Operations | Monitoring | ITSM | DevOps | Cloud

GenAI Observability in Grafana Cloud: End-to-End Agent Debugging (Demo)

Jan 25, 2026 By Grafana In Grafana
From Observability for GenAI Applications (Grafana OpenTelemetry Community Call) We drill into traces to see which agents called which tools, where errors occurred, how long each LLM call took, and how costs and tokens are distributed. The walkthrough also covers using AI assistance to summarize long traces and identify optimization opportunities in real time..
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AI Hosting: The Colocation vs. Cloud Dilemma for Your Next Project

AI Hosting: The Colocation vs. Cloud Dilemma for Your Next Project

Jan 23, 2026 By Pulsant In Pulsant
Organisations running AI workloads, like banks training fraud detection models, hospitals testing diagnostic tools, or manufacturers using predictive analytics, all face the same problem: hosting them is costly and resource-intensive. They require dedicated GPUs running non-stop, vast amounts of data moving in and out, and far more power and cooling than a typical IT system.
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Feature Friday: Personalized Context in One Click. New Cortex MCP My Workspace

Jan 23, 2026 By Cortex | Internal Developer Portal In Cortex
Stop digging through tabs and explaining your role to your tools. In this Feature Friday, we’re unveiling 'My Workspace' for the Cortex MCP, designed to give you instant, personalized identity the moment you start your day. Before today, you had to manually fetch data from Jira, GitHub, and internal docs just to figure out your priorities. Now, you can simply ask, "What should I work on this week?" and get a parallel, high-speed pull of your entire ecosystem.
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Kentik

AI Is Bigger Than LLMs: Why Network Teams Need to Think Beyond Chatbots and Agents

Jan 23, 2026 By Phil Gervasi In Kentik
AI in network operations is more than chatbots and agents. LLMs make AI easier to use, but the real value comes from the underlying system of telemetry, data pipelines, analytics, ML models, domain knowledge, and workflows that help engineers reason, predict, and act. When designed thoughtfully, AI doesn’t replace engineers. Instead, it augments their expertise and reduces cognitive load across complex network operations.
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cloudzero

From Trough to Traction: 10 Real-World Lessons in Cloud and AI Efficiency

Jan 23, 2026 By Keith MacKenzie In CloudZero
When CloudZero CTO Erik Peterson joined the SourceForge podcast in January 2026, he didn’t just talk about cloud costs. He reframed them as a launchpad for innovation, survival, and competitive advantage. Whether he was describing the “trough of lost innovation,” the “freemium tax,” or why efficiency is the next frontier of engineering culture, Erik’s expert insights go beyond FinOps hygiene.
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solarwinds

Agentic AI Essentials: Adoption Pitfalls and How to Avoid Them

Jan 23, 2026 By Krishna Sai In SolarWinds
In the last article in this series, we explored how IT professionals and leaders can cut through the hype surrounding agentic AI and gain a deeper understanding of what the technology actually offers. Now, we turn to the practical side: how to integrate it effectively. Let’s explore the challenges and outline strategies that organizations of all sizes can use to adopt agentic AI with confidence.
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