Operations | Monitoring | ITSM | DevOps | Cloud

cloudzero

How A Finance Director Found $30K/Month In AI Savings In 10 Minutes

Mar 18, 2026 By Emily Allen In CloudZero
A real workflow showing how Claude + CloudZero MCP turns plain-English questions into actionable cost intelligence — no dashboards, no tickets, no waiting As Director of Finance and Accounting at a software company, my job can be described simply: Understand what we’re spending, who’s responsible, and whether we can get more efficient. But as anyone who’s had to wrangle AI costs knows, doing so for AI is anything but simple.
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Engineers Want AI in Observability - With One Catch: 4th Annual Observability Survey by Grafana Labs

Mar 18, 2026 By Grafana In Grafana
Actually useful AI is welcome in observability. AI for the sake of AI is not. In this overview of Grafana Labs’ 4th annual Observability Survey, Marc Chipouras shares what 1,300+ respondents from 76 countries told us about the current state of observability — and what comes next. This year’s survey explores four major themes: The results show strong interest in AI for forecasting, root cause analysis, onboarding, and generating dashboards, alerts, and queries. But when it comes to autonomous action, practitioners are more cautious — and 95% say AI needs to show its work to earn trust.
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Flow State in an AI Workplace - Digital Friction 1:1 with Mike Lovewell

Mar 18, 2026 By Nexthink In Nexthink
Tom welcomes Mike Lovewell to explore how digital friction continues to shape the modern workplace. From early days of low awareness to today’s complex, AI-influenced environments, Mike shares how friction has evolved in scale rather than cause. They discuss the growing importance of flow state, the measurable business impact of small disruptions, and why adoption—not just technology—is the key to success. AI emerges as both a solution and a new source of friction, depending on trust and usability.
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bigpanda

How agentic AI for ITOps overcomes observability tool gaps

Mar 18, 2026 By Conor Castronovo In BigPanda
As enterprise ITOps teams monitor increasingly complex, cloud-based, containerized systems, traditional observability practices are struggling to keep up. As IT infrastructure complexity increases, the typical response is to layer on more monitoring, logging, and instrumentation.
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statuscake

Buy vs Build in the Age of AI (Part 3)

Mar 18, 2026 By James Barnes In StatusCake
In Part 1, we looked at how AI has reduced the cost of building monitoring tools. Then in Part 2, we explored the operational and economic burden of owning them. Now we need to talk about something deeper. Because the real shift isn’t just economic; it’s structural. AI isn’t just helping engineers write code faster. It’s accelerating the entire software ecosystem; including how monitoring tools are built, maintained, and trusted.
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harness

The Art of Prompting in AI Test Automation | Harness Blog

Mar 18, 2026 By Shibam Dhar In Harness
E2E Testing Has a New Bottleneck, and It's Not the Code End-to-end (E2E) testing has always been the hardest part of a QA strategy. You're simulating real users, navigating real flows, validating real outcomes across browsers, environments, and data states that never hold still. Traditional test automation tackled this with scripts: rigid, deterministic sequences tied to element selectors and hard-coded values. They worked until the UI changed. Or the data changed.
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circleci

What are test hooks in AI-native development?

Mar 18, 2026 By Jacob Schmitt In CircleCI
Summary: A test hook connects a test or lint command to an event in your AI coding agent’s workflow. When the event fires, the agent runs the command automatically. If it fails, the agent’s action is blocked. You can wire your existing test commands into your agent’s lifecycle hooks to get deterministic local validation before code ever reaches CI. AI coding agents write code at a pace where stopping to manually run tests breaks your flow.
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How Local-First AI Agents Are Reshaping IT Operations Automation

How Local-First AI Agents Are Reshaping IT Operations Automation

Mar 18, 2026 By OpsMatters In OpsMatters
IT operations teams have spent the last decade embracing automation - from auto-scaling rules and CI/CD pipelines to AIOps platforms that correlate alerts across sprawling infrastructure. Yet a fundamental tension remains unresolved: the most powerful AI automation tools require you to route sensitive operational data through external cloud services you do not control.
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