When you survey developers on how to improve engineering practices and their daily job experience, their answers invariably include getting rid of little annoying things - what's called toil. Toil is manual and repetitive tasks that waste your time. Toil is arguably worse than crisis, because a crisis is temporary and firefighting can feel rewarding when it's over. Toil is more like a death march - an insidious force that eventually leads to burnout.
The Network Operations Center (NOC)— the powerful, centralized epicenter that supervises, monitors, and maintains network availability—is the core of the network infrastructure. It’s up to the NOC to keep large, complex networks running reliably.
If you had the power to predict the future, how would you use it? Gartner refers to the predictive modeling process as that which collects data, formulates a statistical model, makes predictions, and then validates the model as additional data becomes available. In the world of intelligent automation, teams use predictive modeling to formulate how future outcomes or behaviors will be, by using historical data, machine learning (ML) algorithms, and analytical techniques.
At the beginning of 2023, I had a great conversation with Carlos Casanova, a Forrester Principal Analyst, in a recent webinar about how AIOps can help drive successful organizational change. According to our conversation, Carlos has divided the AIOps market into two camps: technology-centric (primarily APM/Observability players) and process-centric. PagerDuty is a process-centric solution leveraging multiple technologies.
It seems like we can’t escape the burden of uncertainty. From the countless things we were uncertain about during the Covid-19 pandemic to the current state of the economy, financial circumstances and trends, and fear of unemployment. For many of today’s businesses of all sizes, predicting the future might appear nearly impossible. IT teams at the start of the pandemic in 2020 shifted without notice to supporting remote employees.
