Operations | Monitoring | ITSM | DevOps | Cloud

The Cost of Waiting: Why Operationalizing AI in IT Can't Be Delayed Any Longer

Most IT leaders already understand that AI is the future of operations, but too many are still treating it like it’s so far off. The irony? Waiting is exactly what’s costing them the most. While businesses obsess over budget cuts, resource constraints, and service quality, one truth remains: delays in adopting AI for IT operations are compounding operational inefficiencies, inflating labor costs, and stalling digital progress. AI isn’t just about innovation; it’s about scale.

Lessons from the June 12 Outage: Your Operations Are Only as Reliable as Your Incident Management Platform

As digital operations grow increasingly more complex, resilience is no longer optional, it’s essential. The next major outage isn’t a question of if, but when. And when it hits, the gap between true enterprise platforms and brittle point tools will become impossible to ignore.

Analytics Plus webinar: The GenAI-powered analytics roadmap for ITOps excellence

The future of IT is data-driven, and AI is leading the charge. GenAI and cutting-edge AI/ML capabilities can empower IT teams to spot hidden gaps, predict future needs, and drive strategic impact across the board. This webinar explores scenarios where AI-powered analytics address critical IT bottlenecks and amplify outcomes.

5 Best On-Call Scheduling Software (Reviewed & Ranked)

Looking for the best on-call scheduling software for your team? Or maybe you’re exploring alternatives to your current tool? Signing up for different on-call tools and testing them all takes weeks. That’s a lot of time you probably don’t have, especially when you need reliable on-call coverage now. That’s why I did the heavy lifting for you. I signed up for and tested the 5 popular on-call scheduling tools in the market: Spike, PagerDuty, Incident.io, Splunk Oncall, and OpsGenie.

Workforce 2030: Preparing Today for the Skills, Structures, and Shifts of Tomorrow

- Alvin Toffler History offers us a powerful lens for the present. The Second Industrial Revolution didn't just make factories faster; the advent of electricity and the assembly line fundamentally reinvented how societies were organized. Manual labor was augmented, displacing millions from agriculture while simultaneously creating entirely new classes of work in manufacturing and engineering. Productivity soared, not because people worked harder, but because the very definition of work was transformed.

Engineering Excellence in the Age of AI: It's Not Dead, It's Maturing

On a recent episode of The Product Manager podcast, Cortex CEO Anish Dhar joined host Hannah Clark to challenge a growing narrative: that software engineering is obsolete in the age of AI. His take? Engineering isn’t disappearing, it’s maturing. At Cortex, we work with some of the most forward-thinking engineering organizations at companies like Canva and Fanatics.

Getting Started with Puppet Infra Assistant: A Complete Guide

Managing today's complex enterprise infrastructure presents significant challenges — from siloed data and steep learning curves to time-consuming troubleshooting. As the pace of business accelerates and infrastructure demands grow, these obstacles are increasingly difficult to overcome. That’s why we built Infra Assistant, a new AI capability in Puppet Enterprise Advanced, powered by Perforce Intelligence.

Introducing AI Agent Monitoring in Sentry

Monitoring agents and LLM applications is... different. Managing everything from tool calls, to model configurations, token usage, and AI systems do their best to solve problems on their own - so errors aren't always clear. Sentry's agent monitoring focuses on making it easy to dive into your AI applications and understand whats breaking, where, so you can fix it faster.

Achieving Full Visibility: Modern Monitoring for Distributed Cloud Applications

Today’s applications are hybrid, cloud-centric, service-oriented, API-dependent, and geographically distributed. The monitoring practices we relied on for decades are no longer sufficient. It is critical to monitor all the internet-centric dependencies, connectivity, and cloud application components – and to do so from the user’s perspective so IT operations teams can achieve digital resilience and deliver performance. This session will cover DEM, APM, and IPM and how they can work together to pinpoint issues before they occur, so users receive a great digital experience.

Introducing AI Agent Monitoring

AI is changing how we build software — but debugging code still comes down to having context. One minute the model’s performance is cruising. The next, you’re hit with a KeyError from a tool you forgot existed, triggered by a model that silently timed out, and a retrieval call that returns... nothing, or 11 “Let me try this a different way" messages before failure. You’re stitching together LLM calls, agents, vector stores, and custom logic. Then hoping it holds up in prod.