Operations | Monitoring | ITSM | DevOps | Cloud

PagerDuty AIOps helps NOCs modernize and move away from eyes-on-glass methods. These NOCs are a center of excellence within their organizations, spearheading data-driven optimization, enabling best practices and ensuring incident readiness.

PagerDuty AIOps helps service owning teams spend less time firefighting, reduce MTTR and create exceptional customer experiences. This improves culture and developer retention while increasing revenue for the entire organization.

PagerDuty AIOps helps MIM teams detect major incidents faster, improve MTTR and customer experience, and save SMEs time. This reduces the cost of each incident and mitigates risk.

Rich Lafferty, Staff SRE at PagerDuty and Stevenson Jean-Pierre, Senior Manager, Software Engineering at PagerDuty join Mandi Walls to talk about PagerDuty’s Failure Friday and Failure Any Day practices. PagerDuty has been using failure injection and chaos engineering methods to maintain the reliability of production services. Rich and SJP joined the PagerDuty live stream to talk about how the process works, how it has evolved, and how failure helps improve PagerDuty’s services.

Senior Product Manager Anojan Gunasekaran joins the stream to talk about what’s new in PagerDuty’s Analytics offerings. New Insights will be available to all accounts beginning in August 2023. Get the data you want from your PagerDuty account so you can manage your teams and metrics.

“AIOps” is a term some love to hate, but what makes it useful? In this episode, Heath Newburn breaks down the three things to look for in an AIOps solution: reduce noise, create context, and reduce toil. He also explains the challenges with domain-specific approaches, versus domain-agnostic approaches to AIOps. But even within that approach, Heath warns of “gotchas” in rules “tech debt”, data formats, and overall long implementation times.

Long gone are the days when data is batch loaded into a data warehouse for business intelligence reports that are looked at periodically and if something is broken, a few internal people would have to wait. Today, data pipelines are “infinitely more complicated”, with more sources from cloud services to on premises systems, and supporting data applications that are critical parts of a business’ ecosystem.

Learn how PagerDuty Runbook Automation can replace manual procedures in your runbooks with automated self-service tasks for faster resolution, simplified security and compliance and reduced support costs.

Rundeck by PagerDuty is open source software that provides a centralized platform to help you manage and automate operations tasks. When you integrate Ansible with Rundeck, you get even more benefits.

Generative AI is a rapidly-evolving ecosystem with a lot of attention. In this episode, Dormain Drewitz asks Sriram Subramanian about the main challenges to responsibly implement generative AI, including content that’s harmful, inaccurate or violates privacy or security standards. Sriram discusses Microsoft’s 6 tenets to responsible generative AI, as well as the notion of shared responsibility between platform providers and foundational LLMs and the developers and data engineers building on top. Sriram also answers questions about where to get started safely with generative AI and shares his framework for identifying opportunities to add value.