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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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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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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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AI in observability in 2026: Huge potential, lingering concerns

Mar 18, 2026 By Trevor Jones In Grafana
The role of AI in observability is evolving rapidly, but the data from our fourth annual Observability Survey makes one thing abundantly clear: the potential is real, and so are the reservations. Practitioners overwhelmingly see value in using AI to help surface anomalies, forecast and spot trends, assist with root cause analysis, and get new users up to speed quicker.
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Open standards in 2026: The backbone of modern observability

Mar 18, 2026 By Trevor Jones In Grafana
Open source software and open standards are now an essential part of how organizations maintain their systems. That's not to say they haven't always been important, but the fourth annual Observability Survey, brought to you by Grafana Labs, shows just how deeply the shift to open has taken hold, with 77% of respondents saying open source and open standards are important1 to their observability strategy.
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Bridge the DevSec divide: Using Grafana Cloud and Miggo for runtime protection

Mar 17, 2026 By Jonathan Price In Grafana
Note: This blog post is co-authored by Daniel Shechter, CEO and co-founder of Miggo Security. Modern runtime security is critical to understand complex systems and detect and protect against attacks, especially in rapidly evolving cloud native architectures. For many security teams, however, achieving deep visibility into runtime risks remains a moving target.
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Quickly go from exploration to action with new one-click integrations in Grafana Drilldown

Mar 16, 2026 By Brendan O'Handley In Grafana
The Grafana Drilldown apps gives you a queryless, point-and-click way to explore your metrics, logs, traces, and profiles. But finding an insight is only half the job—you still need to act on it. Previously, that meant leaving Drilldown, manually copying queries, and navigating through Grafana's dashboards, Alerting, and "Explore" interfaces to pick up where you left off.
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