIOps, adding CMDB and, finally, using both working in concert. We summarized the key takeaways of the research for you in this blog.

Today, most IT teams find themselves facing a number of challenges presented by the new and increasingly complex infrastructure that accompanies digitization, including an exponential increase in data volumes and types. In fact, Gartner estimates that the data volumes generated by IT infrastructure and applications are increasing two- to three-fold every year (and that’s compounding growth). There’s clearly too much data for the humans on the IT team to sort through on their own.

Digital transformation is not just a buzzword. It’s real, it’s happening and there is no escaping it. IT teams strive to propel their businesses towards growth and innovation. That’s why 2019 is all about transformative projects in tech: CIOs are planning to increase their investments in cloud technology (67 per cent), AI and machine learning (54 per cent), and emerging tech vendors (41 per cent).

The OpsRamp Fall 2019 Release delivers comprehensive features for hybrid infrastructure management with machine learning-powered intelligent correlation and multi-cloud monitoring support. The new release also offers enhanced synthetic monitoring capabilities and a new custom integration framework for sharing data with third-party IT management tools.

IT operations is at a crossroads. The increasing complexity of IT infrastructure and software is challenging IT teams and the business. So this year we decided to focus our survey on what IT Ops execs, managers and practitioners think about the current state of their operations, the future of their systems and the role automation and AIOps might play in their transformation.