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.

Mobile communications is a tough market to compete in. Mobile network operators (MNOs) are always slashing prices, offering promotions and doing whatever it takes to gain market share. Third-party service providers are often caught in the middle. Just ask the team at Syniverse, a major provider of number porting services in the U.S.

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.

Amidst the nonstop pace of work to constantly evolve today’s digital business, we can forget to take a moment out to think about how it is that we’re doing that work. A new series of ‘coffee break’ webinars aim to provide that opportunity by pausing to look at the ways humans can best work with observability data. In particular, Coffee Break with Helen Beal looks at improving the work done by different types of software engineers that leverage artificial intelligence.

This is the second in a series of blog posts exploring the role that intelligent observability plays in the day-to-day life of smart teams. In this post, meet our clever ITOps engineer, James, as he reduces noise and distraction using intelligent observability.

Leaders looking to measure the benefits of AIOps and build key performance indicators (KPIs) for both IT and business audiences should focus on key factors such as uptime, incident response, remediation time and predictive maintenance, so that potential outages affecting employees and customers can be prevented. Business KPIs connected to AIOps include employee productivity, customer satisfaction and web site metrics such as conversion rate or lead generation.

Available for Enterprise and Enterprise MSP customers, the new Header Graph (Beta) feature is being rolled out in the v148 release. This time-series graph allows for easy alert grouping to cut down troubleshooting time and quickly identify the resources that are causing an alert storm.