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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

cloudzero

Shipped: Don't ask an AI agent what its work will cost

Sep 28, 2026 By Djo Lopez In CloudZero
If you set the budget for your team’s AI agent work, or answer to someone who does, you need a rough idea of what a job will cost before it starts. That’s hard to get. Stanford researchers found the same agent, given the same task, can use up to 30 times more tokens from one run to the next, and you usually find out afterward. Most developers just run the job.
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upsun

Before your AI bottleneck gets worse: what to put in place now

Sep 28, 2026 By Upsun In Upsun
Your engineers have agents running. Not one agent, but several, spread across the team. Some run in a terminal on a laptop, some are wired into your CI jobs, and some live inside whatever coding tool each person prefers. Each one got set up separately, by whoever needed it, in whatever way worked that week. That is the state most teams are in right now. Code stopped being the slow part a while ago.
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puppet

The Infrastructure Question Hiding Inside Every Government AI Conversation

Sep 28, 2026 By Puppet In Puppet
Government AI strategies are ultimately constrained or enabled by the infrastructure beneath them. Agencies that can continuously validate controls, maintain visibility, and automate policy enforcement will be better positioned to deliver AI capabilities securely, responsibly, and at scale.
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How to Build AI Agents That Take Action | Resolve Agent Lab Demo

Sep 28, 2026 By Resolve In Resolve
How do you build enterprise AI agents that actually take action? In this live demo, Resolve shows how Agent Lab helps IT and operations teams build, test, and deploy AI agents using natural language. See how teams can turn business requirements into executable workflows, give agents specific skills, establish guardrails, and automate real IT resolutions across enterprise systems.
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manageengine

Why Is GPU Utilization Low During AI Training? 6 Bottlenecks to Check

Sep 26, 2026 By Kaviya Radhakrishnan In ManageEngine
You bought the GPUs to make AI training faster. So why are they sitting idle? When GPU utilization drops during a training run, the obvious answer is to blame the accelerator. Maybe the workload is too small. Maybe the GPU isn't powerful enough. Maybe it's time to add more hardware. But what if the GPU isn't the problem at all? A training workload is only as fast as the infrastructure feeding it.
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speedscale

Test Your MySQL 8.4 Upgrade With Real App Queries

Sep 25, 2026 By Matt LeRay In Speedscale
Before you start, paste this into Claude Code, Cursor, Codex, Gemini CLI, Kiro, or any assistant that can read a URL and run commands: The install-speedscale skill installs proxymock for your operating system and walks you through proxymock init. It stops when you need to complete browser sign-in, keeps your recordings on your machine, and connects the proxymock MCP server so your assistant can run the prompts later in this article.
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devart

Database governance in the AI era: Framework, risks and best practices

Sep 25, 2026 By Rosemary Asufi In Devart
AI database governance can get overlooked when teams rush to connect AI tools to production data. IBM’s 2025 research found that 97% of organizations that reported a breach involving an AI model or application lacked proper AI access controls. The risk is easy to see. Give an AI agent too much access and it can expose or alter data in seconds. Feed it poor-quality data and it may produce a confident but incorrect answer.
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GitKraken Insights | AI feels faster. Make sure it is.

Sep 25, 2026 By GitKraken In GitKraken
AI feels faster. Make sure it is. GitKraken Insights shows engineering leaders the real cost, output, and ROI of their AI investment, per tool, per team, per developer. Then it gives every developer their own data and coaching to get more from it. 84% of developers say they feel more productive with AI. Only about one in five can actually measure the impact.* With GitKraken Insights, you can: We run on it ourselves: GitKraken's own engineering org reached 2.53x output in six months.
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