Operations | Monitoring | ITSM | DevOps | Cloud

New Alerts module, smarter workflows, AI-powered assistance, and more!

Sep 18, 2026 By ManageEngine In ManageEngine
In this edition of ServiceDesk Plus Premiere, our product experts take you through the latest updates across both ServiceDesk Plus Cloud and On-Premises, with enhancements designed to make everyday IT service management more efficient. For ServiceDesk Plus Cloud, we’ll explore the new Alerts module, enhanced criteria-based workflow routing, Resolution Assist powered by similar resolved requests, and asset discovery enhancements that bring greater visibility into the security components of Windows assets.
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Building an AI-Powered Time Series Dashboard for Data Center Ops

Sep 17, 2026 By InfluxData In InfluxData
AI demand is pushing data centers to get bigger, denser, and more distributed, while the data that runs them still often sits in different systems, slowing down operations and hampering efficiency. By leveraging a time series database like InfluxDB to create a single, unified telemetry layer, you can simplify your data stack, comfortably handle the high volume of data, and solve problems faster and more efficiently, helping to minimize waste and maximize efficiency, saving time, electricity, equipment, and money.
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harness

Platform engineering in the age of AI

Sep 17, 2026 By Nicole Morgan In Harness
94% of engineering leaders say their AI metrics are missing. Here's how platform engineering is changing to close that gap. Based on the InfoQ webinar "Platform Engineering in the Age of AI," featuring panelists from Harness, DKB, and Shine, August 18, 2026. 94% of engineering leaders say the AI metrics that matter most to them are missing.
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circleci

How to build a Language Server Protocol (LSP) plugin for Claude Code

Sep 17, 2026 By Roger Winter In CircleCI
Language servers give editors structured, real-time feedback: diagnostics, hover docs, autocomplete, and other guidance that would otherwise surface later. Language servers already exist for many of the languages and tools developers use every day, but Claude Code doesn’t automatically receive their feedback.
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ScienceLogic

Log Analysis with Machine Learning: An Automated Approach to Analyzing Logs Using ML/AI

Sep 17, 2026 By ScienceLogic In ScienceLogic
AI log analysis helps IT teams turn massive volumes of operational data into actionable insight. By applying statistical methods, machine learning (ML), semantic analysis, and generative AI, organizations can identify unusual behavior, connect related signals, and investigate probable root causes faster. But AI-generated answers should not be mistaken for proof.
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gitkraken

What Is an Agentic Development Environment? Kepler Is GitKraken's Answer.

Sep 17, 2026 By Jade Nangah In GitKraken
Every new AI coding agent comes with the same pitch: write code faster. For most devs, that part already checks out. Codex writes a function in seconds. Claude Code refactors a file mid-meeting. Copilot fills in a test before you finish describing it. None of that touches the problem that shows up an hour later: five agents running across three repositories, each with its own diff, and no single place to see what’s stuck, what’s done, and what’s actually safe to ship.
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Best AI Infrastructure Providers for Power, Cooling, and Compute

Best AI Infrastructure Providers for Power, Cooling, and Compute

Sep 17, 2026 By OpsMatters In OpsMatters
AI infrastructure is becoming a facilities problem as much as a compute problem. Adding accelerators is only useful when the surrounding environment can support them. Power has to reach the rack reliably. Cooling has to remove the heat produced under sustained load. The network fabric has to keep accelerators communicating. Storage has to feed the workload. Orchestration and monitoring then determine whether expensive capacity spends its time doing useful work.
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Cloud 66

Day 2 Operations for AI-Generated Code: What Changes When You Didn't Write It

Sep 16, 2026 By Kelley Schultz In Cloud 66
We have all watched AI speed up the way we write software. With tools like Copilot and ChatGPT, developers can spin up boilerplate, write complex functions, or draft entire micro services in minutes instead of days. It feels like magic. But there is a silent catch that we do not talk about enough: writing the code is only Day 1. The real challenge is Day 2 operations, which is everything that happens after that code is deployed.
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