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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.

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.

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podcast, Cortex CEO Anish Dhar joined host Hannah Clark to challenge a growing narrative: that software engineering is obsolete in the age of AI.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

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.

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.

Why Every Digital Marketer Should Use a Proxy Browser in 2025

Arguably in the year 2025, digital marketing encompasses far more than simply keywords, an ad budget, and creative optimization of promotional materials. Rather, it is structured around visibility of competition; this includes tracking competitors as well as platforms, campaigns and audiences. However, such visibility is increasingly being restricted by advanced user fingerprinting, bot detection systems, and even regional filters. As these obstacles continue to rise, traditional browsers such as Chrome and Firefox will further fail to keep up with the operational burden marketers face on a daily basis.

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.

Puppet Infra Assistant: AI-Powered Natural Language Queries

Finding critical infrastructure insights shouldn't be a game of hide-and-seek. The new AI-powered Infra Assistant is a natural language interface that allows users of any skill level to chat with Puppet data and services for quick insights and reporting on infrastructure state. You don't need any Puppet experience to get started; it's safe to use in your infrastructure; and it's secured with explicit opt-in and robust role-based access control.