Jacky Leybman from PagerDuty and Kaninie Knight from Slack share how their integration streamlines incident response and real-time collaboration. This session highlights practical workflows and measurable gains – such as faster triage and lower MTTR – achieved by connecting on-call operations directly in Slack.
In this session, Jacky Leybman from PagerDuty and David Lotan Bolotnikoff from Logz.io showcase how PagerDuty and Logz.io combine generative AI with rich historical context to automate root cause analysis and accelerate incident response. By correlating real-time telemetry with prior incidents and runbooks, teams reduce manual toil and MTTR while maintaining human-in-the-loop oversight and transparent reasoning.
Compliance has always been a necessity, but for many organizations, it has also been a burden. Reports, audits, manual reviews, and spreadsheets create a cycle of looking backward rather than moving forward. As systems become more dynamic, that lag between compliance checks and real-world change grows wider, creating risk that traditional methods can’t close. The goal now isn’t to check the box.
You ran Lighthouse and got a passing audit for “Has a tag with width or initial-scale.” Great. But do you know what happens when it’s missing? Your users wait an extra 300 milliseconds on every single tap. On mobile, that’s an eternity.
IT operations are changing faster than most people realize, making autonomous IT a 2026 reality, not a distant vision. Your team monitors tens of thousands of metrics, ingests terabytes of logs, and generates thousands of alerts daily. And somehow, you still find out about outages from customers before you see them in your tools. That gap between having visibility and actually understanding what’s happening has become the central problem.
Enterprise ITOps leaders are realizing that legacy incident management processes are collapsing under the weight of today’s sprawling, hybrid-cloud enterprise environments. The fastest path from reactive firefighting to proactive, automated control is an agentic AI-powered incident assistant that can understand context, coordinate people, and take intelligent action at machine speed. Enterprise IT doesn’t look anything like it did even five years ago.
Whenever service management has struggled, the conventional response was to add processes, tools, and people. That worked for a little while; at the very least, it worked well enough to keep the lights on. However, today’s environments don’t fail quietly or occasionally. They fail noisily and across tightly coupled systems. The end result is an operational model where human effort is consumed reconstructing context instead of resolving problems. More processes don’t fix that.
As enterprise IT continues to evolve, networking is becoming a strategic lever – one that directly impacts agility, resilience and the ability to compete. In a recent podcast episode, our CTO Paul Gampe shares the technologies he thinks will matter most for the foreseeable future. Three themes stood out: the rise of Network-as-a-Service (NaaS), the shift toward transmission on-demand at layer one and the rapid evolution of Model Context Protocol (MCP).
In this video, SolarWinds Tech Evangelist Chrystal Taylor and Staff Technical Trainer Cheryl Nomanson walk through a hands-on demo of the SolarWinds AI Agent, currently available for tech preview in SolarWinds Observability Self-Hosted.