Operations | Monitoring | ITSM | DevOps | Cloud

As per Gartner, Hyper Automation is the top strategic technology trend for Enterprises. “The shift towards hyper automation will be a key factor enabling enterprises to achieve operational excellence, and subsequently cost savings, in a digital-first world,” said Cathy Tornbohm, Distinguished Research Vice President at Gartner. Businesses want to enable employees to make better decisions in the most cost effective way.

Organizations are always looking for new ways to innovate and reduce costs and allocate resources more efficiently. In this blog post, we will look at how enterprises handled incidents before and after deploying AIOps.

On this day in 1984, Canadian-American Alex Trebek made his first appearance as host for the daily syndicated version of Jeopardy!

The most effective way to understand an incident, resolve it and prevent it from occurring again is root-cause analysis. Simply put, root-cause analysis is the study performed by ITOps teams or site reliability engineers (SREs) to pinpoint the exact element/error that caused the unexpected behavior. Based on this, they plan remediation. Accurate and timely root-cause analysis can have a direct impact on the company’s top and bottom line.

GigaOm’s latest Radar for AIOps solutions has just been released and it makes for compelling reading for anyone trying to maximize organizational performance in our digital world. Particularly if you’re down with DevOps.

Mission creep is a phenomenon that occurs after a project begins and gains momentum, but then gradually grows beyond the original, intended scope. One day you wake up and realize that, instead of an efficient, manageable project, you’ve got a monster on your hands. For enterprises in the midst of dynamic growth, IT infrastructure is often beset by mission creep. The incumbent organization acquires smaller operations, integrates their technology, and soon things are out of control.

Alerts are notifications from AIOps monitoring tools that indicate that there is an anomaly. IT teams get these alerts on their monitoring dashboard via emails or enterprise collaboration tools such as Slack or Teams. Service level agreements expect IT teams to analyze every alert within a specific timeframe and take appropriate action.