The future of performance monitoring could involve AIOps. Learn more about what the term means, how it impacts the enterprise, and read about use cases.

A little more than four years ago, Anodot started applying advanced AI/ML and unsupervised learning technologies to simplify monitoring challenges for DevOps teams. Today our company has customers from a variety of verticals and departments harnessing our unique platform to monitor business health, user behavior, product usage, IT ops, machine learning processes and even IoT.

There’s no dearth of project management tools available in the online market. Such tools enable top management keep track of all their projects, create and track tasks and teams, and analyze their progress through reports and charts. But there’s one thing missing from most modern project management tools; and that is that they don’t take the developer angle into consideration.

Multi-cloud is a cloud computing strategy that uses two or more different cloud services. This can be a combination of Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), or Infrastructure-as-a-Service (IaaS) solutions running in a public or private cloud environment. Multi-cloud offers a number of benefits including greater reliability and availability, less vendor lock-in, and potentially lower costs.

Think back to your last team meeting. Did you get in everything you wanted to say? Did that one rambunctious teammate jump in before you could finish your killer point? We’ve all been there. It feels like crap, right? Yet, the truth is that how it makes us feel is only part of the story. There’s also the not-so-trivial matter of how being ignored or talked over in meetings limits the entire group’s performance.

Already have a monitoring service with your current host? Does your plan include Amazon CloudWatch, Azure Monitor or another proprietary monitoring tool? You might want to check the fine print. These services often provide internal web monitoring only. While they may check HTTP availability from locations outside their network, HTTP checks alone are not sufficient.

It was indeed an eventful year for us. With launching a slew of new capabilities, attending more than 23 global events, and conducting 12 seminars in multiple cities, the year 2018 was a blast. This year has also made us one of the firsts in the monitoring industry to introduce AI-driven Azure monitoring, along with many other significant enhancements.

May the new year 2019 bring you defect-less codes, high performance applications and light to guide your path to find root-causes easily for your WebLogic domains.

2019 could be the year of artificial intelligence (AI) in IT service management (ITSM). To better understand why this may be the case, let’s take a closer look at AI, how it works and the benefits associated with it.