Operations | Monitoring | ITSM | DevOps | Cloud

gitkraken

GitKraken's Claude Code Plugin Is Live: No CLI Required

Jul 30, 2026 By GitKraken In GitKraken
If you haven’t heard about our MCP server, you should really check it out. It’s probably the best way to give your agents access to the power of GitKraken’s integrations and features. Our MCP tools also help your agents understand your codebase in a way that we think lowers your token usage and improves their output.
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cloudzero

Agentic AI cost: why agents burn tokens and how to control it

Jul 30, 2026 By Keith MacKenzie In CloudZero
Agentic AI cost is what you pay to run AI agents, and it is mostly tokens. An agent does not answer once. It loops, calls tools, reads the results, and reasons again, re-sending a growing context every step. Anthropic found agents use about 4x the tokens of a chat, and multi-agent systems about 15x. You control it by capping runs, right-sizing the architecture, routing, caching, and measuring cost per task, then tying every agent to the AI ROI it produces.
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The Technologies Shaping the Future of Work

The Technologies Shaping the Future of Work

Jul 30, 2026 By OpsMatters In OpsMatters
Work is changing fast. The old nine-to-five grind feels outdated. People want flexibility. They want meaning. They want to avoid soul-crushing repetition. Technology drives this shift. New tools handle the boring stuff. They connect teams across continents. They make work more human, not less. The future workplace looks different than anyone predicted. It is more collaborative. It is more creative. It is powered by smart machines that amplify human potential. This transformation is already happening. Here is what it looks like.
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Faster Construction Estimates Start With Better Takeoff Control

Faster Construction Estimates Start With Better Takeoff Control

Jul 30, 2026 By OpsMatters In OpsMatters
Estimating pressure has always been part of construction. Plans come in late, bid dates stay firm, and estimators are expected to move quickly without missing scope. The problem is not only speed. The real challenge is producing a number that can survive review, negotiation, award, and handoff to the project team.
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manageengine

GPU monitoring in OpManager: Full visibility for every AI workload

Jul 29, 2026 By Visakh P S In ManageEngine
AI has moved to be a core part of enterprise infrastructure. GPUs are the engines behind that shift. Every training run, every inference request, and every fine-tuning job depends on GPU chipsets that are expensive and delicate. A GPU that overheats, runs out of memory, or sits idle for hours doesn't just slow a project down, it quietly drains the IT budget. Most monitoring tools weren't built with this hardware in mind. This leaves AI and DevOps teams blindsided when a job fails or a chipset degrades.
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iOPEX

Why 95% of AI Pilots Fail: 5 Questions from ServiceNow's Chief Transformation Officer for Every CXO

Jul 29, 2026 By Kedar Kulkarni , In iOPEX
Ask most enterprises why their AI program hasn't moved past pilots, and you'll get an answer about the model. It's not accurate enough, not fast enough, not cheap enough yet. Srikanth Akkiraju, who has run transformation at Philips and now at ServiceNow, doesn't buy it. In a recent fireside conversation with iOPEX, he made the case that the model was never the problem. The problem is that most enterprises haven't decided what they actually want AI to change. Five questions came out of that conversation.
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Software is a team sport. AI tooling forgot that - Upsun Product Highlights

Jul 29, 2026 By Upsun In Upsun
AI tools made individual developers faster. Teams still aren't shipping more product. That gap is the whole reason Upsun Dispatch exists. In this Product Highlights conversation, Kateryna Dvornichenko, a product manager at Upsun who has spent the past several months building Upsun Dispatch, explains why the tooling market got the unit wrong. Her take: "Making software is a team sport." We get into.
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