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Grafana Labs blog on Grafana Labs
98 articles · Page 7 of 9
Finding performance bottlenecks with Pyroscope and Alloy: An example using TON blockchain
This article details how continuous profiling with tools like Alloy and Pyroscope was used to analyze submissions from the TON blockchain optimization contest. By leveraging eBPF-b…
Grafana security release: Critical and high severity security fixes for CVE-2026-27876 and CVE-2026-27880
Grafana has released versions 12.4.2, 12.3.6, 12.2.8, 12.1.10, and 11.6.14 to address critical and high-severity security vulnerabilities (CVE-2026-27876 & CVE-2026-27880). CVE-202…
From raw data to flame graphs: A deep dive into how the OpenTelemetry eBPF profiler symbolizes Go
This article details the complex process of symbolization – converting raw memory addresses captured by eBPF profilers into human-readable function names. It explains how, unlike t…
How OpenRouter and Grafana Cloud bring observability to LLM-powered applications
This article details how OpenTelemetry's eBPF profiler works under the hood to profile Go applications. It explains the complex process of translating raw CPU profiling data into h…
Instrument zero‑code observability for LLMs and agents on Kubernetes
This article details how to achieve zero-code observability for AI applications (LLMs, agents, vector databases) running on Kubernetes using Grafana Cloud and the OpenLIT Operator.…
Observe your AI agents: End‑to‑end tracing with OpenLIT and Grafana Cloud
This article details how to gain comprehensive observability into AI agents using OpenLIT and Grafana Cloud. It explains that traditional monitoring isn’t sufficient for these comp…
Monitor Model Context Protocol (MCP) servers with OpenLIT and Grafana Cloud
The article details how OpenRouter and Grafana Cloud are partnering to provide comprehensive observability for applications built with Large Language Models (LLMs). This integratio…
How to monitor LLMs in production with Grafana Cloud,OpenLIT, and OpenTelemetry
The article details how OpenRouter and Grafana Cloud are partnering to provide comprehensive observability for applications built with Large Language Models (LLMs). This integratio…
Open standards in 2026: The backbone of modern observability
This article details how to effectively monitor Large Language Models (LLMs) in a production environment using a powerful combination of tools. It demonstrates setting up observabi…
AI in observability in 2026: Huge potential, lingering concerns
This article details how to effectively monitor Large Language Models (LLMs) in a production environment using a robust observability stack. It outlines leveraging Grafana Cloud, O…