Operations | Monitoring | ITSM | DevOps | Cloud

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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Why Your Hotel's Review Responses Matter More Than You Think for Guest Loyalty

Why Your Hotel's Review Responses Matter More Than You Think for Guest Loyalty

Jan 23, 2026 By OpsMatters In OpsMatters
Price wars? Those are yesterday's battles. Location advantages? Sure, they help. But here's what really determines whether guests come back to your hotel: trust. And trust doesn't live on your homepage; it lives in your review section. Every time someone takes fifteen minutes out of their day to write about their stay, your reply (or radio silence) tells them exactly who you are as a brand.
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civo

An introduction to GPU time-slicing

Jan 22, 2026 By Jubril Oyetunji In Civo
GPUs are no longer a niche component. Gamers know them for immersive graphics, workstation users rely on them for balanced performance, and in the age of AI, GPUs have become one of the most in-demand resources in modern infrastructure. They are also expensive. That reality creates two immediate constraints, for individuals and enterprises alike: GPU-backed instances should be provisioned deliberately, and once provisioned, they should be used efficiently.
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cloudzero

AI Anomaly Detection: Catch AI Cost Surprises Before They Kill Margins

Jan 22, 2026 By Lyne Carolyne In CloudZero
Consider this: traditional cloud cost monitoring was like checking your fuel gauge once a month — after the trip was already over. That model worked when infrastructure scaled slowly. You provisioned resources predictably and paid for stable, linear usage. AI breaks that model. Today, AI costs behave like a high-performance engine with a hypersensitive throttle. A small input, like a prompt change or a single power user, can dramatically increase your fuel burn in seconds.
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honeycomb

Measuring Claude Code ROI and Adoption in Honeycomb

Jan 22, 2026 By Mae Capozzi In Honeycomb
At Honeycomb, we’ve been using Claude Code across our engineering team for a while. Anecdotally, I had a sense of who the power users were, and I had seen some examples of complex usage. But I wanted to be able to confidently answer questions, like: Claude Code supports OpenTelemetry out of the box, which means sending telemetry to Honeycomb takes just a few minutes of configuration.
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grafana

ChatOps that actually works: Grafana Cloud, Slack, and AI-powered observability

Jan 22, 2026 By Ksenia Yadav In Grafana
Context switching isn’t just inefficient—under pressure, it’s exhausting. It slows decision-making, increases the risk of mistakes, and makes even experienced engineers feel like they’re always a step behind the system they’re responsible for. At Grafana Labs, we want to build tools that meet you where you are. That's why we embedded Grafana Assistant, our context-aware AI assistant, directly in Grafana Cloud.
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How to Troubleshoot BGP Faster with Kentik AI Advisor

Jan 22, 2026 By Kentik In Kentik
A BGP session goes down because a transit provider exceeded the maximum prefix limit. How do you find the root cause — fast? In this 10-minute demo, we walk through two approaches using Kentik AI Advisor. First, we troubleshoot step by step using natural language: asking AI Advisor to identify the affected interface, check for interface flapping, and review syslog messages until we find the maximum-prefix violation. Then we show how custom network context and natural language runbooks let AI Advisor do the entire investigation autonomously — following the same four steps a senior engineer would.
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MCP: Why AI Needs Git Intelligence

Jan 22, 2026 By GitKraken In GitKraken
GitKraken CTO Eric Amodio breaks down the Model Context Protocol (MCP) and explains why Git intelligence is critical for AI agents at GitKon 2025. In this session, Eric covers: What MCP is and why every major AI company adopted it Why AI needs Git history, not just file system access How GitKraken MCP removes Git pain safely The future of agentic developer workflows How Commit Composer uses AI to organize commits without losing data.
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