Operations | Monitoring | ITSM | DevOps | Cloud

It’s that most wonderful time of year! Even though it’s been extra challenging for everyone, we can still take a breath, reflect on lessons learned, and look to fill our proverbial cups with knowledge to take into the New Year. We thought we’d revisit a few of our most popular Automation and AIOps resources from 2020.

As we look ahead to 2021 and beyond, we can expect no shortage of opportunities to re-think IT for this era where digital infrastructure is critical to the survival of every business.

At PagerDuty, our 13,500+ customers are the reason we come to work every day.

There’s an AI-led developer and operations (DevOps) evolution afoot which is stoking SREs’ increasingly critical efforts to assure and improve the customer experience by automating the toil out of observability. This movement feeds on a supercharged process of turning telemetry into actionable insight by automatically drawing anomalies, changes and events out of the full-stack event and telemetry data, and analyzing it for correlation and causality.

In the evolving world of IT monitoring, I see that many organizations want to move to predictive monitoring. They usually allocate a significant budget for this type of effort that ultimately fails to yield the desired return on investment. Often, organizations are already collecting and processing large amounts of IT telemetry streams and using multiple solutions to monitor their systems. So, predictive monitoring seems like the logical next step.

Artificial intelligence for IT operations (AIOps) means a lot of different things to a lot of different people, so a definition of what it is and what it does is difficult to nail down. In an age where digital acceleration is priority zero, companies are evaluating cultural shifts towards new operating models like service ownership to unlock efficiency in a complex world of hybrid cloud environments, AIOps emerges as an attractive potential investment to solve central IT aches and pains.