Operations | Monitoring | ITSM | DevOps | Cloud

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podcast, Cortex CEO Anish Dhar joined host Hannah Clark to challenge a growing narrative: that software engineering is obsolete in the age of AI.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.

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.

Can AI/ML Guide Observability? Tech Talk #6

This talk will examine the application of Artificial Intelligence and Machine Learning in observability. It will cover how AI/ML is being used to monitor systems, detect anomalies, and extract insights from telemetry data. The session will provide information on integrating AI/ML into observability pipelines, improving analytical capabilities, and system performance.

How to Use an AI Assistant with Your Monitoring System - VictoriaMetrics MCP Server

Alex Marshalov explores the new VictoriaMetrics MCP Server. He moves beyond the hype to show what's truly possible today. The presentation offers a builder's perspective on integrating AI with time-series data, featuring a demo that showcases both the potential and the current realities (yes, there are some). See how we're thinking about solving complex monitoring challenges with AI. Resources for Further Learning.

Beyond the code: Shipping faster with AI with Leo P.

We’re running a short mini-series on The Debrief podcast called Beyond the code, where we interview our engineers about what it’s really like to build at incident.io. In this episode, we chat with Product Engineer Leo about how we’re using AI tools like Claude Code to ship more product, more quickly.

How One MSP Used AI to Cut Noise by 78% and Reclaim Engineering Time

An operations team at one of the Asia-Pacific’s largest managed service providers (MSPs) was drowning in their own success. Years of investment in monitoring tools and automation had created comprehensive visibility—and comprehensive chaos. Engineers opened dashboards each morning to find thousands of alerts waiting, with critical incidents buried somewhere inside. The scale of the problem was overwhelming their capacity to respond effectively.

Introducing Cause Analysis: Instant Triage for Traffic Changes with Kentik AI

Introducing Cause Analysis from Kentik, designed to simplify network traffic analysis and rapidly identify the root cause of issues. Learn how this exciting new feature streamlines troubleshooting, makes complex insights accessible, and boosts team efficiency for all users.

GPU Powerhouse: Scaling an AI Cloud in the Heart of Europe

The AI revolution needs more than models - it needs massive infrastructure. And Julien Gauthier is building it. In this episode of Uplink, Julien, CEO of Arkane Cloud, joins host Michael Reid to unpack how his company scaled from 3D rendering and gaming to delivering GPU cloud services for AI workloads across the globe. We explore how Arkane built a 1,000-GPU cluster in Paris (with capacity for 6,000), the rise of inference workloads in Europe, and the real-world engineering and business challenges of deploying high-density infrastructure - including cutting-edge liquid cooling handling 135kW per cabinet.

How Sentry's Seer AI Agent passes legal review: a guide for legal teams reviewing Seer

If your legal department is anything like ours, you’re being inundated with requests from the business to use more and more AI tools. Whether it's developers wanting to use coding agents like Cursor, to security implementing AI-driven investigations, to sales and marketing leveraging AI for call insights and competitive research, we've seen a shift in what teams are trying and buying.