Operations | Monitoring | ITSM | DevOps | Cloud

Democratize Automation with AI-Generated Runbooks

Operational efficiency is as critical within the IT and engineering teams as any other part of the business. Automating repetitive tasks and reducing escalations within and to these teams is of immense value. While automation saves time and boosts productivity, the complexity of developing automation can be a limiting factor and bottleneck. Generative AI is a paradigm shift here, in that it brings consumer-style simplicity to assisting in the development of enterprise-grade automation.

The Unplanned Show, Episode 11: Donnie Berkholz on ITIL, DevOps and Platforms

In this episode, Donnie breaks down where ITIL came from and where it’s starting to go, and why that’s useful for teams that are trying to adopt DevOps practices in ITIL-oriented organizations. Donnie gives some great examples of building empathy and bringing the ITIL teams along for automating changes and decentralizing Sev 2 incident management. He also lays out his core philosophies on Platform Engineering and how to justify the effort.

Three Teams That Can Use AIOps to Work Smarter, Not Harder

There isn’t a boardroom today that isn’t asking what AI and generative AI in application can help drive efficiency and accelerate their business. For organizations looking to capitalize on ML and automation to improve their efficiency during incidents, AIOps is a tangible, proven application thatproves to be an exciting opportunity for ITOps teams. As we’ve seen across market landscape evaluations, there are a number of ways that solutions can be implemented.