Operations | Monitoring | ITSM | DevOps | Cloud

Recently, there has been a steep rise in the research and utilization of Artificial Intelligence (AI). While AI once seemed like nothing more than a fantasy from a sci-fi movie, AI technology is now very much a reality in our everyday lives. Artificial intelligence and machine learning are involved in many of our daily tasks, from search engines that finish your thought, to pulling up directions in Google Maps, and how your Facebook and other social feeds are so perfectly catered to your interests.

A selection of live questions and answers from the audience of our recent webinar on how site reliability engineers can best leverage intelligent observability to monitor SLIs and SLOs, prioritize reliability over functionality, and more.

AIOps is fast changing from a technology that was viewed with skepticism to an industry-changing innovation responding to the challenges of managing multifaceted, hybrid IT environments. Recently, our partner Pinnacle Technology Partners (PTP) hosted a panel discussion entitled: “Improving IT Management & Automation with AIOps,” led by Gary Derheim, VP of Managed Services & Marketing at PTP who interviewed executives and technical experts from PTP and OpsRamp.

IT Operations teams are often the bedrock of the digital business, ensuring that processes and services continue humming smoothly as developers continue to evolve and increase customer value. But increasingly complex systems can flood them with alerts that get in the way of operators from doing their best work and paving the way for new, innovative services.

IT operations departments in larger enterprises often use 10-15 monitoring tools across different teams to track the health and availability of their core business services. Rather than helping ITOps teams gain a comprehensive view of their infrastructure, an overload of monitoring tools tends to only compound organizational silos and limit insights for incident troubleshooting. Yes, there is too much of a good thing.