The average cost of an IT outage is $12,900—per minute. And when it comes to a “significant outage,” organizations reported the average overall cost was a whopping $1,477,800. On the latest podcast episode of That’s great IT, I spoke with Scott Lee, AVP for infrastructure and ITOps at Arch Mortgage Insurance Company, part of Arch Capital Group, about how organizations can best navigate IT outages.
Root cause analysis (RCA) is a systematic approach to defining symptoms, identifying contributing factors, and repairing faults when problems arise. The process can be applied to virtually any problem in any industry, from NASA’s Apollo 13 mission to everyday tech problems that happen within modern IT departments.
I see it daily in my role, IT organizations are paying for best-of-breed monitoring tools but struggle to tie the pieces together between these siloed systems. The wound of these silos is further punctured when incidents arise. Incidents are costly for so many reasons, like wasted company resources, potential revenue loss, customer satisfaction, employee burnout, etc. This is exactly why BigPanda exists, to apply AI to the complex problems IT operations, NOC, SRE, and DevOps teams face daily.
IT people know that data is king, especially in optimizing IT operations. However, figuring out which metrics to collect and how to collect them can be challenging. IT teams have to factor in what IT directors, team managers, and the people overseeing operations want, what they’re concerned about, and what they consider important.
This is the story of an insurance company that was getting six million IT alerts every 90 days and how they used BigPanda’s AIOps to reduce it to less than 50,000. Before we get into that though, let’s take a step back. How did we, as an IT sector, get to a place where organizations receive 6,000,000 IT alerts in the first place?
It may be counterintuitive to tackle a problem without knowing exactly what the problem is, but an incident commander often does just that. In fact Rob Schnepp—founding partner at Blackrock 3, an Alameda, California-based incident management consulting group—says identifying the root cause of an incident is typically secondary to addressing the symptoms.
ITOps professionals know that their AI and automation goals can only be achieved with high-quality data. How can you get good-quality data? Incident Intelligence. In this on-demand session from Pandapalooza, our Group Product Manager, Orr Ganani, joined our Regional VP of Professional Services Sales, Jordan Gamble, to discuss Incident Intelligence and its benefits. Read on to learn more about Incident Intelligence from this webinar.
Today, many digital technologies in IT can operate with minimal human intervention. However, while they boost productivity and drive growth, any failure or unpredictable behavior can pose a significant challenge for the ITOps and DevOps teams. So, effective IT incident management helps minimize the impact of incidents on business operations and ensures that systems are restored as quickly as possible.
It’s no secret that every ITOps leader can face an ever-increasing amount of alerts. Since the dawn of digital, alerts have served an important purpose. Sometimes all those alerts can become overwhelming noise, and sorting out what is and is not a priority can become challenging. The good news is that artificial intelligence (AI) and machine learning (ML) are adept at processing large data sets in real time, looking for patterns and being able to aid in decision making.
