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FinOps Leaders Who Will Win The AI Era Are Already Experimenting

Mar 20, 2026 By Ben Austin In CloudZero

Engineering teams are shipping faster than ever. AI coding tools like Claude Code and OpenAI’s Codex have quietly removed some of the biggest friction points in the development cycle — and the result is that FinOps teams are being asked to keep up with a pace most practitioners haven’t fully reckoned with yet. That acceleration has a cost consequence. More shipping means more services, more experiments, more infrastructure spun up without review cycles.

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Cut your AI API costs while you develop. #speedscale #api #softwaredevelopment #aicoding #devops

Mar 20, 2026 By Speedscale In Speedscale

Speed is everything, but accuracy matters too. Learn the exact procedure to record live AI responses and use them as simulations for your automated tests. Watch the full breakdown and start saving tokens today.

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Instrument zerocode observability for LLMs and agents on Kubernetes

Mar 20, 2026 By Ishan Jain In Grafana

Building AI services with large language models and agentic frameworks often means running complex microservices on Kubernetes. Observability is vital, but instrumenting every pod in a distributed system can quickly become a maintenance nightmare. OpenLIT Operator solves this problem by automatically injecting OpenTelemetry instrumentation into your AI workloads—no code changes or image rebuilds required.

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Monitor Model Context Protocol (MCP) servers with OpenLIT and Grafana Cloud

Mar 20, 2026 By Ishan Jain In Grafana

Large language models don’t work in a vacuum. They often rely on Model Context Protocol (MCP) servers to fetch additional context from external tools or data sources. MCP provides a standard way for AI agents to talk to tool servers, but this extra layer introduces complexity. Without visibility, an MCP server becomes a black box: you send a request and hope a tool answers. When something breaks, it’s hard to tell if the agent, the server or the downstream API failed.

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Observe your AI agents: Endtoend tracing with OpenLIT and Grafana Cloud

Mar 20, 2026 By Ishan Jain In Grafana

In another post in this series, we discussed how to instrument large language model (LLM) calls. This can be a good starting point, but generative AI workloads increasingly rely on agents, which are systems that plan, call tools, reason, and act autonomously. And their non‑deterministic behavior makes incidents harder to diagnose, in part, because the same prompt can trigger different tool sequences and costs.

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How to monitor LLMs in production with Grafana Cloud,OpenLIT, and OpenTelemetry

Mar 20, 2026 By Ishan Jain In Grafana

Moving a large language model (LLM) application from a demo to a production‑scale service raises very different questions than the ones you ask when playing with an API key in a notebook. In production, you have to answer: How much is each model costing us? Are we keeping latency within our service‑level objectives? Are we accidentally returning hallucinations or toxic content? Is the system vulnerable to prompt‑injection attacks?

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AI commit volume is breaking pipelines

Mar 19, 2026 By CircleCI In CircleCI

CI/CD systems were designed for predictable workloads and AI is pushing more changes than most pipelines can handle.

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What Engineers Want from AI in Observability... According to the 2026 Observability Survey Report

Mar 19, 2026 By Grafana In Grafana

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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The Hidden Failure Points in Your AI Strategy

Mar 19, 2026 By PagerDuty In PagerDuty

New models, new agents, new capabilities. It seems like every week there’s a new must-have AI function. It’s no surprise that leaders are feeling pressure to move quickly. At a PagerDuty on Tour event, a customer joked that they couldn’t fathom having a five-year AI strategy; it makes way more sense to have a five-minute one. There’s truth in that comment.

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What's New in Turbo360 - AI agents for Azure cost optimization, Azure cost pulse summary report...

Mar 19, 2026 By Turbo360 In Turbo360

Turbo360 brings a suite of enhancements added to elevate your Azure management experience. Hit play to hear what's in store for this month. 00:00:00 - Intro 00:00:13 - Cost Pulse Summary Report 00:00:49 - Configuring Cost Pulse Summary 00:01:17 - New AI Agents (4 New Agents) 00:01:54 - Accessing AI Agents 00:02:18 - Related Resources Feature 00:02:40 - Budget Planner 00:02:59 - Setting Up Budget Planner Permissions 00:03:11 - Multi-Subscription Onboarding 00:03:43 - AI Agents Role-Based Access 00:04:10 - New RA-GRS Optimization Recommendation 00:04:30 - Summary & Call to Action.

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