Chronically understaffed and constantly stressed-out IT Ops and NOC teams are overwhelmed by today’s IT noise. Artificial Intelligence (AI) and Machine Learning (ML) can help these teams because ML (and AI) are exceptionally good at processing enormous volumes of very complex data in real-time, or near real-time, and surfacing actionable insights. But ML successes in IT Ops are still hit-or-miss.
You’ve just recovered from a critical application outage and your team is being asked to report on root cause and recommended remediation steps later this afternoon. Can you quickly analyze all the data, identify all the leading events, and discern which one was responsible for the cascading failure?
Rapidly increasing IT complexity, customer expectations around application availability and performance, and the importance of supporting new digital initiatives and services, taken together, are placing unprecedented demands on Network Operations Centers (NOCs) and IT Operations teams inside large, complex organizations like yours.
Offsite meetings can be great for getting things done. Being out of the office can clear the cobwebs, break down barriers, and lead to real breakthroughs. At BigPanda, the marketing team has started experimenting with how we run offsites, with the aim of trying to find a “secret sauce” that leads to success – maximizing both team building and task execution that we tackle in our offsites.
IT Ops and DevOps teams in every organization are capable of focusing on revenue-generating initiatives and projects. Unfortunately they’re held back by constant fire-fighting…which means they are reduced to supporting just the current state and existing/legacy applications and services.
