IT service outages, while inconvenient, also carry widespread ramifications that affect productivity, revenue streams, business reputation, and customer satisfaction. These outages can also drive burnout and increased human error for the IT operations (ITOps) teams tasked with managing the stress that comes with urgent issues and escalations.

Of all the KPIs that gauge the health and operational fitness of an enterprise, Mean Time to Repair (MTTR) from an outage or downtime is one of the most crucial. Yet while MTTR is a universally recognized metric, many organizations still fail to consider the total cost of MTTR when deciding where and how to invest in their IT environments.

Tool sprawl, further compounded by the inflexibility of legacy tools, poses a major challenge for government IT teams. As agencies work to deliver the digital services their constituents demand, their digital ecosystems have grown to comprise numerous apps, systems and microservices, all specific to the individual IT components of the experience. With disparate tools and systems leading to siloed insights, higher costs, and increased complexity, it’s easy for technical debt to get out of hand.

Modern IT infrastructures are more than just a support system; they are the beating heart of business innovation and success. However, these environments are incredibly complex, which comes with information silos and a lack of visibility, posing a significant barrier to Autonomic IT. One of the main factors contributing to IT operations’ reaching this point of complexity is the growing use of cloud services.

By opting for a SaaS deployment, enterprises can simplify adoption and free up IT teams to focus on higher-value tasks. As enterprises increasingly turn to AIOps for streamlined workflows, minimized downtime and support for automation, they must decide whether a Software-as-a-Service (SaaS) or on-prem deployment is the best fit for their organization.

In today’s hybrid IT environments, alert storms feel like a commonplace ocurrence. While serving their purpose of notifying ITOps teams of potentially urgent business-impacting issues, they can also create stress and fatigue as teams engage in what can feel like an endless fire drill, constantly switching between siloed monitoring tools to identify and resolve the root cause of software incidents.

Digital transformation is happening at a rapid pace. Customers demand always-on, always-mobile, instantly available experiences, while businesses look to modernize for increased productivity, responsiveness, and profitability. Amid this constant change and increasing pressure to achieve more with limited resources, IT teams struggle to keep pace, weighed down by legacy tools and operational processes that no longer scale.

Go Beyond with Autonomic IT to Drive the Autonomous Business IT infrastructures have grown prohibitively complex. But the full realization of AIOps – Autonomic IT – will liberate the IT function and propel businesses forward towards elevated performance and greater potential.