Operations | Monitoring | ITSM | DevOps | Cloud

“Morning, mate,” I greeted Dinesh as he walked into the office. “Nice get up for the big day!” He was wearing a pressed shirt, rather than his usual hoodie. “Thought I’d make an effort, you know,” he grinned. We’d been planning intensely for this moment for the last week or so – our meeting with Charlie, the CIO, to present the results of our Moogsoft experiments and ask for permission to extend the rollout across the enterprise.

Last week DevOps Institute’s Chief Ambassador, Helen Beal, and Moogsoft’s own Chief Evangelist, Richard Whitehead, continued to follow the exploits of DevOps Engineer Sarah and her journey towards AIOps and Observability enlightenment.

Here we are a full quarter into 2021, a year that took off in a huge way for us, and the momentum continues to grow strong. March was a monumental month, and now it’s a wrap. We released significant updates across the board in almost all areas of Moogsoft, including pushing innovation to newfound levels when it comes to the ease of integrating your metric and event data.

People around the world depend on Managed Service Providers (MSPs) to keep their businesses running like clockwork, even as their IT infrastructure evolves. Keeping workflows efficient leads to higher profits, but this can be a challenge due to a mix of on-premise infrastructures, public and private cloud, and other complex customer environments. The shift to remote work in 2020 due to the COVID-19 pandemic has only made this more challenging for MSPs.

This is the fourth 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, Sarah and company discover how AIOps gives them "the time to save time!"

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.